Senior Deep Learning Framework Communications Engineer

NVIDIA; Austin (TX); On-site; USD 152,000 - 241,500; Full time

Job summary

A leading technology company located in Austin, Texas is seeking an experienced individual to integrate communication libraries with AI frameworks and enhance AI performance. The role requires 5+ years in software engineering, proficiency in deep learning frameworks like PyTorch, and adaptability in a dynamic environment. The salary ranges from $152,000 to $241,500 depending on experience, with additional equity and benefits offered. Interested candidates should apply by April 8, 2026.

Qualifications

• 5+ years of experience in software engineering and HPC/AI.
• Experience with deep learning frameworks such as PyTorch and JAX.
• Solid grasp of AI models and compiler technologies.

Responsibilities

• Integrate new communication libraries features in AI frameworks.
• Conduct in-depth AI workload performance characterization.
• Design fault-tolerant solutions for AI workloads.

Skills

Software engineering

AI frameworks

Deep Learning Frameworks

Python

C++

CUDA

Education

B.S., M.S. or Ph.D. in Computer Science or related field

Tools

PyTorch

NVIDIA Nsight Systems

Job description

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.

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 Ph.D. 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 as 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 vs 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 time zones

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 – $241,500 for Level 3, and $184,000 – $287,500 for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 8, 2026.

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.