Total 1,588 software architect job vacancies in Information Technology category

Position Overview

EOS Innovation Singapore is seeking software engineers across a range of experience levels to support the development of advanced defence products. These are hands-on engineering roles embedded within multidisciplinary teams of mechanical, electronic, optical and systems engineers. The work combines software development with real hardware integration, experimental subsystems and evolving product requirements, and will suit engineers who enjoy solving practical problems, working close to prototypes and equipment, and turning emerging capability into robust, production-ready software.

Primary Duties

This role contributes to the design, development, integration, verification and support of software used in complex defence systems. Engineers in this position will work across activities such as equipment interfacing, control and automation, algorithm implementation, user interfaces, test support and system integration. More experienced candidates will be expected to provide technical leadership, guide software design decisions, mentor less experienced engineers and help shape robust engineering practices. Earlier-career candidates will be expected to contribute strongly to hands-on development, integration and problem-solving, while growing into increased technical ownership over time.

Responsibilities

·       Design, develop, test, integrate and maintain software for advanced defence products, ranging from equipment interfacing and control functions to data processing, automation and user-facing applications.

·      Work closely with multi disciplinary engineering teams to integrate software with prototypes, experimental hardware, embedded devices and evolving system designs.

·      Translate engineering requirements into practical software designs and contribute to verification and validation activities to demonstrate performance, safety and compliance.

·      Investigate and resolve technical issues encountered during development, integration, test and production support, including unexpected behaviours at system and equipment level.

·      Produce and maintain clear technical documentation, including design descriptions, interface definitions, test procedures, test records and manufacturing support material.

·      Apply sound software engineering practices, including version control, code review, debugging, testing and configuration management.

·      For more experienced candidates, lead software design activities, contribute to architecture decisions, support design reviews and provide technical guidance to other engineers.

·      Engage with internal stakeholders and customers to clarify requirements, communicate technical progress and support engineering decisions throughout the product lifecycle.

Education and Experience

·       Degree in Software Engineering, Computer Engineering, Computer Science or a related discipline.

·      We welcome candidates across a range of experience levels, from early-career engineers with strong technical foundations to senior engineers with substantial experience delivering software for engineered products or integrated systems.

·      Experience with software development tools and practices, including source control, development environments, compilers, debugging and test tools.

·      Experience in one or more relevant technical areas such as C, C++, Python, embedded or Linux-based development, hardware interfacing, network communications, web-based interfaces, JSON or automated test is desirable.

·      Experience taking software from concept through prototyping, integration, verification and release is advantageous; for senior candidates, this is expected.

·      Experience working in defence, safety-critical, regulated or other high-integrity engineering environments is beneficial.

Skills and Attributes

·       Strong analytical, debugging and problem-solving skills.

·      Practical, hands-on approach and willingness to work closely with hardware, prototypes and multi disciplinary teams.

·      Clear communicator and effective collaborator.

·      Able to adapt to changing requirements and work effectively in an experimental development environment.

·      Self-motivated and able to manage time and priorities within a project environment.

For more experienced candidates, ability to lead technical work, contribute constructively to design reviews and mentor other engineers.

About Akkodis

Akkodis is a global leader in engineering and R&D, leveraging the power of connected data to accelerate innovation and digital transformation. With over 50,000 engineers and digital experts across 30 countries in North America, EMEA, and APAC, Akkodis delivers deep cross-sector expertise across industries.

Akkodis offers strong capabilities in key technology areas including mobility, software and technology services, robotics, testing and simulation, data security, and AI & data analytics. Akkodis is part of the Adecco Group and operates as a commercial brand under which both AKKA and Modis entities operate.

IVVQ / Applications Integration & Validation Engineer

Travel -This role requires travel to Europe once every two months (approximately two weeks per trip), indicating a stronger on-site integration and customer-facing scope-please apply only if you are open to travel scope.

Role Overview

This role focuses primarily on Integration, Verification, Validation and Qualification (IVVQ) activities for mission-critical defence systems. The engineer will be responsible for validating system behaviour, executing integration and acceptance testing, troubleshooting defects, and ensuring operational readiness across complex software and hardware environments.

The role is approximately 90% testing, validation and system integration, with only 10% coding or software development for automation, tooling, and troubleshooting purposes.

