Senior/Staff Software Engineer, Robotic Manufacturing Systems

Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler  (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber’s first Chief Product Officer — the company has raised $250 million to date.

Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara.

Why This Role Matters

FABOS is the Matter Compiler’s control plane. It maintains a trustworthy view of materials and equipment, plans production, and coordinates execution across the fab. It connects planned work to physical results so people and autonomous systems can understand what happened, what remains uncertain, and what can happen next.

You’ll build the dependable execution software that makes this general-purpose platform work as its capabilities and combinations grow. Our team already has deep expertise in data engineering and algorithms. We need a hands-on software engineer with deep architectural experience and systems thinking to turn that expertise into simple, dependable software.

Your primary responsibility is managing complexity: defining clear responsibilities and interfaces, limiting coupling, and making the system easier to understand, test, operate, and change. Fluency in data and optimization, paired with a willingness to work with hardware, supports that responsibility. The architecture is still taking shape, and you’ll help establish the foundations for scaling to more machines, processes, and devices.

What You’ll Do

• Collaboratively define component responsibilities, state ownership, and interfaces; remove or simplify unnecessary complexity.
• Build and test production software in Go and Python
• Establish and maintain core software interfaces with data engineering and AI systems
• Evolve existing systems through safe, incremental migrations.
• Resolve integration issues with operators and engineers, including hands-on work with fab equipment.
• Work with cross functional teams to develop requirements and acceptance criteria

What You’ll Need

• 8+ years building production software; productive in Go and Python.
• Demonstrated meaningful ownership of architectural decisions in a complex production system. 
• Demonstrate first-principles thinking with sound instincts for strategic tradeoffs.
• Closed-loop experience: Operated or evolved the system long enough to observe the consequences of those decisions, explain what worked and failed, and improve the architecture.
• Experience testing, operating, and safely migrating systems where correctness matters.
• Translate expert knowledge and user needs into software requirements and acceptance criteria.
• Discuss data models, transactions, and durable history with data engineers; objectives, constraints, inputs, and outputs with optimization experts.
• Demonstrated interaction with equipment. Have had to understand and troubleshoot physical workflows. 
• Has willingness to work directly with fab equipment
• BS in CS or related field

The compensation for this position also includes equity and benefits.

Salary Range

$170,000—$230,000 USD

Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact [email protected]. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.