Engineering Manager, HPC Storage (AI)

TL;DR

Engineering Manager, HPC Storage (AI): Leading a team to provide abstraction layers for petabyte-scale data movement and management for high-throughput use cases such as ML foundation model training and synthetic data generation with an accent on distributed system design and optimization of storage-related GPU utilization bottlenecks. Focus on developing a multi-year vision for storage, owning the hiring process, and mentoring team members.

Location: Hybrid, Foster City, CA.

Salary: $230,000 - $285,000 a year

Company

hirify.global is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Work closely with AI teams to address pain points and find optimization opportunities for storage use cases.
• Develop a multi-year vision and roadmap for storage at hirify.global, including investment into new data movement and management paradigms.
• Own the hiring process end-to-end, from role definition to interview loop design.
• Mentor, coach, and advocate for your direct reports.

Requirements

• 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).

Nice to have

• 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.

Culture & Benefits

• Comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, hirify.global Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
• Diverse perspectives foster innovation.

Hiring process

• The company may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
• Final hiring decisions are ultimately made by humans.