Compute DevTech Engineer

Requirements

• A BS, MS, or PhD degree in computer science or in engineering or a domain science with a strong focus on related computational methods or equivalent experience with 10+ years of experience.
• Strong knowledge of C/C++ and/or Fortran with a solid understanding in software design, programming techniques, and algorithms.
• Hands-on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
• Expertise in computational engineering (CAE, EDA), computational geometry, and linear solvers is a plus.

What you'll be doing

• Engage directly with experts in their field to understand and address the problems they are solving today and tomorrow.
• Guide key application developers, contribute directly to the applications, develop reference codes or libraries.
• Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
• Join efforts with diverse groups at NVIDIA such as the architecture, research, libraries, tools, system software, and product management teams to constantly improve our platform.
• Influence the design of next-generation architectures, software stack, and programming models by investigating the impact on application performance and developer productivity.

Perks and Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Great company culture
• Opportunity to work with forward-thinking and hardworking people
• Rapidly growing engineering teams
• Commitment to fostering a diverse work environment and being an equal opportunity employer