9 days ago
Generative AI Application Engineer
NVIDIA
On Site
Full Time
$182,125
Santa Clara, CA
Job Overview
Job TitleGenerative AI Application Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$182,125
LocationSanta Clara, CA
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Job Description
About NVIDIA
At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. Our GPU technology powers computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
We are now looking for a Generative AI Application Engineer.
What You’ll Be Doing as a Generative AI Application Engineer
- Build and deploy automation to improve accuracy, defect detection, and repair workflows across customer-facing systems.
- Develop internal tools and pipelines that use AI, NLP, and LLM technologies to modernize how support content and insights are created and maintained.
- Partner with Support Engineers, Product Teams, and AI teams to streamline publishing, QA, and triage workflows at scale.
- Analyze large volumes of customer and system data to identify patterns, address critical issues, and continuously enhance support quality.
- Build Docker or Kubernetes containerized microservices with REST APIs to improve scalability of AI and support systems.
What We Need To See
- BS degree in Computer Science or a related technical field (or equivalent experience).
- 5+ years of experience building software or tooling for data, AI, or workflow automation.
- Strong Python skills and familiarity with containerization and REST APIs.
- Familiarity with NLP or LLM techniques such as clustering, fine-tuning, and few-shot learning.
- Strong understanding of data analytics methods.
- Experience with modern AI development tools and engineering for workflow acceleration.
Key skills/competency
- AI-driven automation
- Natural Language Processing (NLP)
- Large Language Models (LLM)
- Python programming
- Docker
- Kubernetes
- REST APIs
- Data analytics
- Workflow optimization
- Software development
How to Get Hired at NVIDIA
- Research NVIDIA's AI innovations: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their generative AI advancements.
- Tailor your resume for Generative AI Application Engineer roles: Highlight Python expertise, experience with NLP/LLM techniques, and projects involving containerization and REST APIs.
- Showcase your AI/ML project portfolio: Provide practical examples of building and deploying AI-driven automation or developing tools leveraging large language models.
- Prepare for technical deep-dives: Expect rigorous interviews on Python, data analytics, microservices, and your understanding of AI development workflows at NVIDIA.
- Demonstrate problem-solving and collaboration: Be ready to discuss how you've partnered with diverse teams to streamline complex workflows and improve system efficiency.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific AI tools does NVIDIA use in its recruiting processes for a Generative AI Application Engineer?
02How does NVIDIA foster a diverse and inclusive environment for Generative AI Application Engineers?
03What is the typical career progression for a Generative AI Application Engineer at NVIDIA?
04What kind of projects would a Generative AI Application Engineer be working on at NVIDIA?
05How can I best demonstrate my Python and containerization skills for the Generative AI Application Engineer role at NVIDIA?
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