About the position
As a Software Engineer, Reliability and Integration, you’ll start by owning the uptime and reliability of our prototyping and development fleet of hardware, electronics, and software that drive the Matter Compiler. You’ll develop safe release processes and company-wide visibility on the operational status of the units in the fleet, increasing the development velocity for all our power electronic device, materials process, and embedded systems engineers. You’ll rationalize our hardware configuration management process and act as the first line of defense for early diagnosis and triage of unexpected machine behavior. Standing up hardware-in-the-loop processes and building the playbooks for scaled operation is second nature to you. You can diagnose an issue with a tool ring or an electrical board and then perform basic repairs on your own. You’ll be joining a fast-paced, interdisciplinary environment with close collaboration across teams — including modeling and simulation, materials science, process development, and mechanical engineering — as we bring truly novel technology to life. This role is based in Emeryville (preferred) or Santa Clara and is well-suited to an engineer with strong fundamentals, curiosity, and the fire to grow into systems-level thinking.
Responsibilities
- Operate and debug software and firmware for complex robotics with hard real-time constraints.
- Work at multiple levels of the Matter Compiler, including software, hardware, and electronics.
Requirements
- 3 + years of industry experience with precision hardware, scientific instruments, or similar.
- Bachelor of Science in a technical field with heavy exposure to machine control.
- Familiarity with C++ and Python programming and debugging.
- Familiarity with how motors and robots work at several length and time-scales.
- Experience designing, building, and shipping complex processes in a hardware-aware environment.
Nice-to-haves
- Experience debugging APIs and infrastructure that support the operation of manufacturing nodes, material transport systems, and the system-level controller.
- Experience with instrumenting software for observability and debugging.
- Experience with version control, Infrastructure-as-Code, and DevOps workflows.
- Familiarity with the fundamentals of robotic systems, such as feedback control systems, motion planning, and computer vision.
- Experience identifying needs, then proposing and standing up processes and communication forums that span organizational divisions.
- Strong bias to metrology and observability over tribal knowledge.
Benefits
- Equity
- Benefits
