Total 2,033 Senior Executive firmware engineer job vacancies in Singapore

About Doodle Labs 

Doodle Labs is the global leader in high-performance private wireless systems. We build cutting-edge mesh networks for robotics, drones, and the Industrial Internet of Things. Doodle Labs has experienced rapid growth over the past five years as our radio systems have been adopted by Fortune 500 companies (e.g. Airbus, General Electric) and industry-leading innovators (e.g. Boston Dynamics, FLIR) 

Your Opportunity 

Your opportunity to work with cross-functional teams of RF, Software, Mechanical design, NPI, Operations and Manufacturing/Quality assurance to build the next generation of Doodle Labs' radio portfolio.  

The successful candidate will have significant experience in RF development, Product Engineering and manufacturing of Radio products. 

Key Responsibilities: 

• Lead product engineering activities for one or more radio product lines from design through validation and manufacturing.  

• Own technical execution for product bring‑up, debugging, test, and validation.  

• Drive design for manufacturability (DFM), design for test (DFT), and cost optimization initiatives. 

• Develop and improve test setups, automation scripts, and validation processes to reduce test time and improve coverage.  

• Support regulatory and compliance certifications (FCC, CE, etc.).  

• Manage component obsolescence and support End‑of‑Life (EOL) transitions.  

• Produce and review technical documentation including datasheets, integration guides, and application notes.  

• Mentor and provide technical guidance to junior Product Engineers. 

Job Requirements 

• Bachelor’s or Master’s in Electronics Communication Engineering or a related field  6-9 years of industry experience 

• In-depth knowledge of radio/Wi-Fi product development, Product Engineering and quality control 

• Strong hands‑on experience with hardware bring‑up, debugging, and manufacturing support.  

• Solid understanding of quality control, validation, and production test methodologies.  

• Ability to work independently in a fast‑paced, cross‑functional environment. 

We are seeking a high-caliber Senior DevOps Engineer to lead the optimization and management of our high-concurrency trading infrastructure. You will be a key bridge between Development and Operations, ensuring the low-latency, high-throughput performance of our matching engines and wallet services. This role demands a strong focus on automation, scalability, and "Infrastructure as Code" (IaC) in a multi-cloud environment.

Key Responsibilities:

Trading Core Business Support

• Customize low-latency and high-throughput system tuning for core components, including Matching Engines, Wallet Services, and Market Data feeds. Provide architectural stability and scalability advice during the design phase.

Cloud-Native & Automation

• Manage multi-cloud resources (AWS, GCP, Azure, Alibaba Cloud) using IaC tools (Terraform, Ansible, Pulumi) to avoid vendor lock-in. Oversee Kubernetes (K8s) clusters and optimize microservices elasticity using Helm/Operator.

CI/CD Pipeline Design

• Build and maintain GitOps workflows (GitLab CI/ArgoCD) to achieve rapid deployment and near-instant rollback capabilities.

Full-Stack Observability 

• Integrate Prometheus, Grafana, ELK, and OpenTelemetry to build a comprehensive monitoring system that detects transaction delays and fund anomalies in real-time.

DevSecOps & Security

• Integrate security scanning (SonarQube/Snyk) into pipelines. Maintain WAF, firewall, and IDS/IPS strategies in production to ensure compliance with external audits.

Incident Management

• Participate in and manage the 7x24 on-call rotation. Act as an Incident Commander during production issues and drive Root Cause Analysis (RCA) to prevent recurrence.

Job Requirements:

Professional Experience

• Substantial experience in IT infrastructure, with a significant focus on DevOps or Site Reliability Engineering (SRE). 
• Background in crypto exchanges, high-frequency trading (HFT), or high-concurrency Fintech platforms is highly preferred.

Technical Skills

• Expert-level Linux system administration and proficiency in Shell/Python scripting for kernel-level performance troubleshooting.

• Hands-on experience with CI/CD toolchains (GitLab CI, ArgoCD) and IaC (Terraform, Pulumi).Deep expertise in Kubernetes ecosystems (Helm, Kustomize, Operator).
• Familiarity with DevSecOps practices and cloud security best practices (SonarQube, Snyk).

Soft Skills

• Strong ownership and the ability to remain calm and decisive under extreme market volatility.
• Excellent cross-departmental coordination skills to bridge the gap between Dev and IT.
• Highly self-driven and adaptable to a professional remote or hybrid collaboration model.

