Total 2,940 procurement engineer job vacancies in Information Technology category in Australia

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.

Responsibilities:

• Design, develop, and maintain Java applications to meet business and technical requirements.
• Provide expertise in coding, testing, deployment, and support of enterprise applications.
• Collaborate with architects, business analysts, and project managers to ensure timely delivery of robust and secure systems.

Requirement

• Diploma or degree in Computer Science, Information Technology, or related discipline
• At least 1 to 2 years of software development experience
• Experience with Java frameworks and enterprise application development
• Experience in AWS cloud, Springboot and ReactJS is an added preference
• Experience in system analysis, troubleshooting, and performance tuning
• Familiarity with the software development lifecycle (SDLC)

Interested applicants, Please send your updated resume in Word format to hres@itcspl.com

Please indicate Job Code "Java Software Engineer - 101" on email subject

We regret that only shortlisted candidates will be notified.

Bacalso John Bryan Bedayo (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311

Please visit www.itcspl.com to learn more information about ITC

Automation Software Engineer (PLC Programming) – $4,000 to $6,000 + Bonus

Join a leading Singapore-based automation engineering company serving the semiconductor and electronics industries. Be part of a highly technical team that designs and builds advanced automated production systems for global customers.

We are seeking a skilled Automation Software Engineer with strong PLC programming expertise to develop, integrate, and support high-performance control systems from design through commissioning.

Key Responsibilities

• Follow SDLC to develop reliable, maintainable automation software based on user requirements
• Draft functional and detailed design specifications
• Analyse client requirements and define design parameters for automation solutions
• Participate in control system requirement analysis
• Design and update electrical schematics and engineering drawings
• Source electrical components and prepare BOM
• Program PLC and HMI systems (Omron, Mitsubishi, Proface)
• Perform system integration, testing, debugging, and commissioning
• Maintain technical documentation and project records
• Conduct electrical wiring, troubleshooting, and software improvements
• Provide remote and on-site customer support, including overseas assignments
• Ensure project timelines and quality standards are met

Requirements

• Diploma / Degree in Electrical, Electronics, Control, or relevant Engineering field
• 2 years of experience in automation, semiconductor, or manufacturing industry
• Strong PLC and HMI programming skills (Omron, Mitsubishi, Proface)
• Knowledge of motion control, analog, PID, and process control
• Familiar with industrial communication protocols (Modbus, EtherCAT, EIP)
• Ability to read and troubleshoot electrical schematics
• Willing to travel overseas when required

What We Offer

• Basic salary: SGD 4,000 – 6,000
• Variable bonus
• Exposure to advanced automation projects and global clients
• Career growth in a high-tech engineering environment

Working Hours: Monday to Friday, 8:30 AM – 5:30 PM

Work Location: Ang Mo Kio

Job Responsibilities

• Serve as the software technical liaison for overseas automotive OEM customer projects, responsible for technical communication, reviews, delivery, and issue troubleshooting:
• Responsible for requirements decomposition and modular design compliant with Automotive SPICE framework;
• Responsible for writing embedded code, debugging, performance optimization according to Automotive standards;
• Produce design documents, reports, and other deliverables required by A-SPICE processes;
• Analyze and resolve technical issues during the software development process, and collaborate with relevant departments for product debugging;
• Responsible for supporting customer reviews of software-related designs.

Job Requirements

• Bachelor’s degree or above in Computer Science, Electronics, Automation, or related fields;
• At least 3 to 4 years of experience in automotive electronic software development, proficient in driver development and debugging, familiar with TCP/IP protocol, proficient in software analysis and design based on SOC or FPGA
• Proficient in C or C++ programming

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

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.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

• Build, enhance, and support backend solutions to ensure stable, secure, and efficient application performance.
• Collaborate with product, UI/UX, testing, and infrastructure teams to translate business requirements into technical deliverables.
• Prepare and maintain system documentation, technical references, and development records throughout project execution.
• Conduct code assessments and contribute to continuous improvements in software quality, maintainability, and development standards.
• Investigate application issues, implement fixes, and deliver assigned development tasks within project timelines.

