ADAS Algorithm Developer

Aptiv; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Relocation assistance

Learning and development opportunities

Competitive health coverage

Job summary

Aptiv in Troy, Michigan is seeking an ADAS Algorithm Developer to craft feature control logic and state architecture for ADAS and automated driving. You will collaborate with systems, software, calibration, and validation teams to deliver robust customer-ready features.

The role emphasizes state machines, mode management, and safety considerations, with opportunities to influence design from requirements to verification in a fast-paced automotive environment.

Qualifications

• Master's degree in Electrical/Computer/Mechanical Engineering, Robotics, or related field.
• 2+ years of experience in ADAS, Automated Driving, or automotive control systems.
• Proficiency in MATLAB, Simulink, and Stateflow for algorithm design.
• Experience designing state machines, decision logic, or event-driven control.
• Knowledge of vehicle dynamics and control theory.
• Strong problem-solving and cross-functional collaboration skills.

Responsibilities

• Develop mode management algorithms for ADAS and Automated Driving applications.
• Design and implement Stateflow-based state machines governing feature engagement and takeover.
• Develop feature arbitration and coordination logic across multiple ADAS functions.
• Define operational logic for system degradation, fault handling, and driver notification.
• Translate requirements into deployable algorithm designs.
• Verify and optimize algorithm performance using simulation and vehicle testing.
• Investigate real-world events and analyze data to improve behavior.
• Support functional safety and SOTIF activities with safety monitoring.
• Collaborate with systems, software, calibration, validation and HMI teams.
• Document designs, verification results, and development artifacts.

Skills

Stateflow

State machines design

Algorithm development

MATLAB

Simulink

Python

C/C++

Education

Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Computer Science, or a related field

Tools

MATLAB

Simulink

Stateflow

C/C++

Python

Job description

SUMMARY

We are currently looking for an ADAS Algorithm Developer to join our team in Troy, Michigan. The successful candidate will be responsible for developing the feature control logic, state management, and behavioral architecture for Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) functions. This role involves defining how ADAS features engage, operate, interact, degrade, and disengage under various driving conditions to deliver safe, intuitive, and robust customer experiences. The candidate will collaborate closely with systems, software, calibration, integration, safety, and validation teams throughout the product development lifecycle.

Responsibilities and Duties

• Develop mode management algorithms for ADAS and Automated Driving applications such as Adaptive Cruise Control (ACC), Intelligent Speed Assistance (ISA), Collision Avoidance, Lane Keeping Assist, and Hands-Off Highway Assist.
• Design and implement Stateflow-based state machines governing feature engagement, disengagement, feature transitions, and driver takeover behavior.
• Develop feature arbitration and coordination logic across multiple ADAS functions to ensure predictable and safe vehicle behavior.
• Define operational logic for system degradation, fallback strategies, fault handling, and driver notification mechanisms.
• Translate vehicle-level and system-level requirements into deployable algorithm designs.
• Verify and optimize algorithm performance using simulation, resimulation, and vehicle testing activities.
• Investigate real-world driving events and perform data analysis to evaluate algorithm behavior and identify opportunities for improvement.
• Support functional safety and SOTIF activities by implementing safety-related monitoring and operational safeguards.
• Collaborate with systems, software, integration, calibration, validation, and HMI teams to deliver customer-ready features.
• Document algorithm designs, verification results, technical decisions, and development artifacts according to established engineering processes.

Need to Haves (Basic Qualifications)

• Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Computer Science, or a related field.
• 2+ years of experience in ADAS, Automated Driving, or automotive control system development.
• Proficiency in MATLAB, Simulink, and Stateflow for algorithm design and implementation.
• Experience developing state machines, decision logic, or event-driven control architectures.
• Knowledge of vehicle dynamics, control theory, and systems engineering principles.
• Experience analyzing test data and troubleshooting complex system behaviors.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Nice to Haves (Preferred Qualifications)

• PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, or a related field.
• 5+ years of experience developing ADAS or Automated Driving systems.
• Experience developing L2+ ADAS or Automated Driving features.
• Experience designing feature engagement, disengagement, arbitration, takeover, and fallback strategies.
• Working knowledge of ASPICE, ISO 26262, SOTIF, and Agile development processes.
• Experience with requirements management and traceability tools such as DOORS, Polarion, or Codebeamer.
• Experience with Model-Based Design, automatic code generation, and MIL/SIL/HIL verification workflows.
• Experience with simulation and scenario-based validation tools such as CarMaker, CarSim, or similar environments.
• Experience performing resimulation and analysis of real-world driving data.
• Experience with version control systems, JIRA, and configuration management tools.
• Programming experience in C, C++, and Python.
• Experience with rapid prototyping platforms such as dSPACE and ControlDesk.
• Experience with data analysis and calibration tools such as CANoe, CANape, ETAS INCA, or similar platforms.
• Understanding of driver interaction concepts, HMI integration, and customer experience considerations for ADAS features.
• Knowledge of statistical methods, system performance evaluation, and root-cause analysis techniques.

WHY JOIN US?

You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

YOUR BENEFITS AT APTIV:

• Private health care effective day 1 of employment
• Life and accident insurance
• Paid Time Off (Holidays, Vacation and 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

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv 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. Aptiv is a global industrial technology company enabling automated, electrified and digitalized solutions across multiple end markets. People trust us to deliver innovations that will help them progress, improve and achieve more tomorrow than they did yesterday. To Learn more visit aptiv.com Please review Aptiv's privacy policy by following this link: https://www.aptiv.com/privacy-notice