Drive feature delivery and reliability for OpenWrt-based routers; be the go-to engineer for complex firmware issues and cross-discipline integration with RF and hardware teams.

Key Responsibilities:

• Lead design and implementation of medium-to-large features (driver tweaks, hostapd enhancements, ACS/DFS improvements, power management).
• Own troubleshooting of field escalations and complex regressions; design fixes and tests.     
• Improve CI/CD for firmware builds, add automated RF test hooks and performance benchmarks.       
• Mentor junior engineers, perform thorough code reviews, and champion best practices.
• Collaborate with RF/HW/product on calibration flows and factory provisioning.

Must-have:

• 5+ years embedded Linux experience with 3+ years on OpenWrt or similar embedded distributions.     
• Strong C, shell, and Python; experience with kernel debug (dmesg, perf, ftrace) and device trees.     
• Solid knowledge of Linux networking (bridging, ip, netfilter/nftables, qdisc) and wireless stacks (mac80211/hostapd).
• Experience shipping production firmware and participating in release processes.

Nice-to-have:

• Driver experience on Qualcomm/Atheros platforms, familiarity with ath9k/ath10k.
• Experience with Wi‑Fi roaming, mesh (802.11s), MLO or Wi‑Fi6 features.
• Background in OTA/A-B updates, secure boot, or telemetry stacks.
  

• Support theproduction of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical datascience models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugsthat arise in the process.
• Work in a teamsetting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with therelevant software platforms in which the models are deployed.

Mandatory Skills Description:

• Minimum of 6 to 9 years of experience to implement the solution
• Multi-Agent System Design & Orchestration
• Full-stack AI Integration (Frontend to Backend)
• AI Safety, Guardrails & Governance
• Enterprise Application Integration & AI Orchestration
• High-Scale Vector Database Management
  
  
  

We are seeking an experienced Project Engineer / Senior Project Engineer to lead and manage EPC project packages involving Ultra Pure Water (UPW), Industrial Water, and Wastewater Treatment facilities. The successful candidate will be responsible for project delivery, stakeholder management, financial performance, contract administration, risk management, and coordination of multidisciplinary teams throughout the project lifecycle.

Candidates must possess strong experience delivering Ultra Pure Water (UPW) and Wastewater Treatment projects. Experience in semiconductor, electronics, pharmaceutical, data centre, or high-purity process industries will be highly preferred.

Key Responsibilities

Project Management & Delivery

• Develop, implement, and adapt project execution strategies for complex EPC projects.
• Manage multiple project packages and report directly to the Project Manager.
• Ensure projects are delivered safely, on schedule, within budget, and in accordance with contractual and technical requirements.
• Take ownership of project financial performance, margins, quality, technical compliance, and delivery milestones.
• Prepare, monitor, and manage project budgets, forecasts, cost reports, and resource plans.

Stakeholder & Contract Management

• Manage relationships with clients, consultants, subcontractors, suppliers, and project partners.
• Lead commercial discussions, variation management, claims management, and contract administration activities.
• Coordinate effectively with internal departments including Engineering, Procurement, Construction, Commissioning, and Finance.
• Escalate critical project issues and risks where appropriate.

Leadership & Risk Management

• Lead and coordinate multidisciplinary project teams to achieve project objectives.
• Foster collaboration, accountability, and continuous improvement across project teams.
• Identify, assess, mitigate, and manage project risks and opportunities.
• Ensure compliance with Quality, Health, Safety and Environmental (QHSE) requirements.

Systems, Reporting & Continuous Improvement

• Prepare project reports, management updates, and performance reviews.
• Utilize SAP and other project management systems to manage project execution.
• Ensure compliance with ISO standards, company procedures, and project governance requirements.
• Support implementation of project execution methodologies and lessons learned programs.

Qualifications & Requirements

• Bachelor's Degree in Engineering or a related discipline.
• Minimum 10 years of project management experience within EPC, industrial, utilities, water treatment, or process plant environments.
• Mandatory experience managing Ultra Pure Water (UPW) and Wastewater Treatment projects.
• Proven experience managing large-scale multidisciplinary project packages independently.
• Strong commercial, contractual, and financial management skills.
• Experience managing clients, subcontractors, suppliers, and consultants.
• Familiarity with SAP and project management systems.
• Strong leadership, communication, and stakeholder management abilities.
• PMP Certification will be an advantage.

