Senior Lead Algorithms Engineer — Robotics & Planning

Dexterity; Redwood City (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Dexterity is seeking a Senior Lead Algorithms Engineer in California to tackle robot task and action planning using ML, optimization, and planning techniques. The role involves advancing Dexterity’s foundations by exploring reinforcement learning, motion planning, and state estimation while collaborating with cross-functional teams.

You will integrate multimodal sensor data, develop robust world models, and deploy software to production environments, guiding software design and system-level

Qualifications

• Degree in Computer Science, Electrical Engineering, or Mathematics.
• 5+ years of relevant industry or research experience.
• Strong knowledge of Modern C++ and Python.
• Experience with AI, deep learning and reinforcement learning.
• Familiarity with Linux and git versioning.
• Proficiency in motion planning and robotics.

Responsibilities

• Develop and maintain high-quality, scalable algorithms for robot task and action planning.
• Collaborate with roboticists, ML engineers, mechanical engineers and product managers to find optimal solutions.
• Build and maintain software with a focus on performance and reliability.
• Test, deploy and monitor algorithms, integrating with existing software infra.
• Develop accurate models of robotics systems and improve the internal world model.

Skills

C++

Python

Machine Learning

Reinforcement Learning

Robotics

Optimization

State Estimation

Search Strategies

Software Architecture

Education

BS in Computer Science, Electrical Engineering, or Mathematics

Tools

Linux

Git

Job description

Dexterity is seeking a Senior Lead Algorithms Engineer in California to tackle robot task and action planning using ML, optimization, and planning techniques. The role involves advancing Dexterity’s foundations by exploring reinforcement learning, motion planning, and state estimation while collaborating with cross-functional teams.

You will integrate multimodal sensor data, develop robust world models, and deploy software to production environments, guiding software design and system-level