Solutions Architect

Solutions Architect

Full-Time 49500 - 60500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Become an NVIDIA AI expert and enable developers to adopt cutting-edge Generative AI technologies.
  • Company: Join NVIDIA, a leader in AI and deep learning innovation.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on continuous learning and collaboration.
  • Why this job: Make a real impact in the AI field while working with top-tier technology.
  • Qualifications: Experience in AI/DL/ML and strong communication skills are essential.

The predicted salary is between 49500 - 60500 $ per year.

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 role requires a combination of technical authority as well as 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, while also focusing on successfully managing projects and strong personal and organisational skills.

As part of our Solutions Architecture team, you will work with exciting computing software and hardware, driving 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.
  • Constructing complex workflows for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously.
  • Working with Business Managers to craft actionable strategies for the broader GSI group and partnering with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions.
  • Encouraging 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.
  • Answering questions and providing mentorship to the GSI Ecosystem.
  • Assisting partners and customers on their mission-critical projects to build GPU enabled Accelerated Compute datacenters.
  • Partnering with APAC Regional and HQ Engineering, Product and Sales teams to develop suitable solutions for Partners.
  • Enabling 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.

What we need to see:

  • Professional experience as a Data Scientist (focus on AI/DL/ML) developing/supporting customer facing projects in computer vision, Conversational AI, or data analytics technologies.
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
  • Strong customer facing or presales/consulting experience with AI/ML/Big Data frameworks.
  • 5+ 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 with a broad ecosystem of stakeholders.
  • Clear written and oral communication skills with the ability to collaborate with management and engineering.
  • A self-starter with a passion for continuous learning and sharing findings across the team.
  • Able to work remotely, planning well with strong partnering with a small team.

Ways to stand out from the crowd:

  • Experience leading technical teams working with partners or customers, or consulting/advisor experience in the AI space.
  • AI/Data Science project management, liaising with multiple stakeholders to drive projects.
  • Proficient developer experience on NVIDIA SDK platform using Nemo and NIM, ML/DL frameworks and MLOps tools.
  • Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques.
  • A willingness and ability 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. We do not discriminate 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.

Solutions Architect employer: NVIDIA Corporation

NVIDIA Corporation is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI solutions. Located at the forefront of technology, employees benefit from extensive growth opportunities, competitive compensation, and the chance to work alongside industry leaders in government and research sectors, making a meaningful impact on advanced technology engagements.

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Contact Details:

NVIDIA Corporation Recruitment Team

We think you need these skills to ace Solutions Architect

Generative AI
Large Language Models (LLMs)
Scalable Software Engineering Practices
Project Management
Python Programming
Machine Learning (ML)
Deep Learning (DL)