Requirements:

• At least 3 years of software development experience using C#, .Net Core, Web Services, and Database Technologies.
• Familiarity with SQL/NOSQL platforms, container technologies, and cloud-based environments.
• Understanding of software design principles, distributed systems, and object-oriented development practices.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Responsibilities:

• Develop new applications and enhance existing systems using .NET, C#, and Angular
• Analyze and interpret requirements from Business Analysts and Consultants
• Design and implement solutions based on functional and technical specifications
• Collaborate with the development team while adhering to coding standards and best practices
• Provide on-site support as needed and travel overseas
  

Qualifications:

• Min 2–3 years of relevant working experience
• Proficient in frontend technologies (Angular, PrimeNG, HTML, CSS, JavaScript, JSON, Bootstrap) with experience in responsive design
• Basic to intermediate backend knowledge (.NET, C#, Web API, SQL Stored Procedures, SSRS)
• Solid understanding of Object-Oriented Programming (OOP) principles
• Familiarity with Git version control is an added advantage
• Able to work under tight deadlines with a strong sense of ownership

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

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 Perception Engineer, you'll develop the vision systems thatenable robots to understand, track, and interact with the physical world inreal time. You'll work on object tracking, 3D reconstruction, state estimation,and interaction-aware perception, building algorithms that remain robust underocclusion, contact, and dynamic scene changes. Your work will directly improvehow embodied robots perceive and respond to their environments, enabling morecapable and reliable real-world deployments.

What you'll work on

1.                         Develop and deploy interaction-aware perception algorithms forrobotic systems, including object reconstruction, tracking, and stateestimation during interaction;

2.                         Design and implement high-performance 2D/3D tracking algorithms forstable perception in dynamic environments;

3.                         Develop 3D reconstruction and representation methods for interactionscenarios, including neural fields and explicit representations (e.g.,Gaussian-based, mesh-based), as well as 3D asset creation and scene generation;

4.                         Improve fine-grained object modeling and tracking in close-rangeinteraction scenarios, handling occlusion, contact, and rapid state changes;

5.                         Optimize model inference performance to meet real-time requirements(low latency, high throughput);

6.                         Deploy and integrate algorithms into robotic systems, resolvingreal-world performance and stability issues;

7.                         Collaborate cross-functionally to close the loop between data,models, and system performance;

8.                         Build evaluation pipelines to improve robustness and deployability.

Technical Requirements

Must Have

1.                         Bachelor's degree or above in Computer Science, Robotics, ElectricalEngineering, Automation, or a related field;

2.                          3+ years of experience incomputer vision or robotic perception, with experience in tracking, 3D vision,or interaction-related problems;

3.                          Strong fundamentals incomputer vision, including multi-view geometry, camera models, and 3Dreconstruction;

4.                          Experience with objecttracking methods (e.g., tracking-by-detection, multi-object tracking, 3Dtracking);

5.                          Proficiency in deep learningframeworks (e.g., PyTorch), with strong model development and optimizationskills;

6.                          Strong engineering skills,with experience deploying models on GPU or embedded platforms;

7.                          Strong debugging andproblem-solving skills in real-world systems.

Nice to Have

1.                         Experience in 3D reconstruction (e.g., SfM, SLAM, neural fields,Gaussian-based methods);

2.                          Experience with 3D objectdetection and tracking (e.g., multi-object or cross-view tracking);

3.                          Experience deployingalgorithms on real robotic systems (not limited to offline research);

4.                          Experience in modelacceleration and optimization (e.g., TensorRT, ONNX, quantization, pruning);

5.                          Experience with multi-sensorfusion (e.g., camera + depth or LiDAR);

6.                          Experience with large-scaledata processing or data pipelines;

7.                          Proficiency in English readingand writing, with the ability to understand technical literature.

Your Impact

1.                         Your perception systems will power real-world robotic deployments,helping robots understand objects, scenes, and interactions beyond controlledlaboratory settings.

2.                         You'll improve the reliability and robustness of robotic perceptionunder challenging conditions such as occlusion, motion, contact, andenvironmental uncertainty.

