Senior Software Engineer – Platform Engineering

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 200,000 - 322,000 annuallyFunction: Software EngineeringSkills: ["Problem-solving","Communication","Technical leadership","Mentoring","System design"]

Build and scale next-generation AI platform capabilities by developing agentic AI systems and retrieval-augmented generation (RAG) infrastructure. You’ll collaborate with cross-functional teams to deliver intelligent end-to-end experiences, integrate agents with enterprise data sources, APIs, and microservices, and ensure reliability, safety, and performance at scale. You’ll also mentor engineers and drive best practices for evaluation, guardrails, and observability using modern cloud and Kubernetes environments.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Software Engineer – Platform Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build and scale next-generation AI platform capabilities by developing agentic AI systems and retrieval-augmented generation (RAG) infrastructure. You’ll collaborate with cross-functional teams to deliver intelligent end-to-end experiences, integrate agents with enterprise data sources, APIs, and microservices, and ensure reliability, safety, and performance at scale. You’ll also mentor engineers and drive best practices for evaluation, guardrails, and observability using modern cloud and Kubernetes environments.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications.
  • •Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions.
  • •Architect and build agentic AI systems using LLMs for reasoning, planning, and tool orchestration across enterprise workflows.
  • •Develop scalable RAG and agent infrastructure for orchestration, evaluation, and observability.
  • •Mentor engineers and provide technical leadership in designing complex distributed AI systems.

Pay and Benefits

Salary: USD 200,000 - 322,000 annually
Equity and Bonus:Equity

Key Requirements

  • •12+ years of experience building large-scale distributed systems and cloud-native applications (Python preferred).
  • •Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • •Strong programming skills across multiple languages and modern software stacks.
  • •Hands-on experience with test automation, production testing, and automation frameworks.
  • •Deep experience designing and deploying LLM-powered systems including RAG, tool use, and agent-based architectures.
Experience:Distributed systemsCloud-nativeAI/MLGenerative AIOpen-sourceKubernetes
Education:
Skills:Problem-solvingCommunicationTechnical leadershipMentoringSystem design
Tech Stack:PythonLinuxKubernetesServiceNowIT Service Management (ITSM)LangChainLLMsRAGMicroservicesLLM-powered systemsAgent frameworks

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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