Software Engineer, DGX Cloud AI Infrastructure

In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations.

What you’ll be doing:

• Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads.
• Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks.
• Perform root-cause analysis of failures in large distributed environments
• Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster.
• Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms.
• Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams.
• Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization.

• Bachelor’s or Master’s in Computer Science or a related technical field (or equivalent experience).
• Experience developing software for AI, HPC, or systems-level applications.
• Hands-on experience with multi-GPU or multi-node workloads and CUDA-aware distributed execution.
• Background with debugging and scaling distributed systems.
• Experience debugging and triaging AI applications across the full stack, from the application level toward the hardware.
• Experience operating workloads in scheduled, containerized cluster environments.
• Excellent analytical, debugging, and communication skills, and a collaborative approach across teams.
• Strong Python and C/C++ programming skills.

Ways to stand out from the crowd:

• Hands-on experience with NCCL and CUDA-aware distributed execution.
• Deep familiarity with the RDMA software stack (NCCL, IB verbs, UCX, libfabric) and with InfiniBand / RoCE congestion debugging.
• Experience building acceptance tests, benchmark harnesses, regression gates, or cluster qualification tooling for AI platforms, including MLPerf.
• Experience diagnosing performance jitter
• Experience building resilience, fault-detection, or failure-attribution systems for datacenter-scale infrastructure., Acceptance Testing, Analysis Skills, Artificial Intelligence (AI), Automation, Benchmarking, C Programming Language, C++ Programming Language, CUDA (Compute Unified Device Architecture), Cloud Computing, Communication Skills, Computer Programming, Computer Science, Debugging Skills, Deep Learning, Distributed Computing, Failure Analysis, GPU (Graphics Processing Unit), Identify Issues, Machine Tool, Modeling Languages, Multiplatform/Cross-Platform, Network Operations Center, Python Programming/Scripting Language, Return on Capital Employed (ROCE), Root Cause Analysis, Software Engineering, Team Player

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run., NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative, autonomous, and love a challenge, we want to hear from you., 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