Do you want to be part of the team that brings Artificial Intelligence (AI) emerging technology to the field? We are looking for a Solution Architect to join the NVIDIA AI Specialist team focused on Machine Learning, Deep Learning, and Accelerated Data Analytics.

　　At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to tackle some of the most complex problems in computer science. It started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and autonomous vehicles that can perceive and understand the world. If you are passionate about AI and how it can be applied to solve real-world problems, we should talk. NVIDIA is the world leader in GPU accelerated computing and AI, and is looking for developers like you to design and build enterprise AI solutions using our newest technology. As a member of the AI Specialist Solution Architecture team, you will work closely with customers and partners to tackle hard problems across industries and build and deploy AI solutions in production at scale.

　　What you’ll be doing:

　　A big part of our day-to-day job is developing end-to-end Machine Learning & Deep Learning solutions and recipes that enable Enterprise cybersecurity use cases. We work with customers to successfully adopt NVIDIA AI SDKs and APIs in production by providing deep technical product expertise.

　　We solve customer problems by creating solutions using our innovative technology for Machine Learning and Deep Learning including Large Language Models, Compute Vision systems, Recommender systems, and Advanced Generative AI systems.

　　As we work with customers across multiple industries, we identify common trends that lead to success. With this knowledge, we help improve NVIDIA products and build creative solutions to overcome any adoption challenges.

　　We contribute to the wider organization and community by sharing our expert knowledge with others. This can vary from building hands-on training to writing papers, developer blogs, and teaching.

　　What we need to see:

　　BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar or equivalent experience

　　5+ years experience in Deep Learning and Machine Learning; experience with GPUs, as well as experience in using deep learning frameworks such as TensorFlow or PyTorch.

　　Strong coding development and debugging skills; including experience with Python, C/C++, Bash, as well as Cloud services, Spark and Linux.

　　Experience developing AI systems that consume common cybersecurity data modalities (e.g., NetFlow, PCAP, SysLog, endpoint logs, authentication logs, etc.)

　　Strong analytical and problem-solving skills.

　　Ability to multitask effectively in a dynamic environment. As well as, clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

　　Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners, and co-workers.

　　Ways to stand out from the crowd:

　　Demonstrate expertise and hands-on experience with NVIDIA AI products, with special interest on AI Cybersecurity (NVIDIA Morpheus (https://docs.nvidia.com/morpheus/index.html) ).

　　Hands-on experience designing parallel and/or concurrent computing applications.

　　Leadership experience working with customers and managing large projects with multiple collaborators.

　　Show willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.

　　Above all, you will be part of the team that helps bring NVIDIA technology to life in the Enterprise! We empower you and give you the tools to achieve this with the backing of all of NVIDIA, including other Solutions Architects, Product, and Engineering teams. You’ll get to be the face and trusted expert advisor that our customers will rely on.

　　The base salary range is 144,000 USD - 270,250 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 benefits (https://www.nvidia.com/en-us/benefits/) . 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.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .