Senior Technical Program Manager
| Company | Toyota Research Institute |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $170240 – $255360 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 10+ years of experience in technical program management or a related role, with expertise in AI/ML, robotics, or autonomous systems.
- Strong understanding of machine learning, computer vision, and generative AI (e.g., foundation models, diffusion policies) as applied to automated driving.
- Proven track record of managing complex AI/ML projects involving end-to-end model training and deployment in real-world settings.
- Ability to coordinate cross-functional technical teams, balancing research exploration with execution efficiency.
- Experience with agile methodologies, achievement tracking, and risk management in AI-driven programs.
- Excellent communication skills, capable of bridging gaps between research, engineering, and executive leadership.
- Proficiency in project management and developer tools (e.g., JIRA, Confluence, GitHub, etc.).
Responsibilities
- Collaborate with machine learning researchers and engineers to define technical achievements, manage interdependencies, and track progress toward key deliverables.
- Facilitate the integration of LBM-based end-to-end models into real-world vehicle platforms and simulations.
- Ensure seamless communication between cross-organizational and cross-functional teams, including machine learning, simulation, vehicle platform, and machine learning/data infrastructure groups.
- Identify and mitigate technical risks, ensuring robust model training, validation, and deployment pipelines.
- Support data-driven decision-making by implementing tools for tracking model performance, system integration progress, and deployment readiness.
- Collaborate with leadership to align technical roadmaps with broader organizational objectives and key performance indicators.
- Provide regular updates on project progress, key breakthroughs, and risks to executive leadership and high-level collaborators, ensuring alignment with strategic objectives.
- Drive continuous process improvement and identify bottlenecks in research-to-deployment workflow.
Preferred Qualifications
- Experience in automated driving technologies, including perception, prediction, planning, or sensor simulation.
- Background in robotic motion planning, real-time systems, or large-scale ML infrastructure.
- Familiarity with high-performance computing environments and cloud-based ML training pipelines.
- Knowledge of automotive-grade compute platforms and safety-critical software development.