3 days ago

Senior Software Engineer, AI Web Products

NVIDIA

Hybrid
Full Time
$280,000
Hybrid

Job Overview

Job TitleSenior Software Engineer, AI Web Products
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$280,000
LocationHybrid

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Job Description

About NVIDIA

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.

We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.

What You'll Be Doing as a Senior Software Engineer, AI Web Products

  • Design and develop innovative AI-driven web products to solve big data challenges in chip design.
  • Build high performance API's, data pipelines and backend services in a distributed systems environment.
  • Own technical strategy for broad and complex challenges.
  • Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables.
  • Handle multiple tasks and adapt to changing priorities.
  • Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.

What We Need To See

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 6+ years of professional experience in full-stack development.
  • Strong fundamentals in data structures, algorithms and software design patterns.
  • Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
  • Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
  • Background with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).

Ways To Stand Out From The Crowd

  • A passion for well-written code, test-driven development and engineering best practices.
  • Strong problem solving and interpersonal skills, self-motivated, and a team player.
  • Strong ability to build functional and intuitive user experiences.
  • A zeal to learn and perform beyond prior experience and expertise.

Key skills/competency

  • AI Web Development
  • Full-stack Development
  • Distributed Systems
  • ReactJS
  • NodeJS
  • Python
  • Data Structures
  • Algorithms
  • Database Optimization
  • Software Design Patterns

Tags:

Senior Software Engineer, AI Web Products
AI
Web Development
Full-stack
Distributed Systems
Data Pipelines
Backend Services
Chip Design
API Development
Technical Strategy
Problem Solving
ReactJS
NodeJS
Python
MySQL
MongoDB
Elasticsearch
AWS S3
Data Structures
Algorithms
Software Design Patterns

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How to Get Hired at NVIDIA

  • Research NVIDIA's culture: Study their mission, values, AI focus, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight full-stack, AI, and distributed systems experience specifically for the Senior Software Engineer, AI Web Products role.
  • Showcase deep expertise: Prepare to discuss your proficiency in ReactJS, NodeJS, Python, and database optimization techniques.
  • Master problem-solving: Practice algorithm and data structure questions relevant to system design and large-scale data challenges.
  • Demonstrate teamwork & adaptability: Be ready to share examples of collaboration, technical ownership, and skill acquisition beyond your initial expertise.

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