Senior Deep Learning Framework Communications Engineer

NVIDIA is leading the way in groundbreaking developments in Artificial

Intelligence, High Performance Computing and Visualization. The GPU, our

invention, serves as the visual cortex of modern computers and is at the heart

of our products and services. Our work opens up new universes to explore,

enables amazing creativity and discovery, and powers what were once science

fiction inventions from artificial intelligence to autonomous cars. We are

looking for a motivated Deep Learning engineer to bring advanced communication

technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc.

You will be working with the team that created communication libraries like

NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC

applications. Your customers will have diverse multi-GPU demands, ranging from

training on scales up to 100K GPUs to inference down at microsecond latency.

Communication performance between the GPUs has a direct impact on AI

applications. Your work in AI toolkits will make all of those easier for the

community. This is an outstanding opportunity for someone with an AI background

to advance the state of the art in this space. Are you ready to contribute to

the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing: Integrate new communication libraries features in AI

frameworks: from PoC to performance analysis to production Perform deep analysis

of AI workloads and frameworks to identify multi-GPU communication requirements

and opportunities. Collaborate hands-on with teams working on the latest AI

models. Improve AI compilers to hide communications or perform automatic fusion.

Conduct in-depth AI workload performance characterization on multi-GPU clusters.

Design fault-tolerant and elastic solutions for large-scale or dynamic AI

workloads. Author custom communication or fused compute-communication kernels to

showcase ultimate performance on NV platforms. Influence the roadmap of

communication libraries - NCCL & NVSHMEM. Collaborate with a very dynamic team

across multiple time zones. What we need to see: B.S, M.S. or PHD in Computer

Science, or related field (or equivalent experience) with 5+ software

engineering and HPC/AI experience Development or integration experience with

Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as

TRT-LLM, vLLM, SGLang Rapid prototyping and development with Python, C++, CUDA

or related DSLs (Triton, cuTe) Solid grasp of AI models, parallelisms, and/or

compiler technologies (e.g. torch.compile) Experience conducting performance

benchmarking on AI clusters. Familiarity with at least one performance profiler

toolchain (PyTorch profiler, NVIDIA Nsight Systems) Understanding of HPC/AI

communication concepts (1-sided v 2-sided communication, elasticity, resiliency,

topology discovery, etc) Adaptability and passion to learn new areas and tools

Flexibility to work and communicate effectively across different teams and

timezones Ways to stand out from the crowd: Experience with parallel programming

on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding

of computer system architecture, HW-SW interactions and operating systems

principles (aka systems software fundamentals) Expertise in one or more of these

areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel

authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute

& communication overlap in distributed runtimes Experience with AI compiler

pattern matching and lowering. Solid understanding of memory hierarchy,

consistency model, and tensor layout Your base salary will be determined based

on your location, experience, and the pay of employees in similar positions. The

base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD -

287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 11, 2026. This

posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting

processes. NVIDIA is committed to fostering an inclusive work environment and

proud to be an equal opportunity employer. As we highly value diversity in our

current and future employees, we do not discriminate (including in our hiring

and promotion practices) on the basis of race, religion, color, national origin,

gender, gender expression, sexual orientation, age, marital status, veteran

status, disability status or any other characteristic protected by law. NVIDIA

pioneered accelerated computing. Today, our AI infrastructure powers global

intelligence, transforming every industry. Learn more about NVIDIA.