Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and ...
Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and ...
Entry Level Cuda information
What is an entry level CUDA job?
What are some common challenges faced by entry level CUDA developers when starting in this role?
What are the key skills and qualifications needed to thrive as an entry level CUDA developer, and why are they important?
What is the difference between Entry Level Cuda vs Entry Level Data Analyst?
| Aspect | Entry Level Cuda | Entry Level Data Analyst |
|---|---|---|
| Required Credentials | CUDA programming knowledge, basic understanding of GPU computing | Basic statistics, Excel, SQL, possibly some programming (Python, R) |
| Work Environment | Tech companies, research labs, industries utilizing GPU acceleration | Business, finance, marketing, tech firms analyzing data |
| Industry Usage | High in AI, machine learning, scientific computing | Broad across various sectors for data-driven decision making |
| Common Search/Comparison | Yes | Yes |
Entry Level Cuda roles focus on GPU programming and parallel computing, often in tech and research environments. Entry Level Data Analyst positions involve data interpretation, reporting, and basic analytics skills across multiple industries. While both are entry-level, Cuda roles require technical GPU knowledge, whereas Data Analyst roles emphasize data handling and visualization skills.
Are entry level CUDA programmers in demand?
What are the most commonly searched types of Cuda jobs in Seattle, WA?
The most popular types of Cuda jobs in Seattle, WA are:
What are popular job titles related to Entry Level Cuda jobs in Seattle, WA?
For Entry Level Cuda jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Cuda jobs in Seattle, WA look for?
The top searched job categories for Entry Level Cuda jobs in Seattle, WA are:
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Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
7th of 246 rated software companies
Job description
We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.
What you will be doing:
Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++
Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools
Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages
What we need to see:
B.S. or degree in Computer Science/Engineering or equivalent experience
2+ years of compiler code generation experience
Excellent hands-on C++ programming skills
Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
Good communication and documentation skills and self-motivated
Ways to stand out from the crowd:
M.S./PhD. with significant compiler related project or thesis work preferred
Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993