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Atomic Semi

Data & ML Engineer

Posted 2 Days Ago
In-Office
San Francisco, CA, USA
125K-195K Annually
Mid level
In-Office
San Francisco, CA, USA
125K-195K Annually
Mid level
The role involves building systems to analyze fab data, optimize manufacturing processes, and develop tools for statistical process control, integrating models into workflows.
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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.

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

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 have

  • 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

Working at Atomic Semi

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

We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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.

Top Skills

Amazon S3
Apache Airflow
Jax
Numpy
Python
PyTorch
Spark
Temporal
HQ

Atomic Semi San Francisco, California, USA Office

San Francisco, CA, United States

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