Principal AV Behavior and AI Safety Engineer: Technical Lead

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal AV Behavior and AI Safety Engineer: Technical Lead in the United States.

The Principal AV Behavior and AI Safety Engineer will serve as a technical leader in autonomous vehicle (AV) behavior and AI safety, guiding the development, validation, and deployment of AI/ML-driven systems. This role combines deep expertise in machine learning, AI safety standards, and autonomous vehicle development to ensure safe, reliable, and scalable AV solutions. You will lead cross-functional teams in defining safety strategies, implementing robust validation processes, and applying industry standards to AI/ML models across L4 autonomous features. The position offers the opportunity to work on cutting-edge AV technologies, influence safety protocols, and mentor engineers while collaborating closely with partners and stakeholders. The role emphasizes both innovation and rigorous safety, impacting the future of autonomous mobility.

Accountabilities:

• Develop and implement AI/ML safety strategies referencing ISO 8800, ISO 21448, and AV industry best practices.
• Lead the end-to-end validation of autonomous vehicle behaviors and AI systems across simulations, closed courses, and public roads.
• Collaborate with software, data science, and systems engineering teams to ensure safe model training, deployment, and continuous performance improvement.
• Establish assurance processes to validate launch targets for vehicle behaviors and operational design domains.
• Set technical standards for prototyping, testing, and deploying new AI solutions, including generative AI.
• Provide guidance and mentorship to AI/ML developers and cross-functional engineering teams.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree preferred.
• 7+ years of experience in machine learning, AI safety, autonomous vehicle, or robotics development.
• Extensive knowledge of AI/ML safety standards and validation techniques for autonomous systems (ISO 8800, ISO 21448).
• Hands-on expertise with Python, R, Java, PyTorch, TensorFlow, PySpark, Scikit-learn, LangChain, SQL.
• Experience with AI/ML techniques including LLMs, Generative AI, RAG, deep learning, reinforcement learning, NLP, SVM, XGBoost, Random Forest, and decision trees.
• Familiarity with cloud platforms (Microsoft Azure preferred; AWS or Google Cloud a plus) and deployment/MLOps tools such as MLflow, Docker, and Kubernetes.
• Strong communication, problem-solving, and leadership skills, with experience guiding technical safety practices in AV or AI/ML development.
• Experience leading teams and delivering complex technical solutions in a collaborative environment.

• Competitive base salary: $227,800 – $349,600 USD annually.
• Performance-based incentive program including bonuses.
• Comprehensive healthcare and wellness benefits.
• Retirement savings plan with company contributions.
• Paid vacation and holidays.
• Tuition assistance and professional development opportunities.
• Company vehicle evaluation program for eligible participants.
• Flexible remote work options with potential site visits as required.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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