Senior Autonomy Software Engineer – Real-Time Perception (Rail)

parallel

Los Angeles (CA)

Sur place

USD 120 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

Parallel Systems is seeking a Senior Robotics Software Engineer to develop perception and sensor fusion for autonomous, battery-electric rail vehicles. You will fuse lidar, camera, IMU, GPS data and implement geometry-based CV/robotics algorithms for real-time perception.

Joining the team means collaborating with ML, firmware, embedded platform, and systems engineers to deploy robust perception and sensor fusion solutions across production deployments.

Qualifications

  • Bachelor's degree or higher in robotics, CS, or electrical engineering.
  • 4+ years hands-on experience developing and deploying robotics/perception software.
  • Strong background in geometry-based computer vision and robotics algorithms; ML exposure is a bonus.
  • Proficiency in Rust and C/C++ and experience with real-time systems.

Responsabilités

  • Build and maintain real-time robotics software that ingests and fuses high-throughput, multi-modal sensor data.
  • Implement, validate, and test real-time sensor fusion across simulation and field deployments.
  • Perform sensor calibration and apply linear algebra, 3D geometry, and optimization to state estimation.
  • Design geometry-based computer vision and robotics algorithms for real-time perception; ML experience is a bonus.
  • Collaborate with ML, firmware, embedded platform, and systems engineers to integrate perception into the autonomy stack.

Connaissances

Rust
C/C++
Real-time systems
Sensor data fusion
Robotics
Computer vision

Formation

Bachelor's degree or higher in Robotics, CS, or EE

Outils

ROS2
GStreamer
SLAM

Description du poste

Parallel Systems is seeking a Senior Robotics Software Engineer to develop perception and sensor fusion for autonomous, battery-electric rail vehicles. You will fuse lidar, camera, IMU, GPS data and implement geometry-based CV/robotics algorithms for real-time perception.

Joining the team means collaborating with ML, firmware, embedded platform, and systems engineers to deploy robust perception and sensor fusion solutions across production deployments.

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