NVIDIA

4 weeks ago

Software QA Tools Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Join NVIDIA’s Certification team to test software/hardware features across certification programs (HLK, HDMI, DP, ESXi, Google xTS) and build new automation tools. Collaborate with engineers to enhance productivity, performance, and QA workflows, applying AI-enabled testing approaches while working onsite in Pune, India.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Test software and hardware features across certification programs to ensure certification-level quality from emulation to production across graphics, display, audio, multimedia, USB, hypervisors, and virtual machines.
•Develop a thorough understanding of functional and process areas within the hardware and functional certification ecosystem.
•Integrate internal and external APIs with UI/automation tools and deploy multi-agent systems to optimize workflows and build new automated solutions.
•Provide accurate, timely status updates to management and partners.
•Define and improve processes to drive operational excellence and increase organizational efficiency.

Key Requirements

•Engineering degree in Computer Science, IT, ECE, or a related field.
•5+ years of total experience with programming in Python and C#, including writing scripts/code from scratch.
•Demonstrated ability to design, build, and deploy AI/ML and agentic AI solutions to accelerate automation development and testing workflows.
•Strong familiarity with AI-native development tools such as Codex, Claude Code, Cursor, and LLM APIs.
•Clear understanding of LLM failure modes, including hallucination and context degradation and prevention methods.

Experience:5+ yearsHardware certificationQAAutomationAI/ML testing

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAttention to detailTeamwork

Tech Stack:PythonC#.NET CoreSQLGitHubPerforceLinuxWindowsAndroidCodexClaude CodeCursorLLM APIs

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Software QA Tools Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Test software and hardware features across certification programs to ensure certification-level quality from emulation to production across graphics, display, audio, multimedia, USB, hypervisors, and virtual machines.
•Develop a thorough understanding of functional and process areas within the hardware and functional certification ecosystem.
•Integrate internal and external APIs with UI/automation tools and deploy multi-agent systems to optimize workflows and build new automated solutions.
•Provide accurate, timely status updates to management and partners.
•Define and improve processes to drive operational excellence and increase organizational efficiency.

Key Requirements

•Engineering degree in Computer Science, IT, ECE, or a related field.
•5+ years of total experience with programming in Python and C#, including writing scripts/code from scratch.
•Demonstrated ability to design, build, and deploy AI/ML and agentic AI solutions to accelerate automation development and testing workflows.
•Strong familiarity with AI-native development tools such as Codex, Claude Code, Cursor, and LLM APIs.
•Clear understanding of LLM failure modes, including hallucination and context degradation and prevention methods.

Experience:5+ yearsHardware certificationQAAutomationAI/ML testing

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAttention to detailTeamwork

Tech Stack:PythonC#.NET CoreSQLGitHubPerforceLinuxWindowsAndroidCodexClaude CodeCursorLLM APIs

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor