Data & ML Engineer
About The Position
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 role You'll build systems that use fab data to understand, monitor, and optimize the manufacturing process. The focus involves turning raw data into insights and decisions that improve yield, reliability, and throughput.
Requirements
- Strong foundation in statistics and data analysis
- Experience working with real-world datasets (large, messy, incomplete)
- Strong programming skills in Python (NumPy, PyTorch/JAX, etc.)
- Experience building data pipelines and systems (batch or streaming)
- Ability to clearly communicate results through writing and visualization
- Focus on applied work — building systems, not just research
Nice To Haves
- Experience with simulation, optimization, or control systems
- Familiarity with data orchestration tools (Airflow, Temporal)
- Experience with large-scale data systems (Spark, S3, etc.)
- Experience deploying ML systems in production
- Interest in manufacturing, physics, or real-world systems
Responsibilities
- Build systems to ingest, process, and analyze fab data (telemetry, experiments, results, logs)
- Develop tools for statistical process control (SPC) and process monitoring
- Design and build systems for experiment design and analysis
- Build simulations and models to understand bottlenecks and optimize the fab
- Work closely with process engineers to interpret results and drive improvements
- Productionize models and integrate them into real workflows
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