Preferred Industry Experience

• Semiconductor Manufacturing Facilities
• Electronics Manufacturing Plants
• Pharmaceutical Facilities
• High-Purity Process Facilities
• Data Centres
• Industrial Water and Wastewater Treatment Plants

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

3.Researches the physical design methodology of advanced process nodes, and improvise the automatic physical design platform.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 5 years of work experience in the digital backend design field. Hands-on project experience is required. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivated, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

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

Job Description

• Industry/ Organization Type: Manufacturer for Semi-Con Industry
• Position Title: Sales Application Engineer / Executive – Metal Cutting Tools
• Working Location: Seletar (Islandwide)
• Working Hours: 5 days (Mon-Fri: 8am-5.30pm)
• Salary Package: Basic + VB
• Duration: Permanent

Key Responsibilities

• Understand customer needs and recommend suitable products based on their applications
• Provide technical advice on metal cutting tools such as inserts, end mills, drills, and taps
• Build and maintain strong relationships with customers, including manufacturers and suppliers
• Keep updated on product features, specifications, and applications
• Analyse customer requirements and suggest suitable cutting tool solutions
• Prepare technical proposals and quotations

APPLY NOW!!!

• Minimum Higher Nitec or Diploma in Mechanical Engineering, Manufacturing Engineering, CNC Machining, or related field
• At least 2–3 years of experience in technical sales or engineering, preferably in manufacturing or related industries
• Good understanding of metal cutting tools and their applications
• Knowledge of tool materials and coatings is an advantage
• Strong communication skills with the ability to explain technical concepts clearly
• Good problem-solving skills and ability to provide effective solutions

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 #84231 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

As the founding technical pillar of this 0-to-1 project, you will take complete ownership of the AMR mobile base system—from concept and prototype to large-scale commercial deployment. You will serve as the core technical hub connecting high-level navigation software, low-level hardware chassis, electrical design, sensor integration, and cross-team coordination with our existing drone division. As the product matures and scales, you will naturally transition into building and leading the future robotics team.

 Responsibilities:

●       Full-Lifecycle Ownership: Take complete charge of the AMR mobile base system, driving it from Proof of Concept (POC) and prototype development to large-scale deployment in complex indoor retail warehouse environments.

●       Air-Ground Coordination & Payload Control: Develop and optimize control software to coordinate communication and dispatch between the AMR base and the onboard drone (payload), ensuring accurate command execution and seamless collaboration.

●       Navigation & Sensor Integration: Define requirements for differential or omnidirectional drive systems. Lead the integration and tuning of navigation sensors (LiDAR, depth cameras, IMU) with the ROS2 Navigation Stack (Nav2).

●       Hardware & Electrical Design: Lead the overall hardware integration of the mobile base. Design comprehensive power distribution systems, electrical wiring diagrams, and appropriate safety mechanisms.

●       Production & Vendor Management: Oversee the transition from prototype to commercial mass production. Manage the supply chain for off-the-shelf/open-source chassis and components, qualify vendors, and generate manufacturing and integration documentation.

●       Rigorous Testing & Optimization: Conduct extensive customized development and rigorous stress testing in simulated and real-world warehouse environments to ensure extremely high up time and reliability in demanding commercial applications.

Requirements:

●       Education: Bachelor’s or Master's degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or a related field.

●       Core Experience: Minimum of 5 years of experience in robotics system development, with at least 3 years specifically focused on AMR or AGV development. Proven track record of successfully deploying multiple robotic systems in commercial or industrial settings.

●       Algorithms & Software: Expert proficiency in modern C++, Python, and real-time control systems development. Deep, hands-on expertise with the ROS/ROS2 framework. Extensive practical experience with SLAM, path planning, and localization algorithms for autonomous navigation.

●       Hardware & System Integration: Proven success in mechanical integration, actuators, sensors, and power systems for robotic platforms. Strong hands-on capabilities in robot installation, commissioning, and on-site hardware/software troubleshooting.

●       Cross-Functional Collaboration: Demonstrated track record of successful integration across multiple technology vendors and cross-departmental teams (crucial for aligning with our drone engineering team).

●       Bonus Skills: Experience with OpenCV and industrial vision systems. Strong start-up mindset with a clear desire to grow into a leadership/management role in the future.