Key Responsibilities

1. System Integration & Validation (Primary Focus – 90%)

•Execute Integration, Verification, Validation and Qualification (IVVQ) activities for defence-grade systems.

•Develop and maintain test procedures, test cases, validation plans and qualification documentation.

•Perform functional, system, regression, integration and acceptance testing.

•Validate end-to-end workflows across software applications, middleware, databases and infrastructure components.

•Execute interface and API validation (REST/SOAP).

•Conduct message flow verification across middleware and message brokers (Kafka, RabbitMQ).

•Analyze system behaviour, identify defects and perform root-cause investigation.

•Support Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), User Acceptance Testing (UAT) and operational readiness activities.

•Work closely with software, infrastructure and system engineering teams to resolve integration issues.

•Produce validation reports, test evidence and qualification documentation required for project milestones.

•Participate in defect triage, anomaly tracking and verification of corrective actions.

2. Test Automation & Tool Development (10%)

•Develop and maintain lightweight automation scripts in Python or C to support testing and validation activities.

•Build test harnesses, simulators and utilities to improve testing efficiency.

•Automate test execution, log collection and result analysis where appropriate.

•Support CI/CD pipelines for automated test execution.

3. Environment & Deployment Support

•Deploy and configure test environments using Docker and Kubernetes.

•Support CI/CD pipelines and release validation activities.

•Monitor application logs and system performance during testing campaigns.

•Assist with infrastructure troubleshooting and operational readiness verification.

Essential Skills & Qualifications

Experience (3–8 years preferred)

•Integration, Verification, Validation & Qualification (IVVQ) experience.

•System Integration Testing (SIT), System Validation and Acceptance Testing.

•Defect investigation and troubleshooting in complex environments.

•Test procedure and validation documentation development.

•Working with multi-system and distributed applications.

Technical Skills

•Strong experience in testing and validation environments.

•API testing using Postman, SoapUI or equivalent tools.

•Message broker validation (Kafka / RabbitMQ).

•SQL and database validation.

•Linux environment and command-line troubleshooting.

•Basic scripting in Python or C for automation and tooling.

•Docker and Kubernetes exposure.

•CI/CD pipeline usage and release validation.

•Jira, Confluence and test management tools.

Nice to Have

•Defence, aerospace, transportation or safety-critical industry experience.

•Automated testing frameworks.

•Network troubleshooting knowledge.

•Experience supporting FAT, SAT or operational acceptance activities.

Ideal Candidate Profile

•Strong system tester with integration and validation experience.

•Enjoys troubleshooting and defect analysis more than software development.

•Comfortable working across software, infrastructure and operational environments.

•Methodical, detail-oriented and process-driven.

•Able to produce high-quality validation evidence and documentation.

Don't miss out on this chance to be a part of a dynamic and growing team. Take the Next Step in your career journey with us!

• To apply, please submit your updated resume along with your notice period. [ We are looking for someone to start ASAP]

  Click on the 'Apply here' button to drop your resume directly or email it to susmita.SAHU@akkodis.com

  Our team will review all applications and contact shortlisted candidates for further steps in the selection process.

Software Engineer (PLC Programming)

• Working days: Monday - Friday 830am to 530pm
• Location : Ang Mo Kio Techplace
• Salary: $4,000 - $6,000

Job Responsibilities

• Follow Software Development Life Cycle (SDLC) to develop high-quality, maintainable software meeting user requirements
• Draft functional and detailed design specifications
• Interpret client requirements, identify design parameters, and ensure solutions are delivered accurately within budget and timeline
• Participate in control system requirement analysis
• Design and update electrical schematics drawings
• Source and select electrical components, prepare and issue BOM
• Perform PLC & HMI programming, system implementation, testing, and debugging
• Maintain detailed documentation
• Coordinate with internal teams to meet project requirements and schedules
• Perform basic electrical wiring and troubleshooting
• Analyze existing software and propose improvements
• Ensure timely resolution of software and electrical issues
• Provide remote and on-site troubleshooting support at customer sites

Job Requirements

• Diploma / Degree in relevant Engineering discipline
• Minimum 2 years of experience in automation / semiconductor industry
• Strong PLC & HMI programming skills (preferably Omron, Mitsubishi, Proface)
• Programming skills in Motion Control, Analog, PIDs, Process Control.Motion Control, Analog, PID, Process Control (added advantage to have)
• Knowledge of high-end fieldbus communication (eg. Modbus, EtherCAT, EIP) is an advantage

Ho Ming Jie (Edmund) Reg No: R1987094

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Company Overview:

Realtek is a leader in the communications network industry with cutting-edge solutions that power next generation experiences. Each year, more than 2 billion Realtek chips are integrated into products from leading global brands in consumer electronics, peripherals, communications networks, automotive and medical technology. At Realtek, we foster an exciting and inclusive environment that empower teams to collaborate, push boundaries and redefine possibilities.

