Develop production-grade robotics software for motion planning, collision checking, trajectory optimization, and robot trajectory generation. Build tooling, infrastructure, logging, metrics, and data pipelines to measure and improve motion-planning reliability and performance. Collaborate with controls and product teams to test robot motions on hardware, integrate motion capabilities, and support scalable warehouse-automation systems.
Robotics Software Engineer, Robot Math
Location: Redwood City, CA
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 worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and 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!
About The Role
At Dexterity, you will develop platform software and infrastructure to empower robotic engineers to freely command and craft robot motions under different geometric and dynamic constraints for Dexterity’s robotics applications. You will develop features and capabilities for fast and safe trajectory generation for 6 to 8 DOF robots operating in constrained spaces. You will apply your expertise in mathematics and experience in software development to solve some of the hardest motion challenges by contributing to our collision checking, spatial reasoning, efficient sampling strategies and graph based search algorithms for robot trajectory generation. One of the areas of focus of this role will also be on tooling and infrastructure for empowering robotics engineers as well as core software for the robotics system. You will work with a team of domain experts in trajectory optimization, collision checking, and simulation to develop a robust and scalable motion planning and trajectory optimization stack. As part of this role, you will get hands-on experience to experiment and test the robot motion stack on the robot hardware. You will also be responsible to support the product teams that use the robot motion stack to integrate and use its features on the robots to perform various tasks and meet KPIs.
Day-to-day Responsibilities (does not include all responsibilities)
BS (4+ years experience )/ MS (2+ years experience) / Ph.D. in Computer Science, Maths or a related discipline or equivalent experience
Build modern motion planning, collision checking, and trajectory optimization algorithms as part of features for core Robot Motion libraries.
Help build unique motion planning methods by developing infrastructure and features to measure reliability and performance in the field.
Introspect the performance (speed and quality) of the motion planning software and develop optimizations to improve them.
Design and implement novel trajectory optimization methods to deploy rapid robot motions.
Work closely with the robot controls team and product teams to use the motion planning stack and help design and test the generated motions.
Build production-grade tooling to extract logging and metrics from different classes of machines.
Build and analyze pipelines of critical and non-critical data: introspecting on errors regarding robot motions: desired motion → motion planning → robot control.
Enable complex robotic systems to scale globally!
Desired Experience, Knowledge, Skills and Abilities
BS (4+ years experience )/ MS (2+ years experience) / Ph.D. in Computer Science, Maths or a related discipline or equivalent experience
Strong Knowledge of Modern C++ and Python
Math fundamentals in Linear Algebra, Numerical Optimization (Convex, Non-Linear), Geometric Algorithms, Graph search algorithms
Experience delivering production software
Experience with Git, Kubernetes, and Docker.
Proficient in Linux
Strong user-centric focus on tooling and infrastructure
Independent, self-starter, and critical thinking engineer
Excellent verbal and written communication skills.
Strong analytical and problem-solving skills.
Excellent organizational skills and attention to detail.
Minimum two years of industry 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 $125,000 to $186,000. 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 Palo Alto, California, USA Office
Palo Alto, CA, United States
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