Senior Engineer - Algorithms

Summary We are seeking an experienced Machine Learning and Autonomous Driving Algorithms Engineer to develop, integrate, validate, and deploy production software for parking assistance and low-speed autonomous-driving systems. The role requires strong expertise in machine learning, Python software development, scalable data and training pipelines, and algorithm validation in real-world environments. 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.

About Aptiv

sensor fusion probabilistic estimation Kalman filtering SLAM factor graph optimization Why join Aptiv ? · You grow at Aptiv .

Aptiv's winning culture is global by design.

We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges.

In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win. · You make an impact at Aptiv.

One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday.

People need solutions they can trust when it matters most.

Progress is never static.

It is about reaching further, exploring new possibilities, and enabling mobility.

Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications.

We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.

Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.

Us to Deliver Innovative Solutions That People Trust!

Responsibilities

• 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.
• 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 Your Background Education Master's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Applied Mathematics, or equivalent.
• annotation workflows active learning synthetic data generation data quality metrics scenario mining Experience improving model performance through data strategy rather than architecture changes alone.

Requirements

• 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.
• 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.
• Experience with large-scale datasets and data processing workflows.
• Experience performing root-cause analysis of model failures and performance regressions.
• Execution Experience working with algorithm, software, systems, and validation teams.
• Demonstrated ability to drive technical initiatives from concept through production deployment.
• Modern Deep Learning Experience developing Transformer-based neural networks.
• Vision Transformers Multi-modal architectures Foundation Models Generative AI techniques Experience optimizing and scaling large-model training.

Preferred

• Data & Training Pipelines Experience designing, implementing, or maintaining ML training pipelines.
• Autonomous Driving / Robotics Experience developing perception, prediction, localization, planning, or sensor-fusion algorithms.
• 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.
• experiment tracking model registry automated retraining model deployment pipelines continuous evaluation Experience building scalable ML platforms used by multiple teams.

Benefits

• At Aptiv, you are building those solutions every day. · You have support at Aptiv.
• We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package YOUR BENEFITS AT APTIV: Private health care effective day 1 of employment
• Life and accident insurance
• (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 Meet the Next Generation Aptiv At Aptiv, we deliver innovative solutions that people trust when it matters most.

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.