Senior SaaS Backend Developer

Posted 2 Days Ago
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Tel Aviv, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and maintain Python/Django SaaS web applications for NVIDIA’s data center simulation platform. Lead features from design through production, improve performance and reliability, write maintainable code, participate in code reviews, and use AI tools for development and testing. Collaborate with engineers, product managers, and architects on technical decisions. The role also involves Kubernetes, Linux, containers, production software support, and potentially Kubernetes operators, AI agents, virtualization, and networking.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people. NVIDIA is looking for an experienced Python Backend Developer to join our Air team – the Digital Twin for Data Center Simulation web application. To learn more, visit https://air.nvidia.com.


As a SaaS Backend Developer, you will be responsible for designing, developing, and maintaining our web applications. This position offers the opportunity to have a real impact in an influential, technology-focused company impacting product lines that power the most advanced data centers in the world. We have crafted a team of outstanding people, whose mission is to push the frontiers of what is possible today and define the platform for the future of data center simulation and design.


What you'll be doing:

  • Design and develop web applications using Python and Django framework in Kubernetes infrastructure.
  • Lead features from design through production, improving performance and reliability through testing, monitoring, and benchmarking.
  • Write clean, efficient, and maintainable code that adheres to industry standards.
  • Participate in code reviews and provide constructive feedback to ensure code quality.
  • Use and contribute to AI infrastructure for design, coding, testing and debugging.
  • Collaborate with engineers, product manager and architects, contribute to technical decisions, and share knowledge.

What we need to see:

  • BSc degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 5+ years of experience as a Backend developer, delivering and supporting reliable production software
  • Proficiency in Python with strong programming and software development skills.
  • Hands-on experience with Kubernetes, containers, and Linux.
  • Regular use of AI tools for design, coding, testing, debugging, and evaluation of generated outputs for correctness, security, and maintainability.
  • Comfortable working in a fast-paced, highly collaborative environment.
  • Ability to investigate problems, explain technical tradeoffs, and collaborate across teams.

Ways to stand out from the crowd:

  • Hands-on experience with Python Django framework.
  • Strong background with developing Kubernetes operators and custom resources.
  • Hands-on experience with developing AI agents, skills, orchestrate pipelines and feedback loops.
  • Experience with developing virtualization solutions using technologies like QEMU.
  • Knowledge of Linux networking and understanding of networking concepts and protocols.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Skills Required

  • Bachelor of Science degree in Computer Science, Software Engineering, or a related field, or equivalent experience
  • 5+ years of experience as a backend developer delivering and supporting reliable production software
  • Proficiency in Python and strong programming and software development skills
  • Hands-on experience with Kubernetes, containers, and Linux
  • Regular use of AI tools for design, coding, testing, debugging, and evaluating generated outputs
  • Ability to work collaboratively in a fast-paced environment
  • Ability to investigate problems, explain technical tradeoffs, and collaborate across teams
  • Hands-on experience with Python Django
  • Experience developing Kubernetes operators and custom resources
  • Experience developing AI agents, skills, orchestrated pipelines, and feedback loops
  • Experience developing virtualization solutions using technologies such as QEMU
  • Knowledge of Linux networking and networking concepts and protocols

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
  • Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
  • Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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