Front End Software Engineer, Data Platform

Posted 15 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
This role involves leading the design and implementation of custom visualizations to analyze large-scale data for engineering. The engineer will take ownership of software stacks, develop self-service interfaces, and build plotting engines for complex data analysis.
Summary Generated by Built In

The NVIDIA Operations organization is seeking an experienced front end / full stack software engineering professional for the position of Data Visualization Engineer. As a member of our team you will be an integral part of custom large scale visualizations. You will support initiatives for the Data Platform, Reporting, and Analytics. You'll transform data into useful information that drives insights and helps achieve real outcomes.

What you'll be doing:

Leading, planning, and implementing with team members and partners, custom visualizations to solve complicated data reporting and analysis. We work on data tools used in the engineering analysis and testing of semiconductor chips, boards, systems, and servers. We develop in house suite of tools that work from the ground up. Processing logs into data platforms, analytics, and custom visualizations for large scale data analysis.

  • Design and implement custom front end frameworks to support various engineering analysis

  • Enable self-service interfaces for various engineering and business units

  • Take ownership of visualization and transformation software stacks

  • Build, scale, and optimize plotting engines for at scale data, representing millions and billions of data points

What we need to see:

  • Bachelor’s or Master’s degree in Computer Science or Information System, or equivalent experience with programming knowledge (i.e. JavaScript, Svelte, React, D3, Python, Database architectures, etc.)

  • 5+ years of proven experience

  • Experienced in defining/leading projects, collecting requirements, setting timelines, and delivering on results

  • Experience in architecting, designing, developing, and maintaining complex stack of toolsets (Svelt/Vue/React/PHP/Node.js/Apache/Nginx)

  • Working knowledge of D3, Svelte/Vue/React

  • Strong JavaScript experience

  • Experience with modern HTML and CSS

  • Experience with canvas, WebGL

Ways to stand out from the crowd:

  • Experience developing plotting engines for engineering analysis

  • Background operations data analysis

  • Understanding of operational processes in semi-chips, boards, systems, and servers

  • Experience with custom tooling connecting API’s to visual front end interfaces

  • Working experience with Git, Static Site Generators like Jekyll and 11ty

With highly competitive salaries and a comprehensive benefits package, 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 on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.

The base salary range is 132,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

D3
JavaScript
Python
React
Svelte
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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