Job Summary:

Join us as an experienced Software Engineer to drive the development of innovative, high-performance automotive products from inception. Play a pivotal role in shaping software architecture, designing embedded software/firmware and tool applications, and enhancing test methodologies. Collaborate with systems design, marketing and customer support teams to ensure our products exceed industry standards in functionality, performance, and reliability.

Key Responsibilities:

· Develop and validate software, firmware, tools applications, and/or specialized utility and test programs.

· Design software architectures that interoperate with standard interfaces and open systems.

· Engage in all phases of software development – design, coding, unit testing, debugging, integration and release – while meeting key specifications and schedules.

· Participate in code/design reviews, triage, issue resolution to improve product reliability.

· Analyse customer needs and system requirements to design and customize software for optimal performance, scalability and interoperability.

· Provide guidance on technical software design, feasibility with effective documentation.

Requirements:

· Bachelor’s / Master’s degree in Engineering, Information Science, Computer Science or related field.

· Strong understanding of embedded systems fundamentals and computer architecture.

· 8+ years of working experience in embedded systems development, software architecture.

· Proficiency in C/C++ and bash scripting, with familiarity in at least one of the following:

o Python, C#, .NET, WPF, WinForms.

· Experience in development for and testing on Linux / embedded Linux platforms.

· Expert proficiency with system debug and analysis tools.

· Possess good working knowledge of network and communication protocols. e.g., I2C, SPI, MDIO, GPIO, UART, TCP/IP, ETH, Wi-Fi, etc.

· Independent, self-starter with strong problem-solving and analytical skills.

· Familiarity with software life cycle development processes and secure coding principles.

Preferred:

· Experience in C# GUI app development, tools development incorporating UI/UX.

· Experience in automation testing and CI/CD tool integration to enhance workflow efficiency.

· Experience in usage and deployment of emulation platforms for development and debug.

· Working knowledge of automotive networking and communication technologies.

Highlights:

• Permanent job opportunity
• 5 days work week, normal office working hour
• Great remuneration & benefits
• Great career progression
• With good experience in C#, .NET core, Dockers, Cloud are welcome.
• Exposure in iGaming industry are highly advantage
• Location: Central

Responsibilities:

• Design, develop and maintain web applications
• Write technical documents or specifications
• Review committed source code among team members
• Work closely with cross-functional teams such as product owners, frontend, design, QA, infra and operations teams
• Complete tasks assigned by team lead

Requirements:

• With over 3 years of hands-on experience in software engineering, with exposure to the full development lifecycle
• Strong proficiency in .NET technologies, including C#, .NET Core, Web API, and Entity Framework
• Experience working with both SQL and NoSQL databases; MySQL is preferred
• Practical experience with containerization tools such as Docker
• Familiarity with cloud platforms, especially AWS, is a plus
• Solid understanding of object-oriented programming (OOP) principles and design patterns
• Knowledge of microservices and multi-tier (N-tier) system architecture

HOW TO APPLY:
Interested applicants, kindly send your resume in MS WORD format to dicksern@trustrecruit.com.sg or please click on “Apply Now” and provide the below details in your resume.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Lim Dick Sern (Dick Sern)
EA Personnel Reg No: R22106832

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for the newly formed software engineering team within the Cloud & Third-Party Security team in Singapore, you will be a foundational lead for our new, high-impact software engineering team. You will act as a technical leader to hire and manage software engineers and work cross-functionally with stakeholders across Google to enable achieving our risk reduction goals.

