Job description
We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!
What You’ll Be Doing:
-
A considerable part of the day-to-day job is staying up on pioneering Deep Learning and Machine Learning ecosystem. You'll be called on to help architect and scale high-performance, distributed AI deployments on prem or in the cloud that are built with the latest NVIDIA GPU supercomputers.
-
Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
-
Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will help them build their GPU and DPU enabled Accelerated Compute datacenters or cloud services to get the most out of their investment.
-
Lead and develop proof-of-concepts (PoCs) for solutions applied to enterprise and industrial applications such as LLM, NLP/NLU, recommender systems, image recognition and video analytics using ML/DL frameworks.
-
Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers in building innovative NVIDIA technology solutions.
-
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.
What We Need To See:
-
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
-
4+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU and CUDA experience extremely helpful.
-
Experience working with DevOps on prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments, additional experience with DPUs will be extremely helpful.
-
Deep understanding of dense data-center design including compute, storage, networking, cloud APIs and IaaS.
-
Ability to multitask effectively in a dynamic environment.
-
Strong analytical and problem-solving skills.
-
Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
-
Comfortable working in a customer-facing environment.
-
Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across teams.
Ways To Stand Out From The Crowd:
-
External customer-facing skill-set and background.
-
Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
-
Development experience with NVIDIA software libraries and GPUs or DPUs.
-
Knowledge of MLOps, DevOps and Cloud oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments etc.
-
Knowledge of MLPerf, LLM, AWS, Azure or GCP.
-
Able to think creatively to debug and solve complex problems.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is $144,000 - $270,250. 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
.
jjbodyshop.com is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, jjbodyshop.com provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, jjbodyshop.com is the ideal place to find your next job.