Autonomous Systems Engineer

1 day ago


Redwood City, California, United States Dexterity Full time
Job Description
We're seeking an experienced Autonomous Systems Engineer to join our team at Dexterity. As a pioneer in warehouse automation, we're creating smarter, more resilient supply chains that impact millions of lives and businesses worldwide. In this role, you will contribute to the development of platform software and infrastructure for robotic engineers to command and craft robot motions under geometric and dynamic constraints. Your expertise in mathematics and software development will enable you to solve complex motion challenges and develop novel trajectory optimization methods to deploy rapid robot motions.

About the Role
You will be responsible for building modern motion planning, collision checking, and trajectory optimization algorithms as part of features for core Robot Motion libraries. This includes helping to build unique motion planning methods by developing infrastructure and features to measure reliability and performance in the field. Additionally, you will work closely with the robot controls team and product teams to use the motion planning stack and help design and test the generated motions.

Responsibilities
- 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
- Develop features and capabilities for fast and safe trajectory generation for 6 to 8 DOF robots operating in constrained spaces

Requirements
- 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

Salary and Benefits
The annual base salary range for this position is from $125,000 to $186,000, depending on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.

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