Be an early applicantLess than 25 applicants

Company

NVIDIA · 6 hours ago

Solutions Architect, Financial Services

New Jersey, United States

Full-time

Remote

Senior Level

$148K/yr - $230K/yr

5+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis and optimization of powerful AI models to ensure the best performance on current- and next-generation GPU architectures.

Work directly with client Data Scientists and developers on business-impacting workflows, projects, issues and success using NVIDIA technology.

Build collateral (notebook/ blog) applied to Finance industry use-cases such as Generative AI, recommender, GAN, GNN, monte-carlo, Quantitative Finance, etc. by working closely with customers.

Collaborate with key industry partners/customer developers to build GPU-accelerated solutions that are applied to their products and technologies.

Partner with NVIDIA Engineering, Product Engineering, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.

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.

PythonC++Machine LearningDeep LearningTensorFlowPyTorchJaxSparkDaskMLOpsDockerKubernetesKubeFlowNVIDIA software librariesAIHPCData AnalyticsBloggingGitHubTechnical Presentation

Required

BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)

5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++

Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask

Ability to communicate ideas and share code clearly through blog posts, GitHub

Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)

Effective verbal/written communication and technical presentation skills

Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

Preferred

Skilled in deploying ML/DL models at scale on public cloud computing clusters in production

Development experience with NVIDIA software libraries and GPUs

Knowledge of MLOps technologies such as Docker/containers, Kubernetes, KubeFlow, data center deployments etc.

Experience working with enterprise developers building AI, HPC, or data analytics applications

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)