Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 3 days ago

Solutions Architect, AI Infrastructure Build Readiness - Enablement

NVIDIA2,576 open roles

Pay
$152,000 – $241,500 a year
Where
US, CA, Santa Clara
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSolutions Architect, AI Infrastructure Build Readiness - EnablementNVIDIA · US, CA, Santa Clara

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NVIDIA's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market. NVIDIA postings stay open a median of 39 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 3 days ago

NVIDIA median: 39 days open

The posting

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.

NVIDIA is seeking a Solutions Architect to join the AI Infrastructure Build Readiness - Enablement team. In this role, you'll support customer-facing technical engagements and help connect real-world workloads to NVIDIA's hardware and software ecosystem. We're looking for someone who is technically curious, eager to develop deep expertise in NVIDIA platforms, and excited to grow into a trusted technical resource for customers and partners. If you're passionate about applied technology and want to learn from some of the best engineers in the world, we'd love to hear from you.

What You'll Be Doing:

  • Support technical engagements with OEM and deployment partners, helping to understand their workloads and identify how NVIDIA's technology stack can address their needs, under the guidance of senior team members.
  • Contribute to the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions.
  • Engage hands-on with technical topics—building, testing, and validating solutions that help OEM and deployment partners get started with and scale NVIDIA technologies.
  • Help document and communicate OEM and deployment partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams.
  • Participate in technical engagements, helping customers troubleshoot issues and learn to navigate NVIDIA's tools, SDKs, and platforms effectively.
  • Support technical enablement and platform adoption efforts, contributing to onboarding materials, demos, and documentation that help developers and enterprises integrate NVIDIA technologies.
  • Collaborate with engineering and product teams to understand NVIDIA's solutions and contribute to successful customer deployments.
  • Support AI Factory build readiness initiatives by contributing to enablement programs, deployment guides, and readiness frameworks that help OEM and deployment partners successfully bring up NVIDIA AI infrastructure.

What we need to see:

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field — with some hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
  • Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, with a demonstrated interest in building expertise and contributing to technical solutions.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior stakeholder levels.
  • Strong problem-solving skills, intellectual curiosity, and a genuine passion for helping customers succeed with technology.
  • Demonstrated ability to build collaborative relationships with OEM and deployment partners, with an interest in developing the technical credibility and trust needed to support complex product decisions.
  • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to support partner enablement, technical field engagement, or platform adoption.
  • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
  • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
  • Travel required periodically as business demands (10–20%).

Ways to stand out from the crowd:

  • A hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges.
  • Early experience supporting customers or partners in adopting new technologies or platforms, with a passion for enabling others to succeed.
  • A growth mindset and the initiative to develop technical depth quickly, with examples of self-driven learning in AI infrastructure, accelerated computing, or AI Factory deployment domains.
  • Experience contributing to technical enablement programs, deployment playbooks, or onboarding frameworks that help partners or customers scale new technology platforms.

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 in the world working for us. If you're creative, driven by achieving goals, and enjoy learning while having fun, then what are you waiting for? Apply today!

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 October 23, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against NVIDIA's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on NVIDIA's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    NVIDIA's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.