Requirements:

• PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related field
• 12+ years experience in high-performance parallel numerical applications
• Proficiency in C/C++ programming and software design
• Leadership experience in software development projects
• Strong collaboration, communication, and documentation skills

Nice to haves:

• Knowledge of CPU and/or GPU hardware architecture
• Experience with CI/CD systems and project management tools
• Global organization work experience
• Advanced skills in debugging, profiling, and testing
• Proficiency in a scripting language, preferably Python

What you'll be doing:

• Developing scalable library software using modern tools and languages for numerical methods
• Performance tuning, optimization, and benchmarking of algorithms
• Collaborating with product management and partners
• Providing technical leadership and guidance
• Improving library performance and abstractions

Perks and benefits:

• Base salary determined by location, experience, and industry pay standards
• Opportunity to work with cutting-edge technologies
• Being part of a forward-thinking and hardworking team
• Room for creativity and autonomy in your work