AI Infrastructure Engineer: Scalable GPU Inference, On-Site

Spellbrush; San Francisco (CA); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Equity

Health Insurance

Dental Insurance

Vision Insurance

Job summary

An innovative studio is seeking an AI Infrastructure Engineer to enhance their ML infrastructure for groundbreaking anime games. This role involves designing and implementing cutting-edge inference architectures to support various platforms. As part of a small, agile team, you will work closely with top AI researchers, driving the evolution of generative AI in the gaming industry. If you are passionate about anime aesthetics and enjoy a fast-paced environment, this opportunity will allow you to contribute to a creative movement that impacts millions of users worldwide.

Qualifications

• Experience with large distributed systems and GPU workloads.
• Familiarity with K8S, Kafka, and Redis is essential.

Responsibilities

• Design and implement next-gen inference architecture for AI models.
• Collaborate with a nimble team on state-of-the-art image generation.

Skills

Large Distributed Systems

GPU Optimization

Kubernetes (K8S)

Kafka

Redis

NATS

Job description

An innovative studio is seeking an AI Infrastructure Engineer to enhance their ML infrastructure for groundbreaking anime games. This role involves designing and implementing cutting-edge inference architectures to support various platforms. As part of a small, agile team, you will work closely with top AI researchers, driving the evolution of generative AI in the gaming industry. If you are passionate about anime aesthetics and enjoy a fast-paced environment, this opportunity will allow you to contribute to a creative movement that impacts millions of users worldwide.