As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies. * Contribute ...
As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies. * Contribute ...
... GPU-accelerated compute environmentsManage networking infrastructure including switches, VPNs, firewalls, and secure communicationsTroubleshoot hardware, software, and systems integration issues ...
... GPU-accelerated compute environmentsManage networking infrastructure including switches, VPNs, firewalls, and secure communicationsTroubleshoot hardware, software, and systems integration issues ...
... GPU-accelerated compute environmentsManage networking infrastructure including switches, VPNs, firewalls, and secure communicationsTroubleshoot hardware, software, and systems integration issues ...
... GPU-accelerated compute environmentsManage networking infrastructure including switches, VPNs, firewalls, and secure communicationsTroubleshoot hardware, software, and systems integration issues ...
DevOps Engineer
Huntsville, AL · On-site
$52.25 - $71.75/hr
Responsibilities : • Build and maintain GPU-capable development environments and containerized workflows. • Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and ...
DevOps Engineer
Huntsville, AL · On-site
$52.25 - $71.75/hr
Responsibilities : • Build and maintain GPU-capable development environments and containerized workflows. • Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and ...
... GPU-accelerated compute environments Manage networking infrastructure including switches, VPNs, firewalls, and secure communications Troubleshoot hardware, software, and systems integration issues ...
Quick apply
... GPU-accelerated compute environments Manage networking infrastructure including switches, VPNs, firewalls, and secure communications Troubleshoot hardware, software, and systems integration issues ...
... GPU-accelerated compute environments Manage networking infrastructure including switches, VPNs, firewalls, and secure communications Troubleshoot hardware, software, and systems integration issues ...
... GPU-accelerated compute environments Manage networking infrastructure including switches, VPNs, firewalls, and secure communications Troubleshoot hardware, software, and systems integration issues ...
... GPU-accelerated compute environments • Manage networking infrastructure including switches, VPNs, firewalls, and secure communications • Troubleshoot hardware, software, and systems integration ...
... GPU-accelerated compute environments • Manage networking infrastructure including switches, VPNs, firewalls, and secure communications • Troubleshoot hardware, software, and systems integration ...
DevOps Engineer
Huntsville, AL · On-site
$120K - $165K/yr
Build and maintain GPU-capable development environments and containerized workflows. * Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and deployment. * Implement and ...
Quick apply
DevOps Engineer
Huntsville, AL · On-site
$120K - $165K/yr
Build and maintain GPU-capable development environments and containerized workflows. * Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and deployment. * Implement and ...
Radar Software Engineer
Huntsville, AL · On-site
... GPU programming • Electronic attack/electronic protection • Test automation Company : IERUS, at its core, is a high-end technology firm. Founded in 2008, the company is headquartered in ...
Radar Software Engineer
Huntsville, AL · On-site
... GPU programming • Electronic attack/electronic protection • Test automation Company : IERUS, at its core, is a high-end technology firm. Founded in 2008, the company is headquartered in ...
Software Engineer, Senior
Huntsville, AL · On-site
$100 - $130/hr
Experience with GPU programming and parallel processing technologies, including CUDA. * Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Software Engineer, Senior
Huntsville, AL · On-site
$100 - $130/hr
Experience with GPU programming and parallel processing technologies, including CUDA. * Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Debug, profile, and optimize GPU/CPU code for low-latency, real-time performance.QualificationsClearance: Active DoD Secret Clearance is required.Education: Bachelor's degree in Computer Science ...
Quick apply
Debug, profile, and optimize GPU/CPU code for low-latency, real-time performance.QualificationsClearance: Active DoD Secret Clearance is required.Education: Bachelor's degree in Computer Science ...
Software Engineer - OpenGL / Graphics - Secret Clearance Required
Huntsville, AL · On-site
$90 - $140/hr
Debug, profile, and optimize GPU/CPU code for low-latency, real-time performance. Qualifications * Clearance: Active DoD Secret Clearance is required. * Education: Bachelor's degree in Computer ...
New
Software Engineer - OpenGL / Graphics - Secret Clearance Required
Huntsville, AL · On-site
$90 - $140/hr
Debug, profile, and optimize GPU/CPU code for low-latency, real-time performance. Qualifications * Clearance: Active DoD Secret Clearance is required. * Education: Bachelor's degree in Computer ...
