We are seeking a software engineer with expertise in parallel processing and GPU architecture to enhance performance in AI, high-performance computing, and financial markets. The role involves collaborating with industry and academic experts to develop techniques that optimize complex workloads. Candidates will engage in performance tuning and contribute to the design of future hardware and software systems. This position offers the opportunity to make a significant impact across the industry.

• Strong hands-on experience with CUDA and parallel programming.
• Deep understanding of CPU/GPU architecture fundamentals and their impact on performance.
• A Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field.
• Fluency in C/C++ and a solid foundation in algorithms and software design.
• 5+ years of relevant work or research experience.
• Proven experience improving the performance of large-scale computational applications on GPUs.
• Excellent understanding of linear algebra.
• Strong communication and organizational skills, with a logical approach to problem-solving and solid prioritization abilities.

• Design and develop groundbreaking techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.
• Work hands-on with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profile and eliminate performance bottlenecks across the stack—from algorithms to kernels to system-level behavior.
• Publish and present work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influence the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

• 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.