Solutions Architect at NVIDIA

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI, Deep Learning, Machine Learning, Generative AI, Large Language Models, Software Engineering, Project Management, Python, Cloud Solutions, APIs, Microservices, NVIDIA SDK, Nemo, MLOps, Computer Vision, Data Analytics

Industry

Computer Hardware Manufacturing

Description

NVIDIA is looking for a Solutions Architect (Data Science) within our ANZ team to work with our Global Systems Integrator (GSI) partners and AI consulting firms. This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships and enablement. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest Enterprises using Agentic AI leveraging the NVIDIA platform. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), 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. As part of our Solutions Architecture team, you will work with the most exciting computing software and hardware, driving the latest breakthroughs in deep learning and artificial intelligence. This role offers an excellent opportunity to expand your career in the rapidly growing field of AI Software Development Kits and broader artificial intelligence while empowering the world's most successful companies. What you'll be doing: Becoming an NVIDIA AI expert and enabling GSI developers to adopt NVIDIA Nemo and NIMs for their Generative AI offerings, platforms and client services. Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously. Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the broader GSI group and closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases. Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI. Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing Python code to execute data pipelines and train ML/DL models and deploy on container-based orchestrators. Answer questions and provide mentorship to the GSI Ecosystem. Working with Partner Business Managers to assist partners and customers on their mission-critical projects. You will help them build their GPU enabled Accelerated Compute datacenters and get the most out of their investment. Partner with APAC Regional and HQ Engineering, Product and Sales teams to develop, plan best suitable solutions for Partners. Enable development and growth of product features through customer feedback and proof-of-concept evaluations Running NVIDIA Deep Learning Institute and Skills Transfer sessions with GSI’s, Customers, OEM’s and partners around NVIDIA & others HW and SW solutions. What we need to see: Professional, long term experience as a Data Scientist (focus on AI/DL/ML) developing/supporting customer facing projects experience on computer vision, Conversional AI, or data analytics technologies, especially in RAG and Agentic AI workflows. BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) Strong customer facing or presales/consulting and technical experience and skills with AI/ML/Big Data frameworks assisting them with. 5+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs Good planning and long term strategic engagement and orchestration with a broad ecosystem of stakeholders from customer, to internal and external parties. Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers. You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team, with excellent presentation, verbal and written communication skills. You are able to work remotely, planning well with strong partnering with a small team with an attitude for growth, passion for continuous learning and sharing findings across the team Ways to stand out from the crowd: Have experience leading technical teams working with partners and or customers, or consulting/advisor experience in the AI space. AI/Data Science project management, liaising with multiple stakeholders to drive projects, and coordinating resources inside (and outside if relevant) the organization. Proficient developer experience on NVIDIA SDK platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem. Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques Have a willingness and ability to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener. 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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you! 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The Solutions Architect will enable GSI developers to adopt NVIDIA technologies for their Generative AI offerings and construct complex workflows for AI agents. They will also work closely with Business Managers and other teams to craft effective strategies and build full stack solutions for enterprise use cases.