Join NVIDIA as a Solutions Architect in Generative AI
We are seeking a talented Machine Learning Engineer/AI Solutions Architect to join our innovative Solutions Architecture team. If you specialize in AI data pipelines and model development and thrive in dynamic environments, this role will place you at the forefront of cutting-edge computing technologies with NVIDIA’s key clients in the technology sector.
What You'll Be Doing:
- Develop and optimize AI software solutions using NVIDIA’s AI, data science software, and hardware technologies.
- Lead technical customer engagements and optimize AI models and data processing pipelines to maximize performance on NVIDIA GPU architectures.
- Create and manage proof-of-concepts that cater to AI applications in consumer Internet industries such as NLP, recommender systems, etc., demonstrating real-world viability and effectiveness.
- Collaborate closely across teams during the sales process, including business development and technical support for GPU/Network hardware/software products.
- Partner strategically with NVIDIA’s Engineering, Product, and Sales teams to achieve design wins and guide product development through market feedback and PoC evaluations.
What We Need To See:
- Degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field.
- Minimum of 5 years of experience as a Machine Learning or Software Engineer with a solid record in Python and/or C++ programming.
- Proven capability with AI applications and data processing frameworks like PyTorch and Spark.
- Strong communication skills demonstrated via GitHub and technical documentation.
- A self-starter attitude with a deep desire for personal growth, continuous learning, and technical exploration.
Ways To Stand Out From The Crowd:
- Experience interfacing with customers directly and managing external relationships.
- Hands-on experience with large-scale production data pipelines and AI model deployment.
- Development expertise with NVIDIA software libraries, GPUs, and familiarity with MLOps technologies like Kubernetes.
- In-depth knowledge in specialized areas such as computer vision, NLP, or data analytics.
This role offers the potential for remote work with occasional travel required for on-site client visits and data science conferences. We provide a competitive salary ranging from $148,000 to $230,000, based on experience and location, plus equity and comprehensive benefits.
At NVIDIA, we’re driven by diversity and are proud to be an equal opportunity employer. We don’t just accept difference—we celebrate it, support it, and thrive on it for the benefit of our employees, our products, and our global community.
Apply now to build a groundbreaking career in AI and take part in defining the future with one of the most respected tech leaders in the industry!