3.                         You'll help bridge cutting-edge 3D vision research and productionrobotics by deploying high-performance perception systems onto real roboticplatforms.

4.                         You'll play a key role in enabling next-generation embodied robots toperceive, track, and interact with the world more intelligently and reliably.

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.

Our client is a Global Service Solution Provider, this client pride themselves with their firm commitment to personal development of their employees. With an established branches in more than 60 countries. Where the regional HQs is in the United States, United Kingdom, and Singapore. And additional outlets in Japan, Germany, India, Australia, South Korea, Indonesia, Dubai, and Vietnam.

With a global customer base, this client seek bright and dynamic individuals to join their growing and expanding team. This team offer their employees opportunities to learn and grow in a dynamic and fast-paced environment.

What our Client is Looking For

• Responsible for critical facility operation of data centers.
• Responsible for managing the changes on critical systems, responding the emergent failure and tracking preventative maintenance.
• Responsible for capacity management of facility systems power and cooling.
• Manage availability risk of facility systems and drive the resolution.
• Drive and implement projects to improve the capacity, efficiency and reliability of current facility system.
• Support IT manager (IT) on their project and operations.
• Support design and project teams on new site/data-hall construction and commissioning.
• Establish performance benchmark, conduct analyses, and prepare reports on all aspects of the critical facility infrastructure operations and maintenance.

Minimum Qualifications:

• Bachelors degree in engineering of electrical, mechanical or related field.
• 3+ years of critical facility management or operation experience in large scale data center or 5+ years large scale production facility management experience in large scale plant.
• Experience and knowledge of MEP equipment such as UPS, generator, Chiller, Pump, cooling tower, etc.
• Good sense of building and maintain a safety and high efficiency working environment in daily work.
• High attention to details to identify the risk and drive to resolve them.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

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:

•           Provide Level 2/3 IT network security operations support

•           Respond to incident calls and ensure the SLA to our clients is met

•           Perform changes to the network in-line with the organization’s ChangeManagement processes

•           Ensure compliance to policies, processes and standards, both internal andclients’ organization

•           Prepare network analysis reports, including findings with analysis

•           Participate in regular operations review meetings, including operationalissues, tickets review etc

•           Participate in projects/activities to support improvement initiatives

•           Conduct proper handover from the project team to operations after commissioningof projects.

•           Conduct internal training and/or knowledge transfer to team.

•           Update operations documentation (technical, CMDB, etc).

Requirements:

•           At least 5 years of experience providing network operational and administrationsupporting Cisco products (Routers / Switches/WLAN)

•           Diploma or Degree in Engineering, IT or its related field.

•           Minimum Cisco CCNP certification

•           In-depth knowledge of network routing and switching technologies and protocols

•           Knowledge of network security, load balancing and optimizationtechnologies 

•           Experience working with Cisco network, Bluecoat Proxy, F5 Load Balancer, PaloAlto/Checkpoint/Fortinet firewall and Splunk is preferred.

•           Ability to work in a multi-cultural team

•           Good communication skills both written and verbal.

•           Ability to prioritise work & multitask

•           Analytical and possess good troubleshooting skills.

•           Willing to work in extended hours and perform standby duty after office hour

Job Description

• Industry/ Organization Type: Industrial Automation
• Position Title: Field Application Engineer (Hybrid Working Arrangement)
• Working Location: Novena
• Working Hours: 5 days (Mon to Fri, 9AM to 6PM)
• Salary Package: Basic Salary up to $6,000 + AWS + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Work closely with the sales team to support the pre-sales process, including product demonstrations, presentations, spec-in activities
• Provide technical advice on system architecture and configuration for Industrial Data Solutions (IDS) portfolio
• Offer technical assistance and guidance on usage for IDS products, addressing basic queries and issues before they are escalated to the support ticket system
• Conduct training sessions for distributors, partners, and end users on IDS products, covering both technical and applications aspects
• Gather and relay customer feedback to the product team to support continuous improvement and product roadmap
• Bridge between the product team in the US & Europe and our SEA distributors, ensuring that partners are continuously updated with the latest product knowledge and developments
• Collaborate with the sales team to identify new opportunities and support market development activities for IDS products
• Any other ad-hoc duties as assigned

APPLY NOW!!!

