Senior Technical Program Manager
Senior Technical Program Manager
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 170240 - 255360
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a worldclass team in Energy & Materials HumanCentered AI Human Interactive Driving Large Behavioral Models and Robotics.
The Discover Nurture and Adopt (DNA) division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products services and needs. We achieve this through partnership collaboration and shared commitment. DNA is leading a new crossorganizational project between TRI and Woven by Toyota to research and develop a fully endtoend learned automated driving / ADAS stack. This crossorg collaborative project is synergistic with TRIs robotics divisions efforts in Diffusion Policy and Large Behavior Models (LBM).
We are looking for a Senior Technical Program Manager (TPM) to partner with the machine learning lead on endtoend model development leveraging Diffusion Policy and Large Behavior Models (LBM) for automated driving. In this role you will oversee complex crossorganizational and crossfunctional initiatives focused on training and deploying largescale AI models that enable robust realworld automated driving capabilities. You will work closely with machine learning researchers software engineers and roboticists to drive manage dependencies and accelerate progress toward productionready automated driving / ADAS systems.
Responsibilities
- Collaborate with machine learning researchers and engineers to define technical achievements manage interdependencies and track progress toward key deliverables.
- Facilitate the integration of LBMbased endtoend models into realworld vehicle platforms and simulations.
- Ensure seamless communication between crossorganizational and crossfunctional 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 datadriven decisionmaking 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 highlevel collaborators ensuring alignment with strategic objectives.
- Drive continuous process improvement and identify bottlenecks in researchtodeployment workflow.
Qualifications
- 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 endtoend model training and deployment in realworld settings.
- Ability to coordinate crossfunctional technical teams balancing research exploration with efficiency.
- Experience with agile methodologies achievement tracking and risk management in AIdriven 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..
Bonus Qualifications
- Experience in automated driving technologies including perception prediction planning or sensor simulation.
- Background in robotic motion planning realtime systems or largescale ML infrastructure.
- Familiarity with highperformance computing environments and cloudbased ML training pipelines.
- Knowledge of automotivegrade compute platforms and safetycritical software development.
The pay range for this position at commencement of employment is expected to be between$170240and$255360/year for Californiabased roles; however base pay offered may vary depending on multiple individualized factors including market location jobrelated knowledge skills and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute Inc. or its subsidiaries including Toyota A.I. Ventures GP L.P. and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all without regard to an applicants race color creed gender gender identity or expression sexual orientation national origin age physical or mental disability medical condition religion marital status genetic information veteran status or any other status protected under federal state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
