Salary Range: 170000 to 230000 (Currency: USD) (Pay period: per-year-salary)

What You’ll Do:

• Design and build the distributed software system that controls the Matter Compiler. You will develop the Manufacture Execution System (MES) that orchestrates the activities of the system – including production planning, resource management, and data collection.
•  Develop the APIs and data infrastructure that support operation of manufacturing nodes, material transport systems, and the system-level controller. A monolithic central controller (Go, Postgres, gRPC) communicating to a distributed network of physical machines. 
• Run, monitor, and debug software. The code you write is what drives all manufacturing operations at Atomic Machines – and must be reliable, fault tolerant, and well instrumented.
• Work at multiple levels of the software stack. You’ll design and implement a networked API, write a GUI for it, and debug it down to the hardware. You’ll be a go-to software leader at the company – able to guide practices & work productively with experts in other fields (mechanical engineering, AI / modeling / simulation, electrical engineering, & more).

What You’ll Need:

• Multi-language fluency.
• Ability to code fluently in multiple languages, at multiple levels of the stack.
• At Atomic Machines, we primarily use Go, C/C++, and Python. Should have experience with:
• A high-performance systems language like C, C++, or Rust.
• A compiled, garbage-collected language like Go or Java.
• A scripting language like Python or JavaScript.
• Knowledge of Computer Systems
• Understanding of how computers work. Our work involves a variety of processors and computing environments – Linux, FreeRTOS, and bare metal. Strong fundamentals help build system context and enable broad contribution. Undergraduate-level knowledge of:
• Operating systems.
• NetworksConcurrency & execution models.
• Computer architecture.
• Experience with system design
• Experience designing, building, and shipping complex distributed software systems that control hardware, as part of a team.
• Experience with running production software
• Experience with instrumenting software for observability and debugging.
• Experience with version control, Infrastructure-as-Code, and DevOps workflows.
• Bonus points for
• Familiarity with the fundamentals of robotic systems, such as feedback control systems, motion planning, and computer vision.
• Familiarity with CAD and CAM software, focusing on geometry engines, toolpath generation, and machining strategies.
• Familiarity with embedded systems programming, particularly for ARM architectures and real-time operating systems (RTOS)
• Bachelor of Science in Computer Science or a related field. Bonus points for an advanced degree.