• Diploma/Degree in Electrical Engineering, Electronics, Industrial Automation, or a related field.
• At least 3 years of working experience in a Technical Sales and Applications Engineering role, preferably within the industrial automation or industrial networking sectors
• Prior experience with control products in process industries such as O&G, Power, Renewable Energies, etc is highly desirable
• Hands-on experience with industrial communication protocols, PLCs, HMIs, or Industrial Ethernet switches is an advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #72298 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Contract Period: 18 Months

Working Location: Central / 2 days WFH

Role Overview 

We are seeking an experienced Network Engineer with strong IoT and telemetry systems expertise to support the design and implementation of a technology platform. The role will focus on field device connectivity, open-standard data protocols, edge communications, and reliable data transmission from environmental sensors and data loggers into a central ingestion platform. 

The ideal candidate has hands-on experience working across the full telemetry lifecycle, from sensor and data logger integration to operational device monitoring, buffering, and bidirectional communication with cloud or central data systems. 

Key Responsibilities 

• Serve as a technical lead for IoT connectivity, telemetry integration, and field-to-platform communication design. 

• Design and implement communication flows between automatic weather stations, data loggers, and the central ingestion platform. 

• Work with environmental telemetry equipment, commercial data loggers, and equivalent field instrumentation systems. 

• Develop integrations using open-standard IoT protocols such as MQTT or equivalent messaging protocols. 

• Implement edge-side data buffering and retry strategies to handle intermittent cellular or field network connectivity. 

• Support device state monitoring, sensor inventory tracking, calibration offset handling, and operational management workflows. 

• Perform low-level data manipulation, including byte stream parsing, bitwise operations, and Big-Endian/Little-Endian data handling. 

• Collaborate with data engineers, service designers, field technicians, and project stakeholders to validate end-to-end system behaviour. 

• Contribute to technical documentation, integration specifications, and operational handover materials. 

Required Skills and Experience 

• Strong experience designing or implementing IoT, telemetry, SCADA-adjacent, or sensor data communication systems. 

• Hands-on experience with data logger integration and environmental sensor platforms. 

• Proficiency in scripting or programming for device communication, data parsing, and protocol handling. 

• Practical experience with MQTT or comparable IoT communication protocols. 

• Good understanding of cellular network reliability issues, offline buffering, retries, and edge connectivity patterns. 

• Ability to troubleshoot field-to-cloud data flows across hardware, network, protocol, and application layers. 

• Strong technical communication skills and ability to work with both engineering and operational teams. 

Good to Have 

• Experience with meteorological, environmental monitoring, utilities, transport, industrial IoT, or mission-critical operational systems. 

• Familiarity with time-series data ingestion, device health monitoring, and calibration workflows. 

• Experience contributing to early-stage platform builds that later transition into production-grade platforms. 
  

8+ years of experience in technology delivery, project delivery, agile delivery, or release management.

Strong hands-on experience as an Agile Release Engineer,Technical Delivery Lead, Technical Project Manager, or Scrum Master in a scaled agile environment.

Good working knowledge of SAFe 6.0 framework and Agile Release Train execution.

Experience facilitating PI Planning, ART Sync, Scrum of Scrums, retrospectives, release planning, and dependency management.

Strong understanding of software delivery lifecycle, agile engineering practices, release management, testing cycles, and production deployment.

Ability to manage multiple teams, priorities, dependencies,and stakeholders in a fast-paced environment.

Strong communication, leadership, negotiation, and stakeholder management skills.

Ability to work with both technical and non-technical teams across business, product, engineering, QA, operations, and support functions.

Experience using tools such as Jira, Confluence, Azure DevOps, ServiceNow, or similar delivery tracking platforms.

Strong problem-solving skills with the ability to manage risks, unblock teams, and drive delivery outcomes.

Preferred Qualifications

SAFe 6.0 certification such as SAFe Release Train Engineer,SAFe Agilist, SAFe Scrum Master, or SAFe Practice Consultant.

Experience in customer experience, concierge services,loyalty platforms, travel services, digital service platforms, contact centre technology, or global service delivery environments.

Experience working with distributed teams across APAC,Europe, or global delivery locations.

Knowledge of cloud platforms, APIs, integration delivery, CRM platforms, service management systems, or digital customer platforms willbe an advantage.

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 Robot Learning Engineer, you'll develop learning-based systemsthat enable robots to acquire and execute intelligent behaviors in the realworld. You'll work across data, perception, learning, and deployment, buildingpipelines that transform observations into robust robot actions. Your work willdirectly improve how embodied robots learn, adapt, and operate in real-worldenvironments, helping bridge the gap between machine learning research andreliable robotic systems.

What you'll work on

1.                         Design and implement learning-based pipelines that map perception anddata to robot behaviors

2.                         Train, evaluate, and iterate on robot learning systems usingreal-world or realistically collected data

3.                         Work with perception and systems engineers to define clean interfacesbetween learning components and upstream/downstream modules

4.                         Debug learning failures by analyzing data, model behavior, and systeminteractions

5.                         Support deployment of learned behaviors on real robotic platforms,considering stability, safety, and system constraints

6.                         Improve learning workflows to make experimentation, evaluation, anditeration more reliable over time

Technical Requirements

Must Have

1.                         Bachelor’s or Master’s degree in Robotics, Computer Science, MachineLearning, or a related technical field

2.                         3+ years of hands-on experience building learning-based systems for robotics or embodied agents

3.                         Practical experience with robotlearning methods, such as reinforcement learning, imitation learning, ordata-driven control

4.                         Experience training and evaluating models using real-world or noisy data, not only clean offline benchmarks

5.                         Solid understanding of how learning systems interact with perception,control, and system constraints

6.                         Strong programming skills in Python (and/or C++), with the ability tomaintain and iterate on non-trivial learning codebases

7.                         Ability to debug learning failures by reasoning across data, models,and system behavior

Nice to Have

1.                         Experience deploying learned behaviors on real robotic platforms

2.                         Familiarity with simulation-based training, sim-to-real transfer, orhybrid data pipelines

3.                         Experience working with experiment tracking, evaluation tooling, orreproducible learning workflows

4.                         Understanding of safety, stability, or latency considerations inrobot learning systems

5.                         Prior collaboration with perception, systems, or infrastructure teamsin a robotics setting

6.                         Good English proficiency (spoken and written)

Your Impact

1.                         Your work will enable robots to learn and perform increasinglycapable behaviors in real-world environments, not just controlled researchsettings.

2.                         You'll help transform data and perception into deployable robotintelligence by building learning systems that are robust, reliable, andscalable.

3.                         You'll improve how quickly the team can experiment, evaluate, anditerate on robot behaviors, accelerating the path from ideas to deployment.

4.                         You'll play a key role in bringing modern robot learning techniquesinto production systems that operate on real robotic platforms.

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.

The Managed Services Cross Technology Engineer (L3/4) –System advanced engineering role, architecting level, responsible for ensuringa managed service is provided to all clients, to ensure that their ITinfrastructure and systems remain operational. This is done through proactivelymanaging, overseeing, monitoring, investigating, and resolving escalated technicalincidents and problems to ensure the restoration of these services to theclients.

The primary objective of this role is to understand, defineand implement the technical architecture and strategy for the organization'score platforms and or cloud infrastructure. They act as the deepest technicalexpert, building complex, highly resilient systems while leading the resolutionof systemic failures and setting the standard for IaC and automation bestpractices. Serves as the highest escalation point for all complex incidents orsituations. Also proactively review all client requests or tickets and applytechnical process knowledge to provide the clients with almost immediateresolution without breaching service level agreement (SLA).

The Managed Services Cross Technology Engineer (L3/4) –System focuses on forth line support for escalated incidents and requests witha high level of complexity. Ensures contracted Managed Services outcomes aredelivered to the client.

This is a strategic role focusing across various technologydomains such as (but not limited to) Cloud, Security, Networking, Applicationsand / or Collaboration.

This role may also contribute to / support on project workas and when required.