Qualifications

Job responsibilities

• Build and lead a team of software engineers, combining technical leadership and people management to build scalable products that identify and remediate security gaps in Alphabet's usage of public cloud infrastructure, third-party vendors, and SaaS.
• Drive the technical roadmap to support risk reduction goals by addressing ambiguous problems, identifying future work, and ensuring technical excellence and manageable complexity.
• Oversee engineering projects, drive key architectural decisions and influence strategies across partner security and software engineering teams while building strong collaborations.
• Partner with cross-functional roles (e.g., Security Engineers, TPMs) to define requirements and implement systems that enable the rollout of controls to reduce the risk of undermanaged cloud and third-party vendor usage.
• Cultivate a high-performing engineering culture by overseeing staffing, driving professional growth through mentorship, and leading career development and performance management initiatives.
  

Minimum qualifications

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience in a people management or team leadership role.
• Ability to present complex technical concepts to technical and non-technical audiences.
• Strong ability to partner with global stakeholders to align team goals with broader organizational objectives.
• Ability to deliver against product deliverables in ambiguous environments.
• Proven track record of managing an engineering team, with a strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the Role

We are looking for a highly technical Software Development Engineer in Test (SDET) to ensure the stability, security, and accuracy of the enterprise-grade Generative AI and agent orchestration platform.

This is a dynamic, hybrid engineering role designed for long-term growth. A substantial portion of your initial focus will be on iteratively establishing the testing strategy - tackling the unique challenges of LLM evaluation, RAG accuracy, and real-time streaming, while retrofitting automation onto the existing codebase. With an automation framework established, the scope of this role will transition into cross-functional engineering, contributing to backend feature development, internal tooling, or supporting the upcoming Data Platform project.

If you are a developer who is deeply passionate about quality, comfortable using AI-assisted tools ("vibe coding") to accelerate test creation, and eager to grow into full-stack or data engineering within the GenAI space, this is the perfect opportunity.

Core Responsibilities (QA & Automation Focus)

• AI/LLM Evaluation & Data Governance: Develop "Golden Datasets" and securely generate synthetic test data, ensuring strict adherence to IM8 data masking and anonymization policies (e.g., ensuring no production PII leaks into SIT/UAT environments). Leverage internal toolkits (Moonshot) and platforms (Litmus) to evaluate prompt regressions, manage inherent LLM non-determinism (mitigating "flaky" tests), and track AI quality metrics.
• API & Streaming Testing: Design tests for Server-Sent Events (SSE) to validate stable streams, timeout handling, and accurate JSON parsing. Validate FastAPI endpoints focusing on complex state transitions (e.g., Bot Approval workflows).
• Codebase Transition & Retrofitting: Collaborate alongside existing vendors during an overlap period to audit the current codebase, reverse-engineer existing workflows, and iteratively retrofit comprehensive automated tests onto the running system to ensure long-term stability.
• Security & Sandbox Testing: Rigorously test the AI Marketplace's Role-Based Access Control (RBAC) and tenant isolation. Validate the security and lifecycle of Agentic "Code Interpreter" sandboxes, ensuring isolated execution and proper environment cleanup.
• E2E UI Automation: Iteratively build and maintain an E2E suite using Playwright or Cypress (TypeScript). Validate dynamic UI components (Mermaid.js, markdown), file upload workflows, and secure browser live-view functionalities.
• CI/CD & Quality Gates: Work closely with the DevSecOps Engineer to execute test suites seamlessly within self-hosted GitLab CI/CD pipelines. Establish strict "Quality Gates" (e.g., automatically blocking deployments if regression thresholds or hallucination rates are exceeded) while navigating the constraints of a restricted government network.
• Performance & Load Testing: Utilize tools (e.g., k6, Python asyncio) to simulate concurrent SSE connections. Monitor and manage AWS Bedrock Token/Request per minute (TPM/RPM) limits to prevent throttling under load.

Cross-Functional Responsibilities (Growth Focus)

• Feature Development: As the automated testing pipeline stabilizes, transition into writing production code. Pick up development tickets alongside the Full-Stack and GenAI engineers (e.g., bug fixes, building internal dashboards, API enhancements).
• Data & Analytics Support: Leverage your database and data-validation skills to assist in laying out the groundwork for the upcoming internal Data Platform.
• Team Quality Enablement: Champion a culture of quality. Empower and guide other software engineers in writing their own unit and smoke tests, utilizing Moonshot and Litmus across the development lifecycle.

