Principal Engineer Tech Lead Manager, ML Acceleration

4 hours, 28 minutes ago
Full-time
Lead
Software Development
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

Description

  • Build, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.
  • Provide technical guidance, mentorship, and career development support 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 ML acceleration solutions.
  • Collaborate with ML research, ML training platform, and product teams to integrate acceleration solutions.
  • Communicate complex technical strategies to both technical and non-technical stakeholders.
  • Measure and report on the impact of acceleration efforts.
  • Continuously identify opportunities for optimization and innovation.

Requirements

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 8+ years of software engineering experience, including at least 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.
  • Extensive experience with large-scale ML model training and deployment 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.

Benefits

  • Base salary range of $240,000 to $330,000 USD.
  • Additional compensation may include a bonus or 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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