June 24, 2026

Principal Engineer Tech Lead Manager, ML Acceleration

Senior • On-site

Pittsburgh, PA

Mission Summary

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing

Team Leadership & Management:

  • 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.

Technical Strategy & Execution:

  • 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, including data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
  • Design, develop, and implement scalable and efficient ML acceleration solutions.

Cross-functional Collaboration:

  • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
  • 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.

Impact & Measurement:

  • Regularly measure and report on the impact of acceleration efforts.
  • Continuously seek opportunities for further optimization and innovation.

What we're looking for

Experience:

  • 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 and model 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 in a production environment
  • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)

Technical Skills:

  • 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

Leadership Skills:

  • 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

Salary Range

$240,000—$330,000 USD

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Hybrid

Pittsburgh, PA

🏢 Summary: Staff-level Autonomy TPM role focused on leading complex, cross-functional technical programs supporting driverless robotaxi development. The position drives large-scale ML model development and release cycles across Behaviors, Prediction, and ML Planning teams, ensuring alignment with company roadmaps and safety-critical milestones. It requires deep technical expertise in robotics or autonomous systems and proven experience delivering safety-critical AI software programs. 🗂️ Requirements: 7+ years in technical program management or similar role, Experience leading safety-critical AI software, robotics, or systems programs, Experience managing large model releases and model development lifecycles, Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field, Proven track record delivering large, complex technical programs from concept to launch, Ability to manage cross-functional engineering and product stakeholders, Strong experience communicating risks and progress to leadership 📃 Skills: MachineLearning, Robotics, AutonomousSystems, AI, ModelDevelopment, ModelRelease, MLPlanning, Prediction, TechnicalProgramManagement, SystemsEngineering 🏢 Description: Mission Summary: Motional is seeking to hire a Staff-level Autonomy TPM. This role requires strong, experienced leadership to drive complex initiatives across the company. We are seeking a high-impact individual to own and drive key cross-functional initiatives on the path to a driverless robotaxi. This role will operate across our core machine learning capabilities—specifically partnering with the Behaviors, Prediction, and ML Planning teams—to help prioritize and track technical workstreams in support of our driverless goals. The ideal candidate thrives in ambiguity, possesses technical expertise in robotics or autonomous systems, and has a strong background driving safety-critical ML software and model releases in a fast-paced environment. What You'll Do: Drive Strategic Initiatives: Own and execute large-scale, complex technical programs critical to the roadmap, focusing on model development and release cycles, while ensuring alignment between senior engineering leaders, product managers, and executive stakeholders. Lead Cross-Stack Integration: Serve as the Directly Responsible Individual (DRI) for high-level behavioral capabilities, managing dependencies and driving integration efforts across Prediction and ML Planning teams to successfully launch large models. Dive Deep Technically: Go beyond surface-level program tracking. Dive deep into ML and behavioral issues to facilitate trade-off discussions, and drive teams to convergence on robust solutions. Identify and Resolve Blockers: Proactively identify, quantify, and communicate technical risks and dependencies. Develop and execute mitigation strategies for high-priority issues that could impact driverless milestones. Influence Roadmaps: Partner with engineering and product leadership to ensure the ML and behaviors roadmap is well-defined, integrated, and aligned with top-level company goals. What We're Looking For: Experience & Domain Knowledge: 7+ years of experience in technical program management or a similar role, leading complex, safety-critical AI software, robotics, or systems programs. Experience managing large model releases and model development lifecycles is highly preferred. Education: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field. Proven Delivery: A strong track record of taking large, complex programs from initial concept and ambiguity to a successful launch. Clear Communication Skills: Demonstrated ability to act as the primary point of contact for complex programs, with a track record of communicating progress, risks, and strategic recommendations to leadership. We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. Salary Range $144,000—$191,250 USD Candidates for certain positions are eligible to participate in the benefits program. Benefits include medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.