Engineer Manager - Perception, Self-Driving Systems

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceSkills: ["Leadership","Communication","Problem-solving","Collaboration","Mentorship"]

Lead the end-to-end development of the perception model for autonomous driving, overseeing architecture, training, evaluation, and deployment across geographies and vehicle platforms. Drive a camera-first perception strategy, manage data-driven iteration, and supervise a team of perception engineers to deliver robust, real-time vision systems on embedded hardware.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
3 months ago

Engineer Manager - Perception, Self-Driving Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead the end-to-end development of the perception model for autonomous driving, overseeing architecture, training, evaluation, and deployment across geographies and vehicle platforms. Drive a camera-first perception strategy, manage data-driven iteration, and supervise a team of perception engineers to deliver robust, real-time vision systems on embedded hardware.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Own the perception model end-to-end: architecture, training, evaluation, and deployment across geographies, road types, and sensor setups.
  • •Drive a camera-first perception strategy to reduce dependencies on HD maps and lidar.
  • •Lead training and iteration cycles with hands-on involvement in data, dashboards, and failure analysis to fix performance across new geographies/road types.
  • •Own model performance across the full deployment surface (highway, urban, residential, ramps, complex intersections, poor weather, hilly terrain).
  • •Manage the model lifecycle from training through quantization and deployment on embedded compute, aligning offboard and onboard performance

Pay and Benefits

Perks:Health InsuranceDentalVision401kLife InsuranceWellness StipendLearning Budget

Key Requirements

  • •5+ years in ML/deep learning for perception or 3D scene understanding with hands-on training and deployment of vision models at scale
  • •2+ years managing or technically leading a perception team, with ability to set direction and contribute to architecture/training decisions
  • •Experience building production perception systems, especially camera-only or camera-first solutions
  • •Track record deploying perception models to embedded hardware under real-time latency and compute constraints, including device-specific optimizations
  • •Strong software engineering in Python and C++, comfortable across the stack from training code to onboard inference integration
Experience:Autonomous vehiclesSDSMachine learningPerception
Skills:LeadershipCommunicationProblem-solvingCollaborationMentorship
Languages:English
Tech Stack:PythonC++EmbeddedOnboard inferenceTrainingQuantization

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