Top Product Engineer Jobs

Lead validation of next-generation DRAM products from design through high-volume manufacturing. Define and validate specifications, perform circuit-level analysis and simulations, develop validation flows, conduct electrical failure analysis, support reliability/qualification, and partner with manufacturing to optimize test yield and volume ramp.

Develop and optimize test strategies for HBM DRAM across probe, burn-in, and ATE. Collaborate with design, fab, and test teams for DFT validation, debug test code, analyze failures, supervise yields, and apply AI-augmented tools to automate tasks and improve yield and test flows.

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

The Backend Product Engineer will enhance the Radar platform, manage API traffic, engage with customers, and work across various backend technologies to drive product success.

Support Program Engineers in troubleshooting fit, function, and appearance; analyze capability reports; assist prototyping, BOM maintenance, data entry to customer systems; perform inspections, create process flow diagrams, participate in 8D/problem-solving and improvement teams, and uphold safety and quality standards.

Moonset Health seeks a versatile software engineer to join a small team, working across frontend, backend, and infrastructure to develop innovative health technology solutions.

Support on-site product development for assigned skincare categories from concept through mass production. Define product specs, lead competitive analysis, drive sales performance, partner with testing and quality, and act as product expert across cross-functional teams to deliver consumer-focused, profitable products.

Lead day-to-day product management for drinkware, owning product specs, consumer research, competitive analysis, and sales performance. Partner cross-functionally with engineering, marketing, testing, and quality to drive product improvements, testing procedures, and rollout. Prioritize roadmap decisions, recommend new opportunities, and act as category expert to maintain a 5-star consumer experience.

Lead and coordinate engineering projects across product design, testing, and manufacturing; act as liaison between manufacturing and customer; manage design changes, schedules, budgets, and continuous improvement initiatives while ensuring safety and compliance.

Engineer and design automotive exterior decorative trim components within Magna Exteriors. Role requires a minimum of five years' experience in trim design/engineering and a Bachelor's degree in Engineering.

Designs and develops automotive exterior glass products and processes from concept through launch. Leads product/process/material development, VA/VE, DFMEA, DVP&R, EBOM, prototyping, and production support. Coordinates with design, manufacturing, suppliers, and customers to resolve complex issues using DOE, DFSS, and 8D tools, and supports gated launches and continuous improvement activities.

Develop and release soft trim concepts, patterns, and assemblies for automotive seats. Ensure manufacturability, create master patterns, support prototype build, troubleshoot with manufacturing, and maintain quality and safety standards (ISO 9001/IATF 16949). Operate fabrication equipment and update digital release data for production.

Lead system-level product engineering for SoC/CPU/GPU silicon from pre-silicon readiness through post-silicon bring-up. Own manufacturability and SLT manufacturing flow, drive yield improvement, characterization, system-level qualification, failure debug, VF margin validation, and cross-functional coordination with design, packaging, validation, test, software, and partners.

Lead cross-functional product engineering for SoC/CPU/GPU manufacturability from pre-silicon readiness through post-silicon bring-up. Own manufacturing flow, ATE/SLT test and correlation, yield improvement, silicon/package reliability qualification, PVTF characterization, and failure analysis while coordinating with foundries, OSATs, design, validation, test, and quality. Support NPI/HVM readiness and audits, with international travel up to 20%.

As a Product Engineer at Marble, you will build full-stack applications to enhance youth mental health access, collaborate on product features, and elevate engineering standards.

The Senior AI Product Engineer will develop AI-powered features, ensuring usability for compliance practitioners and collaborating with cross-functional teams on product delivery.

Embed with clinical and operations teams to identify high-value AI opportunities; build LLM-powered features end-to-end including prompts, orchestration, Python services, evaluation suites, golden datasets, and metrics-driven experiments to measure product impact and prioritize work.

Build full-stack features across backend, frontend, and mobile, leveraging various technologies while ensuring high-quality customer interactions and product scalability.

Build and iterate fast AI prototypes for advisor workflows, integrating models, signals, APIs, and UX. Test feasibility and performance, capture technical learnings, and produce handoff documentation for production teams.

Support MMIC products through wafer probe, packaging, and final RF test; monitor yields and performance via electrical analysis; develop and optimize test methodologies, fixtures, and PCBs; perform lab RF characterization, model validation, failure analysis, and prepare technical documentation for production readiness.

Support MMIC products across post-production and development: monitor test yields and performance (S-parameters, power, gain), perform RF characterization and lab testing, design test fixtures/PCBs, correlate wafer and packaged results, drive yield improvements and root-cause investigations, support failure analysis (SEM, FIB), prototype builds, and prepare technical documentation for production release.

Serve as the on-site product engineering liaison at manufacturing plants to resolve design/process issues, lead root-cause and warranty/scrap investigations, support new design launches and change management, participate in cross-functional reviews, and drive continuous quality improvement. Travel domestically up to 5%.

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.

The Senior AI Product Engineer will develop and optimize AI product features, ensuring a seamless user experience through collaboration with engineering teams. Responsibilities include building full-stack features, implementing user feedback mechanisms, and monitoring product performance.

Prepare and introduce DRAM products across their lifecycle: run simulations, create and maintain design documentation, analyze parametric data, troubleshoot failures, develop and validate device test programs, define lab equipment and tests, liaise with Application Engineers, Process Integration, and Quality Assurance to ensure product reliability and meet customer requirements.