Sr Staff Perception Engineer (Autonomous Systems)

Location: Remote across Europe / US

Company

A well-funded autonomy company developing self-driving technology for complex real-world environments and deploying autonomous systems in live operational settings.

What you will do

• Architect and develop 2D and 3D perception systems using camera, LiDAR, and radar.
• Work across sensing, preprocessing, detection, tracking, and multimodal fusion.
• Develop and deploy machine-learning models that operate reliably in real-world environments.
• Improve data collection, dataset generation, and evaluation infrastructure.
• Investigate system limitations, improve performance and robustness, and shape the longer-term perception roadmap.
• Lead technically complex projects, mentor engineers, and contribute to engineering and ML best practices.

Requirements

• Significant industry experience building production perception systems for autonomous vehicles, robotics, or other real-world autonomous platforms.
• Strong knowledge of camera, LiDAR, radar, or multimodal perception.
• Experience architecting complete systems rather than only developing individual models.
• Strong Python and modern machine-learning experience.
• Understanding of the full perception lifecycle, from sensors and data through training, evaluation, and deployment.
• Experience diagnosing real-world failure modes and improving system robustness.
• Ability to provide technical direction while remaining hands-on.

Nice to have

• Deep learning for 3D perception, multi-object tracking, sensor fusion, large-scale perception datasets, or ML deployment and optimization.
• C++ experience.
• Research publications in computer vision, robotics, or machine learning.

Culture & Benefits

• Permanent, full-time position with remote work across Europe and the US.
• Highly competitive salary and equity.
• Senior technical scope with influence over perception architecture and direction while remaining hands-on.
• Opportunity to work across sensing, machine learning, data, evaluation, and production deployment.

Hiring process

• Apply with a CV.
• Where possible, highlight a perception system personally architected, deployed, or significantly influenced, including the sensors involved, areas of ownership, and challenges encountered in real-world operation.