Join Intel's Datacenter business group, which focuses on developing leadership data center products and driving the company's AI strategy. This team is responsible for optimizing user applications on the Aurora supercomputer at Argonne National Laboratory. The role involves working with cutting-edge technology to support scientific breakthroughs and innovation. Candidates will engage with diverse teams to convey technical requirements and architectural intent.

• Bachelor's degree in Computer Science, Engineering, Computational Science, Math, Physics, or a related field.
• 6+ years of experience with a Bachelor's degree, 4+ years with a Master's degree, or 2+ years with a PhD in software architecture, modeling, debugging, or prototyping.
• 3+ years of experience in computer architecture and familiarity with power and performance software optimization techniques.
• Experience in at least one programming language, such as Python or C++.
• Experience with parallel programming models, frameworks, or tools such as OpenMP or MPI.

• Provide hands-on assistance debugging and optimizing scientific applications on Intel CPUs and GPUs.
• Maintain sufficient knowledge of machine learning to help develop AI-assisted scientific workflows.
• Make high-level design choices for software structure, frameworks, protocols, and algorithms.
• Determine coding practices, development tools, and validation requirements.
• Interact with senior technologists across Intel and within the industry to evaluate feasibility of requirements.

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.