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 and cost efficiency
Job Summary
This role focuses on building core systems that enable researchers to train frontier models at scale with a focus on speed and cost efficiency.
The engineer will optimize distributed training pipelines and design high-performance GPU kernels to reduce time-to-convergence for next-generation models.
Motional offers a hybrid work schedule with options for in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote work.
Matching Summary
This role focuses on building core systems that enable researchers to train frontier models at scale with a focus on speed and cost efficiency.
Salary
Base: $144,000 - $192,000 USD; Bonus/Equity: May include additional forms of compensation; Benefits: Medical, dental, vision, 401k match, life 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
Strong analytical problem-solving skills
Data-driven approach to technical challenges
Experience with frontier model scaling
Bias for action in engineering tasks
Key Requirements
Bachelor's, Master's, or PhD in Computer Science or related field