As a Senior Linux Engineer / Team Lead, you are responsible to manage, maintain, and optimize our Linux-based infrastructure and associated technologies within our hybrid IT environment. The ideal candidate will be responsible for ensuring the health, performance, and security of servers and systems while collaborating with cross-functional teams to implement and support enterprise-wide solutions.  

What will you do? 

• Install new and/or rebuild Red Hat Enterprise Linux, Red Hat OpenShift, Oracle Linux and related infrastructure components in accordance to customer’s governance & audit requirements. 

• Maintain Standard Operating Procedure (SOP) for recurring tasks, such as OS patching, backup & recovery, OS hardening and/or deviations, together with the customer to ensure the processes are in line and up to date as necessary. 

• Perform daily system checks and monitoring and to highlight if any abnormalities are found, and to participate in troubleshooting and service recovery.  

• Participate infrastructure/OS support with other day 2 project teams, as well as day 1 implementation teams for rollouts and enhancements.  

• Execute infrastructure lifecycle events such as (Add/Modify/Change of users accounts), software updates (OS kernel, agent/client software, etc.) 

• Work with related infrastructure towers (e.g. Storage, Network, etc.) as an integrated service delivery team to fulfil customer’s objectives.  

• Hands-on involvement for monthly and ad-hoc OS patching as necessary for the Linux servers/containers under the service contract. 

• Perform ongoing performance monitoring and recommend improvements, software upgrades, and resource optimization as required.  

• Perform monthly performance reporting and capturing of server health statistics to assist with capacity planning.  

• Assess and Resolve infrastructure related incidents and problems and provide support to application teams.  

• Escalate to principal vendors and/or 3rd party vendors and facilitate their work as required within the customer’s premises & regulations. 

• Rotating standby to work on night or weekend tasks when required. 

• Lead a small team and be a mentor to juniors 

Qualifications  

The ideal candidate should possess: 

• 5 to 7 years of hands-on experience in Linux  

• Experience in Windows Server 2019, Window Powershell (scripting), Network 

• Routing and Switching and Microsoft Active Directory 

• Red Hat Enterprise Linux (RHEL) certification is a plus  

• Bachelor’s degree in Information Technology, Computer Science, or related discipline 

• This position is ideal for those candidates who embrace technical challenges and enjoy working with exciting and emerging technologies. In addition, excellent customer service, communications and professional demeanor is expected. 
  

  JOB-00489
  

  All Successful candidates can expect a verycompetitive remuneration package and a comprehensive range of benefits.

  Kindly email your resume in a detailed Word format to swathi.dhar@peopleprofilers.com

  Only shortlisted candidates will be notified.

  People Profilers Pte Ltd

  20 Cecil Street, #08-09 PLUS Building Singapore 049705

  +65 6950 9747   

  EA Licence Number: 02C4944

  Reg. Number: R1111371

  EA Personnel: Swathi Dhar

Responsibilities:

• Carry out routine maintenance and troubleshooting of chiller systems to ensure reliable operation and optimal efficiency.
• Deliver professional customer support by responding promptly to client queries and issues related to chiller operations and maintenance.
• Diagnose and rectify mechanical, electrical, and control system faults with effective corrective actions.
• Advise and educate clients on proper operating and maintenance practices to extend equipment lifespan.
• Prepare clear and detailed service reports, including work performed, findings, and improvement recommendations.
• Perform commissioning for new chiller installations, ensuring systems are correctly installed and operate according to specifications.
• Coordinate with clients, agents, and contractors to verify system performance and compliance with technical requirements.
• Build strong working relationships with contractors to promote teamwork and effective problem-solving.
• Share technical knowledge with contractors to enhance processes and overall service quality.
• Comply strictly with workplace safety regulations and procedures during all service activities.
• Conduct safety briefings to ensure all parties are aware of and adhere to safety responsibilities.
• Operate in various site environments, including outdoor and plant room settings.
• Perform field-based duties with regular travel to customer locations.
• Provide standby support and respond to chiller breakdowns when assigned.

