Senior Software Engineer - Optimization

Requirements:

• PhD or Masters degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience)
• Experience developing, debugging, and optimizing high-performance applications with GPU acceleration
• Excellent C++ parallel programming and software design skills. CUDA is a plus.
• Deep understanding of fundamental numerical methods and computations in science and engineering. Experience developing combinatorial or mathematical optimization solvers is a plus.
• Strong communication and interpersonal skills are required along with the ability to work in a dynamic team. Experience with mentoring junior engineers and interns is a plus.
• 5+ years of experience

What You'll Be Doing:

• Designing and implementing groundbreaking techniques in the field of decision science and mathematical optimization
• Performance tuning, optimization, and benchmarking of large-scale parallel numerical software
• Collaborating with other software engineers, internal and external researchers, and a diverse set of internal product teams
• Finding opportunities to improve the code base and reduce code maintenance overhead through re-architecting
• Exercise leadership and coordinate with multiple teams to achieve objectives

Perks and Benefits:

• Join a team working on next-generation solvers to accelerate optimization with modern, highly-parallel hardware architectures
• Opportunity to work on cutting-edge technology for addressing tough problems in operations research
• Be part of an innovative team at NVIDIA, known for its industry-leading technology
• Work with forward-thinking and hardworking individuals in a creative and collaborative environment