Senior Deep Learning Framework Communications Engineer

NVIDIA Corp

Santa Clara, CA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automotive Automation, Benchmarking, C++ Programming Language, CUDA (Compute Unified Device Architecture), Communication Skills, Communications Engineering, Compensation and Benefits, Compiler Technology, Computer Architecture, Computer Science, Computer Skills, Computer Systems, Deep Learning, GPU (Graphics Processing Unit), Hardware Architecture, Inference Engine, JAX (Java API for XML), Kernel Programming, MPI, Memory Hardware, Operating Systems, Parallel Programming, Performance Analysis, Python Programming/Scripting Language, Rapid Prototyping, Reinforcement Learning, Software Engineering, System Architecture, Topology, Writing Skills
LOCATION
Santa Clara, CA
POSTED
30+ days ago

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 NVIDIAs vision?

Job Description

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

Requirements

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

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

Compensation and Benefits

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.

Application Information

Applications for this job will be accepted at least until January 26, 2026. This posting is for an existing vacancy.

NVIDIAs Commitment to Diversity

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.

About the Company

N

NVIDIA Corp

Visualize your future . . . We Do
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
FOUNDED
1993
WEBSITE
http://www.nvidia.com