Motional
Posted 26 days agoVerified live 13h ago
Machine Learning Systems Engineer
Brief overview
Remote
$144k–$192k/yrStated range
174 H-1B approvalsDept. of Labor
53 green cardsCertified filings
PythonPyTorchPyTorch DistributedMachine Learning Model OptimizationDistributed TrainingGPU Kernel DevelopmentTritonCUDAPerformance ProfilingData Loading Pipelines
About the company
Motionalmotional.com
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.174H-1B approved
96%approval rate
38new H-1B hires
53PERM certified
$149,136median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202375
202455
202537
20267
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202324
20244
20254
20269
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202319
202414
202519
20261
Top sponsored roles
Principal Engineer, Team LeadSenior Engineer (Senior Machine Learning Engineer)Senior Engineer (Autonomy - Perception & Prediction)Engineer (AV Testing)Engineer (Compute & Onboard Runtime)
Sponsored employees from
IndiaChinaTaiwanSouth KoreaNetherlands
Job description
Summary
Motional is a driverless technology company developing autonomous vehicles to make transportation safer, more reliable, and accessible. The Machine Learning Systems Engineer will build and optimize the core systems supporting large-scale distributed model training, focusing on performance, cost, reliability, and throughput.
Responsibilities
- **Performance Profiling & Optimization**: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time
- **Distributed Training**: Optimize distributed training pipelines using frameworks such as PyTorch Distributed
- **Kernel Development**: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads
- **Data Pipeline Engineering**: Optimize robust data loading pipelines that maximize training throughput
Skills
- Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline
- Strong proficiency in Python
- Extensive hands-on experience with PyTorch
- Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes
- Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges
Qualifications
Must Haves
- Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline
- Strong proficiency in Python
- Extensive hands-on experience with PyTorch
- Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes
- Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges
Benefits
- Bonus compensation may be included.
- Company equity may be included.
- Medical insurance
- Dental insurance
- Vision insurance
- 401k with a company match
- Health savings accounts
- Life insurance
- Pet insurance
- Hybrid schedule with in-office time at one of the Boston, Pittsburgh, or Las Vegas locations, or fully remote work