Motional logo
Motional

We're making driverless vehicles a safe, reliable, and accessible reality.

Principal Engineer, Tech Lead – ML Acceleration

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 1,001-5,000Since 2020H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

129 days ago

Salary

$240K - $330K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishAWSAzureDistributed SystemsGCPPythonPyTorch

Job Description

Principal Engineer, Tech Lead – ML Acceleration

Motional

• 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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