Senior Solutions Architect, Generative AI
US, CA, Santa Clara
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 Solutions Architect with experience in Generative AI pipeline development and deployment. As part of the Solutions Architect organization, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s key customers. This role offers an excellent opportunity to build your career in the rapidly growing field of AI while enabling the world's most successful technology companies. Primary responsibilities will be to lead software customer technical engagements with NVIDIA products and technologies. Join us in this exciting endeavor!
What You’ll Be Doing:
Develop and demonstrate software solutions based on NVIDIA’s ground breaking AI, data science software and hardware technologies to customers. Develop GenAI model pipeline and perform in-depth analysis and optimization to ensure the best performance on current- and next-generation GPU architectures
Lead and develop proof-of-concepts (PoCs) for solutions applied to Consumer Internet industry use-cases such as NLP/LLM, retrieval, recommender, etc. by working closely with customer's AI developers. Build collateral (notebook/code) for PoCs
Work closely with business development team through the sales process for GPU/Network hardware/software products. Owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies
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
8+ years of experience as an ML/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs
Experience with GenAI applications and LLM fine-tuning, inference optimization and/or RAG pipelines
Ability to communicate your ideas/code clearly through GitHub, documentation
Great teammate who enjoys collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team
Ways To Stand Out From The Crowd:
External customer facing skills and background
Experience with large-scale production data pipelines and AI model training/deployment
Knowledge of MLOps technologies such as containers, Kubernetes, data center deployments etc. Experience working with enterprise developers building computer vision, NLP, or data analytics applications
Able to think creatively to debug and solve complex problems
We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. We look forward to have you join our team!
With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work 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 are defining the field of ML/DL, data science, robotics, and graphics.
The base salary range is 180,000 USD - 276,000 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: Architecture Computer Science Computer Vision Data Analytics Data pipelines Deep Learning Engineering Generative AI GitHub GPU Kubernetes LLMs Machine Learning Mathematics MLOps Model training NLP PhD Physics Pipelines Python Research Robotics
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 Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs