Solutions Architect – Enterprise

This is a fully remote position, open to applicants in Australia.

📋 Description

• Act as a trusted consultant by aligning intricate customer workloads with NVIDIA’s suite of hardware and software technologies.

• Collaborate on the design of scalable architectures alongside Enterprise clients, encompassing technical direction, integration milestones, and deployment strategies.

• Develop, validate, and support technical solutions to ensure success for both customers and partners.

• Conduct customer presentations at both technical and CxO levels, representing NVIDIA at public events.

• Recognize discrepancies between customer requirements and NVIDIA offerings, relaying insights to product and engineering teams.

• Lead technical engagements, resolve complex issues, and advocate for the technical needs of customers.

• Create and execute proofs of concept and demonstrations.

• Write code for data pipelines, AI/deep-learning model training, and deployment on container-based orchestrators.

• Propel the technical enablement and adoption of NVIDIA SDKs, frameworks, and systems.

• Collaborate with engineering and product teams across functions to ensure successful deployment and continuous enhancement.

• Manage technical partnerships with a strong emphasis on presales activities.

• Coordinate internal and external relationships with support from the broader ANZ NVIDIA team.

⛳️ Requirements

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related discipline.

• Over 5 years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.

• 3 to 5+ years of direct, hands-on experience across various industry sectors and OEM platforms.

• Profound technical knowledge in identifying and promoting AI solutions with customers.

• Proven history of driving product integrations and contributing to software and hardware platforms, systems, and libraries.

• Ability to articulate complex technical concepts clearly to both technical and non-technical audiences, ranging from engineers to C-level executives.

• Strong problem-solving abilities coupled with a keen intellectual curiosity.

• Experience in balancing the needs of customers and partners while steering complex product decisions through established relationships.

• Extensive presales experience within compute and AI customer environments.

• Experience in identifying opportunities and driving customer adoption.

• Hands-on technical expertise and a capability for solving complex problems.

• Proven track record of enabling customers or partners to leverage NVIDIA technologies and platforms.

• Technical vision that influences product and engineering decisions and drives successful production outcomes.

• Expertise in generative AI, large language models (LLMs), AI frameworks, scalable software engineering practices, NVIDIA SDKs and frameworks, data pipelines, AI/DL model training, and container-based orchestrators.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness programs.

• Opportunities for professional development and career advancement.

• Flexible work arrangements to support work-life balance.

• Access to cutting-edge technology and resources.