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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...
As a Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies. Define the verification scope, and contribute to the development...
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...
Evaluate new architecture, feature, and product use cases through a validation and debug lens. Develop and improve methodologies to incorporate new coverage and use case needs. Deliver requirements to SSG,...
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....
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...
Are you looking for the perfect job to elevate your engineering career to the next level? Nvidia, a leading tech company, has an amazing opportunity for a senior research engineer.
This challenging role requires an experienced engineer with expertise in multiple engineering disciplines, such as computer vision, machine learning, deep learning, robotics, and more. The engineer is responsible for researching and developing advanced technologies that will be used to develop future products that will change the way the world utilizes technology. With this position, you will have the opportunity to make real, tangible impacts on the development of new products.
One of the key components of this position is the ability to collaborate and work with multidisciplinary teams. You must be comfortable leading a team, as well as working independently when needed. In addition, excellent communication and teamwork skills are necessary to meet project timelines.
To succeed in this role, the ideal candidate must have a thorough understanding of algorithms, coding, and software engineering. A bachelor’s degree in computer science, engineering, or a related field is a must, and prior experience in a similar role is strongly preferred. Any experience with computer vision, machine learning, deep learning, robotics, or other advanced technologies is a plus.
The Senior Research Engineer role at Nvidia is a unique opportunity to work on groundbreaking projects while developing your engineering skills and having a lasting impact on the world of tech. Join our team today and reap the rewards of an amazing job experience.