The opportunity
Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before.
What you'll do
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.
Have an understanding of modern ML architectures and an intuition for how to: optimize their performance, particularly for inference.
What they're looking for
- 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.
