Infrastructure Engineer

Graphon AI Inc.; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Meaningful equity

Benefits package

Job summary

Graphon Labs in San Francisco is seeking a driven engineer to optimize throughput in complex GPU+CPU systems and enhance GPU inference performance.

You should hold an undergraduate, master's, or doctoral degree in a related field, bring a high-agency mindset, and enjoy brainstorming with a team to find the best fixes. Equity is meaningful and benefits are comprehensive.

Qualifications

• Bachelor's, master's or doctoral degree in a related field.
• High agency to pursue and solve problems.
• A 'right tool for the job' mindset and enjoy team brainstorming.
• Familiarity with K8s or training clusters like Ray.

Responsibilities

• Optimize throughput in complex systems consisting of GPUs + CPUs.
• Optimize GPU inference.

Skills

High agency

Problem solving

Team brainstorming

K8s familiarity

Ray familiarity

Education

Undergrad/Masters/Doctoral in related field

Tools

Kubernetes (K8s)

Ray

Job description

Graphon Labs is building the multimodal memory layer to enable easy search and analysis of documents, images, video, and audio. We do this by using our proprietary technology to automatically build a graph over your data that extracts out the key structure needed to deliver fast and accurate searches at inference time. Using graph analysis techniques based on the study of graphons , our system creates nodes and edges at a more abstract and powerful level of understanding to help link related information.

The Team

We are a lean, experienced team that values ownership, pragmatism, and technical excellence.

• Arbaaz Khan, CEO: ex-Amazon; PhD in Robotics and ML.
• Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML.
• Deepak Mishra, COO: ex-VC; 10+ years of Enterprise Technology experience.

The role

• Optimize throughput in complex systems consisting of GPUs + CPUs
• Optimize GPU inference

About You

• You have (or are about to have) an undergrad/masters/doctoral degree in a related field.
• High agency to pursue and solve problems you encounter.
• A 'right tool for the job' mindset. Loves brainstorming with the team to find the best fix.
• Familiarity with K8s or training clusters like Ray
• Base salary range: $180,000 – $300,000 (depending on experience)
• Meaningful equity with the opportunity to own a real stake in a category-defining company
• Comprehensive benefits, including health, dental, vision, matching 401k, and competitive paid time off