Senior Solutions Architect, Machine Learning

NVIDIA
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Job Description

What You’ll Be Doing:

  • A considerable part of the day-to-day job is staying up to date on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud built with the latest NVIDIA GPU supercomputers.
  • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
  • Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will help them build their GPU and DPU-enabled Accelerated Compute datacenters or cloud services to get the most out of their investment.
  • Lead and develop proofs-of-concept (PoCs) for solutions applied to enterprise and industrial applications such as LLM, NLP/NLU, recommender systems, image recognition, video analytics, and DPU applications.
  • Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers to build innovative NVIDIA technology solutions.
  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins for customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.

What We Need To See:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
  • 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
  • Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments; additional experience with DPUs applications development will be beneficial.
  • Deep understanding of dense data center design, including computing, storage, networking, cloud APIs, and IaaS.
  • Ability to multitask efficiently in a dynamic environment.
  • Strong analytical and problem-solving skills.
  • Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
  • Comfortable working in a customer-facing environment.
  • C/C++ and Python programming skills.

Ways To Stand Out From The Crowd:

  • Excellent customer-facing skills and background.
  • Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
  • Development experience with NVIDIA software libraries and GPUs or DPUs.
  • Knowledge of LLM, MLOps, DevOps, and Cloud-oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments, etc.
  • Able to think creatively to debug and solve complex problems.

We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that define the field of ML/DL, data science, and graphics.

The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

Company Info.

NVIDIA

NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

  • Industry
    Cloud computing,Video games,Computer software,Semiconductors,Computer hardware,Consumer electronics,Artificial intelligence
  • No. of Employees
    22,473
  • Location
    2701 San Tomas Expressway, Santa Clara, CA 95050, USA
  • Website
  • Jobs Posted

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NVIDIA is currently hiring Solutions Architect, Machine Learning Jobs in Westford, MA, USA with average base salary of $144,000 - $270,250 / Year.

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