D
Dexterity
Lead Algorithms Engineer
Skills
Deep LearningPythonMachine LearningAILinux
8 days ago
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Important information
Contract type:
Permanent
Salary:
$150,000 – $190,000 / year
Location:
Redwood City, CA, USA
Work mode:
Onsite
Published on:
12 October 2026
What they need
- As a Senior Lead Algorithms Engineer, you will be working on a myriad of challenges related to robot task and action planning
- You will leverage techniques from machine learning, search, discrete and continuous optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics
- You will also stay abreast of the latest progress in reinforcement learning, task and motion planning, and other related fields in order to further develop Dexterity’s technology foundations
- 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 algorithms, you may work on sensor fusion and state estimation techniques to leverage this multimodal sensory data
- You will also work closely with the data platform, physics simulation, and robot operations teams to develop effective and efficient ways to improve the system’s internal world model
- Dexterity has an expanding set of algorithmic challenges as we deploy new robotic applications, including areas such as:
- Improving packing algorithms to build taller, denser, more stable structures with a wider variety of objects
- Solving the logistics task of moving and sorting inventory throughout a warehouse
- Finding optimal schedules for real-world, stochastic, non-linear robotics systems
- In addition to core algorithmic developments, you will be responsible for building high quality, maintainable, and performant software
- Ideally, you will bring strong software system design sensibilities and help guide software development within the team more broadly
- Make both revolutionary and evolutionary modifications to various algorithms stemming from modern optimal control to chess solvers
- Collaborate with roboticists, machine learning engineers, mechanical engineers, and product managers to find optimal system solutions
- Implement, test, and maintain high quality software
- Develop and maintain accurate models of robotics systems
- Integrate algorithms with existing software infrastructure, including development of any necessary auxiliary software
- Deploy software to remote servers
- Lead efforts to improve the rigor and performance of algorithms within Dexterity- Optimization (convex, mip, non-convex)
- Familiarity with Linux and git versioning
- Degree in Computer Science, Electrical Engineering, or Mathematics and strong knowledge of Modern C++ and Python (preferred)
- Artificial Intelligence (deep learning, reinforcement learning)
- System Modeling
- Statistics and State Estimation
- Search Strategies (mcts, dfs, etc.)
- 5+ years of relevant Industry or Research experience
- Constraint Satisfaction Problems
- Operations Research
- Familiarity with multiple of the following:
- Motion Planning
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