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Lead Algorithms Engineer

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Onsite

Lead Algorithms Engineer

Dexterity, Inc.

Lead Algorithms Engineer

Skills

Deep LearningPythonMachine LearningAILinux

4 years ago

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Important information


Salary:

$150,000 – $190,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


Who you are

  • Degree in Computer Science, Electrical Engineering, or Mathematics and strong knowledge of Modern C++ and Python (preferred)
  • 5+ years of relevant Industry or Research experience
  • Familiarity with Linux and git versioning
  • Familiarity with multiple of the following:
  • Optimization (convex, mip, non-convex)
  • Artificial Intelligence (deep learning, reinforcement learning)
  • Search Strategies (mcts, dfs, etc.)
  • System Modeling
  • Constraint Satisfaction Problems
  • Statistics and State Estimation
  • Operations Research
  • Motion Planning

What the job involves

  • 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

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