Senior Software Engineer, Platform CAM
Atomic Machines
Emeryville, CA · $185k–$220k a year · Posted November 4, 2026
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Where Emeryville, CA ranks
Where Emeryville, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #4Best cities for director and executive jobs in the West Coast27% · of 71
- #7Best all-round cities for new graduates in the West Coast61 / 100 · of 39
- #11Best cities for pay after cost of living in California$172k · of 32
- #13Best cities for pay after cost of living in the West Coast$172k · of 39
- #19Cities with the most hybrid jobs in the West Coast14% · of 66
- #20Best cities for junior jobs in California27% · of 54
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $202,500 a year. Across 615 open senior software engineer listings that state pay, the middle half runs $170,500 to $222,000 and the median is $199,000. That is inside the middle half of those listings, 2% above the median.
Listed pay is what employers advertise, not what people are paid.
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How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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
CAM connects geometric intent with physical processes. You’ll build the software infrastructure that lets process experts express where an operation acts, what effect it should produce, and which constraints it must satisfy.
The challenge is to turn that knowledge into reusable representations, algorithms and interfaces. These must extend beyond familiar etching or 3D-printing workflows to support different ways of shaping, treating and assembling materials. Success means new processes can build on shared geometric capabilities while preserving the assumptions and behavior that make each process distinct.
You’ll bring strong software engineering and deep interest in geometric reasoning, working with experts who bring the physics and process knowledge.
AI fluency is central: use agents throughout development while owning the decisions, code and results you accept.
What You’ll Do
Build and evolve Go and Python software infrastructure for representing geometric intent and generating physical-process operations.
Develop reusable geometric representations and algorithms for shapes, regions, coordinate frames, spatial relationships, and process planning.
Work with process experts to turn their knowledge into explicit models, constraints, interfaces, and acceptance criteria, including effects that vary over space or time.
Extend shared capabilities to new processes; keep process-specific behavior explicit and integrate with machine software and fab coordination.
Test geometric and software correctness, make generated results reproducible, and validate assumptions with experts and physical measurements.
Use AI throughout investigation, design, implementation, testing, and documentation; inspect changes and verify results.
What You’ll Need
Production software ownership, typically 8+ years for the senior target; productive Python and strong in Go or C++, with readiness to work in Go. Level is based on demonstrated scope and ability.
Experience in, or a demonstrated deep interest in, geometric reasoning: representing shapes and spatial relationships, choosing useful abstractions, and reasoning about their limits.
Evidence of designing reusable software infrastructure, simplifying complexity, and testing and safely evolving systems with clear interfaces.
Strong AI fluency: provide context, challenge proposals, inspect code and meaningfully test accepted work.
Ability to work with domain experts, make assumptions explicit, and turn their knowledge into testable software behavior.
Care with units, coordinate frames, tolerances and approximation; willingness to learn unfamiliar physical processes and work directly with fab equipment.
BS in CS or a related field, or equivalent practical experience.
The compensation for this position also includes equity and benefits.
Salary Range $185,000 — $220,000 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 rc@atomicmachines.com . To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.