Top Tech Jobs & Startup Jobs

Lead supply chain readiness for hardware programs from prototype to high-volume manufacturing. Develop purchasing, supplier quality, timelines, and resilience mapping. Build metrics and dashboards, present executive updates, represent GPSC in program meetings, and drive data integrity and automation improvements across cross-functional teams.

The Applied Researcher will explore and optimize Vision-Language-Action models, mentor the engineering team, and implement scalable AI solutions in a hybrid work environment.

The Applied Researcher will explore VLM/VLA architectures, mentor engineers, implement practical solutions, and innovate model designs for Aurora's self-driving technology.

The Applied Researcher will focus on architectural exploration of Vision-Language Models, mentorship, practical implementation, and innovation in model architectures, bridging academic theory with scalable applications.

As a Staff Embedded Linux Engineer, you will lead the design, development, and optimization of embedded systems, collaborating across teams and managing Board Support Packages.

The Applied Researcher will explore and optimize Vision-Language-Action models, mentor engineers, and implement scalable applications in high-performance computing environments.

Lead Signal Integrity and Power Integrity implementation in autonomous driving systems, develop simulation methods, and validate high-speed interfaces in the lab.

Manage lidar hardware program schedules, scope, and budgets; translate engineering requirements into actionable tasks; coordinate cross-functional teams across the Systems Engineering V-Model; maintain dashboards and artifact tracking (dFMEAs, HSI, design packages); drive gate readiness and continuous process improvements to accelerate hardware development.

Lead cross-functional execution for electrical distribution systems and vehicle integration programs. Drive first-article harness builds, supplier coordination, change control, risk assessments, and process improvements across engineering, supply chain, manufacturing, and quality to ensure on-time delivery and safety case closure.

Lead corporate insurance program lifecycle, develop and validate quantitative risk models, perform enterprise risk assessments, manage high-exposure claims, ensure compliance, collaborate with executives, and integrate AI tools to automate reporting and predictive cost modeling.