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Capacity and Performance Engineer

If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs.

KBSkills

ACTIVE

We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance? If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA’s <a href="https://developer.nvidia.com/cudnn" rel="nofollow noopener noreferrer" target="_blank">cuDNN</a>, <a href="https://docs.nvidia.com/cuda/cublas/index.html" rel="nofollow noopener noreferrer" target="_blank">cuBLAS</a>, and <a href="https://developer.nvidia.com/tensorrt" rel="nofollow noopener noreferrer" target="_blank">TensorRT</a>libraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our <a href="https://github.com/NVIDIA/cutlass" rel="nofollow noopener noreferrer" target="_blank">CUTLASS open-source project</a> showcasing performant matrix multiply on NVIDIA’s <a href="https://www.nvidia.com/en-us/data-center/tensorcore/" rel="nofollow noopener noreferrer" target="_blank">Tensor Cores</a> with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:<ul><li>Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)</li><li>Following general software engineering best practices including support for regression testing and CI/CD flows</li><li>Collaborating with teams across NVIDIA:<ul><li>CUDA compiler team on generating optimal assembly code</li><li>Deep learning training and inference performance teams on which layers require optimization</li><li>Hardware and architecture teams on the programming model for new deep learning hardware features</li></ul></li></ul>What we need to see:<ul><li>Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field</li><li>6+ years of relevant industry experience</li><li>Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design</li><li>Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)</li><li>Solid understanding of computer architecture and some experience with assembly programming</li></ul>Ways to stand out from the crowd:<ul><li>Tuning BLAS or deep learning library kernel code</li><li>CUDA/OpenCL GPU programming</li><li>Numerical methods and linear algebra</li><li>LLVM, TVM tensor expressions, or TensorFlow MLIR</li></ul> NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" rel="nofollow noopener noreferrer" target="_blank">benefits</a>. NVIDIA accepts applications on an ongoing basis.</div></div></div></div></div></div></div>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.#deeplearning

Visualize your future . . . We Do 
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

NVIDIA

Senior Performance Software Engineer, Deep Learning Libraries

Algorithms

Artificial Intelligence (AI)

Assembly Language

Best Practices

C++ Programming Language

CUDA (Compute Unified Device Architecture)

Computer Architecture

Computer Engineering

Computer Science

Computer Skills

Computer Systems

Continuous Deployment/Delivery

Continuous Integration

Debugging Skills

Deep Learning

GPU (Graphics Processing Unit)

Hardware Architecture

Kernel Programming

Linear Algebra

Mathematics

Natural Language Processing (NLP)

Open Source

OpenCL

OpenMP

Parallel Programming

Performance Analysis

Regression Testing

Software Design

Software Engineering

Speech Recognition

Test Design

Appcast PX 2

Unclassified Occupations

Placer County is looking for students who are currently enrolled in or recently graduated (up to 1 year after graduation) from a college/university who are interested in being considered for Student Intern assignments. To apply for a Student Intern assignment, please submit an application and complete the supplemental questionnaire indicating the department(s) that relate(s) to your major coursework and outlining your goal(s) for the internship.

Placer County is looking for students who are currently enrolled in or recently graduated (up to 1 year after graduation) from a college/university who are interested in being considered for Student Intern assignments. 1. Current Undergraduate College/University Student a. Student must be enrolled in an accredited 2 or 4 year college or university program.b. Student must submit proof of continuing enrollment (current class schedule, unofficial transcripts, etc.) with their application.2. Recent College Graduate – up to 1 year after graduation a. Recent graduate must submit proof of graduation (diploma, unofficial transcripts, etc.) with their application.3. Current Graduate College/University Student a. Student must be enrolled in an accredited college or university program.b. Student must submit proof of continuing enrollment (current class schedule, unofficial transcripts, etc.) with their application.This is a great opportunity to gain knowledge and learn real life skills related to your major coursework. Assignments are limited. Applications will be screened on a weekly basis. To apply for a Student Intern assignment, please submit an application and complete the supplemental questionnaire indicating the department(s) that relate(s) to your major coursework and outlining your goal(s) for the internship. Please submit your resume and proof of eligibility (unofficial transcripts, current class schedule, confirmation of enrollment, etc.) with your application. This is the general Student Intern recruitment, utilized by all participating County departments. Opportunities may be available in the following departments: <ul><li>Agriculture, Parks, & Natural Resources</li><li>Air Pollution Control District</li><li>Assessor</li><li>Auditor—Controller</li><li>Child Support Services</li><li>Clerk-Recorder/Registrar of Voters</li><li>Community Development Resource Agency</li><li>County Executive Office</li><li>Department of Public Works</li><li>District Attorney</li><li>Facilities Management</li><li>Health and Human Services</li><li>Human Resources</li><li>Information Technology (IT) Services</li><li>LAFCO (Local Agency Formation Commission)</li><li>Library</li><li>Sheriff</li></ul>

Placer County

Student Intern

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