Data & ML Engineer

Atomic Semi•San Francisco, CA

2d•$125,000 - $195,000•Onsite

About The Position

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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