Software Solutions Architect - NVIS

Reposted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Software Solutions Architect at NVIDIA, you'll deploy AI solutions, collaborate with technical teams, integrate software, diagnose customer issues, and develop new tools for data science.
Summary Generated by Built In

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.

At NVIDIA, we are working with the latest technology, pushing boundaries and redefining what’s possible in the world of AI. Our team is passionate, driven, and committed to solving the most challenging problems with innovative solutions. As a Software Solution Architect for NVIS, you will play a crucial role in helping us build and deploy world-class AI and machine learning solutions. Join us in Israel and be part of a team that is making a significant impact on the future of computing!

What you'll be doing:

  • Helping our customers deploy cloud-native software stacks, such as NVIDIA AI, to embed guidelines in machine learning operations.

  • Collaborating closely with infrastructure admins, data scientists, and ML engineers to deploy tools like NVIDIA Run:ai and NVIDIA Mission Control.

  • Integrating NVIDIA software into customers’ existing ML ops environments and developing scripts to streamline these processes.

  • Diagnosing and resolving customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance.

  • Working with internal collaborators, including Pre-Sales Solution Engineers, Account Managers, and Product teams, to understand business requirements and provide technical insights.

  • Developing new tools and scripts to facilitate seamless integration with other Data Science tools.

What we need to see:

  • A minimum of 5 years of experience in a customer-facing role.

  • A B.Sc in Computer Science or equivalent experience.

  • Proven experience presenting to technical audiences and crafting technical content for developers.

  • Proficiency in Linux/Unix Operating Systems.

  • Hands-on experience with Kubernetes and containerization technologies like Docker.

  • Demonstrated experience in software development.

  • Certification as a Kubernetes Administrator (CKA).

  • Experience with AI and ML tools.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Skills Required

  • Minimum of 5 years of experience in a customer-facing role
  • B.Sc in Computer Science or equivalent experience
  • Proficiency in Linux/Unix Operating Systems
  • Hands-on experience with Kubernetes and containerization technologies like Docker
  • Demonstrated experience in software development
  • Certification as a Kubernetes Administrator (CKA)
  • Experience with AI and ML tools

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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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