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Urgent! Senior GPU Supercomputer Scheduler Engineer Job Opening In Austin – Now Hiring NVIDIA
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 adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world.
This is our life’s work, to amplify human imagination and intelligence.
Join us today!
As a member of the GPU/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads.
We seek a technology leader to identify architectural changes and/or completely new approaches for improving HPC schedulers for serving many simultaneous and large multi-node GPU workloads with many complex dependencies.
This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design.
What you'll be doing:
Design and develop enhancements to the HPC batch scheduler(s).
Work extensively with HPC scheduler vendor on bug fixes and feature releases
Provide support to staff and end users to resolve batch scheduler issues
Build and improve our ecosystem around GPU-accelerated computing
Performance analysis and optimizations of deep learning workflows
Develop large scale automation solutions
Root cause analysis and suggest corrective action for problems large and small scales
Finding and fixing problems before they occur
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience with 5+ years of work experience
Strong understanding of HPC batch schedulers, such as Slurm, RTDA or LSF and HPC workflows that use MPI
Significant experience in Programming in C/C++ and advanced scripting in languages such as Python, Go, bash scripting
Established experience in Linux operating system, environment and tools
Accomplished in computer architecture and operating systems
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Experience analyzing and tuning performance for a variety of HPC workloads
In-depth understating of container technologies like Docker, Singularity, Podman
Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
Excellent communication, interpersonal and customer collaboration skills
Ways to stand out from the crowd:
Knowledge in MPI and High-performance computing
Background in RDMA technology
Experience in kernel programming
Open Source Software Contributor
Experience with deep learning frameworks like PyTorch and TensorFlow
Passionate about SW development processes
Want to make what was impossible possible!
You will also be eligible for equity and .
NVIDIA accepts applications on an ongoing basis.
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Unlock Your Senior GPU Potential: Insight & Career Growth Guide
Real-time Senior GPU Jobs Trends in Austin, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior GPU in Austin, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 181569 jobs in United States and 2747 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Senior GPU roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior GPU Supercomputer Scheduler Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior GPU Supercomputer Scheduler Engineer Jobs Austin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior GPU Supercomputer Scheduler Engineer Jobs United States varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior GPU Supercomputer Scheduler Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior GPU Supercomputer Scheduler Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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