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Director of Cloud Infrastructure

We’re searching for a Director of Cloud Infrastructure to join Aurora’s Infrastructure Engineering team.

In this role, you will

 

    • Build a world-class infrastructure engineering team that lives and breathes Infrastructure, machine learning, GPU optimizations, performance analytics, processing pipelines, observability, and telemetry to deliver the best engineering team in the self-driving industry
    • Own the overall FinOps program, driving cloud cost awareness, cloud cost management, and modeling for the entire company
    • Own the company’s overall Cloud and Computational Infrastructure, supporting use cases from hardware, software, triage, autonomy, operations, machine learning, simulation, mapping, and data labeling.
    • Create the vision and become the thought leader of our API developer experience, a critical growth area as Aurora ships our first commercial services in 2024.
    • Lead a diverse set of sub-teams, including Compute, Workflows, MLOps, Observability tools, Cloud & APIs, and enterprise systems.
    • Own the vision for the observability experience for engineers building everything from micro-services to simulations to ML training and Inference in the cloud.
    • Build reliable, production-grade systems that scale to support all hundreds of Hardware and Software engineers and thousands of operations users to enable a large, geographically dispersed workforce.
    • Attract and hire industry-leading engineers and operations staff
    • Foster a team culture of collaboration, excellence, and delivery

Required Qualifications

 

  • Significant experience leading software development teams in building scalable production-grade distributed systems or HPC environments
  • Proven experience building a cloud infrastructure-focused FinOps program, supporting tooling, and promoting of engineering best practices to bring cost predictability and effeciency across the entire organization.
  • Strong experience with multi-tenant workload scheduling and optimization both from performance and cost
  • Deep experience on all aspects of observability (profiling, tracing, logging) and how to scale in in a distributed systems environment
  • Demonstrated experience in delivering and supporting reliable APIs, Processing pipelines, Developer tools, and systems at scale
  • Excellent communication and leadership skills with a product-mined approach to infrastructure and engineering experience
  • Proven track record of collaboration with other teams, including the ability to resolve prioritization, experience in a leadership capacity, managing multiple software engineering teams
  • Previous experience as a lead technical engineer, with a demonstrated ability to dig into complex technical challenges
  • Experience building and growing world-class engineering teams

Desirable Qualifications

 

  • Experience building a Developer Platform
  • Expertise in computer vision, robotics, and self-driving
  • GPU or custom ASIC optimizations used in ML Training or inference
  • Experience with ML Model Training and Inference

To request a modification to this listing please email jobs@finops.org

  • Company: Aurora
  • Published: 22nd April 2024
  • Closing Date: 5th May 2024
  • Country: United States
  • Type: Full-time
  • Seniority: Director
  • Salary: $247K/yr - $320K/yr
  • FinOps Certifications Required: None