2,089,171open jobs
128,284companies
243,520added this week
Browse all
Salary
$185k – $220k per year
Location
In office (Emeryville)
Seniority
Senior · 8+ years exp
Visa
H-1B filings in 12 months: 6 · for this role: 2

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 3, 2026. Atomic Machines scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Atomic Machines is a US startup building the Matter Compiler, an AI-native digital manufacturing system that builds working machines directly from code. Its first targets are micro-machines such as motors and gears the size of a grain of sand. The company is headquartered in Emeryville, California, United States.
Backed by E14 Fund

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 [email protected]. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,089,171 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
Emeryville
In office · Full-Time · Bachelor's Degree · Hyattsville
Python
JavaScript
TypeScript
SQL
C#
Frontend
Vue.js
Angular
React.js
DevOps
Rest API
GCP
Azure DevOps
GitHub Actions
GitLab CI
Azure
CI/CD
Jenkins
Git
AWS
Docker
Kubernetes
Management
Agile
Scrum
Kanban
Apply
$405k – $485k per year · Hybrid · Bachelor's Degree · San Francisco
AI/ML
Claude
Multimodal AI
Function Calling
Anthropic
Structured Outputs
Interpretability
DevOps
GCP
Azure
AWS
Apply
$103k – $150k per year · In office · Full-Time · 6+ years exp · Bachelor's Degree · Burlington
C++
AI/ML
OpenCV
DevOps
HPC
Linux
Robotics
Motion Planning
Apply
Node Developer 1 day ago
In office · Full-Time · 4+ years exp · Dallas
JavaScript
TypeScript
Node JS
Node JS
Strapi
Frontend
Angular
React.js
DevOps
Rest API
Terraform
OpenTofu
Azure
CI/CD
AWS
Kubernetes
Management
Agile
QA
Playwright
Mocha
Vitest
Apply
In office · Full-Time · Atlanta
C#
C#
ASP.NET Core
Databases
RabbitMQ
Apache Kafka
AI/ML
Copilot
Prompt Engineering
DevOps
OpenShift
GitHub Actions
Azure
CI/CD
Docker
Kubernetes
GitHub
Apply
$129k – $194k per year · Hybrid · Full-Time · 8+ years exp · Master's Degree · Sacramento · Emeryville
Apply
$162k – $189k per year · Hybrid · 8+ years exp · Bachelor's Degree · Emeryville
DevOps
GCP
Analytics
Microsoft Excel
Life Sciences
GMP
MedTech
CAPA
Apply
Scientist II 1 day ago
$140k – $155k per year · In office · 9+ years exp · Bachelor's Degree · Emeryville
Life Sciences
qPCR
PCR
ELISA
Cell Culture
Mass Spectrometry
Immunohistochemistry
Molecular Cloning
Apply
$72k – $136k per year · Equity · In office · 5+ years exp · High School Diploma · Emeryville
DevOps
Windows
Apply
$326k – $381k per year · In office · 18+ years exp · Master's Degree · Emeryville
Apply
See all jobs
This is one of many
2,089,171 more open roles from verified company boards, updated every day.