Solutions Architect, Agentic Optimization

NVIDIA
Santa Clara, United States
Workplace: RemoteFull timeUSD 152,000 - 241,500Function: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Debugging","Creative problem-solving","Self-starter"]

Partner with customers to improve workload performance and reduce infrastructure costs through AI solutions built using NVIDIA software and technologies. Lead proof-of-concepts for consumer internet use cases such as LLMs and recommenders, developing and debugging code using NVIDIA and open-source AI frameworks. Collaborate with software engineering, product, and sales teams to drive design wins, and optimize model training and inference performance on GPUs, including kernel-level performance work.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Solutions Architect, Agentic Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Partner with customers to improve workload performance and reduce infrastructure costs through AI solutions built using NVIDIA software and technologies. Lead proof-of-concepts for consumer internet use cases such as LLMs and recommenders, developing and debugging code using NVIDIA and open-source AI frameworks. Collaborate with software engineering, product, and sales teams to drive design wins, and optimize model training and inference performance on GPUs, including kernel-level performance work.
Location: Santa Clara, United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with customers to improve workload performance and reduce infrastructure costs.
  • •Lead and develop proof-of-concepts for AI solutions for consumer internet use cases (including LLMs and recommenders), building collateral as needed.
  • •Develop and debug software for NVIDIA and open-source AI frameworks and libraries.
  • •Partner with NVIDIA software engineering, product, and sales teams to secure design wins and deliver solutions based on customer feedback.
Travel: Low travel

Pay and Benefits

Salary: USD 152,000 - 241,500
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related engineering fields (or equivalent experience).
  • •5+ years as an AI/Software Engineer with a track record coding in Python and/or C++ using popular AI libraries and GPUs.
  • •Experience profiling and optimizing model training/inference performance on GPUs.
  • •Experience developing and optimizing GPU kernels for deep learning, focusing on GEMM and attention kernels.
  • •Strong communication skills to convey ideas and code via GitHub, documentation, and presentations.
Experience:5+ yearsAIDeep learningGPU optimizationMLOpsConsumer internet
Education:Bachelor's in Computer Science, Electrical/Computer Engineering, Physics, Mathematics
Skills:CommunicationCross-functional collaborationDebuggingCreative problem-solvingSelf-starter
Tech Stack:PythonC++GPUsGitHubKubernetesContainersDeep learningLLMsGEMMAttention kernelsInferenceModel trainingMLOps

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor