Solutions Architect
CoderFull Time
Mid-level (3 to 4 years), Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree, Master’s degree, or Doctorate in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering, or a related field, or equivalent experience. They should have at least 8 years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs, along with strong fundamentals in programming and software design, particularly in Python and C/C++.
The Senior Solutions Architect will partner with other solution architects, engineering, product, and business teams to understand customer strategies and technical needs, and help define high-value solutions. They will dynamically engage with developers, scientific researchers, and data scientists, working closely with universities to support the adoption and development of creative solutions using NVIDIA technology, and some travel may be required to support customer success.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.