> Markdown version of [/jobs/ext/3894469-senior-software-engineer-ai-inference](https://www.wearedevelopers.com/jobs/ext/3894469-senior-software-engineer-ai-inference). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - AI Inference - **Company:** Bloomberg L.P. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $160,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Nvidia CUDA, Software Debugging, Distributed Systems, InfiniBand, Object-Oriented Software Development, Software Engineering, Load Balancing, Cloud Platform System, Pytorch, Caching, Kubernetes, Information Technology, Machine Learning Operations, Model Inference - **Published:** October 23, 2026 - **Apply:** https://www.manhattanjobs.com/job.asp?id=3466612739&tx=KK5353FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5+ years of professional software engineering experience. * Experience designing, building, and operating production distributed systems. * Strong systems intuition and a track record of debugging and optimizing performance-critical services. * Ability to own problems end-to-end and quickly ramp up in unfamiliar technical areas. * 4+ years of demonstrated experience working with an object-oriented programming language. * A degree in Computer Science, Electrical Engineering, or equivalent practical experience. We'd love to see: * Experience deploying and operating machine learning systems at scale. * Experience with inference optimization techniques such as batching, caching, request scheduling, or memory-aware serving. * Familiarity with PyTorch and GPU software stacks such as CUDA and NCCL. * Exposure to high-performance interconnects and distributed computing technologies such as NVLink, InfiniBand, or MPI. * Experience with Kubernetes and cloud-native infrastructure. * Experience with load balancing, request routing, or traffic management systems.