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01.12.2024
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Nvidia Senior Applied Engineer AI Graphics United States, Texas
MS or PhD from a leading University in an engineering or Computer Science related subject area (or equivalent experience). 8+ years of experience developing graphics and ray tracing applications. Solid...
Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as GPU porting, data structure innovations, distributed learning technologies....
Collaborate across the company to guide the direction of Accelerated Computing HW/SW by working with architecture, software, and product teams. Drive and deliver innovative technology across several domains such as...
Develop and craft testplans based on architecture and microarchitectural specs. Drive testplan reviews with design/architecture teams. Develop testbenches and checkers based on UVM methodology. Develop RISCV microcode and tests in...
Define, design, and develop GPU system software components with focus on power and performance. Influence next generation GPU architecture and system software by creating internal architecture specification and design specification....
Collaborate across the company to guide the direction of validating Confidential Computing within Nvidia products, working with hardware, software, customers and product teams. Lead CUDA release efforts, gather automation requirements,...
You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes...
MS or PhD from a leading University in an engineering or Computer Science related subject area (or equivalent experience). 8+ years of experience developing graphics and ray tracing applications. Solid...
As a Senior Revenue Data Analyst at NVIDIA, you will be responsible for driving data-driven decisions in a variety of areas related to the revenue lifecycle. Your day-to-day duties will include analyzing and interpreting customer and product-level data, reporting on key performance indicators, developing financial models to inform sales forecasts and customer analysis, and designing and implementing revenue optimization strategies. You will also collaborate with cross-disciplinary teams to drive sales, form strategic alliances, optimize pricing, and develop new revenue streams.
To excel in this role, you will need a combination of technical expertise, critical thinking, and creative problem-solving skills. You should also be comfortable using various analytics tools, be passionate about data-driven decision-making, and have excellent communication and interpersonal skills. The ability to respond quickly to changing trends and customer needs is essential.
This position is the perfect fit for individuals who combine technical aptitude with a passion for the tech industry. Your knowledge of the industry, business strategies, and customer dynamics will make you a valuable asset for NVIDIA. If you have a track record of successfully developing revenue optimization strategies, leading large scale projects to completion, driving data-driven decisions, and collaborating with cross-professional teams, then NVIDIA is the perfect place for you to take your career to the next level.