Qualifications

• Experience: 3+ years of experience in Software Engineering, SDET, or highly technical QA Automation roles, with a demonstrable commitment to software quality.
• Coding Proficiency: Strong programming skills in Python (for backend/API/load testing) and TypeScript/JavaScript (for frontend automation).
• Automation Frameworks: Proven experience building E2E automation frameworks using Playwright or Cypress, and API testing tools (Pytest, Postman).
• System Debugging: Comfortable tracing logs and debugging errors in distributed, containerized environments (AWS ECS, Kubernetes/EKS, or CloudWatch) to provide developers with highly actionable bug reports.
• Database & Cloud: Proficiency in SQL (PostgreSQL) and working familiarity with AWS cloud services (S3, CloudWatch, Bedrock).
• Data Resourcefulness: Experience generating synthetic test data and navigating strict data privacy regulations (e.g., government or financial sectors).
• AI/LLM Interest: A strong desire to learn and tackle the unique testing challenges of Generative AI, RAG architecture, and streaming responses. Adaptability to learn and master proprietary internal AI testing tools.

Nice-to-Have (Bonus Points):

• Previous experience as a Software Developer, Data Analyst, or Data Engineer.
• Experience with automated security testing tools (OWASP ZAP).
• Familiarity with government enterprise environments and high-security data compliance (e.g., IM8).

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Responsibilities:

• In charge of establishing the process and work in the team to implement risk management best practices in projects
• Implement and maintain the office's ISO 13485 and IEC 62304 compliant quality management system processes and procedures across departmental work and projects.
• Responsible in providing guidance and development support to the projects handled
• Taking charge of validating and advising project teams on regulatory, quality and risk requirements
• In charge of implementing and maintaining ISO 13485 and IEC 62304-compliant quality management system processes and procedures
• Responsible in
• In charge of managing project tasks which includes ensuring of timely completion of project milestones and meeting KPIs
• In charge of compliance with quality, regulatory and organisational policies and systems while supporting required record-keeping and documentation.

Requirements:

• Min Degree in Engineering /Science or relevant
• Min 2 years of working experience in QMS, Risk Management and design & development in medical industry
• Experience in ISO13485 /IEC62304 audit is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Responsibilities

• Lead the design and delivery of end-to-end technical solutions, translating business requirements into scalable system architecture.
• Provide hands-on development support using .NET (C#) and AngularJS / Angular, contributing to key features where required.
• Guide and mentor developers by conducting code reviews, enforcing best practices, and ensuring high-quality deliverables.
• Collaborate with cross-functional teams (e.g. project managers, system integration, functional teams) to resolve technical issues and production incidents.
• Oversee and enhance CI/CD pipelines and deployment processes to ensure reliability and efficiency.
• Define and maintain development standards, documentation practices, and testing approaches(unit/integration).
• Support project planning by providing effort estimation, timelines, and technical input for enhancements and new initiatives.
• Participate in technical evaluations and hiring processes, while fostering a strong engineering culture within the team.

Requirements:

• Degree in Computer Science, Information Technology, Engineering, or related discipline.
• At least 8 years of software development experience, with strong hands-on expertise in .NET (C#) and AngularJS / Angular frameworks.
• Solid experience with REST APIs, SQL Server, and modern development practices (e.g. CI/CD, version control, testing).
• Strong leadership, problem-solving, and communication skills, with the ability to guide teams and manage complex technical challenges.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.
Email resume to ken.ng@peopleprofilers.com

People Profilers Pte Ltd, 20Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Key Responsibilities

• Design and implement key CV and Deep Learning algorithms to enhance scene understanding and robot perception.
• Develop and optimize 3D point cloud-based feature detection, tracking, and segmentation pipelines
• Develop robust sensor calibration pipelines
• Train, tune, and deploy deep learning models for object detection and semantic segmentation
• Calibrate and tune perception sensors (LiDAR, RGBD, stereo cameras) for robust performance in real-world conditions
• Collaborate closely with teammates from navigation and SLAM teams to deliver high-quality autonomous software stacks that powers next generation cleaning robots.
• Produce clean, efficient, and well-tested C++ and Python code
• Contribute to technical documentation, testing infrastructure, and team knowledge sharing

Qualifications & Experience

• Bachelor’s or Master’s degree in CS, Robotics, or a related field (or PhD with relevant focus)
• 3+ years of industry experience in robotics perception or applied computer vision
• Proficient in data structures, algorithms and software design
• Proficient in C++ and Python development on Linux
• Hands-on experience with Deep Learning frameworks such as, PyTorch or TensorFlow
• Familiarity with 2D/3D sensor processing and related libraries such as OpenCV, PCL, etc
• Strong theoretical understanding of Deep Learning (DL) models related to Computer Vision (CV).
• Knowledge of common image classification, object detection and tracking algorithms.
• Familiarity with recent research trends in DL/CV.
• Experience working with ROS1 / ROS2
• Experience working with sensor modalities such as Stereo Cameras, RGBD cameras and 2D/3D Lidars.

