Senior Software QA Test Developer - Embedded

NVIDIA
Pune
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Test planning","Cross-functional collaboration","Defect triage","Root-cause analysis","Release validation"]

Develop and scale test engineering for NVIDIA’s Metropolis platform and Video Search & Summarization (VSS), validating end-to-end IVA/video AI workflows across cloud, data center, workstation, and edge. Build Python-based test frameworks, CI/CD automation, and distributed validation for microservices and GPU architectures. Deploy and verify Metropolis applications using Docker/Kubernetes/Helm, use AI-assisted tools for test generation and triage, and partner with cross-functional teams to drive defects to resolution and communicate release readiness.

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FursaFursa
NVIDIA
NVIDIA
10 hours ago

Senior Software QA Test Developer - Embedded

✓ Verified Job

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

Job Summary

Develop and scale test engineering for NVIDIA’s Metropolis platform and Video Search & Summarization (VSS), validating end-to-end IVA/video AI workflows across cloud, data center, workstation, and edge. Build Python-based test frameworks, CI/CD automation, and distributed validation for microservices and GPU architectures. Deploy and verify Metropolis applications using Docker/Kubernetes/Helm, use AI-assisted tools for test generation and triage, and partner with cross-functional teams to drive defects to resolution and communicate release readiness.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and improve Python-based test frameworks and CI/CD automation to validate end-to-end IVA and video AI workflows across cloud, data center, workstation, and edge platforms.
  • •Build functional and integration validation for VSS/Metropolis workflows, including multi-camera, multi-stream, multi-model, and simulation-based workflows across ingestion, decoding, preprocessing, inference, tracking, analytics, and visualization.
  • •Create validation frameworks for video indexing and semantic search, evaluating agentic AI workflows such as agents, tool calling, and orchestration.
  • •Validate distributed, microservices-based AI architectures, including APIs, service integration, inter-service communication, configuration, scalability, fault tolerance, and end-to-end workflows.
  • •Deploy and validate Metropolis applications using Docker, Kubernetes, and Helm; automate test execution across distributed GPU environments and edge platforms, using AI-powered tools for test development and analysis.

Key Requirements

  • •B.Tech. or M.Tech. in Computer Science, Computer Engineering, Information Technology, Electronics, or a related field, or comparable experience.
  • •5+ years of hands-on software test development/automation experience, preferably in AI/ML, computer vision, video analytics, embedded systems, or GPU-accelerated applications.
  • •Strong Python skills building test frameworks, automation infrastructure, utilities, and validation tools.
  • •Hands-on understanding of AI/ML and computer vision (e.g., object detection, classification, tracking, video analytics, AI inference pipelines).
  • •Strong proficiency in Linux (including shell scripting and system-level debugging).
Experience:5+ yearsAI/MLComputer visionVideo analyticsEmbedded systemsGPU-accelerated applications
Education:Bachelor's in Computer Science, Computer Engineering, Information Technology, Electronics, or related field
Skills:Test planningCross-functional collaborationDefect triageRoot-cause analysisRelease validation
Tech Stack:PythonCI/CDCICDJenkinsGitHub ActionsGitLab CIDockerKubernetesHelmLinuxShell scriptingMicroservicesAPIsDeepStreamVideo Search and Summarization (VSS)MetropolisTensorRTCUDANGC

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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