Software Engineer - AI Platform
Superblocks170,000 - 210,000 USD/year
- Full Time
- Senior (5 to 8 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, Data & AnalyticsIndustries
Requirements
Candidates should have deep experience building AI infrastructure and working closely with researchers to develop high-performance systems at massive scale. Experience with Kubernetes, Terraform, FastAPI, and gRPC is essential, alongside proficiency in multiple programming languages such as Python and Rust. Familiarity with large-scale Machine Learning infrastructure and distributed systems is preferred, as well as the ability to identify bottlenecks and optimize system performance in training environments.
Responsibilities
The Software Engineer will design and maintain robust and secure systems that facilitate the training of next-gen AI models. They will oversee the development and performance of high-scale Kubernetes clusters, utilize Terraform for infrastructure management, collaborate with research teams on novel AI training runs, and develop FastAPI and gRPC APIs for the AI computing environment.
Skills
Kubernetes
Terraform
Python
Rust
FastAPI
gRPC
RL Training
Distributed Systems
Reasoning about training at scale
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