Base: $144,000 - $192,000 usd; bonus/equity: may i...
On-site
Proficiency in python programming
Extensive pytorch framework experience
Distributed training pipeline optimization
This role focuses on building core systems that enable researchers to train frontier models at scale with a focus on speed, cost, and reliability
Job Summary
This role focuses on building core systems that enable researchers to train frontier models at scale with a focus on speed, cost, and reliability.
Candidates will optimize distributed training pipelines and design high-performance GPU kernels to reduce time-to-convergence for next-generation models.
Motional offers a hybrid schedule with options for in-office work in Boston, Pittsburgh, or Las Vegas, or fully remote arrangements.
Matching Summary
This role focuses on building core systems that enable researchers to train frontier models at scale with a focus on speed, cost, and reliability.
Salary
Base: $144,000 - $192,000 USD; Bonus/Equity: May include additional forms of compensation such as bonus or company equity; Benefits: Medical, dental, vision, 401k match, health savings accounts, life insurance, pet insurance
Skills & Requirements
Must-have
Proficiency in Python programming
Extensive PyTorch framework experience
Distributed training pipeline optimization
GPU kernel development with CUDA or Triton
Performance profiling using Nsight tools
Nice-to-have
Bias for action and data-driven approach
Experience with frontier model scaling
Strong analytical problem-solving skills
Key Requirements
Bachelor's, Master's, or PhD in Computer Science or related field