About The Role:
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.
Day to Day Activities:
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.
Desired Skills:
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.
Familiarity with multiple of the following:
Optimization (convex, mip, non-convex)
Artificial Intelligence (deep learning, reinforcement learning)
Search Strategies (mcts, dfs, etc.)
System Modeling
Constraint Satisfaction Problems
Statistics and State Estimation
Operations Research
Motion Planning
Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $150,000 to $190,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.
