Applied Research Engineer | Intrinsic · Teeming.ai
Intrinsic
Intrinsic is a robotics software and AI company at Alphabet. Our mission is to make industrial robotics accessible and usable for millions more businesses, entrepreneurs, and developers. We are a…
Intrinsic is a robotics software and AI company at Alphabet. Our mission is to make industrial robotics accessible and usable for millions more businesses, entrepreneurs, and developers. We are a…
Mission: Make industrial robotics accessible and easier to program, deploy, and operate
Core product: Intrinsic platform including Flowstate and IntrinsicOS
Origin: Founded inside Alphabet in 2021 as an Other Bet
Corporate change: Joined Google as a distinct group in February 2026
Employee count: Approximately 295
Company Overview
Problem Domain
Industrial robotics software and AI for programming, deployment, and operation of robots
Founded
2021
Industry
Software Development
Funding Track Record
Total Funding: 10750000 USD
Founders
What we do
Join the Team
Applied Research Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
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Who you are
Masters in Computer Science, Robotics or equivalent with practical experience in robotics and machine learning
Be knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim, etc.) to implement motion planning/machine learning algorithms
At least 2 years of experience in one or more of: motion planning for robotics, classical robot motion planning (e.g., RRTs, PRMs), machine learning/deep learning
Solid Experience programming in C++, Python, and ideally Jax
Must have research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference
PhD in Robotics, Computer Science or a similar technical field
Experience with the design and implementation of large, complex machine learning algorithms with large amounts of data and highly parallelized algorithms
4 years of applied experience in machine learning for robotics motion planning
What the job involves
As a researcher in robotics/AI, you will have the opportunity to join our R&D team working on novel robotics capabilities that have impact in real world applications
Benefits
Medical, dental, and vision insurance for employees and dependents
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You will work alongside a team of researchers and engineers developing novel machine learning, reinforcement learning, and foundation models for AI-enabled robotics capabilities in the areas of robot manipulation, robot perception, and robot motion planning
With the broader engineering team and industrial partners, your work will bring promising prototypes to real world, practical, applications
Our team works closely with researchers at Google DeepMind Robotics, Universities, and other research labs to bring solutions to the real world
You should be excited to work with new technologies as you discover creative solutions to new meaningful problems applying AI in robotics
Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes
Exploit advances in machine learning (e.g,. graph nets, deep-learning, transformer models, etc.) for developing novel data-driven motion planning systems
Implement state of the art algorithms and libraries in Python, C++, and Jax
Bring problems from industrial partners to functional new solutions with very high reliability and performance
Distill recent robotics/ML research publications for target problems and implement promising solutions
Employee assistance programs focused on mental health
Workplace accommodations for physical or mental health concerns
Access to mental health apps
Competitive compensation package that includes base salary, an annual performance bonus target, and equity
401(k) and regional retirement plans
Student loan reimbursement
Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays
Hybrid work model that balances in-person collaboration and productivity with individual flexibility
