Senior Deep Learning Systems Engineer, Datacenters job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Datacenters Senior Deep Learning Systems Engineer, Datacenters position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Senior Deep Learning Systems Engineer, Datacenters
Experience: 8-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Datacenters

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

As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. The role of a Deep Learning Systems Engineer would be to analyze the performance and power consumption of deep learning applications on datacenter-class hardware and significantly influence the design and optimization of datacenters. Do you want to influence the development of high-performance Datacenters designed for the future of AI? Do you have an interest in system architecture and performance? In this role you will find how CPU, GPU, networking, and IO relate to deep learning (DL) architectures for Natural Language Processing, Computer Vision, Autonomous Driving and other technologies. Come join our team, and bring your interests to help us optimize our next generation systems and Deep Learning Software Stack. What you'll be doing: Help develop software infrastructure to characterize and analyze a broad range Deep Learning applications Evolve cost-efficient datacenter architectures tailored to meet the needs of Large Language Models (LLMs). Work with experts to help develop analysis and profiling tools in Python, bash and C++ to measure key performance metrics of DL workloads running on Nvidia systems. Analyze system and software characteristics of DL applications. Develop analysis tools and methodologies to measure key performance metrics and to estimate potential for efficiency improvement. What we need to see: A Bachelor’s degree in Electrical Engineering or Computer Science or equivalent experience (Masters or PhD degree preferred). 8 years or more of relevant experience. Experience in at least one of the following: System Software: Operating Systems (Linux), Compilers, GPU kernels (CUDA), DL Frameworks (PyTorch, TensorFlow). Silicon Architecture and Performance Modeling/Analysis: CPU, GPU, Memory or Network Architecture Experience programming in C/C++ and Python. Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm) is a plus. A deep understanding of computer system architecture and performance analysis is essential for success in this role. Applicants should have demonstrated hands-on experience in these domains. Demonstrated ability to work in virtual environments, and a strong drive to own tasks from beginning to end. Prior experience with such environments will make you stand out. Ways to stand out from the crowd: Background with system software, Operating system intrinsics, GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow). Experience with silicon performance monitoring or profiling tools (e.g. perf, gprof, nvidia-smi, dcgm). In depth performance modeling experience in any one of CPU, GPU, Memory or Network Architecture Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm). Prior experience with multi-site teams or multi-functional teams. 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 on the planet working for us. If you're creative and autonomous, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 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 Embedded Solutions Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Kernel Software Performance Architect Applicants are expected to have a solid experience in handling Job related tasks
Implementation Methodology Engineer - GPU Applicants are expected to have a solid experience in handling Job related tasks
Senior Solutions Architect, Infrastructure Applicants are expected to have a solid experience in handling Infrastructure related tasks
Software Manager, ITPE Applicants are expected to have a solid experience in handling ITPE related tasks
Global Head of Business Development, Digital Health Applicants are expected to have a solid experience in handling Digital Health related tasks
Senior Product Marketing Manager - Data Processing Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Performance Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior Product Manager, AI Infrastructure Software Applicants are expected to have a solid experience in handling AI Infrastructure Software related tasks
Venture Associate MBA Intern - Summer 2026 Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Compiler Engineer - PyTorch Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Senior Quantum Algorithm Researcher Applicants are expected to have a solid experience in handling Job related tasks
Senior HPC and Quantum Systems Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Solutions Architect, NVIS Customer Infrastructure Management Applicants are expected to have a solid experience in handling NVIS Customer Infrastructure Management related tasks
Principal Product Manager, AI Frameworks Applicants are expected to have a solid experience in handling AI Frameworks related tasks
Senior Tools Development Engineer Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Software Architecture Engineer Applicants are expected to have a solid experience in handling Job related tasks
Principal Quantum Error Correction Research Scientist, Applied Research Applicants are expected to have a solid experience in handling Applied Research related tasks
Manager, AI Agents and Applied Research Applicants are expected to have a solid experience in handling AI Agents and Applied Research related tasks
Server Firmware Developer (RDSS Intern) Applicants are expected to have a solid experience in handling Job related tasks
Software Solutions Engineer - Cloud and Graphics Technologies Applicants are expected to have a solid experience in handling Job related tasks
Senior System Software Engineer, GPU Performance Profiling Applicants are expected to have a solid experience in handling GPU Performance Profiling related tasks
Senior Software Engineer, ASIC Design and Verification Tools Applicants are expected to have a solid experience in handling ASIC Design and Verification Tools related tasks