Top Product Engineer Jobs

As a Senior Product Engineer, you will develop reliable backend systems, manage complex databases, and contribute to building revenue-critical infrastructure. You'll work closely with a lean team, guiding projects from ideation to implementation.

Responsible for validation and characterization of high-speed ADC/DAC products, improving lab automation, and leading qualification efforts across multiple product lines.

The role involves building high-quality web apps, focusing on AI-powered workflows, human-in-the-loop systems, and customer needs with attention to detail.

The Sr. Associate Product Developer collaborates with teams to manage garment production, ensuring quality, cost efficiency, and timely delivery through effective communication and organization.

The Associate Product Developer role involves assisting in the garment production process, coordinating with manufacturers, maintaining product data, and supporting product development tasks, all while gaining hands-on experience in the fashion industry.

Support product development from concept through production by coordinating with manufacturers, maintaining product data, and assisting in approvals and market research.

The Associate Product Developer aids in fashion product development, coordinating with manufacturers, maintaining data accuracy, and supporting design initiatives while gaining hands-on experience.

The Product Developer role involves supporting the product lifecycle from concept to production, ensuring quality and aesthetic goals are met while communicating with vendors and cross-functional teams.

The Electrical Test and Product Engineer will develop test programs, support production, troubleshoot issues, and analyze yield data for semiconductor products. They will collaborate with various teams to ensure product reliability and quality.

Lead technical ownership and NPI for MOSFET products: define/develop devices, coordinate characterization/qualification, improve yield/quality via statistical analysis, support offshore transfers, create datasheets, and drive cost-reduction and cross-regional engineering efforts.

As a Product Engineer, you will architect and implement features, optimize performance, integrate AI, and collaborate with teams to enhance customer solutions.

The Senior Product Engineer will design and build AI-driven, full-stack financial workflows, oversee architecture, and mentor engineers while ensuring high-quality, reliable systems.

Design and develop user-friendly interfaces for blockchain data querying, focusing on enhancing user experience while maintaining efficient data workflows.

Own and ship Commerce frontend features end-to-end: build typed React/Next.js UIs, consume APIs, ensure accessibility and observability, handle billing/payment edge cases, and iterate on product UX with product, design, and backend partners.

The Product Engineer will support new product/process development for printed circuit boards, collaborate with engineers, and prepare engineering documentation.

The Product Engineer at FinQuery drives product strategy, translates financial standards into software, and develops production-grade code, enhancing product features and user experience.

Build zero-to-one AI-native product experiences: prototype, validate with users, and productionize AI agents and workflows. Partner with product, design, research, and engineering to define, evaluate, monitor, and improve ML-driven user-facing systems.

Ensure quality, reliability, and manufacturability of silicon products across the product lifecycle by developing test strategies, performing failure analysis and circuit characterization, designing and validating test equipment and automation, collaborating with design and manufacturing teams, defining quality/reliability standards, creating FMEA/control plans, and supporting technology transfer and manufacturing ramp-up to improve yield and performance.

Drive test strategy, failure analysis, and qualification for silicon products. Develop and validate test methods, automation, and equipment; perform circuit characterization and statistical analysis; collaborate with design and manufacturing to improve yield, reliability, and manufacturability; support tech transfer and ramp-up activities.

Drive test and qualification strategies for silicon products, perform failure analysis and circuit characterization, develop automated test solutions, collaborate with design and manufacturing to optimize yield and reliability, and maintain quality and risk documentation through product ramp-up.

The Engineering Manager will lead the cloud platform team to enhance reliability and scalability, oversee a team of engineers, and improve the platform's operational performance, focusing on observability, intelligence, and orchestration capabilities.

Manage technical footwear products from design through production readiness. Collaborate with design, materials, engineering and manufacturing to develop new uppers and bottoms, maintain BOMs and specs, ensure cost and manufacturing targets, partner with suppliers, and drive process improvements while meeting timelines and performance goals.

Build and ship end-to-end product features across the stack, partnering with product, design, backend, and ML teams. Own product problems from discovery through measurement and iteration, including AI-powered workflows, context retrieval, integrations, and desktop experiences. The role values strong engineering fundamentals, rapid learning, ownership, comfort with ambiguity, collaboration, and a bias toward shipping quality products.

Analyzes and optimizes SiFive IP power consumption across architecture, logic, circuit, RTL, and silicon levels. The role develops power models, correlates them with RTL and silicon results, guides performance-power tradeoffs for high-performance out-of-order CPUs, and improves power analysis workflows. Candidates need advanced computer architecture education, 5+ years of power benchmarking and ASIC optimization experience, and strong problem-solving skills.

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.