Real-Time Perception & Vision Systems Engineer

Real-Time Perception & Vision Systems Engineer

Full-Time 81000 - 99000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead high-performance imaging pipelines for cutting-edge interceptor drone seekers.
  • Company: Join MARSS Group, a leader in autonomous systems based in Bristol.
  • Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
  • Other info: Dynamic team environment with exciting projects and career growth potential.
  • Why this job: Make a real impact in the future of drone technology and autonomous systems.
  • Qualifications: Experience with ROS2, GStreamer, and NVIDIA Jetson is a plus.

The predicted salary is between 81000 - 99000 Β£ per year.

MARSS Group is seeking a Perception & Autonomous Systems Engineer in Bristol to lead high-performance imaging pipelines for interceptor drone seekers.

You will optimize real-time vision workflows from camera drivers to CUDA-accelerated detection and tracking, ensuring stable state estimates for guidance systems.

The role emphasizes ROS2, GStreamer, and NVIDIA Jetson-based deployment, with focus on low-latency, high-throughput processing, and hardware-aware software design.

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Real-Time Perception & Vision Systems Engineer employer: MARSS Group

The MARSS Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of technology and security. With opportunities for professional growth and the chance to engage in meaningful projects that protect lives globally, employees benefit from a flexible remote working environment and the potential for international travel. Joining MARSS means being part of a forward-thinking team dedicated to making a significant impact in defence and security.

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Contact Details:

MARSS Group Recruitment Team

We think you need these skills to ace Real-Time Perception & Vision Systems Engineer

Real-Time Vision Processing
CUDA Programming
ROS2
GStreamer
NVIDIA Jetson Deployment
Imaging Pipeline Optimization
Low-Latency Processing