Technical Program Manager – Robotics and Computer Vision
| Company | Toyota Research Institute |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $132000 – $198000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in computer science, robotics, electrical engineering, or a related technical field.
- 4–6+ years of industry experience, including 2–3 years in a hands-on technical role (e.g., software development, robotics systems, or computer vision), and additional direct experience in technical program or project management.
- Demonstrated ability to lead teams across technical domains and drive execution from concept to deployment.
- Experience managing complex systems involving both hardware and software integration.
- Strong technical, analytical, and quantitative skills, with the ability to use data to back up recommendations and drive decisions.
- Experience conceptualizing complex interrelated applications and system platforms, as well as the ability to communicate those systems to non-technical partners.
Responsibilities
- Own program structures and decision-making frameworks that enable multidisciplinary teams to move quickly, iterate collaboratively, and stay focused on delivering customer value.
- Coordinate with customers, researchers, engineers, and product leads to define goals, translate needs into requirements, and surface technical dependencies.
- Translate complex technical ideas into actionable, multi-functional roadmaps, aligning efforts with real-world constraints and long-term vision.
- Enable the research-to-product funnel, aligning upstream research with downstream productization and deployment.
- Apply technical empathy and product grounding, ensuring architectures, interfaces, and workflows are realistic, integrated, and robust.
- Drive clear communication of scope, priorities, breakthroughs, and status across all levels—from engineering teams to executive partners.
- Proactively identify, track, and mitigate risks, spanning technical, organizational, and scheduling challenges.
- Deliver strategic clarity while shielding teams from disruption, preserving momentum and focus.
- Support operational readiness and on-site integration, including occasional travel to manufacturing sites to validate systems and stay vigilant between the lab and the field.
Preferred Qualifications
- Strong understanding of machine learning, computer vision, and ML concepts.
- Familiarity with robotic perception, planning, or real-time systems.
- Knowledge of high-performance computing and cloud-based ML training pipelines.
- Experience coordinating across institutions, departments, or distributed teams.
- Exposure to agile development methodologies and experience managing risk in early innovation projects.