Senior Solutions Architect, Machine Learning
US, NC, Durham
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.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 deep learning and machine learning breakthroughs 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 to date on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud 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 proofs-of-concept (PoCs) for solutions applied to enterprise and industrial applications such as LLM, NLP/NLU, recommender systems, image recognition, video analytics, and DPU applications.
Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers to build innovative NVIDIA technology solutions.
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins for 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.
5+ 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 applications development will be beneficial.
Deep understanding of dense data center design, including computing, storage, networking, cloud APIs, and IaaS.
Ability to multitask efficiently 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.
C/C++ and Python programming skills.
Ways To Stand Out From The Crowd:
Excellent customer-facing skills 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 LLM, MLOps, DevOps, and Cloud-oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments, etc.
Able to think creatively to debug and solve complex problems.
We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences.
With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that define the field of ML/DL, data science, and graphics.
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. 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.Tags: APIs Architecture Computer Science CUDA Deep Learning DevOps Docker Engineering GPU Industrial Kubernetes LLMs Machine Learning Mathematics MLOps NLP PhD Physics Python PyTorch Recommender systems TensorFlow
Perks/benefits: Career development Competitive pay Conferences Equity
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs