Overview

Our team designs and develops fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These critical components enable distributed AI/ML/HPC workloads across thousands of GPUs using RoCE and Infiniband technologies. Join us to innovate at the forefront of high-performance computing infrastructure.

Responsibilities

• Design and implement scalable GPU delivery systems for distributed workloads.
• Develop health monitoring tools to ensure GPU cluster reliability.
• Build triage automation for rapid issue detection and resolution.
• Create diagnostic services to analyze and optimize GPU performance.
• Integrate RoCE and Infiniband networking protocols into AI/ML platforms.
• Collaborate on architectural changes for thousands of GPUs at scale.
• Optimize services for high-performance computing (HPC) environments.
• Write clean, efficient code and contribute to code reviews.

Qualifications

• BS/MS in Computer Science or equivalent experience.
• 5+ years of software development in distributed systems.
• Strong experience with GPU programming (CUDA, ROCm).
• Proficiency in networking technologies like RoCE and Infiniband.
• Expertise in Python, C++, or Java for systems programming.
• Experience with AI/ML/HPC workloads and cloud infrastructure.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase plan.
• Flexible PTO and remote work options.
• Professional development and tuition reimbursement.