Hybrid Jobs in Sunnyvale California, CA

This Staff Software Engineer role within General Motors' Autonomous Vehicle organization focuses on building the simulation ecosystem that validates and advances self-driving technology. The position involves architecting large-scale test infrastructure and evaluation pipelines to ensure the reliability of autonomous software. Key responsibilities include leading cross-functional initiatives to integrate simulation tools into development workflows, inventing novel methodologies to quantify test effectiveness, and defining safety metrics through interactive dashboards. The role offers the appeal of shaping core platforms for next-generation vehicles while working in a culture dedicated to zero crashes and zero emissions. The position supports a hybrid work arrangement, allowing remote work with a requirement to report to the Sunnyvale or Mountain View area three times weekly for eligible candidates.

This senior software engineering role focuses on building the evaluation ecosystem for General Motors' autonomous driving technology. The team acts as system-level integrators, developing metrics and automated workflows to ensure the safety and reliability of Super Cruise and other AV systems. Key responsibilities include architecting analysis algorithms to interpret simulation and on-road data, applying machine learning methods to quantify system performance, and creating interactive dashboards that provide clear insights for engineering and leadership. The position offers the opportunity to shape core evaluation platforms at scale while working with cutting-edge robotics and AI technologies. The role is based in the Bay Area with a hybrid arrangement requiring three days on-site for local candidates, or fully remote for others, within a culture dedicated to achieving zero crashes and zero emissions.

This senior software engineering role within General Motors' Autonomous Vehicle organization focuses on building and advancing the simulation ecosystem for next-generation driver assistance technology. The position involves designing large-scale test infrastructure and evaluation pipelines to validate autonomous driving software, developing core simulation dashboards to deliver actionable insights on system health, and driving scalable quality assessments through automation. The role offers the opportunity to shape critical simulation platforms that accelerate the development of safe, scalable vehicles while collaborating with cross-functional teams on safety-critical methodologies. It is appealing for its chance to work on cutting-edge automation at an unprecedented scale, mentor engineering peers, and leverage AI-assisted tools. The position supports a hybrid work arrangement, allowing remote work with a requirement to report to the Sunnyvale or Mountain View area three times weekly for those within a 50-mile radius.