21 hours ago
Remote, AustraliaSenior
Responsibilities
- Serve as a trusted advisor by mapping large-scale customer workloads to NVIDIA’s technology stack and measurable business outcomes.
- Co-design scalable architectures with enterprise customers, including technical direction, integration milestones, and deployment plans.
- Design, validate, troubleshoot, and support technical solutions for customers and partners.
- Lead technical presentations for engineers, C-level executives, customers, partners, and public audiences.
- Create and run proofs of concept and demos, including writing code for data pipelines, training AI/deep-learning models, and deploying solutions on container-based orchestrators.
- Drive technical enablement and adoption of NVIDIA SDKs, frameworks, and systems.
- Identify customer needs and product gaps, communicating insights to NVIDIA engineering and product teams.
- Lead technical engagements and coordinate internal and external relationships across the broader ANZ NVIDIA team.
Requirements
- Bachelor’s or master’s degree, or equivalent experience, in computer science, engineering, or a related field.
- At least 5 years of professional experience across 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 expertise in identifying and driving AI solutions, product integrations, and contributions to software, hardware, platforms, systems, and libraries.
- Ability to communicate complex technical concepts to technical and non-technical audiences, including engineers and C-level executives.
- Strong problem-solving skills, intellectual curiosity, empathy for customers and partners, and ability to drive complex product decisions through trusted relationships.
- Preferred qualifications include deep presales experience in compute and AI customer environments, a record of driving customer adoption, hands-on technical problem-solving expertise, and experience enabling adoption of NVIDIA technologies.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.