Hybrid Research Engineer – Simulation for Robot Learning

at Tri-global Solutions Group Inc.

• Job title: Research Engineer – Simulation for Robot Learning
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $128,000 - $192,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, Los Altos, United States

About the role

• Research Engineer developing AI-powered robots through simulation and Large Behavior Models at Toyota Research Institute. Collaborating on cutting-edge research in AI and robotics technologies.

Responsibilities

• Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, 3D, video, actions) models at scale.
• Develop and manage physics-based robot simulation environments enabling scalable training and evaluation of learning-based behavior models in realistic, physically grounded scenarios.
• Integrate and validate learned policies in simulation, assessing real-world applicability, generalization, and performance across diverse environments, tasks, geometries, and sensor viewpoints.
• Train, finetune, and serve robot foundation models with a strong MLOps mindset.
• Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack.
• Collaborate with internal research scientists and our partner labs at top academic institutions and Toyota research labs to drive pioneering research at scale.

Requirements

• Bachelor's or master's degree in Computer Science, Robotics, Physics, or a related field.
• 2+ years of professional engineering experience at an AI/ML-focused organization.
• Strong proficiency in Python and experience with simulation frameworks such as Isaac Sim, PyBullet, MuJoCo, or similar.
• Hands-on experience with robotics simulation, reinforcement learning, or large-scale machine learning.
• Familiarity with state-of-the-art methods in behavior learning and/or computer vision.
• Experience integrating ML models into simulated or real-world environments.
• Extensive practical experience with PyTorch.
• Ability to alternate between rapid prototyping and production-quality implementation.
• Solid understanding of software engineering best practices, including testing, CI/CD, and documentation.

Benefits

• medical, dental, and vision insurance
• 401(k) eligibility
• paid time off benefits (including vacation, sick time, and parental leave)
• annual cash bonus structure