9 hours ago
Datacenter Automation Tools Designer
NVIDIA
Hybrid
Full Time
$287,500
Hybrid
Job Overview
Job TitleDatacenter Automation Tools Designer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$287,500
LocationHybrid
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Job Description
Datacenter Automation Tools Designer at NVIDIA
NVIDIA’s Silicon Solutions Group, Efficiency (SSGE) team is seeking a Datacenter Automation Tools Designer to build the next generation of automation for post-silicon validation of NVIDIA datacenter products. In this role, you will design, develop, and maintain adaptable, high-quality validation tools and frameworks that improve engineering coverage, reliability, and productivity. You will partner closely with validation, infrastructure, and software teams to define intuitive, robust toolsets using modern frameworks and technologies. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
What You'll Be Doing
- Master NVIDIA's design and verification development environments, flows, and processes.
- Partner with board, silicon solutions, software, and applications engineering teams on validation requirements and methodologies.
- Research in-house or industry commercial design for verification applications.
- Refine validation flows by extending existing tools or developing new ones to qualify chip and product features, increasing coverage and efficiency.
- Help assess and optimize benchmarking tools to improve efficiency.
- Learn the latest verification technologies, tools, and methods to drive continuous improvement.
What We Need To See
- MS or equivalent experience in EE, CE, CS, or Systems Engineering with 4+ years of relevant experience.
- Strong skills in Python and/or C/C++.
- System validation knowledge, including CPU, memory, GPU, PCIE, and thermal/power control.
- Familiarity with version control (Git), CI/CD pipelines, and agile development practices.
- Superb communication and collaboration abilities.
Ways To Stand Out From The Crowd
- Hands-on experience developing and extending silicon validation tools.
- Basic understanding of AI models.
- Experience using AI tools (e.g., Cursor, Copilot) in automation development.
- Hands-on experience with hardware validation and data analysis, contributing to higher quality and more reliable solutions.
Key skills/competency
- Datacenter Automation
- Post-Silicon Validation
- Tool Design
- Python Programming
- C/C++ Development
- System Validation
- CPU/GPU/PCIe
- CI/CD Pipelines
- Agile Development
- Hardware Data Analysis
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their innovation-driven environment.
- Tailor your resume effectively: Customize your resume and cover letter to highlight experience in datacenter automation, silicon validation, Python/C++, and CI/CD practices, aligning with NVIDIA's technical requirements.
- Showcase problem-solving skills: Prepare to demonstrate your ability to design robust validation tools and improve engineering productivity through specific project examples during interviews.
- Master technical interview concepts: Be ready for in-depth questions on Python, C/C++, system architecture (CPU, GPU, PCIe), and validation methodologies relevant to high-performance computing.
- Network and engage: Connect with NVIDIA employees on LinkedIn and attend industry events to gain insights and potentially secure referrals, showcasing your genuine interest in cutting-edge technology.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What is the core focus of the Datacenter Automation Tools Designer role at NVIDIA?
02Which programming languages are most crucial for a Datacenter Automation Tools Designer at NVIDIA?
03What kind of system validation knowledge is expected for this position?
04How does NVIDIA emphasize collaboration in the Datacenter Automation Tools Designer role?
05What are some 'ways to stand out' for this Datacenter Automation Tools Designer role at NVIDIA?
06What is the expected experience level for the Datacenter Automation Tools Designer at NVIDIA?
07What is NVIDIA's approach to continuous improvement in verification technologies?
08Does NVIDIA use AI in its recruiting process for the Datacenter Automation Tools Designer role?
09What development practices are relevant for the Datacenter Automation Tools Designer position at NVIDIA?
10What is the salary range for a Datacenter Automation Tools Designer at NVIDIA?
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