Software Engineer, Model Inference

OpenAI Inc.
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Nvidia CUDA Software Debugging Distributed Systems InfiniBand Machine Learning Software Engineering Graphics Processing Unit (GPU) Pytorch Low Latency Build Tools

Job description

We are looking for an engineer who wants to take the world’s largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.

In this role, you will:

  • Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.
  • Work alongside researchers to enable advanced research through awesome engineering.
  • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.
  • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.
  • Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.

Requirements

  • Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.
  • Own problems end-to-end, and are willing to pick up whatever knowledge you’re missing to get the job done.
  • Have at least 5 years of professional software engineering experience.
  • Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc.
  • Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems.
  • Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale.
  • Are self-directed and enjoy figuring out the most important problem to work on.
  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity., At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:33 min

Architecting CUDA and the AI software stack

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Transitioning from CUDA software architect to user

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Dissecting artificial intelligence layers from compute to applications

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