We’re hiring a Senior Solutions Architect to drive technical engagement with Enterprise customers as well as our broader OEM and Partner Ecosystem for AI Adoption and consumption across the full NVIDIA Software and Hardware stack. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support.
This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships and enablement with strong presales focus. This role will help inspire our customers to reimagine, reinvent and operate enterprise business processes using Agentic AI, leveraging the NVIDIA platform. This is a highly technical role that requires expertise in generative AI, large language models (LLMs), AI Frameworks and scalable software engineering practices, but also requires a focus on successfully managing projects and strong personal and organisational skills orchestrating both internal and external relationships with support from the broader ANZ NVIDIA team.
If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you
What you’ll be doing:
- Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
- Co-design advanced, scalable architectures with Enterprise customers defining technical direction, integration milestones, and deployment plans.
- Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
- Excellent communication skills, working with customers, leading presentations at technical and CxO level as well as representing NVIDIA at public events.
- Identify gaps between customer needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
- Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
- Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing code to execute data pipelines and train AI/DL models and deploy on container-based orchestrators.
- Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
- Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
- Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing code to execute data pipelines and train AI/DL models and deploy on container-based orchestrators.
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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 Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in multiple industry verticals and OEM platforms.
- Deep technical expertise in identifying and driving AI Solutions with customers with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
- Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
- Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
- A track record of balancing empathy for Customer and partner needs with the ability to drive complex product decisions through trusted relationships.
Ways to Stand Out from the Crowd:
- Deep Pre sales experience, in both compute and AI customer landscapes with a proven track record of opportunity identification and the ability to drive customer adoption.
- A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
- History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
- A technical vision that influences product and engineering decisions and drives production outcomes.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management
- 3–5+ years of direct hands-on experience across multiple industry verticals and OEM platforms
- Deep technical expertise identifying and driving AI solutions with customers
- Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries
- Ability to communicate complex technical concepts to technical and non-technical audiences, including C-level executives
- Strong problem-solving skills and intellectual curiosity
- Experience balancing customer and partner needs while driving complex product decisions
- Presales experience in compute and AI customer environments
- Experience enabling customers or partners to adopt NVIDIA technologies and platforms
- Experience influencing product and engineering decisions and driving production outcomes
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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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