Qualifications:

• Diploma or higher qualification in Engineering, preferably in Electrical or Mechanical disciplines.
• 3–5 years of hands-on experience in chiller maintenance, commissioning, or related HVAC roles.
• Certified in Building Construction Supervisors Safety Courses or equivalent safety training.
• Strong technical expertise in chiller systems, HVAC fundamentals, and electrical control systems.
• Demonstrated problem-solving ability with strong attention to detail.
• Effective communication and interpersonal skills to work well with clients and internal teams.
• Capable of working independently while managing time and priorities efficiently.
• Consistently meet maintenance schedules and ensure all tasks are completed on time.
• Proven ability to accurately diagnose and repair chiller system faults through systematic assessments.
• Maintain a high level of professionalism and technical competence in all customer engagements.
• Communicate clearly and promptly with customers on service progress, timelines, and updates.
• Provide clear explanations of work performed and practical recommendations for future maintenance.

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

Our vision is to transform how the world uses information to enrich life for all.  
 
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 

As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT. 

Our client is a well-established A1 main contractor known for its strong track record in delivering high-profile mixed-use, commercial, residential, and large-scale building projects across Singapore. With a robust pipeline of upcoming developments, including iconic projects, they are actively seeking to hire multiple Project Engineers/Senior Project/Site Engineers at an exciting phase of their growth.

There are opportunities for both building and infrastructure projects islandwide.

What you will do

• Support the Project Manager in planning, coordinating, and executing on-site project activities.
• Attend site meetings, inspections, and monitoring sessions, providing updates on work progress.
• Work closely with architects, consultants, and stakeholders to ensure adherence to technical drawings and specifications.
• Oversee daily construction operations and ensure compliance with health, safety, and regulatory requirements.
• Coordinate site logistics, including material deliveries and equipment allocation, to maintain efficient workflow.
• Assist in tracking project budgets and monitoring cost-related matters.
• Help resolve site issues or delays by proposing practical corrective actions.
• Supervise subcontractors to ensure productivity, workmanship quality, and compliance with project requirements.

What you will need

• Degree/diploma in Civil Engineering, Construction Management, or related field
• Minimum 3 years of relevant experience as site/project engineer
• Candidate with more experience can be considered for the Senior position

Location: South

Interested candidates kindly forward your CV to yiling.tan@peoplesearch.jobs (Tan Yi Ling, Reg No: R21103172). You may share this opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Key Responsibilities

Site Reliability & Operations

• Manage and improve the reliability, availability, and operational excellence of the SHIP-HATS platform
• Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
• Lead incident management, troubleshooting, root cause analysis, and post-mortem reviews
• Drive continuous improvements to reduce operational toil and prevent recurring incidents
• Perform capacity planning, performance tuning, and system optimisation

Observability & Monitoring

• Design and implement observability solutions across logging, metrics, and distributed tracing
• Build dashboards, alerts, and monitoring strategies to provide deep visibility into platform health
• Manage and maintain monitoring stacks such as Prometheus, Grafana, ELK, or equivalent tools

Infrastructure & Automation

• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform or Ansible
• Automate infrastructure provisioning, deployment, and operational workflows
• Support both cloud and on-premises infrastructure environments
• Contribute to CI/CD pipeline improvements and platform automation initiatives

Collaboration & Engineering Excellence

• Work closely with engineering and product teams to embed reliability and operability practices into the software development lifecycle
• Review system architectures and recommend reliability, scalability, and resilience improvements
• Advocate for DevSecOps, automation, and operational best practices across teams

Requirements

• Degree in Computer Science, Information Technology, Engineering, or related disciplines
• Hands-on experience with Kubernetes and container orchestration platforms
• Experience with CI/CD and DevSecOps tools such as GitLab, Jira, Confluence, Fortify, or similar platforms
• Proficiency in at least one scripting or programming language such as Python, Go, or Bash
• Experience with Infrastructure-as-Code tools such as Terraform or Ansible
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience implementing and managing observability and monitoring solutions such as ELK Stack, Prometheus, or Grafana
• Good understanding of networking, system reliability, security hardening, and operational best practices
• Strong analytical, troubleshooting, and problem-solving skills
• Ability to work effectively in Agile and cross-functional environments
• Good communication and stakeholder management skills

Good to Have

• Experience with GitOps workflows and service mesh technologies such as Istio
• Familiarity with secrets management tools such as HashiCorp Vault
• Exposure to government ICT standards, IM8 policies, or regulated environments
• AI-native mindset and software engineering capabilities
• Experience supporting large-scale enterprise or public sector platforms