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
Skills Required
- 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, scalable infrastructure
- Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs
- Proficiency with Python
- 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
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
-
Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
-
Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
-
Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
Gallery
