NVIDIA is seeking a motivated and detail-oriented Software Engineer to join our innovative VLSI Design Automation team. This group is responsible for building advanced VLSI CAD solutions and web-based platforms. We are looking for a full-stack engineer who is excited about handling large-scale data, enhancing web performance, and developing intuitive dashboards and applications. The ideal candidate brings solid backend experience, a strong data-driven mindset, a passion for learning, and excellent collaboration skills.
What you’ll be doing:
Design, develop, test, integrate CI/CD pipelines, deploy, and support features for web applications and dashboards.
Own the services and databases you build.
Identify areas for improving performance and inserting automation.
What we need to see:
Bachelor’s degree in Computer Science or equivalent practical experience.
3+ years of hands-on full-stack development experience.
Strong proficiency in Python.
Experience working with database systems, including SQL (such as PostgreSQL or MySQL) and NoSQL solutions.
Hands-on experience with FastAPI.
Familiarity with CI/CD methodologies and related tools.
Experience building data visualizations in Python.
Strong working knowledge of Linux environments.
Ways to stand out from the crowd:
Background with Kubernetes and Docker.
Experience working with Kafka and event-driven architectures.
Experience with React, experience with logging and monitoring systems.
Background with data analysis libraries such as pandas and NumPy.
Previous exposure to machine learning concepts and frameworks.
NVIDIA is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. Reasonable accommodations are available for individuals with disabilities throughout the hiring process and employment. Please reach out to request an 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.”