Key Responsibilities:

·       SystemStrategy and Architecture Ownership: Understand and define the technicalvision, standards, and multi-year roadmap for the organization's cloud andplatform infrastructure, ensuring highly scalable and cost-efficient designs.

·       L3/4Technical Authority: Serve as the ultimate systems expert and final escalationpoint for highly complex, cross-platform stability issues, failures, andperformance bottlenecks, leading resolution and comprehensive Root CauseAnalysis (RCA).

·       Advanced IaCDevelopment: Write, audit, and maintain mission-critical Infrastructure as Code(e.g., advanced Terraform modules) and custom platform tools (in Python/Go),driving the standardization of GitOps principles.

·       Resilience& Reliability Engineering (SRE): Architect and implement patterns for faulttolerance, automated failover, and Disaster Recovery (DR). Define and enforcehigh standards for SLOs/SLIs across all platform services.

·       Large-ScaleOrchestration: Design, optimize, and manage complex, multi-tenant Kubernetes(K8s) clusters (including networking, security, and upgrades), treating thecluster itself as the critical product.

·       Governanceand Mentorship: Dictate and enforce system engineering and security standardsacross all CI/CD pipelines and infrastructure codebases, actively mentoringother senior engineers in platform design and engineering excellence.

• Works independently, with general direction from the client, stakeholders, team lead, or senior manager, to perform operational tasks to resolve all escalated incidents/requests in a timely manner within the agreed SLA.
• Timely and consistent updates of tickets with resolution tasks performed.
• Proactively identifies, investigates, analyses issues and errors prior to or when they occur and log all such incidents in a timely manner.
• Captures all required and relevant information for immediate resolution.
• Provides forth level support to all escalated incidents, requests and identify the root cause of incidents and problems, respond to tickets where third line engineer teams were unable to fix the problem.
• Shares such knowledge, to resolve issues, document them, and push the knowledge down to other engineers.
• Communicates with other teams and clients for extending support. Acts as emergency support contact as needed, for critical client and business-impacting issues.
• Supports, tracks, and documents change implementation.
• Provides timely escalation of all tickets to management with ensuing updates, where applicable.
• Proactively identifies, contributes, implements and works with automation teams for effort optimization and automating routine tasks.
• Systematically gathers relevant information and applies technical knowledge to analyze and uses highly technical troubleshooting tools and content and analytical practices.
• Uses operational and diagnostic procedures to resolve escalated tickers in unique and complex client environments.
• Coaches L1, L2, and L3 teams offering technical expertise and pushing work down to other engineering teams.
• Performs quality audits, covering process, service experience, ticket updates, etc. as required.
• May manage and implement projects within technology domain, delivering effectively and promptly per client agreed upon requirements and timelines.
• May work on implementing and delivering disaster recovery functions and tests.
• Performs any other related task as required.

Knowledge and Attributes:

• Ability to communicate and work across different cultures and social groups.
• Ability to plan activities and projects well in advance, and takes into account possible changing circumstances.
• Ability to maintain a positive outlook at work.
• Ability to work well in a pressurized environment.
• Ability to work hard and put in longer hours when it is necessary.
• Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting.
• Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey.
• Excellent proficiency in change management process with an ability to plan, monitor and execute changes with clear identification of risks and mitigation plans to be captured into the change record.
• Deep technical skills in relevant functions.
• Excellent client service orientation and passion for achieving or exceeding expectations.

Academic Qualifications and Certifications and tools:

• Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience).
• Certifications relevant to the services provided (certifications carry additional weightage on a candidate’s qualification for the role).
• Relevant certifications include (but not limited to) -
• VMware certified Professional: DATA Centre Virtualization.
• VMware Certified Specialist – Cloud Provider.
• VMware Site recovery Manager: Install, Configure, Manage.
• Microsoft Certified: Azure Architect Expert.
• AWS Certified: Solutions Architect Associate.
• Veeam Certified Engineer (VMCE).
• Rubrik Certified Systems Administrator.
• Storage HDS
• VMware VRA
• Ansible
• Opswat, Splunk, Cyberark
• Nvidia AI
• SRE, Devops, Gitlab, Automation
• Containers, etc.