Senior Deep Learning Framework Communications Engineer

NVIDIA Corporation; Austin (TX); On-site; USD 152,000 - 287,500; Full time

Job summary

A technology company is seeking a Senior Deep Learning Framework Communications Engineer in Austin, TX. This role requires extensive experience in software engineering and HPC/AI, particularly with Deep Learning Frameworks like PyTorch. The responsibilities include integrating communication libraries in AI frameworks, analyzing AI workloads for multi-GPU optimization, and designing solutions for large-scale AI workloads. The position offers competitive compensation based on experience, with salary ranges between 152,000 USD and 287,500 USD depending on level.

Qualifications

• 5+ years of software engineering and HPC/AI experience required.
• Development or integration experience with AI frameworks like PyTorch.
• Experience with performance benchmarking on AI clusters.

Responsibilities

• Integrate new communication library features in AI frameworks.
• Perform deep analysis of AI workloads for multi-GPU communication.
• Design solutions for large-scale AI workloads.

Skills

Software engineering experience

Deep Learning Frameworks

HPC/AI experience

Python programming

C++ programming

CUDA

Education

B.S., M.S. or PhD in Computer Science

Tools

NVIDIA Nsight Systems

PyTorch profiler

Job description

Senior Deep Learning Framework Communications Engineer page is loaded## Senior Deep Learning Framework Communications Engineerlocations: US, CA, Santa Clara: US, MA, Westford: US, TX, Austin: US, Remote: US, NC, Durhamtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2011908NVIDIA 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.**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 layoutYour 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 .Applications for this job will be accepted at least until January 26, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.