Top Product Engineer Jobs

Develop and maintain data integration, transformation, modeling, and database processes across Azure SQL Database and Azure Cosmos DB. Diagnose data issues, optimize data structures, support CI/CD and production operations, and establish data standards and documentation. Collaborate with business and technical stakeholders to define requirements, service levels, and quality expectations within an Agile development environment.

Build and operate scalable security tooling, applications, APIs, and automation for CrowdStrike’s global multi-cloud Product Security environment. Responsibilities include software supply chain security, AI-powered vulnerability discovery, platform visibility, risk assessments, CI/CD, SRE operations, datastore management, monitoring, and incident response support. The role partners across Product Security to define tooling strategy and maintain mission-critical security services.

Monitor emerging vulnerabilities, assess exploitability and business risk, prioritize remediation, and develop vulnerability intelligence frameworks. Implement asset detection and monitoring across cloud and data-center environments, maintain vulnerability management KPIs, communicate security posture to technical and executive stakeholders, use CrowdStrike Falcon capabilities, and build security tooling. The role requires scripting, threat intelligence research, cloud and Linux experience, cross-functional collaboration, and AI-enabled workflow improvements.

Hands-on technical leadership role building and shipping AI-powered product features end-to-end. Own architecture, full-stack implementation, deployment, observability, and mentoring; balance rapid prototyping with durable engineering and guide technical direction.

Lead and build AI-powered product features end-to-end, balancing fast delivery with durable architecture. Own full-stack design, deployment, observability, and security; mentor engineers and set technical direction for product teams.

Build and launch full-stack product experiences for Nunchux Modelverse, including the model catalog, Playground, dashboard, API, SDK, documentation, frontend, backend, database, and deployment. Use product data and developer feedback to improve onboarding and generative AI workflows, instrument key user flows, debug developer issues, and rapidly prototype new tools. Collaborate closely with founders, designers, and customer-facing teams to ship reliable releases and technical content.

Participates in TI’s Career Accelerator Program while developing expertise in product, test, or validation engineering. Responsibilities include supporting semiconductor product development, testing, qualification, debugging, cost reduction, yield enhancement, customer quality resolution, and cross-functional problem solving. The role involves hardware and software development, automated test equipment, bench characterization, data analysis, manufacturing support, and collaboration with fabrication and assembly sites.

Build Conductor, a Mac-based product for orchestrating coding agents, alongside the co-founders. The role involves generating ideas, talking with users, designing, prototyping, and building polished software. Candidates should be scrappy, technically strong, comfortable moving quickly, and ideally have startup experience. Experience with TypeScript, Tauri, React, AI, or ML is not required; strong software engineering ability and enthusiasm for AI tools are more important.

Build and ship end-to-end product features across frontend, backend, and agent-driven workflows; design scalable architectures; improve developer velocity, tooling, and product quality; apply AI-native engineering practices; collaborate on core product experience and execute high-leverage work with strong ownership.

Develops and executes enterprise SSD firmware validation across development, qualification, and sustaining phases. Designs tests for firmware features, NVMe protocols, security capabilities, and system behaviors; analyzes regressions, customer issues, and field-return failures to identify root causes. Builds Python automation, regression frameworks, and coverage reporting while collaborating with firmware engineers, data scientists, and global teams on debugging, design reviews, and AI-enabled testing improvements.

The Product Engineer leads technical and manufacturing activities throughout the production life cycle. Responsibilities include design-for-manufacturability evaluations, manufacturing documentation, tooling and fixture development, manufacturing cell layouts, PFMEA, process failure resolution, lean improvements, standard work, production milestone tracking, and coordination with production, quality, and engineering teams. The role supports aerospace products and requires engineering knowledge of mechanical assemblies, CAD, GD&T, tooling, manufacturing processes, and ERP/MRP systems.

