Senior Software Engineer, Motion Planning - Covariant
Emeryville, CA 94608
About the Job
Emeryville, CAEngineering – Software /Full-time /HybridTHE COMPANYOur mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them
Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques.Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences
Our common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset.THE ROLEThe Covariant Brain is a Robotics Foundational Model that powers all robotic applications at Covariant
The Brain is a collection of state-of-the-art models, algorithms, and APIs that enable all intelligent behavior of the robot, from perception to 3D object understanding, grasp sampling, ranking, motion planning, and control
The ML Performance Team owns the Brain models and algorithms used in production stations
For developing the next generation of our motion planning stack, we are looking for a candidate with extensive experience in designing and deploying motion planning algorithms in the real world.YOU WILLIdentify, design, and implement both short and long-term improvements to the Brain’s motion planning algorithmsBalance performance tradeoffs (optimality, latency, memory usage) to deliver the best motion planner for Covariant’s robotic applicationsApply software engineering best practices to the Brain’s motion planning APIServe as an expert on path planning, acceleration, collision checking, motion simulation, and robot controlCollaborate with the software team on integrating motion planning improvements into robotic applicationsSupport the hardware during the station design stage in the context of reachability and optimizing the expected robot motion timeBe a full member of the ML Performance Team by supporting additional models and algorithms in the Brain as neededTravel to the customer site as needed to resolve issues with robots in production (not expected for more than once per quarter, if needed at all)YOU HAVEExtensive experience in designing and implementing motion planning for applications that operate in the real worldExpert-level knowledge of motion planning algorithmsA track record of shipping well-designed, well-tested production codeMathematical maturityDemonstrated strong problem-solving ability: analyzing real-world problems and formulating solutions, iterating and formulating, shipping, and making an impact on products for customersClear communication and collaboration across teams: taking requests from customers and PMs while prioritizing work across SW and HW teamsNICE TO HAVESExperience with 6 degrees of freedom (DoF) robotsProficiency in Python and experience with tensor libraries (e.g
NumPy, PyTorch, TensorFlow)Research experience in academia or industry$170,000 - $225,000 a yearBase pay is one element of our total rewards package which may also include comprehensive benefits and equity etc., depending on eligibility
The actual base pay offered will be determined by factors such as years of relevant experience, skills, education, etc
Decisions will be determined on a case-by-case basis.COMPANY CORE VALUESLEARNING CONSTANTLY STRIVING FOR EMPATHY TAKING ON THE IMPOSSIBLE, TOGETHER BENEFITS (US)Health, dental, and vision insurance for you and your familyUnlimited PTO and Flexible work hours401(k) plan and company matchLunch and dinner each day (for on-site employees)Monthly Health & Wellness budgetQuarterly Learning budgetAt covariant.ai we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community
Covariant.ai is proud to be an equal opportunity workplace
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques.Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences
Our common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset.THE ROLEThe Covariant Brain is a Robotics Foundational Model that powers all robotic applications at Covariant
The Brain is a collection of state-of-the-art models, algorithms, and APIs that enable all intelligent behavior of the robot, from perception to 3D object understanding, grasp sampling, ranking, motion planning, and control
The ML Performance Team owns the Brain models and algorithms used in production stations
For developing the next generation of our motion planning stack, we are looking for a candidate with extensive experience in designing and deploying motion planning algorithms in the real world.YOU WILLIdentify, design, and implement both short and long-term improvements to the Brain’s motion planning algorithmsBalance performance tradeoffs (optimality, latency, memory usage) to deliver the best motion planner for Covariant’s robotic applicationsApply software engineering best practices to the Brain’s motion planning APIServe as an expert on path planning, acceleration, collision checking, motion simulation, and robot controlCollaborate with the software team on integrating motion planning improvements into robotic applicationsSupport the hardware during the station design stage in the context of reachability and optimizing the expected robot motion timeBe a full member of the ML Performance Team by supporting additional models and algorithms in the Brain as neededTravel to the customer site as needed to resolve issues with robots in production (not expected for more than once per quarter, if needed at all)YOU HAVEExtensive experience in designing and implementing motion planning for applications that operate in the real worldExpert-level knowledge of motion planning algorithmsA track record of shipping well-designed, well-tested production codeMathematical maturityDemonstrated strong problem-solving ability: analyzing real-world problems and formulating solutions, iterating and formulating, shipping, and making an impact on products for customersClear communication and collaboration across teams: taking requests from customers and PMs while prioritizing work across SW and HW teamsNICE TO HAVESExperience with 6 degrees of freedom (DoF) robotsProficiency in Python and experience with tensor libraries (e.g
NumPy, PyTorch, TensorFlow)Research experience in academia or industry$170,000 - $225,000 a yearBase pay is one element of our total rewards package which may also include comprehensive benefits and equity etc., depending on eligibility
The actual base pay offered will be determined by factors such as years of relevant experience, skills, education, etc
Decisions will be determined on a case-by-case basis.COMPANY CORE VALUESLEARNING CONSTANTLY STRIVING FOR EMPATHY TAKING ON THE IMPOSSIBLE, TOGETHER BENEFITS (US)Health, dental, and vision insurance for you and your familyUnlimited PTO and Flexible work hours401(k) plan and company matchLunch and dinner each day (for on-site employees)Monthly Health & Wellness budgetQuarterly Learning budgetAt covariant.ai we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community
Covariant.ai is proud to be an equal opportunity workplace
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Source : Covariant