PhD Parallel Computing Intern - Decision Intelligence

NVIDIA; Santa Clara (CA); On-site; USD 41,328 - 129,494; Full time

Benefits offered by this job

Competitive salaries

Comprehensive benefits package

Intern benefits

Job summary

NVIDIA is looking for interns passionate about decision optimization and advanced parallel computing techniques. Join the cuOpt team to prototype and develop parallel algorithms leveraging GPU technology to redefine decision-making systems.

The ideal candidate is pursuing a PhD in Computer Science, with excellent skills in parallel C++ and CUDA programming. Competitive hourly rates between $30 and $94 are offered, along with comprehensive intern benefits.

Qualifications

• Excellent parallel C++ programming, with familiarity in CUDA programming.
• Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization.
• Ability to work independently and lead your own development effort.

Responsibilities

• Prototype and develop parallel algorithms for decision optimization problems.
• Performance tuning, optimization, and benchmarking of large-scale parallel numerical software.
• Collaborate with team members to understand software use cases and requirements.

Skills

Parallel C++ programming

CUDA programming

Understanding of algorithms

Mathematical programming

Scripting language proficiency

Education

Pursuing a PhD degree in Computer Science or a related field

Job description

NVIDIA is looking for interns passionate about decision optimization and advanced parallel computing techniques. Join the cuOpt team to prototype and develop parallel algorithms leveraging GPU technology to redefine decision-making systems.

The ideal candidate is pursuing a PhD in Computer Science, with excellent skills in parallel C++ and CUDA programming. Competitive hourly rates between $30 and $94 are offered, along with comprehensive intern benefits.