The foundational platform for enterprise Physical AI. Production-Hardened and Safe Physical AI for Enterprises. Backed by Kleiner Perkins and Lightspeed.
About the role
As a Senior/Staff Algorithms Engineer, you will be working on a myriad of challenges related to robot task and action planning. You will leverage techniques from machine learning, search, discrete and continuous optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics.
What they're looking for
- Degree in Computer Science, Electrical Engineering, or Mathematics and strong knowledge of Modern C++ and Python (preferred)
- 5+ years of relevant Industry or Research experience
- Familiarity with Linux and git versioning
- Experience with Optimization (convex, continuous, combinatorial, etc.)
- Experience with various Search Strategies Monte Carlo Tree Search (MCTS), Depth-First Search (DFS), etc
- Constraint Satisfaction Problems, Statistics and State Estimation
More about this role
As a Senior/Staff Algorithms Engineer, you will be working on a myriad of challenges related to robot task and action planning. You will leverage techniques from machine learning, search, discrete and continuous optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement learning, task and motion planning, and other related fields in order to further develop Dexterity’s technology foundations in physical AI.
Dexterity’s robotic solutions integrate data from a multitude of sensors, including RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry and human input. To better inform the planning algorithms, you may work on sensor fusion and state estimation techniques to leverage this multimodal sensory data.
You will also work closely with the data platform, physics simulation, and robot operations teams to develop effective and efficient ways to improve the system’s internal world model.
Dexterity has an expanding set of algorithmic challenges as we deploy new robotic applications, including areas such as, Improving packing algorithms...
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