The Role
The Senior Robotics Manipulation Engineer will address manipulation and control challenges by developing models and improving software in robotic systems.
Summary Generated by Built In
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!
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.
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
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.
Top Skills
C++
Docker
Kubernetes
Linux
Python
Ray
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The Company
What We Do
We deliver full-stack robot dexterity solutions for logistics, warehousing, and supply chain operations. Our robots pick, move, pack, and collaborate with human-like skill in existing infrastructure to solve the toughest problems in material handling.
