
Pioneering accelerated computing and AI
Test Development Engineer - DataCenter System Software
At NVIDIA, our innovation knows no bounds. Our team is at the forefront of groundbreaking technologies, and we are looking for an exceptionally dedicated Test Development Engineer to join us in Taipei, Taiwan. If you are passionate about automation, quality, and innovation, this could be the perfect opportunity for you!
What You’ll Be Doing:
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Design, develop, and maintain automated test frameworks and pipelines for server firmware and software.
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Implement and enhance end-to-end test automation to improve coverage, efficiency, and reliability.
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Collaborate closely with PM, development, tools, and AE teams to understand requirements and ensure comprehensive test coverage.
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Complete tests for server firmware and software to ensure high product quality and meet project schedules and customer needs.
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Support factory test processes (MODs and Diag) to ensure firmware is robust enough for manufacturing.
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Analyze test results, debug failures, and provide actionable insights to improve product quality and reliability.
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Contribute to the continuous improvement of testing strategies, tools, and processes to drive innovation and quality.
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Work with AI tools to faciliate the automation process.
What We Need to See:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
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5+ years of hands-on experience in test development, firmware development, automation, or software engineering.
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Strong experience with server firmware and corresponding test methodologies.
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Proven understanding of server hardware, BIOS/UEFI, BMC, and related firmware components.
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Familiar with server board manufacturing process from PCB, SMT, ICT to L6/L10/L11.
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Experience with AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot, Antigravity) and integrating them with MCP to test workflows.
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Excellent problem-solving, communication, and collaboration skills.
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Passion for quality, automation, and innovation in a fast-paced, dynamic environment.
Ways to Stand Out from the Crowd:
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Track record of driving automation initiatives or process improvements within a technical team.
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Ability to communicate technical findings and recommendations clearly to both technical and non-technical collaborators.
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Experience with multi-functional collaboration and working in distributed or global teams.
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Demonstrated ability to apply AI/ML techniques to optimize or innovate test automation workflows and improve testing efficiency.
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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
10개 리뷰
4.4
10개 리뷰
워라밸
2.8
보상
4.5
문화
4.2
커리어
4.3
경영진
3.8
78%
지인 추천률
장점
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
단점
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
연봉 정보
79개 데이터
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
면접 후기
후기 5개
난이도
3.0
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
reddit/blind
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
reddit/blind
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
reddit/blind
·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
reddit/blind
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