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Principal Engineer Tech Lead Manager, ML Acceleration

3 months, 2 weeks ago
United States
Full-time
Lead
Technical Lead
Software Development
AWS Azure C++ GCP Machine Learning MLOps Python PyTorch
Apply Now
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised
View All Jobs 22

Description

  • Build, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.
  • Provide technical guidance, mentorship, and career development to team members.
  • Define team goals, priorities, and roadmap in alignment with company objectives.
  • Set the technical vision and strategy for ML acceleration across the organization.
  • Evaluate and apply technologies and methods to speed up ML training, including data pipeline optimization, distributed training, data loader optimization, hardware acceleration, and model optimization.
  • Design, develop, and implement scalable and efficient ML acceleration solutions.
  • Collaborate with ML research, ML training platform, and product teams to integrate acceleration solutions.
  • Communicate complex technical concepts and strategies to technical and non-technical stakeholders.
  • Act as a technical expert and advocate for ML acceleration initiatives.
  • Measure, report on, and continuously improve the impact of acceleration efforts.

Requirements

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 8+ years of experience in software engineering.
  • 5+ years focused on machine learning systems and model performance optimization.
  • 3+ years of experience in a technical lead or management role.
  • Proven experience building and leading high-performing teams.
  • Experience with large-scale ML model training and deployment, ideally in a production environment.
  • Strong understanding of distributed systems and cloud computing platforms such as AWS, GCP, or Azure.
  • Deep expertise in ML frameworks such as PyTorch or JAX.
  • Proficiency in performance profiling and optimization techniques for deep neural networks.
  • Strong programming skills in Python; C++ experience is a plus.
  • Knowledge of MLOps principles and practices.
  • Exceptional leadership, communication, and interpersonal skills.
  • Ability to attract, hire, and retain top engineering talent.
  • Proven ability to drive complex technical projects from conception to completion.
  • Strong problem-solving skills and a proactive, results-oriented mindset.
  • Ability to thrive in a fast-paced, dynamic environment.

Benefits

  • Estimated base salary range of $240,000 to $330,000 USD.
  • Additional compensation may include a bonus and company equity.
  • Medical, dental, and vision coverage.
  • 401(k) with company match.
  • Health savings accounts.
  • Life insurance.
  • Pet insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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