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Aptiv

Automotive electronics and software platform provider

Senior Engineer - Algorithms

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeTroy, MI, USANo salary listedIn-person

About the Job

Requirements

  • A master's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Applied Mathematics, or equivalent is required.
  • At least 8 years of industry experience developing production software and algorithms is required; a PhD may substitute for a portion of this experience.
  • At least 5 years of hands-on experience developing and deploying machine-learning algorithms is required.
  • Strong understanding of supervised learning, deep learning, model evaluation, dataset development, and error analysis is required.
  • Experience with PyTorch and/or TensorFlow is required.
  • Strong Python development experience and experience building scalable software systems are required.
  • Experience working in Linux development environments is required.
  • Proficiency with Git-based development workflows and continuous integration and continuous delivery practices is required.
  • Experience designing, implementing, or maintaining machine-learning training pipelines is required.
  • Experience with large-scale datasets and data-processing workflows is required.
  • Experience performing root-cause analysis of model failures and performance regressions is required.
  • Experience developing Transformer-based neural networks is required.
  • Experience with Vision Transformers, multimodal architectures, foundation models, and generative artificial intelligence techniques is required.
  • Experience optimizing and scaling large-model training is required.
  • Experience developing perception, prediction, localization, planning, or sensor-fusion algorithms is required.
  • Experience working with cameras, radar, lidar, ultrasonic sensors, and vehicle signals is required.
  • Experience shipping production advanced driver-assistance systems or autonomous-driving features is required.
  • Experience with AWS or cloud-native machine-learning infrastructure is required.
  • Experience with experiment tracking, model registry, automated retraining, model-deployment pipelines, and continuous evaluation is required.
  • Experience building scalable machine-learning platforms used by multiple teams is required.
  • Experience with annotation workflows, active learning, synthetic-data generation, data-quality metrics, and scenario mining is required.
  • Experience improving model performance through data strategy as well as architecture changes is required.
  • Experience with sensor fusion, probabilistic estimation, Kalman filtering, simultaneous localization and mapping, and factor-graph optimization is required.
  • Experience working with algorithm, software, systems, and validation teams is required.
  • Demonstrated ability to drive technical initiatives from concept through production deployment is required.

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 and frameworks such as PyTorch and/or TensorFlow.
  • Design, implement, and maintain scalable machine-learning 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 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 continuous integration and continuous delivery practices.
  • Support cloud-native or AWS-based machine-learning 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.

About the Company

Aptiv

Automotive electronics and software platform provider

Aptiv provides the electronic brain and nervous system for modern vehicles, powering features from active safety to software-defined vehicle architecture. Its products sit in the car’s electronics stack, enabling connectivity, advanced safety, electrification, and autonomous capabilities through computer modules, software, and embedded systems. Unlike traditional auto parts suppliers, Aptiv focused its business on high-tech automotive electronics and software, after spinning off its legacy powertrain unit in 2017 and rebranding from Delphi. It expands its capabilities through strategic acquisitions such as nuTonomy (self-driving tech) in 2017 and Wind River (edge software) in 2022, and created Motional, a joint venture with Hyundai to commercialize autonomous driving. Aptiv’s goal is to be a leading technology partner for automakers by delivering the core intelligence for next-generation vehicles, including safety, connectivity, electrification, and autonomous driving.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1994

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