Software Architect, Autonomous Vehicles - Backend and AI Agents

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Communication","Collaboration","Problem-solving","Learning agility"]

Design and deliver autonomous-vehicle software capabilities by integrating AI agents, workflows, and web APIs into NVIDIA’s DRIVE software platform. Collaborate with front-end, back-end, DevOps, and machine learning teams across subsystems to build next-generation services through the full development and release lifecycle. Define and measure service quality via SLOs/SLIs, ensure high availability and performance, and ship user-facing features that improve the experience of autonomous driving products.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Software Architect, Autonomous Vehicles - Backend and AI Agents

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Design and deliver autonomous-vehicle software capabilities by integrating AI agents, workflows, and web APIs into NVIDIA’s DRIVE software platform. Collaborate with front-end, back-end, DevOps, and machine learning teams across subsystems to build next-generation services through the full development and release lifecycle. Define and measure service quality via SLOs/SLIs, ensure high availability and performance, and ship user-facing features that improve the experience of autonomous driving products.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with cross-functional teams to develop and productize autonomous vehicle technologies and AI agents for NVIDIA’s DRIVE software platform.
  • •Own architecture and design from AI agent and web API design through implementation, testing, and deployment.
  • •Build and maintain next-generation services, including AI agents and workflows, for end users.
  • •Ensure high availability and quality by defining SLOs/SLIs and measuring service quality for internal customers.
  • •Deliver features that significantly improve the user experience of NVIDIA’s autonomous driving products.

Key Requirements

  • •BS and MS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Mathematics, or equivalent experience.
  • •5+ years of software development experience.
  • •Proficiency with Go, Java, Python, and C++, and software development fundamentals.
  • •Good understanding of distributed systems, microservice architecture, and REST APIs.
  • •Experience with container-based virtualization (Docker) and container orchestration (Kubernetes).
Experience:5+ years
Education:Master's
Skills:CommunicationCollaborationProblem-solvingLearning agility
Tech Stack:GoJavaPythonC++REST APIsDistributed systemsMicroservice architectureDockerKubernetesContainer orchestrationMultithreadingLoad balancingWeb APIAI agentsAgentic AI

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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