New
Software Engineer, SME
Huntsville, AL · On-site
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Software Engineer, SME
Huntsville, AL · On-site
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
In this entry-level role, you will receive direct mentorship while writing modern C++ software, learning GPU acceleration (CUDA), running simulation test suites, and integrating digital models into ...
New
In this entry-level role, you will receive direct mentorship while writing modern C++ software, learning GPU acceleration (CUDA), running simulation test suites, and integrating digital models into ...
New
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
In this entry-level role, you will receive direct mentorship while writing modern C++ software, learning GPU acceleration (CUDA), running simulation test suites, and integrating digital models into ...
New
In this entry-level role, you will receive direct mentorship while writing modern C++ software, learning GPU acceleration (CUDA), running simulation test suites, and integrating digital models into ...
New
RESEARCH SOFTWARE ARCHITECT-ENT
Birmingham, AL · On-site
$110 - $170/hr
Designing custom research architectures that support GPU workloads, largescale computing, and advanced AI model experimentation. scale compute, and advanced AI model experimentation. Supporting ...
New
RESEARCH SOFTWARE ARCHITECT-ENT
Birmingham, AL · On-site
$110 - $170/hr
Designing custom research architectures that support GPU workloads, largescale computing, and advanced AI model experimentation. scale compute, and advanced AI model experimentation. Supporting ...
New
Software Engineer, SME
Huntsville, AL · On-site
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Software Engineer, SME
Huntsville, AL · On-site
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Software Engineer, Senior
Huntsville, AL · On-site
$114K - $150K/yr
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Software Engineer, Senior
Huntsville, AL · On-site
$114K - $150K/yr
Experience with GPU programming and parallel processing technologies, including CUDA. Demonstrated experience developing, integrating, testing, and validating software applications and tools.
Gpu information
What is a GPU?
A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.
What is a GPU engineer?
A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.
What are the key skills and qualifications needed to thrive as a GPU engineer?
To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.
What are some common challenges faced by GPU engineers when optimizing performance for various applications?
GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.
What is the difference between Gpu vs Data Scientist?
| Aspect | Gpu | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of parallel computing, programming skills (CUDA, OpenCL) | Degree in Computer Science, Statistics, or related fields; programming skills |
| Work Environment | Hardware-focused, technical, often in R&D or engineering teams | Data analysis, modeling, research in various industries |
| Industry Usage | Tech, gaming, AI, machine learning | Finance, healthcare, tech, marketing |
Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.
How to get into the graphics processing unit industry?
To enter the GPU industry, candidates typically need a strong background in computer engineering, electrical engineering, or computer science, with skills in programming languages like C++ and knowledge of graphics APIs such as DirectX or Vulkan. Relevant experience can be gained through internships, projects, or certifications in hardware design, GPU architecture, or related fields. Staying updated on industry developments and obtaining certifications like NVIDIA's or AMD's developer programs can also enhance job prospects.
What are the most commonly searched types of Gpu jobs in Alabama?
The most popular types of Gpu jobs in Alabama are:
What are popular job titles related to Gpu jobs in Alabama?
For Gpu jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Gpu jobs in Alabama look for?
The top searched job categories for Gpu jobs in Alabama are:
What cities in Alabama are hiring for Gpu jobs?
Cities in Alabama with the most Gpu job openings:
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 245 rated software companies
Job description
We are now looking for a Senior ASIC Engineer! NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world's top SoCs and GPUs. This position provides an opportunity to influence a dynamic technology company's products, from consumer graphics to autonomous vehicles. Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives innovation in modern computing. Our team of remarkable professionals works worldwide, aiming to push the boundaries of today's possibilities and shape the future computing platform.
As a member of the MMU team, you will contribute to the development and implementation of a state-of-the-art memory management system with complex build requirements. Our approach delivers the performance required by autonomous vehicles, photo-realistic games and applications, as well as the world's leading supercomputers!
What you'll be doing:
As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies.
Contribute to architecture decisions.
Mentor other engineers on the team.
Collaborate with architects, designers, and software engineers across sites to accomplish your goals.
What we need to see:
Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
5+ years of relevant work or research experience.
Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies.
Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Synopsys).
A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog.
Strong communication skills are required.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.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