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Job Type
Full Time -
Experience
2-4 year -
Salary
$100,000 - $224,250 / Year -
Location
Santa Clara, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Degree in Electrical Engineering
Key Skills
C Programming, C++, CUDA/GPU programming, Data Analytics, Deep Learning, High performance computing- HPC, Machine learning techniques, OpenCL, Perl Programming, Python Programming
Job Description
We are now looking for a Deep Learning Architect - New College Grad. NVIDIA is seeking creative programmers and architects who love to squeeze out every cycle of performance from deep learning codes. The team is doing groundbreaking development around computer architecture; building GPU’s that are better at deep learning, as well as writing performance optimized code that will be built into all our major libraries. If you someone with a deep understanding of architecture performance, and you enjoy working at the intersection of hardware and software, and you're passionate about deep learning, this role may be a great one for you. We are at the forefront of this industry space and would love a chance to talk to you about the work we are doing. In this role, you will write code that ships in our deep learning libraries, as well as guide the course of our future GPU architectures. This position offers the opportunity to have real impact in a dynamic, technology-focused company.
What you’ll be doing:
- Develop innovative HW, DSP, GPU and system architectures to extend the state of the art in deep learning performance and efficiency
- Analyze and prototype key deep learning and data analytics algorithms and applications
- Understand and analyze the interplay of hardware and software architectures on future algorithms and applications
- Collaborate across the company to guide the direction of machine learning, working with software, research and product teams
What we need to see:
- Pursuing a MS or PhD in a relevant discipline (CS, EE, Math) or equivalent experience
- Strong mathematical foundation in machine learning and deep learning
- Expert programming skills in C, C++, Perl, or Python
- Familiarity with GPU computing (CUDA, OpenCL) and HPC (MPI, OpenMP)
- Strong knowledge and coursework in computer architecture
Ways to stand out from the crowd:
- Background with systems-level performance modeling, profiling, and analysis
- Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 100,000 USD - 224,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Company Info.
NVIDIANVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
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IndustryCloud computing,Video games,Computer software,Semiconductors,Computer hardware,Consumer electronics,Artificial intelligence
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No. of Employees22,473
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Location2701 San Tomas Expressway, Santa Clara, CA 95050, USA
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Website
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Jobs Posted
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