Head of Infrastructure, ADAS/AD

Job summary

The Head of Infrastructure, ADAS / Autonomous Driving is a senior leadership role responsible for designing, building, and operating scalable cloud and hybrid infrastructure to support ADAS and autonomous vehicle product delivery. This role owns the end-to-end infrastructure architecture, including cloud strategy, security models, DevOps practices, CI/CD and ML pipelines, and data governance for global deployments. This is a hands-on, builder-focused role that requires deep technical expertise, strong leadership, and experience operating in fast-moving startup or growth environments.

Benefits

Qualifications

• 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
• 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

Responsibilities

• Own and define 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 for 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 architectural simplification and automation
• Build and own CI/CD and ML pipelines supporting production AI and software workflows, with 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

Skills

Certifications

Degrees

Relocation