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 or Data Scientist to join the NVIDIA AI Specialist team focused on Accelerated Data Processing and Accelerating Data Pipelines. 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 and accelerating end-to-end Machine Learning & Deep Learning solutions and data pipelines that enable Enterprise use cases. We work with customers to successfully adopt NVIDIA AI SDKs and APIs in production by providing deep technical product expertise.

　　Assist customers in analyzing their current workloads to determine whether their jobs would benefit from GPU acceleration using our Spark-RAPIDS Qualification Tool or optimizing their existing GPU Spark cluster performance by using the Spark-RAPIDS Profiling Tool.

　　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 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:

　　Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).

　　8+ years experience demonstrating an established track record in Data Engineering and Machine Learning; experience with GPUs as well as expertise in tuning and analyzing Apache Spark workloads.

　　Strong analytical and problem-solving skills.

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

　　Experience working with NVIDIA Infrastructure, DevOps and MLOps including but not limited to Docker/Containers, Kubernetes, and Data Center or Cloud AI deployments.

　　Ability to multitask effectively in a dynamic environment.

　　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:

　　Demonstrated expertise and hands-on experience with NVIDIA AI products for Machine Learning and Data Processing (RAPIDS (https://rapids.ai/) and sparks-rapids). (https://nvidia.github.io/spark-rapids/)

　　Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks.

　　Comfortable diving deep into Apache Spark metrics and logs and Software development experience in enterprise scale applications and experience in complete Software Development Life Cycle (SDLC).

　　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 Solution Architects, Product, Engineering and Research teams. You’ll get to be the face and trusted expert advisor that our customers and partners rely on.

　　The base salary range is 176,000 USD - 333,500 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 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 .