Solutions Architect - AI Development

About NVIDIA and the Role

With over 25 years of pioneering advancements in computer graphics, gaming, and accelerated computing, NVIDIA continues to lead by innovating in AI to shape the future of computing. Our GPUs serve as intelligent cores in computers, robots, and autonomous vehicles capable of interpreting their surroundings. Joining NVIDIA means becoming part of a diverse and supportive environment where exceptional talent thrives to create impactful technology.

Key Responsibilities

• Lead and provide mentorship to junior technical team members, fostering a culture of collaboration and inclusivity.
• Partner with management to design and execute strategic projects involving higher education institutions, industry partners, and government, ensuring smooth project delivery.
• Act as a subject matter expert in both research and engineering, driving collaborations with academia and industry.
• Serve as a technical authority on NVIDIA technologies including Omniverse, NeMo, NIMs, RAPIDS, and deep learning toolkits.
• Support NVIDIA's global mission to accelerate AI proliferation by organizing and participating in workshops, symposiums, and knowledge-sharing events.
• Guide and mentor collaborators, interns, and students, equipping them with skills to successfully deliver AI projects.
• Create educational content such as tutorials, demonstrations, and workshop materials highlighting NVIDIA’s cutting-edge innovations.

Qualifications and Skills

• Minimum of 5 years’ experience working with NVIDIA technologies like Omniverse, NeMo, NIMs, RAPIDS, and expertise in AI model training on accelerated compute platforms.
• Strong background in AI research domains including Digital Twins, Synthetic Data Generation, Immersive Multimedia, and Generative AI.
• Doctorate or equivalent experience in Artificial Intelligence or closely related research fields.
• Proven ability to lead and provide guidance on research and engineering initiatives.
• Experience mentoring technical teams in research and engineering contexts.
• Demonstrable skill in fostering AI ecosystem growth and partnerships.
• Proficient in Python programming and experienced with AI/ML frameworks such as PyTorch.
• Expertise in synthetic data creation, digital twins, immersive multimedia, and advanced machine learning and deep learning methodologies.
• Self-motivated with excellent time management, able to work independently and collaboratively.
• Strong communication skills to clearly explain complex AI concepts to diverse audiences.

Additional Information

Recognized globally as a top employer in technology, NVIDIA offers competitive compensation along with extensive benefits to support employees and their families.