The Product Engineer leads products through the production lifecycle, evaluating designs for manufacturability, developing manufacturing documentation, solving process issues, and implementing corrective actions. Responsibilities include tooling and fixture design, automated test fixture development, manufacturing cell layout, PFMEA, Lean improvements, technical risk assessment, customer liaison work, and tracking production milestones. The role interfaces with production, quality, and engineering teams while supporting aerospace and defense manufacturing programs.

Develops and sustains cybersecurity requirements, secure architectures, risk assessments, security controls, and cyber-resiliency solutions for embedded avionics systems across their lifecycle. Coordinates with systems, software, hardware, and product-security teams; performs threat and adversity analysis; supports certification and customer artifacts; leads security processes, risk-reduction activities, planning, and cross-functional collaboration. The role is fully onsite in Missouri, requires up to 10% travel, and requires obtaining and maintaining an active U.S. Secret clearance.

Design, build, test, deploy, and operate cloud-native full‑stack products. Own frontend (React/Next.js), backend (C#/.NET or Java), APIs, and databases. Implement CI/CD, automated testing, observability, and SRE/DevOps practices. Collaborate with Product and Design, integrate AI/LLM features where appropriate, and drive technical quality and continuous improvement.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

Design, build, and maintain scalable full-stack applications; collaborate with cross-functional teams; integrate AI and agentic systems to enhance product features; ensure performance, fix bugs, and resolve bottlenecks.

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.

The role involves designing, verifying, and optimizing DRAM circuits, collaborating cross-functionally, and leading technology development and product ramp efforts.

Own uptime for NPI and development humanoid robots: triage, diagnose, repair ambiguous electromechanical failures; document root causes and repair data; feed actionable insights into engineering; participate in Design for Serviceability, validate service procedures, and ensure tooling, spares, and training readiness for field deployment.

Provides second-line support for complex security and networking issues, including troubleshooting, testing, reproducing, and resolving customer problems. Partners with Engineering and Operations, documents incidents, manages enterprise escalations, develops training, mentors engineers, and contributes customer-driven product and code improvements. Requires expertise in web security, network infrastructure, packet captures, and HAR traces, along with 5+ years of relevant troubleshooting experience.

Own systems engineering and product ownership for flight operations software supporting spacecraft commanding, telemetry, ground systems, and mission operations. Define architectures, MBSE models, APIs, requirements, user stories, and acceptance criteria; prioritize the development backlog; drive technical trades; and support implementation, integration, verification, deployment, and operations. Coordinate spacecraft, ground, flight software, mission operations, and engineering stakeholders while identifying integration risks and contributing to enterprise architecture and long-term mission systems roadmaps.

Develop, debug, and maintain semiconductor memory product test programs from new product introduction through high-volume manufacturing. Write C++ and Python test software, analyze device and test-flow data, optimize test coverage, yield, quality, and test time, and collaborate with design, manufacturing, yield, quality, systems, and equipment engineering teams. The role also contributes to design-for-test capabilities and AI-supported workflow automation.

Develop, debug, and maintain C++ and Python test programs for Micron DRAM products from new product introduction through high-volume manufacturing. Analyze device and test-flow data, optimize test coverage, yield, quality, and test time, and contribute to design-for-test capabilities. Collaborate with design, product engineering, manufacturing, yield, quality, systems integration, and equipment engineering teams to deliver production test solutions.

Own the vision, strategy, and roadmap for internal developer experience platforms, including CI/CD, developer portals, delivery tooling, and golden paths. Conduct discovery with engineering teams, define requirements and success metrics, prioritize backlogs, and coordinate cross-functional delivery. Drive adoption through documentation and enablement, measure productivity outcomes, and champion a platform-as-a-product approach using self-service, opinionated defaults, and strong API and UX contracts.

Build and scale backend systems and APIs for loan servicing features (onboarding, collections, compliance). Work in agile product pods to ship and iterate on product features using customer feedback. Collaborate with engineering, product, and operations, and write high-quality Python code meeting regulated enterprise standards.