Senior ML Engineer Real-Time Tracking for Autonomous Trucks

torcrobotics; Stati Uniti; Remoto; USD 177.000 - 213.000; Tempo pieno

Vantaggi offerti da questo lavoro

Stock options

Bonus

Medical, dental, and vision premiums 内

Descrizione del lavoro

torcrobotics is seeking a senior engineering leader for its autonomous trucking tracking team to build ML models and state estimation for real-time tracking of road actors. The role spans research to production with sensor fusion across cameras, LiDAR, radar and other vehicle sensors.

You will lead design and deployment of multi-object tracking, sensor fusion, and perception software using PyTorch, C++, and Python, mentoring through reviews and code quality.

Competenze

• 6+ years in industry, or 3+ with a Master's, or 1+ with a PhD.
• Experience with autonomous vehicle perception systems (tracking, detection, SLAM).
• Strong ML deployment experience for perception or sensor fusion.
• Proficiency with PyTorch and ML tooling for training/inference.

Mansioni

• Design, develop, and deploy production ML models for multi-object tracking and sensor fusion.
• Build scalable training/evaluation workflows using PyTorch and large datasets.
• Improve tracking and sensor fusion algorithms for pose and kinematics.
• Analyse large-scale vehicle data to characterize performance and failure modes.
• Develop production software in C++ and Python across lifecycle.
• Define evaluation/verification strategies for tracking quality and safety.
• Collaborate with perception, mapping, planning, controls, and platform teams.

Conoscenze

PyTorch

Python

C++

Robotics basics

Sensor fusion

3D geometry

Probabilistic estimation

ML deployment

Large multimodal data

Formazione

Bachelor's in CS/SE/Robotics or related field

Master's degree

PhD with 1+ year

Strumenti

Ray

Kubernetes

Distributed training infra

Descrizione del lavoro

torcrobotics is seeking a senior engineering leader for its autonomous trucking tracking team to build ML models and state estimation for real-time tracking of road actors. The role spans research to production with sensor fusion across cameras, LiDAR, radar and other vehicle sensors.

You will lead design and deployment of multi-object tracking, sensor fusion, and perception software using PyTorch, C++, and Python, mentoring through reviews and code quality.