HPC Cluster Admin Contractor (GPU/AI)
GenmoSalary not specified
- Full Time
- Junior (1 to 2 years)
$360,000 – $440,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, HardwareIndustries
Requirements
Candidates should have a strong understanding of distributed systems principles and a proven track record in designing scalable, reliable, and secure compute clusters. Proficiency in programming languages such as Python or Go is required, along with experience working in public cloud environments, particularly Azure. Familiarity with high-performance computing, GPU workloads, or AI/ML compute patterns is also essential. Candidates should be comfortable taking initiative and thriving in a fast-paced, dynamic environment.
Responsibilities
The Software Engineer will design, build, and operate large-scale compute clusters for advanced AI research. Responsibilities include developing and optimizing high-performance cluster systems to support compute-intensive AI workloads, ensuring the reliability, scalability, and efficiency of the cluster infrastructure, interfacing with researchers and engineering teams to understand compute needs and optimize resource allocation, and implementing security measures for all cluster systems.
Skills
Python
Go
Distributed Systems
Azure
High-Performance Computing
GPU Workloads
AI/ML Compute Patterns
Cluster Management
Resource Allocation
System Reliability
Security
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees