Senior Web Software Engineer, AI Infrastructure

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Interpersonal skills","Cross-functional collaboration"]

Design and develop scalable, reliable distributed systems that power an AI infrastructure and deep learning platform for autonomous vehicles. Build microservices and data pipelines to mine, transform, and compose petabyte-scale datasets, and create tools to diagnose and analyze system issues. Partner with deep learning teams and platform users to improve developer and researcher productivity and continuously enhance user experience.

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Senior Web Software Engineer, AI Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and develop scalable, reliable distributed systems that power an AI infrastructure and deep learning platform for autonomous vehicles. Build microservices and data pipelines to mine, transform, and compose petabyte-scale datasets, and create tools to diagnose and analyze system issues. Partner with deep learning teams and platform users to improve developer and researcher productivity and continuously enhance user experience.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable, reliable distributed systems that power AI infrastructure and deep learning.
  • •Design and develop microservices and data pipelines for petabyte-scale datasets.
  • •Collaborate with deep learning teams to build a future-ready platform that improves developer and researcher productivity.
  • •Design and develop tools to diagnose and analyze autonomous vehicle system issues.
  • •Partner with platform users to continuously improve the user experience.

Key Requirements

  • •Bachelor's or master's degree in computer science, software engineering, or a related field.
  • •At least 8 years of industry experience designing and developing distributed systems.
  • •Strong software development fundamentals, including algorithms, data structures, design patterns, and computer architecture.
  • •Deep knowledge in distributed system design and development.
  • •Expert-level proficiency in at least one of Go, Python, or Java.
Experience:8+ yearsAutonomous vehiclesDeep learningDistributed systemsBig dataMicroservices
Education:Bachelor's in computer science, software engineering, or a related field
Skills:CommunicationInterpersonal skillsCross-functional collaboration
Tech Stack:MicroservicesData pipelinesApache SparkAWSCloudFrontDynamoDBLambdaS3SNS/SQSKubernetesDockerGoPythonJava

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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