21 hours ago
Responsibilities
- 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, PyTorch, and/or TensorFlow.
- Design, implement, and maintain scalable ML training, evaluation, and data-processing pipelines.
- Improve model performance using large-scale datasets, data-quality improvement, dataset balancing, scenario coverage, labeling strategies, and targeted data collection.
- Validate algorithms through simulation, laboratory testing, proving-ground evaluation, real-vehicle testing, and real-road testing.
- Perform root-cause analysis of model failures, missed detections, false detections, regressions, and safety-related issues.
- Develop parking-space recognition, parking-line detection, object recognition, obstacle detection, localization, vehicle-alignment, and parking-control algorithms.
- Investigate perception and sensor-fusion problems involving cameras, ultrasonic sensors, radar, lidar, and other vehicle sensors.
- Execute functional-performance tests and confirm compliance with system and customer requirements.
- Collaborate with algorithm, software, systems, validation, and vehicle-integration teams on globally deployed L0-L3 autonomous-driving programs.
- Drive technical initiatives from concept and experimentation through algorithm maturation, vehicle integration, validation, and production deployment.
- Work in Linux using Git-based workflows, code reviews, automated testing, and CI/CD practices.
- Support AWS-based or cloud-native ML infrastructure and scalable platforms used by multiple engineering teams.
Requirements
- Master's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Applied Mathematics, or equivalent; a PhD may substitute for a portion of experience.
- 8+ years of industry experience developing production software and algorithms.
- 5+ years of hands-on experience developing and deploying machine-learning algorithms.
- Strong understanding of supervised learning, deep learning, model evaluation, dataset development, and error analysis.
- Experience with PyTorch and/or TensorFlow, Python development, scalable software systems, Linux, and Git-based development workflows.
- Experience designing, implementing, or maintaining ML training pipelines and working with large-scale datasets and data-processing workflows.
- Experience analyzing model failures and performance regressions and driving technical initiatives through production deployment.
- Preferred experience with Transformer-based neural networks, Vision Transformers, multi-modal architectures, foundation models, generative AI, and large-model training.
- Preferred experience developing perception, prediction, localization, planning, or sensor-fusion algorithms and shipping production ADAS or autonomous-driving features.
- Preferred experience with AWS or cloud-native ML infrastructure, experiment tracking, model registries, automated retraining, model-deployment pipelines, continuous evaluation, and scalable ML platforms.
- Preferred experience with annotation workflows, active learning, synthetic data generation, data-quality metrics, scenario mining, sensor fusion, probabilistic estimation, Kalman filtering, SLAM, and factor graph optimization.
Benefits
- Competitive compensation with bonus potential.
- Private health care effective on day 1, life and accident insurance, and 401K matching contribution.
- Paid time off including holidays, vacation, designated time off, and parental leave.
- Learning and development opportunities and tuition reimbursement.
- Discount programs with manufacturers and retailers.
- Recognition programs, community-giving opportunities, and meaningful work in automotive safety and mobility.
- Relocation assistance may be available.
About Aptiv
Aptiv is a public automotive technology supplier that designs and manufactures vehicle electrical architectures, ADAS/autonomous software, connectivity solutions, and engineered components. It sells integrated hardware-software platforms, wiring and power distribution systems, sensors, and infotainment to global automakers and mobility companies. Headquartered in Dublin, Ireland, Aptiv is listed on the NYSE and operates worldwide across development centers and manufacturing sites.