Perception Software Engineer - Remote

Overview

This role focuses on developing advanced machine learning and perception systems for real-world autonomous mobility, working with a multidisciplinary team to create efficient, real-time perception models.

In Short

• Design and implement real-time, onboard, multimodal perception models.
• Fine-tune deep learning models for performance on embedded hardware.
• Develop custom CUDA kernels and TensorRT plugins.
• Lead R&D in multiview sensor fusion and scene understanding.
• Manage complex datasets from multi-agent autonomous systems.
• Document and present findings to contribute to team knowledge.
• Influence safety-critical systems in urban mobility.
• Work with camera, radar, and lidar data.
• Optimize model inference on embedded systems.
• Help transform urban transit solutions.

Requirements

• Experience in machine learning and perception systems.
• Proficiency in deep learning frameworks.
• Knowledge of CUDA and TensorRT.
• Experience with sensor fusion techniques.
• Strong programming skills, particularly in Python and C++.
• Ability to work in a multidisciplinary team.
• Experience with embedded systems.
• Strong analytical and problem-solving skills.
• Excellent communication skills.
• Experience with anomaly detection methods.

Benefits

• Opportunity to work on cutting-edge technology.
• Collaborative and innovative work environment.
• Flexible working hours.
• Remote work options.
• Professional development opportunities.
• Impact on safety-critical systems.
• Participation in publications and knowledge sharing.
• Competitive compensation.
• Health and wellness benefits.
• Dynamic team culture.