Systems Software Engineer - AI and Cloud

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 124,000 - 241,500 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Collaboration","Technical communication","Technical writing","Problem-solving","Analytical thinking"]

Build and evaluate cloud-native, full-stack applications using microservices to power AI use cases. Design and implement agentic workflows using RAG and advanced AI models, and analyze user experience and technical performance to drive improvements with product and engineering teams. Create developer-focused tutorials and code samples, write technical whitepapers, and run technical demos while working across NVIDIA teams.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Systems Software Engineer - AI and Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Build and evaluate cloud-native, full-stack applications using microservices to power AI use cases. Design and implement agentic workflows using RAG and advanced AI models, and analyze user experience and technical performance to drive improvements with product and engineering teams. Create developer-focused tutorials and code samples, write technical whitepapers, and run technical demos while working across NVIDIA teams.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Evaluate cloud-native, full-stack applications using microservices architecture for AI use cases, leveraging NVIDIA frameworks and SDKs.
  • •Design and implement agentic workflows using Retrieval-Augmented Generation (RAG) and the latest AI models.
  • •Evaluate user experiences and analyze technical performance of AI solutions; compile findings and recommend improvements.
  • •Partner with product, marketing, hardware, software engineering, and QA teams to improve NVIDIA product offerings.
  • •Develop developer-focused content (tutorials and code samples) and produce technical whitepapers, product briefs, and demos.

Pay and Benefits

Salary: USD 124,000 - 241,500 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of experience.
  • •Bachelor’s or Master’s in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • •Proficiency in Python and JavaScript with strong foundations in data structures, algorithms, and software design principles.
  • •Basic familiarity with C++ for high-performance computing environments.
  • •Experience building cloud-native systems for Kubernetes deployment using inference frameworks such as vLLM and NVIDIA Triton Inference Server.
Experience:3+ yearsAICloud-nativeKubernetesInference
Education:Master's in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related degree
Skills:CollaborationTechnical communicationTechnical writingProblem-solvingAnalytical thinking
Tech Stack:PythonJavaScriptC++MicroservicesKubernetesVLLMNVIDIA Triton Inference ServerRAGRetrieval-Augmented GenerationTensorRTAPI designCloud-native

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
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