Founding Engineer (Systems + ML)

Partcl
San Francisco
Workplace: OnsiteFull timeUSD 130,000 - 300,000 annuallyFunction: Entrepreneurship & Venture BuildingSkills: []

Founding engineer at Partcl will design and optimize ML-powered systems for chip design automation, alternating between high-performance architectures, CUDA kernels, and end-to-end pipelines. You’ll work on training and deploying custom models, optimize inference, and engage with customers to deploy solutions in the field, focusing on performance, scalability, and productive AI tooling.

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FursaFursa
Partcl
Partcl
1 year ago

Founding Engineer (Systems + ML)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Founding engineer at Partcl will design and optimize ML-powered systems for chip design automation, alternating between high-performance architectures, CUDA kernels, and end-to-end pipelines. You’ll work on training and deploying custom models, optimize inference, and engage with customers to deploy solutions in the field, focusing on performance, scalability, and productive AI tooling.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Entrepreneurship & Venture Building

Key Responsibilities

  • •Explore new ML model architectures which give 1000x performance over existing methods for chip design.
  • •Architect and build end‑to‑end pipelines: high‑performance kernels, efficient file IO, training models, latency sensitive inference, CLI/UI layers.
  • •Talk to customers, deploy in their office, fix prod on the fly.
  • •Learn quickly.

Pay and Benefits

Salary: USD 130,000 - 300,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Expert in PyTorch and CUDA programming.
  • •Deep understanding of systems - memory, latency, and performance tradeoffs.
  • •Experience designing, training and deploying custom models (a GPT wrapper does not count).
  • •Versatility: comfortable toggling between model architecture design, low‑level optimization and scalable system design (N~>10M).
  • •Proficient with GPU profiling and performance analysis.
Experience:Chip design automationAI hardware
Tech Stack:PyTorchCUDAC++PythonRustGPU Programming

Eligibility

Visa:Will sponsor
Work Authorization:Sponsorship available.

Company Brief

Partcl
Operates an online manufacturing marketplace connecting engineers and buyers with vetted manufacturers and suppliers for custom parts, prototypes, and production runs. Provides quoting, order management, and supplier verification to streamline sourcing of machined, sheet metal, and fabricated components.
Industry: Online Marketplaces
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