Zoox Logo

Zoox

Staff Software Engineer, HPC

Posted One Month Ago
Be an Early Applicant
Hybrid
Foster City, CA, USA
201K-315K Annually
Senior level
Hybrid
Foster City, CA, USA
201K-315K Annually
Senior level
Design, build, and operate Zoox's HPC platform supporting thousands of concurrent jobs. Modernize infrastructure (Ray, SLURM, Kubernetes, AWS), improve scheduling, autoscaling, multi-region orchestration, capacity planning, profiling, and developer tooling. Lead cross-team initiatives and mentor junior engineers.
The summary above was generated by AI
Zoox is looking for an experienced Staff Software Engineer to build, scale, and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development, our HPC platform must keep pace with rapidly growing compute, storage, and scheduling demands across the company. You will modernize our HPC platform—built on industry-leading technologies like Ray.io, SLURM, and Kubernetes—with a focus on reliability, scalability, and world-class developer velocity.
 
These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on the productivity and effectiveness of every engineering team at Zoox.
 
The position comes with a high degree of independence and the opportunity to define Zoox's HPC platform strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust, scalable infrastructure.

In this role, you will:

  • Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs

  • Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform

  • Lead multi-quarter, cross team initiatives that drive org-wide improvements

  • Create production-grade APIs, SDKs, and tools that make it easy for engineers across Zoox to run large-scale distributed workloads

  • Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability

  • Design multi-region orchestration strategies that optimize for data locality, reliability, and performance

  • Identify and resolve systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners across multiple teams

  • Evaluate new technologies and paradigms that improve Zoox's computational and storage capabilities

  • Develop capacity planning tools and forecasting models to support Zoox's growing compute needs

  • Mentor junior engineers, guiding them through their career development

Qualifications

  • Experience designing and operating large-scale distributed systems in production

  • Experience with Ray.io, particularly Ray Core and Ray Data (or equivalent technologies)

  • Experience with Kubernetes, particularly for heterogeneous workloads

  • Experience with cloud infrastructure on AWS or similar providers

  • Track record of shipping and operating reliable, highly available scalable infrastructure

  • Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs

  • Proficiency with Python

Bonus Qualifications

  • Exposure to machine learning workloads (training, inference, data generation)

  • Experience with Kubernetes or SLURM at scale (>10k+ nodes)

  • Experience with SLURM workload manager and advanced scheduling policies

  • Background in algorithmic optimization or operations research

  • Experience building developer tools and platforms used by large engineering organizations

About Zoox
 
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
 
Follow us on LinkedIn
 
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

HQ

Zoox Foster City, California, USA Office

4000 E 3rd Ave, Foster City, CA, United States, 94404

Zoox Foster City, California, USA Office

1149 Chess Drive, Foster City, CA, United States, 94404

Zoox Fremont, California, USA Office

47540 Kato Road, Fremont, CA, United States, 94538

Zoox San Francisco, California, USA Office

60 Broadway St, San Francisco, CA, United States, 94111

Similar Jobs

30 Minutes Ago
Hybrid
224K-387K Annually
Expert/Leader
224K-387K Annually
Expert/Leader
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Leads strategy, roadmap, execution, and team development for CRM and customer communications products across email, push, SMS, in-product, and transactional channels. Oversees personalization, marketing automation, customer data, journey orchestration, experimentation, analytics, integrations, identity, consent, and platform architecture. Partners with cross-functional teams, makes build-versus-buy decisions, establishes scalable product practices, develops product talent, and applies AI/ML to improve engagement and product effectiveness.
Top Skills: Ai/MlAnalyticsAPIsData ModelsExperimentationIdentity ManagementJourney OrchestrationMarketing AutomationPersonalizationPlatform ArchitecturePrivacy TechnologiesSalesforce Data CloudSalesforce Marketing Cloud
30 Minutes Ago
Hybrid
173K-277K Annually
Senior level
173K-277K Annually
Senior level
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Lead development of scalable econometric and causal-inference methods (DiD, RDD, IV, synthetic controls, panel data) to measure long-term marketplace impact. Integrate causal insights into production ML systems, influence product strategy, present findings to executives, and mentor data scientists and economists.
Top Skills: Causal ForestsDidDoublemlIvLlm-Assisted ToolsPythonRRddSQLSynthetic Controls
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
98K-193K Annually
Senior level
98K-193K Annually
Senior level
Big Data • Cloud • Software • Database
Serve as the strategic compensation partner for Sales, advising senior leaders on offers, equity, leveling, promotions, retention, benchmarking, and compensation cycles. Analyze market and internal data, support incentive-plan governance and modeling, lead competitive intelligence, improve compensation programs, manage strategic projects, and develop manager enablement materials. Partner closely with Finance, Sales Operations, Recruiting, Legal, and HR while presenting recommendations to executive stakeholders.
Top Skills: RadfordWtw

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account