Senior Gpu Supercomputer Scheduler Engineer jobs at Nvidia
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1,362 jobs found
09.09.2025
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Nvidia Senior Computer Vision VLM Performance Engineer United States, Texas
Develop, profile and optimize inference pipelines for VLMs and other AI CV models: improve throughput and latency, data loading, pre- and post-processing. Improve the efficiency of VLM models themselves: kernel...
Leading technical relationships with CTOs, product managers, and developers across power generation partners including nuclear/SMR, gas/steam, renewables, hydro, and storage—to accelerate adoption of NVIDIA platforms (CUDA, Omniverse, Modulus/Physics-ML, RAPIDS, Triton/TensorRT,...
Developing and triaging platform drivers which goes into SOCs. Building sophisticated automation triage tools and isolating issues for FW and OS drivers. Supporting OS driver development, bring up and triaging...
Leading, coaching, and developing a team of engineers to deliver high-performance, reliable, and maintainable automation and workflow solutions. Driving technical direction, code quality, and engineering best practices across the team,...
You'll be part of a small and dynamic team that explores innovative ways to make GPU and DPU accelerated applications easier to develop, deploy, and monitor. Work on enabling GPUs...
Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems. Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in...
Bachelors of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or related field or equivalent experience. 5+ years of relevant software development experience. Excellent C/C++ programming and software...
Develop, profile and optimize inference pipelines for VLMs and other AI CV models: improve throughput and latency, data loading, pre- and post-processing. Improve the efficiency of VLM models themselves: kernel...
As the Senior GPU Supercomputer Scheduler Engineer at NVIDIA, you will lead the analysis, design, and development of a supercomputer scheduling platform. You will work with a highly experienced team of engineers to ensure the smooth functioning of the platform and the development of new features.
In this role, you will understand the job requirements and provide application and cluster scheduling solutions that meet customer needs. You will also be responsible for creating and integrating software components and performing tuning activities to optimize the performance of the scheduler.
You will work closely with software architectures, product managers, and customers to ensure that the job scheduling process is complete and correct. You will also manage resources within the system and generate reports to monitor the performance and utilization of the system.
As the Senior GPU Supercomputer Scheduler Engineer, you will be expected to develop expertise on all supported architectures, including NVIDIA GPU-based systems, Intel processors, AMD processors, and more. You will also be expected to be at the forefront of developing innovative solutions to improve customer experience and maximize system utilization.
This is a highly technical role and requires an individual who is highly organized and capable of managing large amounts of data. You must have excellent problem-solving skills and the ability to troubleshoot complex problems quickly. The successful candidate must also have extensive knowledge of distributed computing, operating systems, and computer science fundamentals.
At NVIDIA, we strive to provide our customers with cutting-edge technology solutions, and you will be part of a highly motivated team dedicated to achieving that goal. If you have what it takes, we look forward to helping you join our world-class team.