Lead Algorithms Engineer

As a Senior Lead 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 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 to build taller, denser, more stable structures with a wider variety of objects Solving the logistics task of moving and sorting inventory throughout a warehouse Finding optimal schedules for real-world, stochastic, non-linear robotics systems In addition to core algorithmic developments, you will be responsible for building high quality, maintainable, and performant software Ideally, you will bring strong software system design sensibilities and help guide software development within the team more broadly Make both revolutionary and evolutionary modifications to various algorithms stemming from modern optimal control to chess solvers Collaborate with roboticists, machine learning engineers, mechanical engineers, and product managers to find optimal system solutions Implement, test, and maintain high quality software Develop and maintain accurate models of robotics systems Integrate algorithms with existing software infrastructure, including development of any necessary auxiliary software Deploy software to remote servers Lead efforts to improve the rigor and performance of algorithms within Dexterity Optimization (convex, mip, non-convex) Familiarity with Linux and git versioning Degree in Computer Science, Electrical Engineering, or Mathematics and strong knowledge of Modern C++ and Python (preferred) Artificial Intelligence (deep learning, reinforcement learning) System Modeling Statistics and State Estimation Search Strategies (mcts, dfs, etc.) 5+ years of relevant Industry or Research experience Constraint Satisfaction Problems Operations Research Familiarity with multiple of the following: Motion Planning #J-18808-Ljbffr Dexterity