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NVIDIA
Santa Clara, CA, United States
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
Job Source: NVIDIAASRC Federal Holding Company
Mountain View, CA, United States
Job Description ASRC Federal is searching for a Senior HPC Engineer to support Inuteq LLC which this role is fully telework ASRC Federal InuTeq provides High Performance Computing services throughout the HPC lifecycle for computational requirements, architecture, acquisition, and operations to federal government customers. Our employees embrace i
Job Source: ASRC Federal Holding CompanyNVIDIA
Santa Clara, CA, United States
NVIDIA is searching for a Senior Software Engineer, DevOps Infrastructure Engineering and Automation engineer for the bringing up, development and prototyping a class of products and services for our Metropolis platforms on multi cloud environments and on-Prem. Data is the lifeblood of the modern city. Today, it is captured by over 500 million came
Job Source: NVIDIANVIDIA Corporation
Santa Clara, CA, United States
Senior HPC Performance Engineer page is loaded Senior HPC Performance Engineer Apply locations US, CA, Santa Clara time type Full time posted on Posted 2 Days Ago job requisition id JR1977468 NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visua
Job Source: NVIDIA CorporationAmpstek
Mountain View, CA, United States
Title: HPC hardware development consultant Location: Mountain View CA- Onsite Domain: Automotive High-performance computing (HPC) Extensive experience (7+ years) in HPC hardware development and embedded systems, particularly in automotive applications. Design of computer PCBs for automotive systems. Work with component suppliers to select and suppo
Job Source: AmpstekZealogics
San Jose, CA, United States
Job Responsibilities Candidates should have good domain knowledge in High-Performance Computing, script language(Shell, Python), Linux administrator, operating systems (Linux, Windows), computer network Distributed file systems (Lustre/NFS), virtualization and containerization related experience is a plus Configuration and maintenance of the HPC co
Job Source: ZealogicsNVIDIA
Santa Clara, CA, United States
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by
Job Source: NVIDIAcontextual ai
Mountain View, CA, United States
Job Overview As a DevOps Engineer, you will play a crucial role ensuring the reliability, scalability, and performance of our RAG 2.0-based product and our HPC cluster. You will collaborate closely with our product and research engineering teams to design and implement processes and systems that ensure the stability and availability of our service
Job Source: contextual aiSanta Clara, CA, United States
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 and NVSHMEM for Deep Learning and HPC applications. We are looking for a motivated DevOps and Automation Engineer to help us increase our execution efficiency. Most DL and HPC applications run on large clusters with high-speed networking (Infiniband, RoCE). This is an outstanding opportunity going beyond the traditional DevOps roles and responsibilities. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision?
What You Will Be Doing
As a Senior Software Engineer in the GPU Communications Group, you will utilize your knowledge and expertise in high availability network software to create, enhance, and maintain our GPU communication solutions. You will:
Maintain and improve CI/CD systems (Gitlab, Github, Perforce)
Develop tools and automation to deploy testing on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)
Maintain internal cluster servers and Infiniband/RoCE networks
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
B.S. or M.S. in Computer Science, or related field and 5+ years of relevant experience
Excellent C/C++ programming and debugging skills
Expert in a scripting language, preferably Python
Proficient with Linux fundamentals
Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)
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
Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters
Good understanding of Infiniband/RoCE networks and experience debugging network configuration issues
Familiarity with CUDA programming and/or GPUs. Experience with Deep Learning Frameworks such PyTorch, TensorFlow. Deep understanding of technology and passionate about what you do
The base salary range is 144,000 USD - 270,250 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.
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Email Alert for Senior DevOps and Automation Engineer - HPC jobs in Santa Clara, CA, United States
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