At APTIV we shape the future of mobility: we design, develop, and validate systems to improve safety and comfort in vehicles. Come and join the team of skilled development engineers to design, build and scale an MLOps infrastructure for L2++ autonomous driving systems operating in complex urban environments.
In this role you will be responsible for an end-to-end ML platform architecture on AWS. The goal is to enable scalable training, validation, deployment, and observability of perception and behavioral models that meet automotive-grade reliability, safety, and performance standards.
This role sits at the intersection of cloud operations, machine learning engineering, and drive automation systems. Let’s be honest: it requires deep technical leadership across ML training pipelines, infrastructure automation, and multi-region scalability.
Your new role:
MLOps & Cloud Architecture:
Design and own end-to-end MLOps architecture on AWS for autonomous driving workloads
Build and operate a scalable multi-GPU training environments using Ray clusters
AWS Platform & Infrastructure:
Implement and manage: Amazon EKS / Kubernetes (K8s), VPC architecture, S3 Intelligent-Tiering, AWS Lambda, and AWS IoT infrastructure provisioned via Terraform
MLOps Pipelines & Tooling:
Design and operate ML pipelines using Apache Airflow and MLflow
Implement CI/CD pipelines for ML and infrastructure using GitHub
Algorithmic & Domain Collaboration:
Work closely with ML engineers on perception algorithms and decision-making algorithms
Observability, Scalability & Operations:
Build strong monitoring, logging, and observability systems and infrastructure
Enable performance metrics, failure detection, and operational insights across the ML lifecycle
Identify root causes of issues and rectify them
Engage and communicate with leaders within global development teams
Be exposed to OEM customers via remote meetings, in-person demonstrations and presentations
Your Background:
MSc degree + 4 years of relevant experience or PhD degree in Computer Science, Data Science
Strong experience with AWS cloud architecture for ML workloads
Hands-on experience in:
Multi-GPU training (Ray or equivalent distributed frameworks)
Amazon EKS / Kubernetes for ML workloads
Infrastructure as Code (Terraform)
Airflow, MLflow
Proficiency in software development using Python for ML and platform automation
Experience building and operating CI/CD pipelines (GitHub-based)
Deep understanding of ML training pipelines, including:
Data ingestion and preprocessing
Data quality assurance
Train/test validation strategies
Experience supporting large-scale ML experimentation and productionization
Familiarity with constraints of safety-critical and real-time systems
Excellent problem solving and debugging skills
Fluent command in spoken and written English
Any of the following will be highly beneficial:
Past experience with L2/L2+/L2++ ADAS or autonomous driving programs
Experience in robotic systems: perception, localization, planning, control
Knowledge of urban driving edge cases and sensor-heavy ML systems
Exposure to automotive standards, safety, or validation workflows (e.g., ISO 26262 awareness)
Experience operating ML platforms at enterprise or fleet scale
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 (Signal Iduna) and Life insurance for you and your beloved ones
Well-Being Program that includes regular webinars, workshops, and networking events
Hybrid work (min. 47 days/yr of remote work, flexible working hours)
Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
Access to sports groups and Multisport card
#LI-NN1
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.
Skills Required
- Strong experience with AWS cloud architecture for ML workloads
- Hands-on expertise in Multi-GPU training (Ray or equivalent distributed frameworks)
- EKS / Kubernetes
- Infrastructure as Code (Terraform)
- Airflow, MLflow
- Proficient Python programming for ML and platform automation
- Experience building and operating CI/CD pipelines (GitHub-based)
- Solid understanding of perception systems
- Prior experience in automotive, ADAS, or autonomous driving environments
APTIV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.
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Retirement Support — A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
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Healthcare Strength — Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
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Leave & Time Off Breadth — Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.
APTIV Insights
What We Do
Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove
