Systems Engineer in Singapore

Smart Systems Engineer — MSB, Singapore. Apply via Workday.

Smart Systems Engineer — MSB, Singapore. Apply via Workday.

About the Team The Consumer Products team at OpenAI builds the hardware that brings advanced AI technology directly into people’s hands. We design, engineer, and manufacture next-generation consumer devices that combine elegant design, robust engineering, and cutting-edge AI. Our team spans mechanical, electrical, and systems engineering — partnering closely with industrial design, operations, and software to create seamless, high-quality experiences that make AI more accessible and useful. About the Role As a Hardware Engineer on the Consumer Products team, you’ll contribute to the design, development, and integration of complex hardware systems for new AI-driven devices. You’ll work across disciplines to translate early product concepts into reliable, scalable, and beautifully crafted products ready for mass production. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to manufacturing partners may be required. In this role, you will: Design, prototype, and validate mechanical and electrical subsystems from early development through mass production. Collaborate closely with design, operations, and manufacturing teams to ensure quality, reliability, and scalability. Drive DFM/DFA reviews, design iterations, and bring-up of prototype and pilot builds. Debug complex system-level issues and lead root-cause investigations and resolutions. Partner with global suppliers and cross-functional teams to ensure flawless execution from concept to launch. You might thrive in this role if you: Have 6+ years of experience in consumer hardware, consumer electronics, or advanced product development. Bring deep technical fluency in mechanical, electrical, or systems engineering (cross-disciplinary experience a plus). Have taken at least one consumer product from concept to mass production. Are energized by hands-on problem solving, iteration, and building in fast-paced enviro

Process Control Engineer (Systems) — MSB, Singapore. Apply via Workday.

Process Control Engineer (Systems) — MSB, Singapore. Apply via Workday.

Process Control Senior Engineer/Engineer (Systems) — MSB, Singapore. Apply via Workday.

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using P

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and de

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. In This Role, You Will: Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. Develop and manage test coverage for: ICT / structural test FCT / board-level functional test Tray-level functional and integration test System-level manufacturing and bring-up test Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. Translate engineering requirements into practical, scalable manufacturing test plans that

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions Provide hands-on product manufacturing analysis during desi

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Office at Tai Seng Exchange Tower B Near Tai Seng MRT, Singapore Insurance Coverage Entitled to Yearly Bonus & Performance Bonus Responsibilities (Site Reliability Engineer - Senior / Lead ) High Availability and Stability Maintenance of Application Systems: Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization. Compliance and Secure Access Construction for Application Systems: Ensure operational design, processes, and data management comply with relevant privacy and data protection laws. Ensure compliance with full auditing and regulatory checks and provide auditing materials as required. Change and Release Management: Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows. Automation and Infrastructure Optimization: Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability. Other Operational Practices and Work Arrangements: Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation. Qualifications Bachelor's Degree or above; a degree in computer science or a related field is preferred. Experiences as Senior SRE or

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: Software Engineer | Java Developer 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements Bachelor's or Master's Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 1 year experience of software development experience (Java Programming) is preferable for this post Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms) Programming Languages: Spring Core, Spring Boot, Spring Security Cloud Platforms: AWS and Azure Frameworks: Common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies. Job Responsibilities ( Software Developer / Java Backend Engineer) Design & Development Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code. Technical Innovation & Problem-Solving Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios. System Architecture Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance. Full-Lifecycle Part

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Software Engineer, Data Layer As a Software Engineer on the Data Layer team within the Platform group, you'll shape the API (GraphQL) platform that connects every client application to Coinbase's backend services, handling the majority of user traffic across Consumer, Base, and Institutional products. You'll own the critical systems that route and serve API requests at scale, improving reliability, performance, and developer experience for hundreds of engineers building on this foundation layer. What you'll do: Own and deliver projects end to end, from scoping and system design through implementation, rollout, and production validation, driving measurable progress on the team's highest-priority initiatives. Design and build high-reliability, low-latency systems serving millions of users, tackling challenges like caching, upstream service optimization, and efficient connection management at scale. Build and improve the API framework and tooling that hundreds of engineers depend on, making it fast and easy for teams across the company to build, test, and ship independently. Drive operational excellence across T0 services: own SLOs, improve observability, lead incident response, and reduce operational toil so the team can invest in high-leverage work. Partner cross-functionally with product engineering teams to design API schemas, support service launches, and ens

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Growth team is on a mission to acquire, convert, and grow millions of merchants globally across the full Stripe suite of financial products. We're a cross-functional team of engineers, scientists, marketers, designers, and product managers that deliver the insights, algorithms, internal systems and tools, and user-facing experiences that fuel our growth. We help businesses around the world find Stripe, get started, and grow. As part of the Growth Engineering team, you'll build the systems, products, internal tools, and customer-facing experiences that power intelligence behind our go-to-market and product-led growth. This includes building ML-powered recommendations and growth experimentation engines, multi-channel notification systems, and key growth-related customer experiences (e.g., onboarding flows, user dashboards, product recommendations). What you'll do As a full-stack engineer on the Growth team, you'll build and ship experiments and product improvements across stripe.com and the Dashboard to help businesses find and get started on Stripe. You'll work on critical parts of the funnel for self-serve users, ensuring their experience on Stripe is consistently high-quality. With other engineers and data scientists, you'll turn ML-powered recommendations, messaging, and experimentation into impact that moves company metrics. Responsibilities Build and maintain scalable systems and customer experiences that help businesses discover, on

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for an Applied AI Engineer, Cyber to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow