Senior System Software Engineer - GPU Performance job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Job Senior System Software Engineer - GPU Performance position at NVIDIA


DatePosted 6 Days Ago bot
NVIDIA Senior System Software Engineer - GPU Performance
Experience: General
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeOND
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

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 the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information Collaborate with a very dynamic team across multiple time zones What we need to see: M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) Experience conducting performance benchmarking and triage on large scale HPC clusters Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals) Implement micro-benchmarks in C/C++, read and modify the code base when required Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker) 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: Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control Experience debugging network issues in large scale deployments Familiarity with CUDA programming and/or GPUs Experience with Deep Learning Frameworks such PyTorch, TensorFlow 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 February 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.

Other Ai Matches

Senior Digital Design Engineer Applicants are expected to have a solid experience in handling Job related tasks
Formal Verification Engineer - New College Grad 2026 Applicants are expected to have a solid experience in handling Job related tasks
System Software Engineer, Tegra SoC Products Applicants are expected to have a solid experience in handling Tegra SoC Products related tasks
Senior Software Engineer, Profiling Services Applicants are expected to have a solid experience in handling Profiling Services related tasks
Senior Circuit Design Engineer - Noise Applicants are expected to have a solid experience in handling Job related tasks
Business Development Leader – Cloud Partner Strategy and Enablement Applicants are expected to have a solid experience in handling Job related tasks
Developer Relations Manager, Inception Program Startups Applicants are expected to have a solid experience in handling Inception Program Startups related tasks
Senior Silicon and System Product Lead Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Senior Software Engineer Aerial Platform Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Inception Community Manager Applicants are expected to have a solid experience in handling Job related tasks
Senior Formal Verification Engineer Applicants are expected to have a solid experience in handling Job related tasks
Solutions Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Architect, Humanoid Robotics Applicants are expected to have a solid experience in handling Humanoid Robotics related tasks
ASIC Design Verification Engineer - New College Grad 2026 Applicants are expected to have a solid experience in handling Job related tasks
Server Factory Planner Applicants are expected to have a solid experience in handling Job related tasks
Manager, Large Language Model Inference Applicants are expected to have a solid experience in handling Large Language Model Inference related tasks
Solutions Architect, Generative AI Applicants are expected to have a solid experience in handling Generative AI related tasks
Photonic Design Engineer Intern - Summer 2026 Applicants are expected to have a solid experience in handling Job related tasks
Senior Technical Program Manager – VLSI Applicants are expected to have a solid experience in handling Job related tasks
Manager, Hardware Offensive Security - Silicon Architecture Applicants are expected to have a solid experience in handling Hardware Offensive Security - Silicon Architecture related tasks
Datacenter GPU Power Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior AI and ML HPC Cluster Engineer Applicants are expected to have a solid experience in handling Job related tasks
System Software Engineer - Secure Cryptographic Services Applicants are expected to have a solid experience in handling Job related tasks