Thanks,

Saghana Sithara

BusinessManager, Recruitment| Quess Selection & Services, Singapore

EA LicenseNumber: 23C2060 Registration ID is R1550224

Disclaimer: The company is committed to ensuring theprivacy and security of your information. By submitting this form, you consentto the collection, processing, and retention of the information you provide.The data collected (which may include your contact details, educationalbackground, work experience and skills) will be used solely for the purpose ofevaluating your qualifications for the position you're applying for. Your datawill be stored securely and retained for the duration necessary to fulfil ourhiring process. If you are not selected for the position, your data will bekept on file for a limited period in case future opportunities arise. You havethe right to access, correct, or delete your data at any time by contacting usat Quess Singapore | A Leading Staffing Services Provider in Singapore(quesscorp.sg)

“This is in partnership with the Employment andEmployability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers andemployers seeking employment and employability solutions. e2i serves as abridge between workers and employers, connecting with workers to offer jobsecurity through job-matching, career guidance and skills upgrading services,and partnering employers to address their manpower needs through recruitment,training, and job redesign solutions. e2i is a tripartite initiative of theNational Trades Union Congress set up to support nation-wide manpower andskills upgrading initiatives. By applying for this role, you consentto Quesscorp Singapore’s PDPA and e2i’s PDPA.”

We are seeking a highly skilled Senior Software Engineer with strong expertise in Java and AWS cloud technologies to design, develop, and maintain scalable enterprise applications. The ideal candidate will have hands-on experience in microservices architecture, cloud-native development, and DevOps practices, delivering high-performance solutions in a fast-paced environment.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and deploy cloud-native solutions on AWS.
• Develop RESTful APIs and microservices-based architectures.
• Collaborate with business stakeholders, architects, and cross-functional teams to define technical solutions.
• Optimize application performance, scalability, and security.
• Implement CI/CD pipelines and automate deployment processes.
• Perform code reviews and mentor junior developers.
• Troubleshoot production issues and provide timely resolutions.
• Ensure adherence to software development best practices and coding standards.

Required Skills & Experience

• 5+ years of software development experience with Java.
• Strong expertise in:Java 8/11/17Spring Boot, Spring CloudMicroservices ArchitectureREST APIsHibernate/JPAMaven/Gradle
• Hands-on AWS experience with services such as:EC2ECS/EKSLambdaS3RDSDynamoDBAPI GatewayCloudWatchIAMVPC
• Experience with Docker and Kubernetes.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Experience with Git version control.
• Strong understanding of Agile/Scrum methodologies.
• Excellent problem-solving and communication skills.

Preferred Skills

• Experience with Kafka or RabbitMQ.
• Infrastructure as Code (Terraform, CloudFormation).
• AWS Certifications (Developer Associate, Solutions Architect).
• Experience with distributed systems and event-driven architectures.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the Role

In this role, you will be instrumental in building a comprehensive Agentic Framework. You will focus on the complex orchestration of LLMs, integrating third-party tools, establishing agent observability, and designing the intelligent backend services that power the AI applications. If you are a builder who thrives on solving complex orchestration problems and loves using AI-assisted tools ("vibe coding") to accelerate delivery, this is the role for you.

