
Engineering Manager, ML Storage - Zoox
View Company Profile- Job Title
- Engineering Manager, ML Storage
- Job Location
- Foster City, CA
- Job Description
- Zoox is looking for an experienced Software Engineering Manager to lead our High Performance Computing Storage infrastructure team. Zoox HPC Storage owns the abstraction layers for petabyte+ scale data movement and management for critical high-throughput use cases, such as ML foundation model training, synthetic data generation, and more. You will take on a breadth of end-to-end responsibilities including distributed system design, optimization of storage-related GPU utilization bottlenecks, and cost-effective resource management.The position comes with a high degree of independence and the opportunity to help define Zoox’s scaling strategy, both technically and organizationally. You will be responsible for hiring and maintaining the health of your team, as well as growing and coaching teammates to support the continued success of their careers.In this role, you will:
- Design and implement improvements to Zoox’s in-house, cutting-edge HPC Storage infrastructure
- Investigate new data movement and management paradigms to meet Zoox’s ever-growing computational and storage needs in a cost-effective manner
- Create production-grade web service APIs, SDKs, and other tools to provide a world-class developer experience for all of Zoox’s software teams
- Mentor, coach, and advocate for your direct reports
- Expand the team by participating in all stages of the hiring process
- Plan work streams and coordinate projects with customer teams
- Align goals and progress with Zoox milestones
Qualifications:- Experience managing teams of 5-10+
- Demonstrated ability to prioritize development work and build cross-functional consensus across ML stakeholders
- Experience with high performance storage systems deployed on cloud providers, such as FSx for Lustre on Amazon Web Services (AWS)
- Strong operational background with highly available systems
- Bachelor's degree in computer science (or related field)
Bonus Qualifications:- Experience with ML-specific data formats such as Mosaic Streaming Datasets (MDS)
- Experience with end-to-end hosted ML services such as AWS SageMaker HyperPod
- Proficiency with Python, Java, or other managed languages
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Zoox Company Size
Between 2,000 - 5,000 employees
Zoox Founded Year
2014
Zoox Total Amount Raised
$1,005,000,000
Zoox Funding Rounds
View funding detailsConvertible Note
$200,000,000 USD
Series B
$465,000,000 USD
Series A
$50,000,000 USD
Series A
$250,000,000 USD
Seed
$40,000,000 USD