Forward Deployed Architect, AI Accelerator

Posted 17 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
200K-391K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Forward Deployed Architect will lead technical strategy and implementations for AI customer engagements, mentoring teams, guiding practices, and solving complex challenges hands-on.
Summary Generated by Built In

NVIDIA is seeking a Forward Deployed Architect to provide technical leadership and strategic guidance across multiple AI Accelerator customer engagements. Collaborate with strategic accounts to align implementations with customer use cases and share findings with the team. This role focuses on improving customer value through technical mentorship and crafting feedback loops for structured solutions.

What you’ll be doing:

  • Cross-Account Technical Guidance: Work across multiple strategic customer engagements to provide architectural direction, ensure alignment to business outcomes, and guide teams toward optimal technical approaches

  • Collaborate with customers and internal teams to grasp customer goals, significance, and effective technical strategies.

  • Implementation Oversight: Guide Forward Deployed Engineers and customer teams on complex technical decisions, system architectures, and implementation strategies to ensure successful outcomes

  • Identify common technical challenges, use cases, and solution approaches across projects. Share findings with internal teams and the external community to improve AI implementation practices.

  • Develop and advocate for standardized approaches, guidelines, and structured advice rooted in proven patterns from successful customer implementations

  • Hands-On Technical Leadership: Dive into complex technical challenges hands-on keyboard when needed to solve critical problems, validate architectures, or demonstrate solutions

  • Cross-Functional Collaboration: Collaborate closely with product, engineering, and customer success teams to ensure findings from customer engagements inform internal strategy and capabilities

  • Strategic Architecture: Design technical strategies for sophisticated AI workloads including distributed training, inference optimization, and complex MLOps pipelines that can be applied across multiple customers

What we need to see:

  • 12+ years of experience in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting working across multiple customers or projects

  • Strong technical leadership with proven ability to guide teams and influence technical decisions without direct authority

  • Systems thinking with ability to understand customer business outcomes and translate them into effective technical approaches

  • Ability and willingness to prototype and help implement solutions hands-on keyboard when needed to solve critical problems or validate approaches

  • Exceptional communication skills with ability to engage technical teams, executives, and cross-functional stakeholders effectively

  • Bachelors degree or equivalent experience

Ways to stand out from the crowd:

  • NVIDIA Stack: CUDA, NeMo, Triton, TensorRT, NIM as well as hands-on Technical Expertise (one or more of the following):

  • AI/ML Systems: Distributed training, large-scale inference, model optimization, and pipeline automation

  • Infrastructure: Kubernetes, GPU scheduling, distributed computing frameworks (SLURM, Ray), and multi-cloud environments

  • Observability & Automation: CI/CD, Infrastructure as Code, and GPU performance monitoring

  • Solutions architecture or consulting background with experience working across multiple customer engagements simultaneously. Technical pattern recognition with demonstrated ability to identify common challenges and develop reusable approaches

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 a creative, curious, and driven technical leader, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 1, 2025.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

AI
Ci/Cd
Cuda
Infrastructure As Code
Kubernetes
Ml
Nemo
Nim
Ray
Slurm
Tensorrt
Triton
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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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