Senior Deep Learning Systems Software Engineer - AI Infrastructure

Santa Clara, CA, United States

Senior Deep Learning Systems Software Engineer - AI Infrastructure page is loaded Senior Deep Learning Systems Software Engineer - AI Infrastructure Apply locations US, CA, Santa Clara US, Remote time type Full time posted on Posted 2 Days Ago job requisition id JR1980485 NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence 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. NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of all facets of Deep Learning such as training and inferencing, one of today's most important workloads in the world. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds.

What you'll be doing:

Understand, analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms.

Build tools to automate workload analysis, workload optimization, and other critical workflows.

Collaborate with cross-functional teams to analyze and optimize cloud application performance on diverse GPU architectures.

Identify bottlenecks and inefficiencies in application code and propose optimizations to enhance GPU utilization.

Drive end-to-end platform optimization from a hardware level to the application and service levels

Design and implement performance benchmarks and testing methodologies to evaluate application performance.

Provide guidance and recommendations on optimizing cloud-native applications for speed, scalability, and resource efficiency.

Share knowledge and best practices with domain expert teams as they transition applications to distributed environments.

What we need to see:

Masters in CS, EE or CSEE or equivalent experience

8+ years of experience in application performance engineering

Experience using large scale multi node GPU infrastructure on premise or in CSPs

Background in deep learning model architectures and experience with Pytorch and large scale distributed training

Experience with application profiling tools such as NVIDIA NSight, Intel VTune etc.

Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture. Experience with NVIDIA's Infrastructure and software stacks.

Proven experience analyzing, modeling and tuning DL application performance.

Proficiency in Python and C/C++ for analyzing and optimizing application code

Ways to stand out from the crowd:

Strong fundamentals in algorithms and GPU programming experience (CUDA or OpenCL)

Understanding of NVIDIA's server and software ecosystem

Hands-on experience in performance optimization and benchmarking on large-scale distributed systems

Hands-on experience with NVIDIA GPUs, HPC storage, networking, and cloud computing.

In-depth understanding storage systems, Linux file systems, RDMA networking

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 and autonomous, we want to hear from you.

The base salary range is 176,000 USD - 333,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

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. Similar Jobs (5) Senior Infrastructure Software Engineer, Deep Learning Libraries locations 2 Locations time type Full time posted on Posted 30+ Days Ago Senior Deep Learning Infrastructure Engineer locations 2 Locations time type Full time posted on Posted Today Senior Software Engineer, Deep Learning Inference Workflows locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

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