Job Overview
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Job Description
Overview
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement as a Senior Solutions Architect, Generative AI.
You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production using Data Processing for Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
What You Will Be Doing
- Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
- Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
- Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
- Working closely with customers to help them adopt and build creative solutions using NVIDIA technology
- Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases
- Some travel to conferences and customers may be required
What We Need To See
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
- 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics
- Strong fundamentals in programming, optimizations, and software design, especially in Python
- Strong problem-solving and debugging skills
- Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
- Excellent presentation, communication and collaboration skills
Ways To Stand Out From The Crowd
- Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure
- Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDS
- Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks
- Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
- Familiarity with parallel programming and distributed computing platforms
Key skills/competency
- Generative AI
- Deep Learning
- Machine Learning
- Data Analytics
- GPU Technologies
- Python Programming
- Containerization
- Kubernetes
- Cloud Computing
- LLMs
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight Generative AI, Deep Learning, and GPU experience using keywords from the job description.
- Showcase project impact: Quantify achievements in AI solution deployment and data processing on your resume and cover letter.
- Prepare for technical depth: Expect questions on ML algorithms, Python, containerization, and distributed computing.
- Emphasize collaboration and communication: NVIDIA values teamwork; illustrate your ability to partner and engage with diverse teams.
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