VP Engineering for Development Infrastructure Group

Mobileye is seeking a highly technical and experienced Vice President of Engineering to lead the Development Infrastructure Group, a team of over 180 engineers, project/product managers, and support engineers. This role is responsible for the architecture, development, and operational excellence of Mobileye’s core infrastructure that powers big data processing, high-performance cloud computing, and large-scale re-simulation for autonomous vehicle development. The ideal candidate will have a strong technical background in software engineering, distributed systems, cloud computing, and data engineering, along with a proven ability to manage large teams and budgets in a fast-paced environment.

What your job will look like;

• Provide technical vision and strategic direction for all three infrastructure domains.
• Participate in design and architecture discussions, ensuring technical trade-offs align with business goals.
• Conduct code reviews, mentor engineers, and ensure best practices in software development.
• Interface with top management, internal stakeholders, and external customers, advocating for infrastructure improvements and driving adoption of advanced technologies.
• Identify and implement best practices in CI/CD, observability, security, and automation.
• Architect and manage high-performance computing (HPC) infrastructure for large-scale machine learning training and validation workloads.
• Lead the development of internal cloud services and SaaS solutions that enable Mobileye’s customers to access essential tools and applications.
• Ensure efficient use of Kubernetes, Argo Workflows, Terraform, and cloud-based GPU computing (AWS, GCP, Azure).
• Oversee the development of real-time simulation platforms for autonomous vehicle testing and enable the simulation of thousands of hours of drives in offline environments.
• Guide engineering efforts in low-level, high-performance software development, data center software optimization, and parallel computing.
• Oversee the development of end-to-end data pipelines from ingestion to access by internal and external customers.
• Define and optimize data models for cataloging and data lakes.
• Drive the use of Apache Spark, Hadoop, Kafka, Parquet, and Delta Lake for efficient data processing and storage.
  
  

• 15+ years of experience in software engineering, cloud infrastructure, or big data systems.
• 10+ years of leadership experience, managing large, distributed engineering teams.
• Expertise in distributed computing, cloud-native architectures, high-performance computing, and large-scale data processing.
• Hands-on experience with Kubernetes, Apache Spark, Argo Workflows, Terraform, AWS/GCP/Azure, Kafka, and CI/CD pipelines.
• Strong proficiency in Python, C++, and other relevant programming languages.
• Deep understanding of ML training pipelines, data engineering, and simulation technologies.
• Proven track record of leading cross-functional teams, mentoring managers, and fostering innovation.
• Strong ability to interface with executives, engineers, and customers to align technical execution with business objectives.
• Experience with budget planning, vendor management, and cost optimization strategies.