Senior Robotics Manipulation Engineer

ZipRecruiter; Cambridge; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading company in AI Robotics seeks a Senior Robotics Manipulation Engineer in Cambridge. You will work on developing control algorithms and optimizing robotic systems for efficient training. Join a dynamic environment pushing the limits of robotics and AI technology.

Qualifications

• Solid understanding of control theory focused on manipulation and locomotion tasks.
• Proficiency in Python/C++ along with deep learning frameworks like PyTorch.
• Extensive experience with GPU programming and GPU-accelerated libraries.

Responsibilities

• Contribute to the development of Robot Simulation Framework and AI Robotic Infrastructure.
• Develop control algorithms translating simulated environments to real-world behavior.
• Enhance efficiency of machine learning models through optimization methods.

Skills

Control theory

Python

C++

Deep learning frameworks

GPU programming

Robotics simulation

Job description

Job DescriptionSenior Robotics ManipulationEngineer
Salary: up to £125,000
Location:Cambridge

The Companies Long Term Vision: Turn AI Robotics on its head.

About Us:
Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.

The Challenge:
Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.

As a Senior Robotics Control Engineer, you will:

• Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.
• Develop control algorithms that effectively translate simulated environments to real-world robot behavior.
• Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.
• Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.
  
  

Qualifications:

• Solid understanding of control theory, with a focus on manipulation and locomotion tasks.
• Proficiency in Python/C++ and deep learning frameworks like PyTorch.
• Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.
• Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.
• Experience working with physical robots is beneficial.
• Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.
  
  

If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!