ADAS Algorithm Integration Engineer (IC Role)This role focuses on hands-on integration, debugging, optimization, and validation of ADAS algorithms on real embedded hardware with minimal dependency on algorithm developers. We are seeking a senior ADAS Algorithm Integration Engineer (Individual Contributor) with strong understanding of ADAS perception and planning pipelines and deep hands-on experience integrating ADAS algorithms into production automotive ECUs.In your daily job you will: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. Familiarity with QNX Momentics is a plus, but not a required skill.Key skills and competencies for succeeding in this role are: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.Must be legally able to work in the U.S.
without requirement of any type of visa sponsorship or transfer, now, or at any time in the future.Preferred SkillsExperience 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/BazelYour benefits at Aptiv:Private health care effective day 1 of employmentLife and accident insurancePaid Time Off (Holidays, Vacation, Designated time off, Parental leave)Relocation assistance may be availableLearning and development opportunitiesDiscount programs with various manufacturers and retailersRecognition for innovation and excellenceOpportunities to give back to the communityTuition ReimbursementAptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.