Perception Engineer

JR United Kingdom; Bristol; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company is seeking a Perception Engineer to drive the development of robot manipulation systems. This role involves designing and deploying perception pipelines using cutting-edge technologies and collaborating cross-functionally. Ideal candidates possess a strong background in robotics and computer vision, and have experience publishing in top-tier venues.

Benefits

Competitive salary, equity, and performance bonus

Comprehensive health, dental, and vision coverage

Annual conference budget & dedicated research time

Flexible hours and hybrid/remote-friendly culture

State-of-the-art lab space

Qualifications

• 3+ years experience in real-time perception systems.
• Strong publication record in top-tier venues.
• Proficient in modern C++17/20 and Python.

Responsibilities

• Develop high-performance perception pipelines for robots.
• Research and benchmark algorithms in 2D/3D vision.
• Collaborate with teams for production-quality releases.

Skills

Python

C++

Deep Learning

Robotics

Computer Vision

Machine Learning

Education

PhD in Robotics, Computer Vision, or Machine Learning

Tools

ROS 2

PyTorch

CUDA

Job description

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Job Title: Perception Engineer – Real-Time Manipulation Robotics

Location: Bristol, UK (Hybrid for top talent)

Employment Type: Full-time, Permanent

About the Role

We’re building the next generation of robot manipulation systems for unstructured, real-world environments. As a Perception Engineer, you will design, prototype, and deploy high-performance perception pipelines that enable our robots to see, understand, and dexterously interact with the world-in real time. You’ll sit at the intersection of academia and product, translating state-of-the-art research into production-ready software running on ROS 2 based platforms.

What You’ll Do

• Own the real-time perception stack for robotic manipulation tasks, from sensor acquisition through to fused 3-D scene understanding and grasp/placement proposals.
• Research, prototype, and benchmark novel algorithms in 2-D/3-D vision, multi-modal fusion, and dense correspondence that push manipulation speed and reliability.
• Implement, optimize, and profile deep-learning models in PyTorch and C++ (CUDA) to meet strict latency budgets on embedded GPUs/accelerators.
• Integrate perception modules in ROS 2, ensuring clean interfaces, deterministic scheduling, and robust failure handling.
• Conduct rigorous real-world and simulated experiments, and communicate results through clear technical reports and publications (internal and external).
• Collaborate cross-functionally with controls, planning, and hardware teams to close perception–action loops and ship production-quality releases.

Minimum Qualifications

• PhD (or outstanding Master’s + equivalent publications) in Robotics, Computer Vision, Machine Learning, or a closely related field.
• 3+ years hands-on experience building real-time perception systems for robot manipulation or autonomous platforms.
• Advanced proficiency in Python and modern C++17/20; proven track record writing clean, testable, high-performance code.
• Deep expertise with PyTorch (training & inference) and GPU programming (CUDA, TensorRT, or similar).
• Production experience with ROS 2 (rclcpp/rclpy, lifecycle nodes, DDS tuning, real-time QoS).
• Strong publication record in top-tier venues (e.g., RSS, ICRA, CoRL, CVPR, RAL).

Preferred Qualifications

• Track record shipping perception on manipulation platforms (e.g., mobile manipulators, bin-picking arms, industrial cobots).
• Familiarity with multi-sensor calibration, tactile or force perception, depth cameras (D-ToF, active stereo), and point-cloud processing (PCL, Open3D).
• Experience deploying on-device inference for NVIDIA Jetson/Orin, Intel ARC, or similar edge accelerators.
• Contributions to open-source robotics or vision libraries.
• Comfortable working in an agile, research-driven environment with fast iteration cycles.

What We Offer

• Competitive salary, equity, and performance bonus.
• Comprehensive health, dental, and vision coverage.
• Annual conference budget & dedicated research time.
• Flexible hours and hybrid/remote-friendly culture.
• State-of-the-art lab space with collaborative, cross-disciplinary teams.