Senior Software Engineer - Perception

Applied Industrial Technologies
Tokyo
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["End-to-end ownership","Collaboration","Problem solving"]

Build the perception system for L4 autonomous trucks on the Autonomy team, owning problems end-to-end from model architecture and training through onboard deployment and on-road validation. Develop and deploy deep learning models for multi-sensor 3D object detection (LiDAR, camera, radar), create multi-sensor fusion architectures, analyze failure modes, and operate a data engine with shadow-mode comparisons and retraining loops in a safety-critical pipeline.

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FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
1 month ago

Senior Software Engineer - Perception

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build the perception system for L4 autonomous trucks on the Autonomy team, owning problems end-to-end from model architecture and training through onboard deployment and on-road validation. Develop and deploy deep learning models for multi-sensor 3D object detection (LiDAR, camera, radar), create multi-sensor fusion architectures, analyze failure modes, and operate a data engine with shadow-mode comparisons and retraining loops in a safety-critical pipeline.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, train, and deploy deep learning models for 3D object detection across LiDAR, camera, and radar sensors.
  • •Build multi-sensor fusion architectures combining independent detection and classification streams.
  • •Characterize perception failure modes and build targeted evaluation sets and system-level metrics.
  • •Build and operate the data engine using shadow-mode comparison, automated data mining, and retraining loops.
  • •Carry work through the full safety validation pipeline before deployment on public roads.

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • •5+ years of professional experience in ML-based perception, computer vision, or robotics.
  • •Strong proficiency in Python and C++.
  • •Hands-on experience training and deploying deep learning models in production (e.g., PyTorch).
  • •Solid grounding in classical perception, including multi-object tracking, state estimation, and 3D geometry.
Experience:5+ yearsRoboticsComputer visionAutonomous systems
Education:
Skills:End-to-end ownershipCollaborationProblem solving
Tech Stack:PythonC++PyTorchDeep learningMulti-modal 3D detectionBEV representationsLearned trackingState estimationMulti-object trackingSensor fusionLiDARCameraRadarOnboard/embedded GPU inferenceData engineShadow-mode comparison

Company Brief

Applied Industrial Technologies
Builds software tools for autonomous vehicle development, including simulation, validation, and data infrastructure for automakers and robotics teams. Also supports defense applications with autonomy-focused testing and deployment platforms.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2017
WebsiteLinkedIn