Top Engineering Jobs

Lead development, optimization, and scale-up of optical manufacturing processes. Manage a team of engineers to improve yield, throughput, and quality; drive process transfer, validation, SPC/DOE/FMEA activities, CAPA, equipment qualification, and NPI. Coordinate cross-functional work with R&D, quality, supply chain, and vendors to enable high-volume photonics production.

Lead the development and commercialization of next-generation hydrogen-based energy systems, guiding technology from concept to deployment while overseeing project engineering and compliance.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

Lead Forward Deployed Engineering to scale customer implementations of Accrete's AI platform from discovery to production. Build operating models, delivery standards, staffing plans, and playbooks; manage and mentor teams; partner with Product, Engineering, Research, and customers to ensure secure, reliable, and scalable deployments with measurable impact.

Lead Duolingo's New Subjects engineering pillar (Math, Music, Chess). Co-lead product and technical strategy, manage multiple directors and 100+ engineers, drive AI/LLM-powered features and Unity-based gameplay, ensure reliability and developer productivity, hire and develop leadership, and partner with Product, Design, Learning, and AI to deliver high-impact, experiment-driven products.

Lead and mentor a software engineering team, oversee product development, promote collaboration, and ensure competitive and innovative solutions.

Lead and develop a manufacturing engineering team for forging operations, oversee process development, tooling and equipment sourcing, enforce quality and launch timelines, manage CapEx, troubleshoot production issues, and implement continuous improvements to optimize yield, runtime, safety, and cost.

The Director, Head of Compute Engineering oversees the global compute infrastructure, guiding technology strategy, leading teams, and ensuring operational excellence. Responsibilities include managing compute solutions, driving innovation, and collaborating with cross-functional teams.

The Principal Engineer will lead AI-driven productivity initiatives, develop a strategy for integrating AI in engineering workflows, and improve collaboration across teams. Responsibilities include executing projects, ensuring code quality, and setting success metrics.

Lead mechanical engineering team in developing semiconductor hardware solutions, ensuring product quality and supporting manufacturing processes while managing team development and project timelines.

Lead cross-functional teams to resolve quality issues using 8D and CAPA, manage escalations, maintain quality dashboards and non-conformance tracking, support customer audits/scorecards, perform defect trend analysis, support NPI readiness (FMEAs, control plans), and drive continuous improvement and customer-facing quality initiatives for semiconductor-related products.

Lead component and product integration for the F414 turbofan CIP program: manage requirements, interfaces, configuration control, V&V and system-level testing; own CIP execution, cost/schedule reporting, KPIs, and customer reporting; lead cross-team problem solving and program control standardization with US Government customers.

Lead the multimodal API product suite by managing teams for innovative APIs, guiding technical decisions, and fostering a culture of accountability.

The role involves leading the architecture and development of identity infrastructure, enhancing security, reliability, and operational maturity across cloud platforms and internal systems.

Lead a team developing software systems to detect and prevent misuse of frontier AI models, ensuring production reliability and security.

Lead system-level strategy and customer engagement for power switching and circuit protection products. Translate application requirements into scalable architectures, validate applications through testing, influence product roadmaps, and enable Sales/FAEs with technical content and training. Drive cross-functional alignment and thought leadership across data centers, aerospace, industrial automation, and energy infrastructure.

Lead and grow an engineering team building investigation, review, and enforcement tooling and platform capabilities. Define roadmap for analytics, privacy-preserving data primitives, sandboxes, and automation that integrates Claude/LLMs into human-in-the-loop review workflows. Partner with policy, operations, legal, privacy, and data science to translate enforcement needs into reliable, privacy-compatible systems and hire and coach top technical talent.

The Senior Director of Robotics Hardware will lead a team in developing digital manufacturing nodes, ensuring hardware architecture aligns with strategic objectives, and establishing efficient manufacturing processes and engineering excellence standards.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

Support the installation and maintenance of Multi-Mission Data Link System on U.S. Navy ships, ensuring compliance with technical standards.

Lead a new platform engineering team to operationalize in-house and AI-enabled solutions. Establish standards, CI/CD, testing, deployment, and production-readiness gates. Partner with Broadcast Engineering and InfoSec to evaluate, secure, and scale LLM and GPU-based workflows. Mentor engineers, run agile delivery, and support shared compute and model governance to move concepts from POC into production.

10-week (minimum) software engineering internship in Greater Seattle, working on health-data and predictive AI projects. Interns write code using languages like Java, Python, .NET or C#, collaborate with engineering teams, manage time effectively, and present work. Hybrid role requiring several days per week onsite.

Lead a multi-team product engineering area, managing engineering managers and owning architecture, technical roadmap, SLAs, and incident response. Coach and develop EMs, set engineering practices and quality, partner with PM/Design and cross-functional teams, and formalize interfaces with Platform while driving AI-native and LLM tool adoption.

Lead the design and implementation of secure, scalable data processing platforms, focusing on ETL frameworks, event-driven systems, and high-performance microservices.

Lead architecture, design, development, delivery and Level-3 support for trade management services across global Markets Operations. Manage and mentor a team of software engineers, drive transformation from a legacy securities-processing stack to a modern high-volume, low-latency platform, align stakeholders, ensure regulatory compliance, and provide technical leadership to scale systems across NAM, EMEA and APAC. AI adoption experience is a plus.