The engineer will work closely with algorithm, software, systems, validation, and vehicle integration teams to solve challenging perception, localization, sensor-fusion, state-estimation, threat-assessment, and planning problems. This position will support global L0-L3 autonomous-driving programs and drive technical initiatives from concept through production deployment while following a rigorous V-cycle and safety-focused development process.
Responsibilities and Duties
Develop perception, localization, prediction, planning, sensor-fusion, state-estimation, and threat-assessment algorithms for autonomous-driving and parking functions.
Design, integrate, test, and release production software and algorithms for internal and external customers.
Develop and deploy machine-learning algorithms using Python and frameworks such as PyTorch and/or TensorFlow.
Design, implement, and maintain scalable ML training, evaluation, and data-processing pipelines.
Work with large-scale datasets to improve model performance, robustness, and generalization.
Develop and optimize modern deep-learning models, including Transformer-based neural networks.
Validate algorithms through simulation, laboratory testing, proving-ground evaluation, real-vehicle testing, and real-road testing.
Improve algorithm performance across diverse environments, operating conditions, vehicle platforms, and global customer programs.
Perform root-cause analysis of model failures, missed detections, false detections, performance regressions, and safety-related issues.
Use data-centric methods, including data-quality improvement, dataset balancing, scenario coverage, labeling strategy, and targeted data collection, to improve model performance.
Develop algorithms for parking-space recognition, parking-line detection, object recognition, obstacle detection, localization, vehicle alignment, and parking control.
Support state estimation and threat assessment for safe and reliable autonomous-driving operations.
Investigate challenging perception and sensor-fusion problems involving cameras, ultrasonic sensors, radar, lidar, and other vehicle sensors.
Design and execute functional-performance tests and confirm compliance with system and customer requirements.
Apply a disciplined V-cycle development process to support safety-critical automotive software and electronics.
Collaborate with downstream software, systems, validation, and integration teams to support globally deployed L0-L3 autonomous-driving systems.
Work in Linux development environments using Git-based workflows, code reviews, automated testing, and CI/CD practices.
Support cloud-native or AWS-based ML infrastructure and scalable platforms used by multiple engineering teams.
Drive technical initiatives from initial concept and experimentation through algorithm maturation, vehicle integration, validation, and production deployment.
Communicate technical findings clearly and work analytically, creatively, and collaboratively to resolve complex engineering problems
Must Have (Basic Qualifications)
Education
Master's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Applied Mathematics, or equivalent.
8+ years of industry experience developing production software and algorithms.
PhD may substitute for a portion of experience.
Machine Learning
5+ years hands-on experience developing and deploying machine learning algorithms.
Strong understanding of
supervised learning
deep learning
model evaluation
dataset development
error analysis
Experience with PyTorch and/or TensorFlow.
Software Development
Strong Python development experience.
Experience building scalable software systems.
Experience working in Linux development environments.
Proficiency with Git-based development workflows and CI/CD practices.
Data & Training Pipelines
Experience designing, implementing, or maintaining ML training pipelines.
Experience with large-scale datasets and data processing workflows.
Experience performing root-cause analysis of model failures and performance regressions.
Cross-Functional Execution
Experience working with algorithm, software, systems, and validation teams.
Demonstrated ability to drive technical initiatives from concept through production deployment.
Prefer to Have (Preferred Qualifications)
Modern Deep Learning
Experience developing Transformer-based neural networks.
Experience with
Vision Transformers
Multi-modal architectures
Foundation Models
Generative AI techniques
Experience optimizing and scaling large-model training.
Autonomous Driving / Robotics
Experience developing perception, prediction, localization, planning, or sensor-fusion algorithms.
Experience working with
camera
radar
lidar
ultrasonic
vehicle signals
Experience shipping production ADAS or autonomous-driving features.
MLOps & Cloud Infrastructure
Experience with AWS or cloud-native ML infrastructure.
Experience with
experiment tracking
model registry
automated retraining
model deployment pipelines
continuous evaluation
Experience building scalable ML platforms used by multiple teams.
Data-Centric AI
Experience with
annotation workflows
active learning
synthetic data generation
data quality metrics
scenario mining
Experience improving model performance through data strategy rather than architecture changes alone.
Sensor Fusion and Localization
Experience with
sensor fusion
probabilistic estimation
Kalman filtering
SLAM
factor graph optimization
Traits We Seek
Curiously investigate everything – ability to solving problems analytically, creatively and collaboratively
Seriously execute V-cycle procedure – a mindset to develop safety electronics to enhance driving safety
Learn by doing – an entrepreneurial mindset that’s driven by hands-on experimentation
Embrace resilience – seeing every challenge as a learning opportunity and invitation to grow
Aptiv Rewards and Advantages
Competitive compensation with bonus potential
Competitive health benefits
401K with matching contribution
Learning and development opportunities
Discount programs with various manufacturers and retailers
Recognition for innovation and excellence
Opportunities to give back to the community
Meaningful work that makes a difference in the world
Relocation assistance (if applicable)
YOUR BENEFITS AT APTIV
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
APPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!
“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”
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.
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.
