Motional
We're making driverless vehicles a safe, reliable, and accessible reality.
Principal Engineer, Tech Lead – ML Acceleration
Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 2020H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
45 days ago
Salary
$240K - $330K / year
Bachelor Degree8 yrs expEnglishAWSAzureCloudDistributed SystemsGoogle Cloud PlatformPythonPy Torch
Job Description
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
• Collaborate closely with ML research, ML Training platform, and product teams.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
Job Requirements
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
- 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, infrastructure, or performance optimization.
- 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
- Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
- Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
- Deep expertise in ML frameworks such as PyTorch or JAX.
- Proficiency in performance profiling and optimization techniques for ML workloads.
- Strong programming skills in Python; C++ experience is a plus.
- Knowledge of MLOps principles and practices.
Benefits
- Medical
- Dental
- Vision
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
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