Partcl · 5 months ago
Founding Engineer (Systems + ML)
San Francisco, CA
Full-time
Onsite
Senior Level
$130K/yr - $300K/yrPartcl is developing the next generation of chip design automation tools with a focus on performance, scalability, and productivity. They are seeking a Founding Engineer who understands machine learning and systems deeply to solve massive-scale problems in physical AI.
AI InfrastructureArtificial Intelligence (AI)Generative AISemiconductor
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
Qualification
Required
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 scaleable system design (N~>10M)
Proficient with GPU profiling and performance analysis
Preferred
Exposure to chip design and electronic design automation (EDA)
Expert in Reinforcement Learning
Research in compilers, programming languages
Papers in respected conferences and journals
Experience with physics-driven ML
Company
Partcl
Partcl uses AI and GPUs to optimize chip design and speed up timing analysis workflows.
Founded in 2024
2-10 employees
Funding
Current Stage
Early StageTotal Funding
unknownKey Investors
Y Combinator
2025-04-01Pre Seed
Leadership Team
William Salcedo
CEO
Vamshi Balanaga
Co-Founder and CTO
Company data provided by crunchbase