AI Engineer - Automotive AI Systems

AI Engineer — Automotive AI Systems

AI is no longer a feature in modern vehicles — it is the vehicle. ADAS perception, voice assistants, predictive diagnostics, and intelligent infotainment are now central to how drivers experience and trust their cars. Getting these systems wrong isn't a software bug — it's a safety event.

We are looking for an AI Engineer who builds the frameworks, pipelines, and methodologies that stand between an AI model and a vehicle on the road. You will be the quality and safety gate for deep learning and LLM-based features across our vehicle platforms — designing the tests, the tools, and the benchmarks that give engineering teams confidence to ship.

This is a high-impact role at the intersection of AI/ML engineering and automotive system validation. Your work directly determines whether AI-driven features are safe, reliable, and ready for production.

AI Frameworks

What You Will Own:

Design and implement end-to-end AI frameworks for deep learning models — perception, NLP, generative AI — covering accuracy, robustness, latency, and functional safety metrics across automotive deployment environments.

LLM Development And Validation Pipelines

Build automated evaluation pipelines for LLM-based features including hallucination detection, response quality scoring, prompt regression testing, and adversarial input coverage. Ensure every model update is tested before it reaches a vehicle.

Automotive AI Benchmarks

Build and curate evaluation datasets and benchmarks purpose-built for automotive AI use cases — voice command recognition, diagnostic Q&A, sensor fusion output validation, and edge-case scenario coverage.

AI-Assisted Test Generation

Leverage LLMs to automatically generate test cases, test data, and expected-result specifications directly from system requirements — reducing manual test authoring and increasing coverage systematically.

Production Monitoring & Drift Detection

Develop model monitoring systems that detect performance degradation, distribution shift, and drift in AI features operating in both test environments and production vehicles.

CI/CD Integration

Embed AI model validation into existing test bench infrastructure and CI/CD pipelines — making automated regression testing a standard gate for every ML model update and software release.

Root Cause & Quality Analysis

Apply statistical methods and ML techniques to test results to identify failure patterns, root causes, and quality trends — and translate findings into clear, actionable recommendations for engineering teams.

Basic Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or related field
• A minimum of 3 years in ML/AI development; with at least a minimum of 1 year focused on model evaluation, testing, or validation
• Strong Python proficiency and hands-on experience with testing frameworks (pytest, Robot Framework, or equivalent)
• Deep experience evaluating deep learning models — metrics design, dataset curation, bias analysis, regression testing
• Practical knowledge of LLM evaluation techniques: BLEU, ROUGE, LLM-as-judge, human-in-the-loop approaches
• Experience with ML experiment tracking and pipeline orchestration (MLflow, Weights & Biases, Kubeflow, or equivalent)
• CI/CD experience (Jenkins, GitLab CI, GitHub Actions) for automated test execution at scale
• Ability to communicate complex AI validation results clearly to cross-functional engineering and leadership audiences
  
  

Preferred Qualifications

• Experience with simulation-based testing or digital twin environments
• Knowledge of automotive safety standards — ISO 26262, SOTIF/ISO 21448 — applied to AI systems
• Adversarial robustness testing, out-of-distribution detection, or uncertainty quantification for neural networks
• Familiarity with automotive test toolchains (dSpace, Vector CANoe, NI VeriStand)
• Proven ability to collaborate across time zones with global, cross-disciplinary engineering teams
  
  

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute
  
  

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community
  
  

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

EOE / Disability / Veteran