Lucid Motors
HeadofInfrastructure,ADAS/AD
Neural analysis suggests this role is
optimal for Senior candidates.
“Head of Infrastructure, ADAS/AD at Lucid Motors. Skills: Infrastructure architecture, Cloud infrastructure, Hybrid infrastructure, DevOps, MLOps. Own infrastructure architecture. Define infrastructure architecture”
What You'll Achieve.
Define KPIs for reliability; Track KPIs for reliability; Define KPIs for scalability; Track KPIs for scalability; Define KPIs for cost efficiency; Track KPIs for cost efficiency; Define KPIs for developer experience; Track KPIs for developer experience
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 5+ years experience supporting AI-heavy systems, 5+ years experience supporting data-intensive systems, 5+ years experience supporting real-time systems, Experience designing cloud infrastructure architectures, Experience operating cloud infrastructure architectures, Experience standing up DevOps organization, Experience leading DevOps organization, Experience standing up infrastructure organization, Experience leading infrastructure organization, Experience with CI/CD pipelines, Experience with production ML workflows, Experience with Infrastructure-as-Code, Experience with automation tools, Experience operating in hybrid environments, Experience working on cost optimization, Experience working on performance tuning, Experience working on modernization of large-scale infrastructure, Experience working on modernization of legacy infrastructure, Experience working on modernization of data pipelines, Experience working on modernization of ML pipelines, Practical understanding of data privacy, Practical understanding of security, Practical understanding of regulatory considerations, Experience handling data in regulated environments, Experience in startup environments, Experience in growth-stage environments, Leadership skills, Communication skills, Cross-functional collaboration skills, Ability to independently design infrastructure decisions, Ability to independently validate infrastructure decisions, Ability to independently defend infrastructure decisions, Ability to independently design security decisions, Ability to independently validate security decisions, Ability to independently defend security decisions
Nice to Have
Master's degree preferred, Experience across multiple areas of AI, Platform software development experience, Middleware development experience, SDK development experience, Background in ADAS, Background in autonomous vehicles, Background in robotics, Background in medical devices, Background in safety-critical domains, Experience with autonomous vehicle systems, Experience with physical sensor data, Proficiency with containerized infrastructure, Proficiency with orchestration ecosystems, Proficiency with MLOps platforms, Proficiency with observability tooling, Familiarity with functional safety, Familiarity with automotive standards, Cloud certifications, DevOps certifications, Kubernetes certifications
What You'll Do.
Own infrastructure architecture
Define infrastructure architecture
Own security architecture
Define security architecture
Design cloud infrastructure
Deploy cloud infrastructure
Operate cloud infrastructure
Design large-scale data pipelines
Deploy large-scale data pipelines
Operate large-scale data pipelines
Support sensor data ingestion
Modernize legacy infrastructure
Optimize legacy infrastructure
Improve cost efficiency legacy infrastructure
Improve performance legacy infrastructure
Modernize data pipelines
Optimize data pipelines
Improve cost efficiency data pipelines
Improve performance data pipelines
Modernize ML pipelines
Optimize ML pipelines
Improve cost efficiency ML pipelines
Improve performance ML pipelines
Identify architectural simplification opportunities
Identify automation opportunities
Build CI/CD pipelines
Support production AI workflows
Support production software workflows
Implement Infrastructure-as-Code
Implement automation frameworks
Manage cloud infrastructure
Define ownership boundaries
Partner with external vendors
Retain architectural control
Improve developer productivity
Improve system reliability
Implement observability
Standardize development workflows
Ensure infrastructure alignment
Ensure data platforms alignment
Align with data privacy requirements
Align with security requirements
Align with regional compliance requirements
Collaborate with Software teams
Collaborate with Product teams
Collaborate with Systems teams
Collaborate with Validation teams
Collaborate with Program teams
Collaborate with Operations teams
Evaluate emerging infrastructure tools
Adopt emerging infrastructure tools
Evaluate emerging DevOps tools
Adopt emerging DevOps tools
Evaluate emerging MLOps tools
Adopt emerging MLOps tools
Evaluate emerging AI-enabled tools
Adopt emerging AI-enabled tools
How You'll Work.
Team & Collaboration
Cross-functionally with Software; Cross-functionally with Product; Cross-functionally with Systems; Cross-functionally with Validation; Cross-functionally with Program; Cross-functionally with Operations
Full Job Description
Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. 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. The successful candidate will establish and grow an in‑house DevOps and infrastructure organization, define internal versus vendor ownership boundaries, and architect systems that enable reliable, secure, cost‑efficient, and compliant development of production ADAS and autonomous vehicle software. Success requires deep technical expertise, strong leadership, and experience operating in fast‑moving startup or growth environments. 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 a
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