採用
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What You'll Be Doing:
-
Construct, enhance, and sustain automated test frameworks and pipelines for server firmware and software, ensuring exceptionally high standards.
-
Build and optimize detailed test automation to expand coverage, efficiency, and reliability, with the goal of seamless execution.
-
Develop OS/System-Level Automation and Test Automation software/scripting/etc.
-
Use AI-powered tools to enable and implement CI/CD pipelines, optimize test execution, and drive scalable automation across workflows.
-
Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.
-
Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.
-
Introduce new automation to improve code coverage and overall product quality; pinpoint gaps and support reaching near-100% automation objectives.
-
Analyze logs and failures that may span Hardware (HW), Software (SW), and Firmware (FW) and propose debug and mitigation strategies.
What We Need to See:
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
-
5+ years of hands-on experience in test development, firmware development, automation, or software engineering.
-
Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.
-
Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.
-
Familiarity with Hardware/Software management (components/devices/peripherals, drivers, etc).
-
OS: Administration Linux and Windows, Networking, Security, Imaging (Baremetal, VM, etc).
-
Expertise in programming languages like Python, Bash, TCL, Perl, Powershell, JavaScript for tool development and automation.
-
Comprehensive experience in server firmware and associated testing methods.
-
Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Antigravity) and integrating them with MCP to test workflows.
-
Passion for quality, automation, and innovation in a fast-paced, dynamic environment.
Ways to Stand Out from the Crowd:
-
Experience driving diagnostics across rack-level or cluster-level deployments.
-
Virtualization, Windows Hyper-V, KVM, K8's, Containerization, etc.
-
Background in cloud-scale infrastructure and partner engagement.
-
Experience with Py Test or related testing frameworks.
-
Experience in developing modern Software Verification Systems.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
総閲覧数
0
応募クリック数
0
模擬応募者数
0
スクラップ
0
類似の求人

Senior Application Engineer
3M · US, Michigan, Livonia

Advisor/Sr. Advisor - Technical Services/Manufacturing Science
Eli Lilly · US, Richmond VA

Senior AI Software Engineer - Neuromorphic Computing
Intel · US

Staff Applications Engineer, Power Products
Analog Devices · US, NC, Durham

Senior Product Engineer
3M · US, Minnesota, Maplewood
NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
4.1
10件のレビュー
ワー クライフバランス
3.5
報酬
4.2
企業文化
4.3
キャリア
4.5
経営陣
4.0
75%
友人に勧める
良い点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
改善点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
給与レンジ
73件のデータ
Junior/L3
Mid/L4
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接体験
7件の面接
難易度
3.1
/ 5
体験
ポジティブ 0%
普通 86%
ネガティブ 14%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
よくある質問
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ニュース&話題
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago