Top Product Engineer Jobs

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.

Product Engineers will build features across mobile, frontend and backend, focusing on location services and customer feedback.

The role involves validating new DRAM products through characterization, debugging issues, and collaborating with engineering teams to analyze data and document results.

The Staff Product Engineer will set architectural direction for new AI-based developer tools, drive product development, mentor engineers, and ensure reliability and performance of production outcomes.

The Microwave Product Engineer II will support manufacturing test processes, debug failures, generate rework direction, interface with engineering, and improve test methodologies.

As a Product Development Engineer, you'll interface across engineering teams, innovate test strategies, debug code, and focus on HBM device performance.

The Senior AI Product Engineer will develop AI features integrated into products, focusing on user experience, full-stack development, and collaboration with AI engineers, product managers, and design teams.

Support on-site product development from concept to mass production for assigned home environment products. Define specs, lead competitive analysis, drive category sales performance, partner with testing/quality, and act as product expert across cross-functional teams.

The Product Engineer will develop and maintain core software, drive product direction, integrate AI solutions, and work with customer feedback. They will own back-end systems and collaborate with design and engineering teams.

As a Product Engineer, you will develop and maintain Eve's core software, drive product direction, integrate AI solutions, and work collaboratively with clients. You'll own the user experience and constantly iterate based on user feedback in a fast-paced environment.

As a Product Engineer, you'll develop and maintain core software features, drive product direction, collaborate with teams, and integrate AI solutions for legal operations.

As an AI Product Engineer, you will build AI-powered solutions, own projects from idea to production, and integrate AI capabilities into workflows. You will also prototype rapidly and improve customer experiences while working across backend services and data pipelines.

The Product Engineer role involves owning the complete product lifecycle, building features end-to-end across frontend and backend, driving product decisions, and creating scalable systems using modern AI tools. A focus on user experience and speed of delivery is essential.

Own front-end experience for Decision Intelligence products using React and TypeScript. Partner with product, design, and data teams to define vision, build reusable components and design systems, integrate APIs and model outputs, optimize performance, and deliver accessible, production-ready interfaces.

Build and ship production-grade agentic AI developer tools and a coding harness to modernize legacy systems. Design integrations across source control, CI/CD, security scanners, and cloud services. Partner with customers and product teams to iterate on AI-native workflows, ensure cybersecurity compliance, and scale agentic systems for defense missions.

Lead DRAM process node startup, qualification, yield optimization, and ramp. Provide process integration guidance, run electrical failure analysis, prioritize yield issues with cross-functional teams, and apply data-driven methods to improve product performance and manufacturability.

Design and build a high-performance, AI-native web trading experience for sophisticated retail traders. Ship core trading workflows (order entry, positions, blotter, watchlists, alerts), implement trustworthy AI UI patterns, collaborate with backend engineers on low-latency contracts, and iterate quickly with users and stakeholders to deliver end-to-end product features.

The Product Engineer collaborates on automotive DRAM solutions, developing test programs, validating processes, and ensuring product quality and reliability while monitoring yields and documenting results.

As a Frontend Engineer, you will focus on building high-performance UIs using React, work closely with design, and improve browser performance.

Lead the development and architecture of Sage Insight, a data platform, improving user experience through technical leadership and collaboration with product teams.

Lead development and execution of verification & validation procedures for Apptronik robots. Develop test scripts, document results, drive corrective actions, validate performance and reliability, ensure regulatory compliance, build test automation, and coordinate with third-party labs for safety and certification.

Own product strategy and roadmap for developer-facing experiences that integrate Datadog observability, CI/CD, testing, security, and AI into pull requests, code reviews, and developer workflows. Partner with customers, engineering, design, and go-to-market teams to build scalable integrations across GitHub, GitLab, Azure DevOps, and Bitbucket, measure adoption and outcomes, and drive launches and customer adoption.

The Platform Engineer manages third-party integrations, supports the integration lifecycle, enhances operations, and ensures secure data flows while liaising between technical teams and partners.

Design, build, test, and maintain scalable backend services and production-grade applications. Collaborate with product managers and engineers, participate in code reviews, troubleshoot and optimize performance, support system reliability and monitoring, and contribute to architecture and documentation in an agile, mission-driven environment.

Lead NVMe front-end firmware verification for enterprise SSDs: define verification strategy, build scalable Python-based test automation, perform root-cause failure analysis, drive CI/CD and test infrastructure, apply AI/ML for test optimization, mentor engineers, and collaborate with firmware architects to improve testability and quality.