Lucid Motors

HeadofInfrastructure,ADAS/AD

$262–384k Newark, California, United States
The Brief

“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

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