Posted:
4/2/2026, 6:21:06 AM
Location(s):
Cambridge, Massachusetts, United States ⋅ California, United States ⋅ Los Altos, California, United States ⋅ Massachusetts, United States
Experience Level(s):
Senior
Field(s):
Software Engineering
Workplace Type:
Hybrid
Pay:
$169/hr or $351,520 total comp
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve 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 TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's 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.
Website: https://www.tri.global/
Headquarter Location: Palo Alto, California, United States
Employee Count: 101-250
Year Founded: 2016
IPO Status: Private
Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Consumer Research ⋅ Machine Learning ⋅ Product Research