Top Tech Jobs & Startup Jobs in San Francisco, CA

As a Staff Machine Learning Engineer on the Behaviors Team, you will develop ML models for self-driving cars, including trajectory generation and optimization based on urban environments. The role involves research, prototyping new algorithms, optimizing model performance, and providing technical leadership while collaborating across teams to enhance vehicle behavior capabilities.

The role involves enhancing developer productivity through identifying pain points, proposing and implementing solutions, evaluating new tools, and shipping improvements to the development toolchain. It also includes driving best practices, mentoring engineers, and influencing the team's technical roadmap.

The Senior Program Manager II will lead the Operational Resilience Program at Cruise, designing and facilitating incident response exercises and crisis simulations, ensuring operational readiness, and collaborating with senior leadership to enhance organizational efficiency and preparedness.

As a Senior ML Software Engineer II at Cruise, you'll focus on the perception software stack for self-driving cars, handling tasks like optimizing ML systems, integrating technologies for autonomous development, leading ML project deliveries, ensuring code quality, and enhancing R&D productivity through improved workflows.

The Staff Software Engineer in Core Network Systems will design, develop, and maintain software applications to automate network operations and optimize performance. This role involves working with cloud systems and DevOps principles to enhance network reliability and scalability while collaborating with cross-functional teams.

The Communications Manager II will lead internal communications efforts, support C-suite executives, and develop programs for employee engagement. Responsibilities include crafting communications, collaborating with teams, and promoting a diverse and inclusive culture.

As a Senior Full-Stack Engineer on the Machine Learning Platform team at Cruise, you will design and implement web-based tools and data visualization applications that enhance machine learning model evaluation. You will work collaboratively with product managers, designers, and machine learning engineers to build automation insights, drive best practices, and improve existing systems.