Senior Gpu Supercomputer Scheduler Engineer jobs at Nvidia
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Innovate across the entire VLSI flow to make incremental recovery and optimization fast and seamless. This will primarily involve C++ and includes improving or replacing in-house algorithms for steps such...
Develop reliable, redundant, and safety-critical algorithms for behavior and motion planning on highways and urban roads. Work on fundamental problems in redundant actuation, degraded operation, and fail-safe control. Architect, design,...
Develop mythologies and flows to validate constraints with industry-standard tools (e.g., PrimeTime, SNPS TCM ) and debug anomalies in timing reports. Support tapeout-quality STA environments that are scalable, reusable, and...
Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (Multi-distro), with...
Develop software in modern C++ and various scripting languages to enable design and development of software enabling efficient test pattern generation, application of these patterns on Silicon, failure analysis, and...
Program Leadership and Execution: Own the planning, development, and management of project schedules and deliverables. Ensure meticulous management of tasks, dependencies, and breakthroughs to achieve program objectives on schedule. Design...
Demonstrate your programming background to manage & manipulate complex datasets to assess performance, power, yield, and quality improvements for NVIDIA's family of chips and products. Partner with the internal Tools...
Innovate across the entire VLSI flow to make incremental recovery and optimization fast and seamless. This will primarily involve C++ and includes improving or replacing in-house algorithms for steps such...
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.