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ADAS Algorithm Integration Engineer

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Aptiv plc

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Location:
United States , Troy

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This role focuses on hands-on integration, debugging, optimization, and validation of ADAS algorithms on real embedded hardware with minimal dependency on algorithm developers.

Job Responsibility:

  • Integrate perception, fusion, localization, and planning algorithms into automotive ADAS platforms
  • Independently analyze algorithm data flows, state machines, and outputs to debug functional and performance issues
  • Redesign memory layouts, buffers, stack/heap usage, and partitioning to fit PoC algorithms into production ECUs
  • Analyze and optimize RAM/ROM usage, cache behavior, memory bandwidth, and DMA strategies
  • Investigate timing overruns, jitter, latency, and execution bottlenecks
  • Optimize scheduling, task priorities, and IPC using AUTOSAR OS or QNX
  • Define embedded constraints for algorithms including CPU budgets, memory limits, execution deadlines, and interface contracts
  • Work closely with base software teams on AUTOSAR Classic/Adaptive, QNX, BSPs, and middleware
  • Perform deep debugging using Trace32, Vector CANoe/CANalyzer, GDB, and profiling tools

Requirements:

  • Bachelor’s or Master’s degree in EE, CE, CS, Robotics, or related field
  • 5+ years of experience in ADAS or embedded automotive software
  • Strong understanding of ADAS domains including perception, fusion, localization, and planning
  • Hands-on experience with C/C++ and Python
  • Experience with AUTOSAR (Classic or Adaptive) and/or QNX
  • Strong background in embedded memory and timing optimization
  • Experience debugging complex automotive ECUs
  • Exposure to SIL/HIL and vehicle testing environments

Nice to have:

  • Experience with camera, radar, and lidar sensor integration
  • Knowledge of middleware such as DDS, SOME-IP, or RTPS
  • Familiarity with ISO 26262, ASPICE, and automotive cybersecurity
  • Experience with Git, Jenkins, and CMake/Bazel
What we offer:
  • Private health care effective day 1 of employment
  • Life and accident insurance
  • Paid Time Off (Holidays, Vacation, Designated time off, Parental leave)
  • Relocation assistance may be available
  • Learning and development opportunities
  • Discount programs with various manufacturers and retailers
  • Recognition for innovation and excellence
  • Opportunities to give back to the community
  • Tuition Reimbursement

Additional Information:

Job Posted:
February 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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