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 world-class team advancing the state of the art in AI robotics driving and material sciences.
The Team
The Future Factory team in TRIs Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyotas product design and manufacturing to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made from geometry and constraints through to simulation and assembly and developing the engineering infrastructure needed to train evaluate and iterate on these systems at scale.
The Opportunity
We are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation deep experience working with geometry or physical modeling and a genuine interest in how things are made.
As a research engineer on the team you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research translating emerging ideas into robust production-quality implementations.
Responsibilities
- Design build and maintain robust and efficient pipelines for model training and evaluation with a focus on reliability scalability and researcher productivity.
- Develop tools and frameworks to measure and improve model performance across multiple dimensions including accuracy generalization and computational efficiency.
- Collaborate closely with researchers to translate emerging techniques and experimental findings into clean production-ready implementations.
- Build high-performance systems for geometry manipulation processing and modeling including integration with CAD CAM or related geometric representations.
- Contribute to the teams shared infrastructure and codebase raising the standard for code quality testing and documentation.
Qualifications
- An MS or equivalent in Computer Science Robotics Mechanical Engineering or a related field plus several years of relevant industry or research experience.
- A strong track record of designing and shipping reliable software systems with an ability to work across the full stack of a research engineering project.
- Experience working with computational geometry CAD CAM or graphics systems and a clear understanding of the challenges involved in processing and representing complex 3D geometry.
- Experience building performant systems for geometry manipulation or modeling including efficient data structures algorithms or GPU-accelerated pipelines.
- Interest in manufacturing simulation or process automation and enthusiasm for working in a domain where software has direct physical consequences.
Bonus Qualifications
- Familiarity with topology optimization constraint solving or CSG representations and experience applying these in applied research or production contexts.
- Experience with physical modeling in some form finite element analysis neural ODEs or PDEs or physical simulation frameworks such as MuJoCo Taichi or similar tools.
- Exposure to machine learning model development including training pipelines evaluation harnesses and experiment tracking at scale.
- Prior experience in a research lab or research-adjacent engineering role with an appreciation for how to balance rigor and velocity.
The pay range for this position at commencement of employment is expected to be between $180000 and $258750/year for California-based roles and between $162000 and $232875/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors including but not limited to a candidates experience skills job-related knowledge and market location. TRI offers a generous benefits package including medical dental and vision insurance 401(k) eligibility paid time off benefits (including vacation sick time and parental leave) and an annual cash bonus structure. Additional details regarding 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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 world-class team advancing the state of the art in AI robotics driving and...
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 world-class team advancing the state of the art in AI robotics driving and material sciences.
The Team
The Future Factory team in TRIs Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyotas product design and manufacturing to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made from geometry and constraints through to simulation and assembly and developing the engineering infrastructure needed to train evaluate and iterate on these systems at scale.
The Opportunity
We are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation deep experience working with geometry or physical modeling and a genuine interest in how things are made.
As a research engineer on the team you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research translating emerging ideas into robust production-quality implementations.
Responsibilities
- Design build and maintain robust and efficient pipelines for model training and evaluation with a focus on reliability scalability and researcher productivity.
- Develop tools and frameworks to measure and improve model performance across multiple dimensions including accuracy generalization and computational efficiency.
- Collaborate closely with researchers to translate emerging techniques and experimental findings into clean production-ready implementations.
- Build high-performance systems for geometry manipulation processing and modeling including integration with CAD CAM or related geometric representations.
- Contribute to the teams shared infrastructure and codebase raising the standard for code quality testing and documentation.
Qualifications
- An MS or equivalent in Computer Science Robotics Mechanical Engineering or a related field plus several years of relevant industry or research experience.
- A strong track record of designing and shipping reliable software systems with an ability to work across the full stack of a research engineering project.
- Experience working with computational geometry CAD CAM or graphics systems and a clear understanding of the challenges involved in processing and representing complex 3D geometry.
- Experience building performant systems for geometry manipulation or modeling including efficient data structures algorithms or GPU-accelerated pipelines.
- Interest in manufacturing simulation or process automation and enthusiasm for working in a domain where software has direct physical consequences.
Bonus Qualifications
- Familiarity with topology optimization constraint solving or CSG representations and experience applying these in applied research or production contexts.
- Experience with physical modeling in some form finite element analysis neural ODEs or PDEs or physical simulation frameworks such as MuJoCo Taichi or similar tools.
- Exposure to machine learning model development including training pipelines evaluation harnesses and experiment tracking at scale.
- Prior experience in a research lab or research-adjacent engineering role with an appreciation for how to balance rigor and velocity.
The pay range for this position at commencement of employment is expected to be between $180000 and $258750/year for California-based roles and between $162000 and $232875/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors including but not limited to a candidates experience skills job-related knowledge and market location. TRI offers a generous benefits package including medical dental and vision insurance 401(k) eligibility paid time off benefits (including vacation sick time and parental leave) and an annual cash bonus structure. Additional details regarding 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
View more
View less
Job Location:
Yearly Salary:
$ 162000 - 232875
Posted on:
Yesterday
Vacancies:
1 Vacancy
