Head of Infrastructure, ADAS/AD (Newark)

Salary Range: Base Pay Range (Annual) $261,500 – $383,570 USD

Benefits: comprehensive package including medical, dental, vision insurance; life and disability coverage; paid time off; paid holidays; 401(k) retirement plan; equity program; discretionary annual cash incentive program.

You Will

• Own and define the end‑to‑end infrastructure and security architecture across cloud, on‑premises, and hybrid environments.
• Design, deploy, and operate scalable cloud infrastructure and large‑scale data pipelines supporting sensor data ingestion, ML training, simulation, validation, and deployment for ADAS and autonomous vehicle systems.
• Lead efforts to modernize, optimize, and improve cost efficiency and performance of legacy infrastructure and data/ML pipelines, including identifying opportunities for architectural simplification and automation.
• Build and own CI/CD and ML pipelines supporting production AI and software workflows, with an emphasis on reliability, scalability, and efficiency.
• Implement Infrastructure‑as‑Code and automation frameworks for secure, repeatable deployments.
• Manage cloud infrastructure across AWS, OCI, Azure, or similar platforms including access control, cost governance, and resource optimization.
• Define ownership boundaries and partner effectively with IT and external vendors while retaining architectural control.
• Improve developer productivity and system reliability through tooling, observability, automation, and standardized development workflows.
• Ensure infrastructure and data platforms align with data privacy, security, and regional compliance requirements, including GDPR and region‑specific constraints for the EU, KSA, and other global markets.
• Define and track KPIs for reliability, scalability, cost efficiency, and developer experience.
• Collaborate cross‑functionally with Software, Product, Systems, Validation, Program, and Operations teams.
• Evaluate and adopt emerging infrastructure, DevOps, MLOps, and AI‑enabled tools where they provide clear value.

You Bring

• Hands‑on experience designing and operating cloud infrastructure architectures (AWS, OCI, Azure, or similar).
• Proven experience standing up and leading an in‑house DevOps or infrastructure organization.
• Strong experience with CI/CD pipelines and production ML workflows.
• Deep knowledge of Infrastructure‑as‑Code and automation tools such as Terraform and GitOps.
• Experience operating in hybrid environments (on‑premises and cloud).
• Experience working on cost optimization, performance tuning, and modernization of large‑scale or legacy infrastructure and data pipelines.
• Practical understanding of data privacy, security, and regulatory considerations, including experience handling data in regulated environments (e.g., GDPR, EU, Middle East/KSA).
• Builder mindset with experience in startup or growth‑stage environments.
• Experience supporting AI‑heavy, data‑intensive, or real‑time systems.
• Strong leadership, communication, and cross‑functional collaboration skills.
• Ability to independently design, validate, and defend infrastructure and security decisions.

Great to Have

• Experience across multiple areas of AI, such as machine learning platforms, data engineering, perception systems, or MLOps, beyond core infrastructure responsibilities.
• Platform software, middleware, or SDK development experience.
• Background in ADAS, autonomous vehicles, robotics, medical devices, or other safety‑critical domains.
• Experience with autonomous vehicle systems and physical sensor data such as cameras, LiDAR, radar, or GPS.
• Proficiency with containerized infrastructure and orchestration ecosystems, including Kubernetes, Docker, and Helm, as well as MLOps platforms and observability tooling.
• Familiarity with functional safety or automotive standards such as ISO 26262, ASPICE, or SOTIF.
• Cloud, DevOps, or Kubernetes certifications.

Education Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
• Master’s degree preferred.

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at View email address on apply.placed-app.com.

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