Senior Backend Engineer – AI Infra & GPU Scheduling

Zettabyte Inc; Palo Alto (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Equity based on experience

Hybrid work model

Job summary

A tech company focusing on AI infrastructure is seeking a Senior/Staff Backend Engineer to create innovative systems for managing GPU clusters. Ideal candidates will possess extensive experience in backend engineering with distributed systems, proficiency in languages like Go or Python, and a passion for solving complex AI challenges. This hybrid role requires in-office presence in Palo Alto three days a week, offering a competitive salary and equity based on experience.

Qualifications

• 5+ years backend engineering experience with distributed systems.
• Strong proficiency in Go, Python, or similar backend languages.
• Experience with resource scheduling and orchestration.

Responsibilities

• Design APIs for GPU operations.
• Build scheduling algorithms for GPU utilization.
• Develop resource management systems for GPU lifecycle.

Skills

Backend engineering experience with distributed systems

Proficiency in Go, Python, or similar

Resource scheduling and orchestration

API design (REST, GraphQL, gRPC)

Linux systems knowledge

Containerization (Docker, Kubernetes)

Problem-solving in AI infrastructure

Comfort with high-cost efficiency

Startup mindset

Job description

A tech company focusing on AI infrastructure is seeking a Senior/Staff Backend Engineer to create innovative systems for managing GPU clusters. Ideal candidates will possess extensive experience in backend engineering with distributed systems, proficiency in languages like Go or Python, and a passion for solving complex AI challenges. This hybrid role requires in-office presence in Palo Alto three days a week, offering a competitive salary and equity based on experience.