We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industries. In addition, you will be the trusted advisor for the solutions architects on your team. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role and will give you experience with a range of partners and concerns., + Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.

• 5+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.

• Background working with modern application deployment practices including but not limited to Slurm, Docker/Containers, and Kubernetes.

• Experience with modern Generative AI and Agentic AI architecture and frameworks.

• Strong written and oral communication skills with the ability to effectively collaborate with accounts, customers, management, and engineering. A big part of this role is educating our customers, whether that be through product roadmaps/presentations/briefings or hands-on engagement with developers.

• Experience supporting customers/partners in technical engagements.

• Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

• Strong analytical and problem-solving skills.

Ways to stand out from the crowd:

• Experience applying data science to industry problems.

• Experience using GPGPU programming and design practices.

• CUDA programming and optimization experience.

• Background with network software development.

• Experience with AI: Published record of thought leadership in a technical area or industry segment - Deep Neural Network, Machine Learning R&D - Agentic AI, surrogate Models, or foundation models.

NALASAHiring

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.