NVIDIA Corporation
Senior Solutions Architect, HPC and Generative AI Deployment
NVIDIA Corporation, Chicago, Illinois, United States
Senior Solutions Architect, HPC page is loaded## Senior Solutions Architect, HPClocations:
US, MA, Remote:
US, IN, Remote:
US, IL, Remote:
US, NY, Remote:
US, MI, Remotetime type:
Full timeposted on:
Posted Yesterdayjob requisition id:
JR1999283**What You Will Be Doing:*** Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions* Dynamically engaging with developers, scientific researchers, data scientists* Working closely with universities to help them adopt and build creative solutions using NVIDIA technology* Some travel is required for this role, you are empowered to find the best way to support and make our customers successful**What We Need To See:*** BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)* 8+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs* Experience porting and/or optimizing scientific applications targeting GPUs* Strong fundamentals in programming and software design, especially in Python and C++* Strong problem-solving and debugging skills* Excellent knowledge of theory and practice of AI at scale* Excellent presentation, communication and collaboration skills**Ways To Stand Out From The Crowd:*** Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries and runtime (MPI, NCCL, UCX, NVSHMEM)* Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design* Experience working with academic research community supporting HPC or AI* Familiarity with distributed computing platforms, containers and scheduling toolsThe base salary range is 184,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and . *NVIDIA accepts applications on an ongoing basis.*NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr
US, MA, Remote:
US, IN, Remote:
US, IL, Remote:
US, NY, Remote:
US, MI, Remotetime type:
Full timeposted on:
Posted Yesterdayjob requisition id:
JR1999283**What You Will Be Doing:*** Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions* Dynamically engaging with developers, scientific researchers, data scientists* Working closely with universities to help them adopt and build creative solutions using NVIDIA technology* Some travel is required for this role, you are empowered to find the best way to support and make our customers successful**What We Need To See:*** BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)* 8+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs* Experience porting and/or optimizing scientific applications targeting GPUs* Strong fundamentals in programming and software design, especially in Python and C++* Strong problem-solving and debugging skills* Excellent knowledge of theory and practice of AI at scale* Excellent presentation, communication and collaboration skills**Ways To Stand Out From The Crowd:*** Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries and runtime (MPI, NCCL, UCX, NVSHMEM)* Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design* Experience working with academic research community supporting HPC or AI* Familiarity with distributed computing platforms, containers and scheduling toolsThe base salary range is 184,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and . *NVIDIA accepts applications on an ongoing basis.*NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr