Top Engineering Jobs in San Francisco, CA

The Senior Hardware Reliability Engineer ensures product reliability through planning, testing, and collaboration across engineering and operations. Responsibilities include leading investigations, analyzing failure data, and designing reliability strategies throughout the product lifecycle.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

Lead design and delivery of HIL automation frameworks and infrastructure to accelerate firmware and software validation. Build simulations, integrate hardware test rigs, partner with Firmware/QE, and apply data/AI tools to optimize developer workflows and test coverage.

As a Staff Software Engineer, you'll lead the technical direction of platform systems, drive innovation, architect large-scale solutions, and enhance Samsara's software products while influencing engineering culture.

As a Staff Software Engineer at Samsara, you will lead and develop a high performing team, champion company culture, and contribute to the development of IoT platform solutions.

As a Senior Software Engineer I for the Mobile Platform at Samsara, you'll lead and develop a team while championing company cultural principles and focusing on customer success.

As a Solutions Integration Engineer, you will lead B2B integrations with Samsara's IoT platform, collaborating with teams to define scopes, develop architecture, and ensure successful customer relationships.

As a Senior Software Engineer, you'll build systems for route planning, dispatch, and real-time tracking for various logistics and operations, improving dispatcher tools and user experiences.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

Build and scale self-serve, customer-facing growth products across the full stack. Partner with product, design, and GTM teams to run data-driven experiments, implement growth initiatives, and deploy production-quality systems. Drive architecture, testing, and performance/security best practices while measuring impact on revenue, retention, and engagement.