Lead Algorithms Engineer

Dexterity; Redwood City (CA); Vor Ort; USD 180.000 - 230.000; Vollzeit

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

C++

Python

Machine Learning

Reinforcement Learning

Robotics

Optimization

State Estimation

Search Strategies

Software Architecture

Ausbildung

BS in Computer Science, Electrical Engineering, or Mathematics

Tools

Linux

Git

Jobbeschreibung

• 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