Senior Solution Engineer, AI Enterprise @ NVIDIA | Jobright.ai
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Senior Solution Engineer, AI Enterprise jobs in Texas, United States
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NVIDIA · 14 hours ago

Senior Solution Engineer, AI Enterprise

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Artificial Intelligence (AI)GPU
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H1B Sponsor Likelynote

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Responsibilities

Provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or escalate customer issues.
Work with engineering teams on customer issues, providing logs, reproduction information, and other triage information.
Create/update product and/or support tools.
Take ownership and drive customer issues from inception to resolution.
Document customer interactions and better enhance our knowledge base.
Develop features and tools as part of solution engineering efforts to support AI Enterprise technologies
Occasional work on weekends and holidays to support customers

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.

LinuxAI/ML expertisePython programmingCUDAChatbotsRAG pipelinesVector databasesDistributed trainingCloud environmentsDockerKubernetesPyTorchTensorFlowC/C++

Required

Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.
At least 5+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
Strong AI/ML expertise.
Professional-level communication skills, including the ability to adjust communication to the technical level of the audience, and stay calm and focused in negative situations.
Excellent follow-up and organizational skills, with a passion or love for solving problems.
Proficient in Python programming with the ability to develop scripts and build custom tools.
Experience with parallel programming or GPU acceleration (e.g., CUDA) is highly desirable.

Preferred

Experience with Chatbots, RAG pipelines, vector databases, distributed training or inference workloads
Experience developing in cloud and/or virtualized environments
Containerized solutions experience with knowledge of Docker and/or Kubernetes
Experience with common deep learning frameworks such as PyTorch or TensorFlow
Experience developing with C/C++

Benefits

Equity
Benefits

Company

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

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)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
CEO and Founder
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Chris Malachowsky
Co-Founder, SVP
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Company data provided by crunchbase
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