Key Responsibilities

• Agentic Orchestration & Development: Design and build advanced orchestration layers using Python based frameworks (e.g., LangGraph, n8n) and cloud-native AI services (e.g., AWS Bedrock Agents). Develop and onboard new "skills" and third-party API tool calls for autonomous agents.
• Advanced RAG & Cloud Integration: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines. Integrate with LLMs heavily utilizing the AWS ecosystem (Bedrock) and internal government API gateways, managing context windows and embedding strategies.
• Platform & Marketplace Architecture: Design and develop the backend architecture for the AI capabilities marketplace, allowing users to securely publish, share, version, and manage datasets, custom document chatbots, newly developed AI agents and agentic "skills".
• Backend & API Engineering: Architect and develop robust backend services and APIs. Design and manage relational databases (PostgreSQL) to support application state and complex AI workflows.
• Vector Search & Data Handling: Manage and optimize search/retrieval mechanisms using vector databases and search engines (e.g., OpenSearch) to improve data retrieval accuracy and latency.
• Agent Observability & Evaluation: Implement telemetry and observability for AI agents (e.g., tracking token usage, latency, and tool-call success). Build mechanisms to evaluate LLM outputs and mitigate hallucinations.
• AI Guardrails & Enterprise Security: Implement robust security measures around LLM usage, including prompt injection defenses, data masking, and output filtering, ensuring all AI interactions comply with strict government data privacy policies.
• Data Pipelines & Platform Support: Build robust data ingestion and processing pipelines (ETL) to feed the vector databases.
• Full-Stack Collaboration: Work closely with frontend engineers and UI/UX designers to seamlessly connect complex AI backend processes with React and Next.js frontends.

Qualifications

• Experience: 5+ years of software engineering experience, with mandatory and proven proficiency in backend development, API design, and system architecture.
• GenAI/LLM Experience: Hands-on experience building applications using AI middleware/frameworks (LangChain, LlamaIndex, LangGraph) and managed LLM services.
• Cloud Ecosystem: Strong familiarity with cloud service providers. Deep knowledge of the AWS ecosystem (specifically AWS Bedrock, Bedrock Agents, OpenSearch) is highly preferred, though equivalent experience in Azure or GCP is acceptable.
• Database Mastery: Strong experience with Relational Database Management Systems (RDBMS), specifically PostgreSQL, alongside Vector DB concepts.
• Modern Development: A working understanding of modern frontend frameworks (React/Next.js) and ability to leverage AI-assisted coding tools (vibe coding) while maintaining strict code quality, security, and the ability to debug complex integrations manually.

Bonus Points:

• Workflow Automation: Experience with visual node-based workflow builders (n8n, Flowise).
• GenAI Observability: Experience with LLM observability and evaluation tools.
• Government Standards: Experience building applications that comply with strict data privacy and security standards (e.g., IM8 policies).

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Responsibilities:

• In charge of establishing the process and work in the team to implement risk management best practices in projects
• Implement and maintain the office's ISO 13485 and IEC 62304 compliant quality management system processes and procedures across departmental work and projects.
• Responsible in providing guidance and development support to the projects handled
• Taking charge of validating and advising project teams on regulatory, quality and risk requirements
• In charge of implementing and maintaining ISO 13485 and IEC 62304-compliant quality management system processes and procedures
• Responsible in
• In charge of managing project tasks which includes ensuring of timely completion of project milestones and meeting KPIs
• In charge of compliance with quality, regulatory and organisational policies and systems while supporting required record-keeping and documentation.

Requirements:

• Min Degree in Engineering /Science or relevant
• Min 2 years of working experience in QMS, Risk Management and design & development in medical industry
• Experience in ISO13485 /IEC62304 audit is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

We are seeking a talented and driven AI Computing Platform Software Developer to join our cutting-edge engineering team. In this role, you will be responsible for designing and developing software systems and toolchains that power AI computing platforms. Your work will focus on optimizing performance, scalability, and efficiency for AI workloads, ensuring our platform meets the growing demands of machine learning and deep learning models. You will collaborate with researchers, data scientists, and engineers to build next-generation AI computing platform and infrastructure.

Key Responsibilities:

• Design, develop, and optimize the software architecture and source code for AI computing platforms that support machine learning and deep learning workloads.
• Implement and enhance algorithms for distributed computing, parallel processing, and NPU/GPU acceleration.
• Work on software components that interface with hardware accelerators such as NPUs, GPUs, and specialized AI chips.
• Collaborate with AI researchers and developers to improve platform performance for complex AI applications.
• Design and implement tools and frameworks for efficient deployment, monitoring, and scaling of AI workloads.
• Integrate new AI models and algorithms into the computing platform while ensuring scalability, fault tolerance, and efficiency.
• Collaborate with cross-functional teams to troubleshoot and resolve platform-related performance issues.
• Conduct performance profiling, optimization, and benchmarking to ensure the platform delivers high throughput and low latency for AI workloads.
• Stay up-to-date with the latest developments in AI hardware and software architecture, and continuously improve platform capabilities.

