- UpvoteDownvoteShare Job
- Suggest Revision
NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. Familiarity with general HW concepts, Verilog RTL coding and simulations/debug, GPU and SOC Architectures, and Machine Learning/Deep Learning concepts.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science & parallel computing? If this seems like an interesting challenge to you, NVIDIA graphics may be for you.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, building data centers, and enabling other high-performance computing applications.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a networking and virtualization savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing networking solutions for Machine Learning, Deep Learning and Data Analytics workloads on virtualized platforms.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Within NVIDIA, the Silicon Solutions Group (SSG) operates as a dynamic nexus, interfacing across various functions to craft the next generation of NVIDIA GPUs. These efforts fuel breakthrough AI, deep learning (DL), and machine learning (ML) capabilities across various applications.
$356,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Would you like to work with world-class systems architects and deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The position involves the ability to tackle complex multidisciplinary issues with specific focus AI, Machine and Deep Learning. You will apply NVIDIA processing, interconnect products and our more than 450 SDKs and libraries.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In this position, you will research and develop techniques to GPU-accelerate high-performance workloads in the finance domain - primarily focusing on Deep Learning, Machine Learning and Data Analytics applications.
$333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with machine learning domain-specific languages (DSLs), including tile-based languages like Triton for efficient GPU programming and optimization. In this role you will work closely with compiler developers to test new and state of the art deep learning related features and components including crafting and executing unit, functional, and performance tests.
$207,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
- Suggest Revision
12+ overall years of work related experience in AI and Machine learning or high performance computing, CUDA experience. Good to have GenAI / Deep Learning software architecture and frameworks like NeMo.
$546,250 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Solid foundation in machine learning and deep learning. Come join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, building autonomous vehicles, and enabling other high-performance computing applications.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Our day-to-day work involves guiding partners in their adoption of end-to-end Machine Learning and Deep Learning solutions, using NVIDIA's compute, networking, and software stacks.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago
machine learning jobs Company: Nvidia in Windsor-mill, Maryland
FEATURED BLOG POSTS
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
Why is Professionalism Important & How to Be Professional
You might have heard the word professionalism thrown around in the workplace, but do you know what it means? And do you know how to maintain professionalism no matter the circumstances?