Senior Lead Algorithms Engineer

About The Role: As a Senior Lead Algorithms Engineer, you will be working on a myriad of challenges related to optimizing robot work schedules and motions across a variety of use cases. You will look  for motion planning algorithms that are computationally faster, result in smooth trajectories, decrease cycle time, and avoid hitting obstacles in dynamic, unstructured environments.  Dexterity’s algorithmic problems is ever expanding as we deploy new robotic applications, work areas such as: Solving the logistical task of moving and sorting inventory throughout a warehouse.  Finding optimal schedules requires solving difficult real-world optimization problems involving a complex, stochastic, nonlinear system.  Creating better packing algorithms to allow us to assemble increasingly taller and denser ensemble shapes, thereby increasing the number of instances where our robots can be deployed. Dexterity is increasingly looking to deploy robots in more unstructured environments.  More variable environments necessitate even more adaptive and performance algorithms for motion planning and path planning.   Almost all of Dexterity’s robotics solutions employ the fusion of multiple information sources. We collect data from a multitude of sources including: RGB and depth sensors/cameras, encoder motion data,  system telemetry, and human input.  Employing sensor fusion / state estimation techniques to arrive at more accurate estimates of the world is necessary to increase robot performance and accuracy across Dexterity’s solutions. About Dexterity: At Dexterity, we believe robots can positively transform the world.  Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world.   Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities.  Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production.  And did we mention we’re customer-obsessed?  Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.  We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality! 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 joint 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 knowledge of Modern C++ and Python (preferred).  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. Equal Opportunity Employer We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply for this job