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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