Senior Backend Engineer AI Infra & GPU Scheduling (Hybrid)

SproutsAI; Palo Alto (CA); Hybrid; USD 190,000 - 270,000; Full time

Benefits offered by this job

Competitive salary

Equity based on experience

Job summary

A tech company in Palo Alto is actively seeking a Backend Engineer to develop systems that manage GPU clusters for AI workloads. The role demands 5+ years of backend experience, with strong skills in Go or Python. You will design APIs for GPU orchestration and manage resources efficiently. This hybrid position offers competitive salary and equity based on experience. Location in Palo Alto is required, and applicants must be authorized to work in the U.S.

Qualifications

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

Responsibilities

• Design APIs that abstract complex GPU operations.
• Build scheduling algorithms to maximize GPU utilization.
• Develop resource management systems for GPU lifecycle.

Skills

Backend engineering experience

Proficiency in Go

Proficiency in Python

Resource scheduling

API design

Linux systems knowledge

Containerization experience

Understanding of ML/AI patterns

Tools

Docker

Kubernetes

Job description

A tech company in Palo Alto is actively seeking a Backend Engineer to develop systems that manage GPU clusters for AI workloads. The role demands 5+ years of backend experience, with strong skills in Go or Python. You will design APIs for GPU orchestration and manage resources efficiently. This hybrid position offers competitive salary and equity based on experience. Location in Palo Alto is required, and applicants must be authorized to work in the U.S.