Hillsboro, OR · On-site
$152K/yr
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.
Hillsboro, OR · On-site
$152K/yr
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.
OR · On-site
$121K - $163K/yr
We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last
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.
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.
OR · On-site
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.
OR · On-site
$122K - $161K/yr
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern
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.
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.
An applied research team within NVIDIA's Networking Systems & Software Architecture group is solving some of AI's hardest infrastructure problems. The team builds systems-level software that moves
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern
OR · On-site
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.
OR · On-site
$104K - $143K/yr
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized
OR · Hybrid
At NVIDIA, we aren't just powering the AI revolution-we're accelerating it. The TensorRT inference platform is the backbone of modern AI, delivering the industry's fastest and most efficient
OR · On-site
$60 - $78/hr
Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under
OR · Hybrid
NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing the boundaries of accelerated computing! We empower developers with groundbreaking solutions while
OR · On-site
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.
OR · On-site
$129K - $175K/yr
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and
OR · On-site
We are looking for a Developer Relations Manager to drive strategic partnerships with developer communities, strategic partners, and ISVs with a focus on NVIDIA BioNeMo for generative AI in drug
OR · On-site
$63 - $83/hr
We are looking for a Solutions Architect to join a team to engage with customers, partners, and other NVIDIA software engineers to collaborate with developers and support applications and platforms
OR · On-site
We are looking for a Solutions Architect to join a team to engage with customers, partners, and other NVIDIA software engineers to collaborate with developers and support applications and platforms
OR · On-site
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.
Hillsboro, OR · On-site
$133K - $175K/yr
NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem
Hillsboro, OR · On-site
$133K - $175K/yr
NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem
$29.48 - $34.68
5% of jobs
$34.68 - $39.88
10% of jobs
$39.88 - $45.08
9% of jobs
$46.19 is the 25th percentile. Wages below this are outliers.
$45.08 - $50.28
7% of jobs
$50.28 - $55.48
15% of jobs
The median wage is $57.08 / hr.
$55.48 - $60.67
14% of jobs
$65.39 is the 75th percentile. Wages above this are outliers.
$60.67 - $65.87
17% of jobs
$65.87 - $71.07
14% of jobs
$71.07 - $76.27
6% of jobs
$76.27 - $81.47
3% of jobs
$81.47 - $86.67
0% of jobs
$29
$57
$86
| Aspect | Cuda Programming | GPU Developer |
|---|---|---|
| Required Credentials | Knowledge of CUDA, C/C++, parallel computing | Knowledge of GPU architecture, CUDA, OpenCL, C/C++ |
| Work Environment | High-performance computing, scientific research, AI | Graphics, gaming, scientific visualization, AI |
| Industry Usage | Tech companies, research labs, AI firms | Gaming, entertainment, tech, research |
While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.
$152K/yr
Full-time
Posted 16 days ago
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 tightly coupled CPU, GPU and DPU technology 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture. With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips.
What you will be doing:
Design, develop, test, and optimize software for our next-generation SoCs, in both pre-silicon and post-silicon phases of execution.
Analyze and identify performance bottlenecks in the SOC.
Using strong communication skills, analysis documents and communications to internal and/or external audiences about our technology.
Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors.
Develop tools and use benchmarks to analyze performance
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).
2+ years of relevant computer architecture or SW development experience.
Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.
Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.
Experience in performance analysis, data analysis and performance optimization.
Ways to stand out from the crowd:
Expertise in ARM architecture and SW ecosystem.
Proficient in analyzing, debugging and tuning performance of complex system software stacks.
Experience with CPU server system workloads and performance analysis.
Familiarity with CUDA programming and/or GPUs.
Experience with HPC or large-scale computing environments.
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.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 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.
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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
