Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Quality Data Analyst Engineer role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology. The Senior Data Analyst Engineer will lead advanced data analysis and optimization for networking products in mass production. The successful candidate will leverage technical expertise and manufacturing experience to deliver actionable insights from complex datasets.
What you'll be doing:
Develop automated dashboards, KPIs, and reports to monitor production health, yield, test results, quality trends and customers satisfaction indicators
Identify and drive root cause analysis of anomalies or degradations in key metrics (yield loss, reliability issues, field returns, customers complaints).
Collaborate with cross-functional teams in different time zones (such as Manufacturing, Test Engineering, R&D, Quality and Sales).
What we need to see:
Bachelor’s or master’s degree in data science, Electrical Engineering, Industrial Engineering, Computer Science, or related field or equivalent experience
8+ years of experience in a data analytics role, preferably in a high-volume electronics hardware environment.
5+ years proven experience in data collection and statistical analysis for high-volume products’ datasets
Proficiency in big data platforms, and statistical analysis tools; skilled in data visualization (e.g., Power BI)
Ways to stand out from the crowd:
Proven experience with AI-driven tools, LLMs and machine learning
Strong integration capabilities
Ability to operate independently and influence cross-functional teams without direct authority.
Results-oriented, organized, and detail-driven.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