Required Skills and Qualifications:

• Bachelor degree in Computer Science, Electrical Engineering, or a related field. Extensive experience in developing high-performance software for computing platforms, ideally with a focus on AI/ML workloads.
• Strong programming skills in languages such as C/C++, Python, or Go, with a focus on low-level programming for high-performance systems.
• In-depth knowledge of AI model optimization such as quantization, model graph pruning and model parameter compression.
• In-depth knowledge of parallel programming techniques and distributed systems.
• Experience with GPU programming (CUDA, OpenCL) or specialized hardware accelerators (e.g., NPUs, FPGAs).
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or MXNet.
• Understanding of AI model deployment, orchestration, and optimization on large-scale platforms.
• Experience with containerization (Docker, Kubernetes) , AI computing platform (HuggingFace, Kaggle) and cloud infrastructure (AWS, GCP, Azure).
• Strong problem-solving skills and the ability to optimize software performance for AI workloads.

Preferred Qualifications:

• Experience with deep learning frameworks and tools for performance profiling and optimization.
• Knowledge of low-level hardware optimization techniques (e.g., memory management, CPU/NPU/GPU instruction tuning).
• Familiarity with AI compiler and system-level software for AI computing platforms, such as TensorRT , ONNX Runtime, LLVM，MLIR, TVM.
• Background in designing and implementing high-performance distributed systems and storage solutions.
• Strong understanding of networking, I/O, and data management techniques for AI workloads.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As a Locomotion Engineer, you'll develop and deploy locomotionpolicies that enable humanoid and bipedal robots to move robustly in the realworld. You'll work across simulation and hardware, training policies, improvingsim-to-real transfer, and solving challenging problems in dynamics, control,and robot embodiment. Your work will directly power real-world robotdeployments and help advance the capabilities of next-generation humanoidsystems.

What you'll work on

1.                         Design, train, and evaluate locomotionpolicies in simulation (RL, imitation learning, etc.)

2.                         Develop and optimize Sim2Realpipelines, including domain randomization and system identification

3.                         Deploy locomotion policies onto real-worldbipedal/humanoid robots, ensuring robustness and stability

4.                         Enable generalization acrossmultiple robot embodiments (e.g., different biped morphologies)

5.                         Address real-world challenges such as contact uncertainty, sensornoise, latency, and actuator limits

6.                         Collaborate cross-functionally with hardware and software teams tobridge the sim-to-real gap

7.                         Analyze real-world failures and iterate on training and system design

Technical Requirements

Must Have

1.                         Bachelor’s degree or above in Robotics, Automation, ElectricalEngineering, Mechanical Engineering, or related fields.

2.                         3–6 years of experience in robotics system integration, automationimplementation, or related engineering roles.

3.                         Strong experience in roboticlocomotion or motion control, with hands-on policy training in simulation

4.                         Solid understanding and practical experience with Sim2Real transfer, including domainrandomization and/or system identification

5.                         Proven track record of deployinglocomotion policies onto real bipedal or humanoid robots (core requirement)

6.                         Strong foundation in dynamicsand control, especially for contact-rich systems

7.                         Experience with simulation tools such as MuJoCo, Isaac Gym/Sim, Newton, or similar

8.                         Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX)

Nice to Have

1.                         Experience deploying locomotion policies across multiple robot embodiments or platforms

2.                         Proven track record of multiplesuccessful Sim2Real deployments

3.                         Familiarity with whole-bodycontrol, state estimation, and low-level control systems

4.                         Direct experience with humanoidrobots

5.                         Experience with real-timesystems and high-frequency control loops

Your Impact

1.                         Your locomotion policies will run on real humanoid and bipedal robotsoperating outside controlled laboratory environments.

2.                         You'll help bridge the gap between simulation and reality, improvingrobustness against real-world challenges such as contact uncertainty, latency,sensor noise, and hardware variation.

3.                         You'll contribute to building more capable and adaptable robots byenabling locomotion across multiple embodiments and deployment scenarios.

4.                         You'll play a key role in turning cutting-edge research intoreliable, deployable robotic systems that can scale beyond prototypes anddemonstrations.

Why Join Us

Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.

Location

This role is based on-site in Singapore, working closely with theengineering team and robotic systems.

Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.

How to Apply

Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.

We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.