Senior ML Engineer: Autonomous Localization & Sensor Fusion

torcrobotics

Stati Uniti

Ibrido

USD 177.000 - 213.000

Tempo pieno

14 giorni+

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Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

Bonus and stock options
Health premiums paid for employees
401(k) with employer match
Generous PTO & holidays

Descrizione del lavoro

Torc Robotics is seeking a senior engineer to advance real-time ego-motion estimation, localization, and sensor fusion across camera, LiDAR, radar, and other inputs. You’ll blend ML with production software to support safe autonomous trucking systems.

You’ll design, train, and deploy ML models, build scalable training workflows, and improve state estimation under challenging conditions. A strong C++/Python background and teamwork with cross-functional robotics teams are essential.

Competenze

  • Bachelor's degree in computer science, software engineering, robotics, or related field with 6+ years of relevant industry experience, or Master's with 3+ years, or PhD with 1+ year.
  • Hands-on experience with autonomous vehicle or robotics localization systems such as LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation
  • Track record of developing and deploying ML models for perception, localization, or sensor fusion domains
  • Strong proficiency with PyTorch and modern ML tooling for training, inference, and optimization
  • Solid grounding in 3D geometry, probabilistic estimation, coordinate transforms, and core robotics fundamentals
  • Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance work

Mansioni

  • Design, train, and deploy ML models for ego-motion estimation and multi-sensor fusion across camera, LiDAR, radar inputs.
  • Build scalable training and evaluation workflows using PyTorch and distributed infrastructure over large driving datasets.
  • Improve state estimation and sensor fusion algorithms for robust pose, velocity, and acceleration outputs.
  • Analyze fleet-scale vehicle data to characterize performance and drive model and system improvements.
  • Ship production-quality software in C++ and Python across the full lifecycle, including verification and validation.
  • Mentor peers, lead design and code reviews, and collaborate with perception, mapping, planning, controls, and platform teams.

Conoscenze

PyTorch
Python
C++
Robotics fundamentals
3D geometry
Probabilistic estimation
Localization systems
Machine Learning
Sensor fusion

Formazione

Bachelor's degree in CS / software engineering / robotics
Master's degree
PhD

Strumenti

PyTorch
Ray
Kubernetes

Descrizione del lavoro

Torc Robotics is seeking a senior engineer to advance real-time ego-motion estimation, localization, and sensor fusion across camera, LiDAR, radar, and other inputs. You’ll blend ML with production software to support safe autonomous trucking systems.

You’ll design, train, and deploy ML models, build scalable training workflows, and improve state estimation under challenging conditions. A strong C++/Python background and teamwork with cross-functional robotics teams are essential.

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