Remote job
Senior Solutions Architect, Supercomputing
Job details
About this role
Role overview
A senior solutions architect helps customers and partners turn demanding AI, machine learning, and high-performance computing goals into practical technical solutions. The work combines customer engagement, architecture guidance, hands-on problem solving, and technical education, while also advising other architects and coordinating with internal engineering and research teams. The position requires U.S. citizenship and a security clearance.
Responsibilities
- Work with account and industry teams to understand customer objectives and shape solutions that address their technical needs. - Advise on GPU and networking architectures for AI and HPC workloads in data centers and at the edge. - Support customers and partners through technical discussions, implementation challenges, and collaboration with developers and researchers. - Share expertise through technical demonstrations, sample projects, presentations, articles, and other learning materials. - Build strategic relationships with major customers and solution partners, and help guide fellow solutions architects. - Coordinate multiple initiatives and travel as needed to support customer and partner engagements.
Requirements
- Bachelor’s degree in engineering, mathematics, physics, computer science, or equivalent experience. - At least eight years of relevant experience in data science or software development, including knowledge of GPU parallel computing. - Familiarity with application deployment practices and tools such as Slurm, containers, or Kubernetes. - Experience with generative AI and agentic AI architectures or frameworks. - Strong communication, organization, analytical, and problem-solving skills, including experience educating customers and supporting technical engagements. - U.S. citizenship and ability to obtain or hold a security clearance.
Nice to have
- Experience applying data science to industry problems, GPU programming, CUDA development and optimization, or network software. - Technical thought leadership or research in areas such as deep learning, machine learning, agentic AI, surrogate models, or foundation models.