What are the responsibilities and job description for the Software Engineer, Data & ML position at Atomic Semi?
About Atomic Semi
Atomic Semi is building a small, fast semiconductor fab.
It’s already possible to build this with today’s technology and a few simplifications. We’ll build the tools ourselves so we can quickly iterate and improve.
We’re building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We’ll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology.
Smaller is better. Faster is better. Building it ourselves is better.
We believe our team and lab can build anything. We’ve set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we’ll just invent along the way.
Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years.
About The Team
The Fab Software team builds the product that runs our entire fab—a central web app used to manufacture chips. Our users are internal process engineers. We build tools for managing hardware, monitoring and controlling systems in real time, designing processes, and analyzing experimental data. The work on this team spans frontend, backend, and data, all focused on making the fab programmable, observable, and easy to operate as we push toward a fully software-defined chip manufacturing process driven by AI and ML orchestration.
About The Role
We are looking for a senior Data & ML Engineer to build the intelligence layer of our manufacturing process. You will turn raw, messy fab data - telemetry, experiment results, and log - into actionable insights that directly improve our yield, reliability, and throughput. You will know you are successful when process engineers are using the systems and models you’ve productionized to seamlessly identify bottlenecks and optimize the fab in real time.
About The Industry
We’re an early-stage hardware startup with solid funding, world-class advisors, and a lab/office in San Francisco, CA.
Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $125,000 – $195,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi.
Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements:
Export Control Analysis: This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.
Compensation Range: $125K - $195K
Atomic Semi is building a small, fast semiconductor fab.
It’s already possible to build this with today’s technology and a few simplifications. We’ll build the tools ourselves so we can quickly iterate and improve.
We’re building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We’ll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology.
Smaller is better. Faster is better. Building it ourselves is better.
We believe our team and lab can build anything. We’ve set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we’ll just invent along the way.
Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years.
About The Team
The Fab Software team builds the product that runs our entire fab—a central web app used to manufacture chips. Our users are internal process engineers. We build tools for managing hardware, monitoring and controlling systems in real time, designing processes, and analyzing experimental data. The work on this team spans frontend, backend, and data, all focused on making the fab programmable, observable, and easy to operate as we push toward a fully software-defined chip manufacturing process driven by AI and ML orchestration.
About The Role
We are looking for a senior Data & ML Engineer to build the intelligence layer of our manufacturing process. You will turn raw, messy fab data - telemetry, experiment results, and log - into actionable insights that directly improve our yield, reliability, and throughput. You will know you are successful when process engineers are using the systems and models you’ve productionized to seamlessly identify bottlenecks and optimize the fab in real time.
About The Industry
- Veritasium video about lithography
- Asianometry video about semiconductor fabs
- Asianometry video about semiconductor yield
- History of TSMC
- Sam's presentation about his home chip fab
- Conversation about how the semiconductor industry works
- Lex Fridman's conversation with Jensen Huang
- Video about CPU Manufacturing
- Lead the design and development of systems to ingest, process, and analyze complex fab data, bridging the gap between hardware telemetry and software control.
- Build and productionize applied ML models and simulations to understand manufacturing bottlenecks and optimize the fab's physical throughput.
- Develop robust tools for statistical process control (SPC) and real-time process monitoring, breaking down complex manufacturing challenges into actionable data pipelines.
- Collaborate closely with process engineers to interpret experimental results, holding yourself and the team accountable to clear timelines for driving physical improvements.
- Ensure the reliability of our data architecture, challenging existing assumptions to push the boundaries of what our data systems can achieve.
- Demonstrated command of applied statistics, data analysis, and building robust data pipelines (batch or streaming).
- Experience autonomously leading projects that involve large, messy, and incomplete real-world datasets.
- Strong programming proficiency in Python, including libraries like NumPy, PyTorch, or JAX.
- A track record of taking ML models out of research and successfully deploying them into real-world production systems.
- Exceptional communication skills, with the ability to clearly translate complex data insights into actionable visualizations and technical plans for your team.
- Experience with simulation, optimization, or real-time control systems.
- Familiarity with data orchestration tools (Airflow, Temporal) and large-scale data systems (Spark, S3, etc.).
- A deep curiosity or background in manufacturing, physics, or physical systems.
We’re an early-stage hardware startup with solid funding, world-class advisors, and a lab/office in San Francisco, CA.
Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $125,000 – $195,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi.
Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements:
- Medical, Dental, and Vision insurance
- Generous Paid Time Off inclusive of Holidays and Sick Time
- Visa Sponsorship
- Life and Disability Insurance
- Paid Parental Leave
- 401(k) retirement plan
- Weekly Learning & Development opportunities
- Commuter Benefits including Parking and Late Night Uber rides from the office
- Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts
Export Control Analysis: This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.
Compensation Range: $125K - $195K
Salary : $125,000 - $195,000