151 applicants

Company

NVIDIA · 4 days ago

Solutions Architect, Generative AI Specialist

Colorado, United States

Full-time

Remote

Senior Level

$120K/yr - $276K/yr

5+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

A big part of our day-to-day job is developing end-to-end Machine Learning & Deep Learning solutions and recipes that enable Enterprise use cases. We work with customers to successfully adopt NVIDIA AI SDKs and APIs by providing deep technical product expertise.

We solve customer problems by creating solutions using our innovative technology for Machine Learning and Deep Learning including Large Language Models, Computer Vision systems, Recommender systems, and Advanced Generative AI systems.

As we work with customers across multiple industries, we identify common trends that lead to success. With this knowledge, we help improve NVIDIA products and build creative solutions to overcome adoption challenges.

We contribute to the wider organization and community by sharing our expert knowledge with others. This can vary from building hands-on training to writing papers, developer blogs, and teaching.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Deep LearningMachine LearningTensorFlowPyTorchPythonC/C++BashCloud servicesNVIDIA AI productsDevOpsMLOpsDockerKubernetesLinuxAnalytical skillsProblem-solving skillsCommunication skillsCollaboration skillsLeadership experience

Required

Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).

5+ years experience demonstrating an established track record in Deep Learning and Machine Learning; experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.

Strong analytical and problem-solving skills.

Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, as well as Cloud services, Spark and Linux.

Experience working with NVIDIA Infrastructure, DevOps and MLOps including but not limited to Docker/Containers, Kubernetes, and Data Center or Cloud AI deployments.

Ability to multitask effectively in a dynamic environment.

Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners, and co-workers.

Preferred

Demonstrate expertise and hands-on experience with NVIDIA AI products. Some products of interest include Machine Learning ( RAPIDS and sparks-rapids), Natural Language Processing and Large Language Models ( NVIDIA NEMO), Logistics and Route Optimization ( NVIDIA CuOpt), Recommender systems ( NVIDIA Merlin) and Generative AI technologies ( AI Foundations).

Software development experience in enterprise scale applications and experience in complete Software Development Life Cycle (SDLC).

Experience and understanding of the latest Deep Learning Architectures and training techniques. Most importantly, Transformers Models and the latest customization techniques such as SFT, Parameter Efficient Fine Tuning, and Reinforcement Learning Human Feedback.

Leadership experience working with customers and managing large projects with multiple collaborators.

Show willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.

Benefits

Equity

Benefits

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10001+ employees

https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)