Staff Software Engineer — Scalable HPC Platform Lead

Zoox

Foster City (CA)

On-site

USD 180,000 - 260,000

Full time

12 days ago

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Job summary

Zoox is seeking an experienced Staff Software Engineer to build and operate a high-performance computing (HPC) platform that scales with our autonomous vehicle development. You will modernize our HPC stack using Ray.io, SLURM, and Kubernetes, ensuring reliability and world-class developer velocity across teams from data engineering to AI model training.

You will define Zoox's HPC strategy, work with Autonomy and Software stakeholders, and lead cross-team initiatives to improve compute throughput

Qualifications

  • Experience designing and operating large-scale distributed systems in production.
  • Proficiency with Python and distributed compute workloads.
  • Experience with Ray.io and Kubernetes.
  • Strong scheduling/scaling knowledge and optimization mindset.
  • Cloud infrastructure experience (AWS or similar).
  • Ability to mentor and lead cross-functional teams.

Responsibilities

  • Design and implement core services for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs.
  • Work with customer teams and other infrastructure groups to build a multi-year HPC roadmap.
  • Lead multi-quarter, cross-team initiatives driving org-wide improvements.
  • Create production-grade APIs, SDKs, and tools for Zoox engineers to run large-scale workloads.
  • Design and improve job scheduling algorithms and auto-scaling policies for reliability.
  • Develop multi-region orchestration strategies optimizing data locality and performance.
  • Identify and resolve systemic reliability and performance issues via profiling and collaboration.
  • Evaluate new technologies to enhance compute and storage capabilities.
  • Develop capacity planning tools and forecasting models for growing compute needs.
  • Mentor junior engineers and guide career development.

Skills

Distributed systems
Ray.io
Kubernetes
Python
AWS
Job scheduling
Capacity planning
Mentoring
Performance optimization
Orchestration

Tools

Ray Core
Ray Data
SLURM
Kubernetes

Job description

Zoox is seeking an experienced Staff Software Engineer to build and operate a high-performance computing (HPC) platform that scales with our autonomous vehicle development. You will modernize our HPC stack using Ray.io, SLURM, and Kubernetes, ensuring reliability and world-class developer velocity across teams from data engineering to AI model training.

You will define Zoox's HPC strategy, work with Autonomy and Software stakeholders, and lead cross-team initiatives to improve compute throughput

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