NVIDIA is seeking a passionate individual to join its cuOpt team, which focuses on redefining decision-making systems through GPU-accelerated platforms. The role involves working on decision optimization, generative AI, and advanced parallel computing techniques. As part of a diverse and innovative environment, you will have the opportunity to apply your skills in a meaningful way. This position is ideal for those pursuing a PhD in Computer Science or a related field and looking to make a significant impact in the realm of decision intelligence.

• Pursuing a PhD degree in Computer Science or a related field
• Excellent parallel C++ programming skills, with familiarity in CUDA programming
• Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization
• Knowledge of mathematical programming and heuristics like genetic algorithms and large neighborhood search
• Ability to work independently and lead your own development effort

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

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.