Description
As a Senior Robotics Manipulation Engineer, you will be working on a myriad of challenges related to manipulation, control, simulation and learning. You will bring a data driven approach to learned robot controls. You will also stay abreast of the latest progress in reinforcement learning, motion planning and controls, 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 and execution system, you may work on sensor fusion and state estimation techniques to leverage this multimodal sensory data.
You will work closely with the data platform, simulation, and robot operations teams to collect training data to improve your models.
In addition to core manipulation and controls, you will be responsible for building high quality, maintainable, and performant software. Ideally, you will possess strong software system and interface design skills.
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:
- Train models for robotic manipulation, force control, servoing etc.
- Convert heuristics based control to learned models.
- Develop the right state space representation for our Robotics Systems.
- Collaborate with roboticist, machine learning engineers, mechanical engineers, and product managers to find optimal system solutions.
- Implement, test, and maintain high quality software.
- Lead efforts to improve the rigor and performance of models within Dexterity.
Required Skills:
- BS/MS/PhD in Computer Science or a related discipline.
- 5+ years of relevant Industry or Research experience.
- Strong Python programming skills.
- Knowledge of Modern C++ and Linux.
- Experience with multiple of the following:
- Artificial Intelligence (imitation learning, reinforcement learning, deep learning, LLMs)
- Distributed ML Training Platforms (Ray or other)
- Task and Motion Planning
- Simulation
Nice to haves:
- Experience with Git and modern CI pipelines.
- Experience with Docker and Kubernetes
- Previous startup experience
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 $170,000 to $225,000. 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.
Dexterity
Artificial Intelligence
Logistics
Robotics
Supply Chain Management
Warehousing
0 applies
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