Top Product Engineer Jobs

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.

Leads cross-functional new product development programs from ideation through end-of-life for floorcare products. Manages scope, cost, schedules, risks, resources, stakeholder communication, and go-to-market execution. Uses KPIs and data to support decisions, identifies gaps, drives mitigation plans, and coordinates global and local teams. The role requires strong product development, program management, communication, presentation, and leadership skills in a fast-paced consumer goods environment.

Product Engineer Intern will build and ship full-stack product features using React, TypeScript, and/or Python. Responsibilities include collaborating with AI engineers on agentic capabilities and prompting, improving workflows and user experiences, optimizing performance, designing APIs, testing, and participating throughout the product development lifecycle. The hybrid role is based in San Francisco and includes collaboration with designers, product managers, and experienced engineers.

Own full-stack development of customer-facing AI features using React, TypeScript, Node.js, and Python. Build streaming interfaces, agentic workflows, RAG-powered experiences, feedback loops, observability, and testing. Partner with AI engineers, product managers, and designers to translate LLM capabilities into intuitive compliance products. Mentor engineers and establish reusable patterns for AI feature development.

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.

Leads cross-functional new product development programs from ideation through end-of-life. Owns scope, cost, schedule, risks, resources, stakeholder communication, and delivery timelines for consumer products. Collaborates on go-to-market strategies, uses KPIs and data for decisions, identifies capability gaps, and escalates issues to senior leadership. Ensures products are developed, manufactured, and launched efficiently while meeting quality and sales objectives.

Develops food and CPG products through bench formulation, prototyping, experimentation, trials, sensory and shelf-life support, and rapid iteration. Maintains accurate formulas, specifications, nutritionals, BOMs, labels, and formulation-system data. Runs controlled experiments using DOE and statistical analysis, captures yield and process metrics, communicates progress and risks, and collaborates cross-functionally to advance the R&D pipeline.

Leads the development and enhancement of robotic product platforms from concept through launch. Owns technical roadmaps, product specifications, validation, competitive benchmarking, legacy product improvements, project timelines, and vendor coordination. Collaborates with engineering, software, UX, quality, marketing, and supply chain teams to deliver reliable, intelligent, consumer-focused robots incorporating navigation, perception, AI, connectivity, and embedded technologies.

Develops and launches automotive exterior products and components, supporting product and process development, prototype tooling, builds, validation, and OEM activities. Responsibilities include analyzing design problems, creating specifications, coordinating cross-functional projects, supporting material procurement, maintaining DFMEA and DVP documentation, addressing customer-specific requirements, and providing technical direction to design personnel. Travel may be required for division and OEM launches.

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.

Leads end-to-end product engineering for advanced HPC silicon from pre-silicon readiness through bring-up, qualification, production ramp, and HVM. Owns silicon characterization, performance and power correlation, HSIO validation, manufacturing test, SLT, yield, reliability, failure analysis, and advanced packaging. Partners cross-functionally on productization requirements, risk mitigation, manufacturing readiness, and root-cause resolution. Provides technical leadership, communicates complex issues, establishes product-health metrics, and mentors engineers.

Build and own trusted data products, dimensional models, semantic layers, and dbt transformations that support analytics, experimentation, machine learning, reporting, and decision-making. Partner with cross-functional teams to translate business needs into scalable datasets, improve data quality and governance, establish engineering standards, and drive self-service analytics. Mentor engineers and analysts while leveraging AI tools to improve development, documentation, and quality.

Supports consumer product development from brainstorming through mass production, defining specifications based on consumer needs, market gaps, and technology. Owns category sales performance, analyzes competitors, informs future product opportunities, and communicates legacy product insights. Partners with testing, quality, and cross-functional teams to manage product performance, deliverables, and launches.

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

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.

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.

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.

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.

Leads new product introduction and transition-to-production activities for optical and electronic products. Responsibilities include manufacturing feasibility, AS9145 facilitation, cost modeling, process flow development, capacity analysis, drawing and BOM review, initial build support, production fixture and test equipment validation, and continuous improvement. The role bridges engineering, manufacturing, quality, and supply chain while supporting design reviews and product realization.

Guide new hardware programs from design through production by assessing manufacturability, producibility, affordability, and testability. Facilitate AS9145 activities and transition-to-production processes, develop cost models and process flows, review drawings and BOMs, support initial builds, analyze capacity, evaluate proposals, and assist with fixtures, tooling, and test equipment. Collaborate across Engineering, Manufacturing, Quality, and Supply Chain while driving continuous improvement.

Leads food and OTC product development projects across confections, dietary supplements, and related products. Plans and coordinates technical projects, pilot plant and factory trials, shelf-life testing, consumer testing, specifications, and commercialization activities. Analyzes experimental data, manages risks, ensures regulatory and GMP/HACCP compliance, and influences cross-functional decisions. Supports product optimization, capacity expansion, quality, sustainability, and margin objectives while mentoring colleagues and managing multiple projects.

Performs electrical, physical, and statistical failure analysis for next-generation HBM products from development through production. Identifies defect mechanisms, analyzes component and system data, applies Python, statistical methods, JMP, and AI-enabled tools, and drives root-cause corrective actions. Collaborates with product, process, test, quality, and manufacturing engineering teams to resolve fabrication, assembly, and test issues, support product qualification, improve yield and reliability, and accelerate production ramp.

Develop, debug, and maintain test programs for Micron’s DRAM memory products. The role focuses on validating memory-cell health, high-speed interfaces, and system-level applications while using engineering fundamentals, data analytics, automation, and AI-enabled tools to improve testing, debugging, and decision-making.

Performs electrical, physical, and statistical failure analysis for new High Bandwidth Memory products. Analyzes characterization and manufacturing data to identify root causes of fabrication, assembly, and test failures. Collaborates with Product, Process, Quality, and Test Engineering teams to improve yield, reliability, and performance. Uses AI-enabled tools and statistical methods to analyze large datasets, identify trends, communicate corrective actions, and support product qualification and production ramp.

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.