Role at a glance
- Job function
-
AI & Data AI Strategy & Consulting AI Solutions Architecture
- Salary
- $124K – $195.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 2+ years of experience
- Education
- Bachelor's
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Role Summary
The Applied AI Innovation Engineer will develop and evaluate AI solutions for real WWFO use cases, taking ideas from proof of concept through pilot. The role collaborates with technical and business teams and provides recommendations that inform the Sales AI Applications roadmap.
What You'll Do
- Collaborate with Solution Architects, Sales, Product, Engineering, and Data teams to understand WWFO use cases and explore potential AI...
- Develop and test prototypes demonstrating how NVIDIA AI capabilities can improve business and user workflows.
- Establish evaluation criteria, quality metrics, success measures, and test plans for proofs of concept and pilots.
- Analyze technical performance, user experience, adoption potential, and business value.
- Use quantitative data, user feedback, and technical findings to identify opportunities, limitations, tradeoffs, and risks.
- Document findings, communicate recommendations, and provide continue / park / drop recommendations aligned with business priorities.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Science, or a related technical field; 2+ years of experience in software engineering, AI or machine learning engineering, solutions engineering, data engineering, technical consulting, or a related area; experience building, testing, or evaluating AI, machine learning, or software prototypes; familiarity with generative AI, APIs, cloud platforms, data workflows, and modern application development; experience using data, experiments, testing, or user feedback to evaluate technical solutions and make recommendations; ability to translate business problems into technical approaches and communicate with technical and non-technical audiences; ability to collaborate across teams and organize multiple evaluation efforts with different priorities.
Required
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Science, or a related technical field
- 2+ years of experience in software engineering, AI or machine learning engineering, solutions engineering, data engineering, technical...
- Experience building, testing, or evaluating AI, machine learning, or software prototypes
- Familiarity with generative AI, APIs, cloud platforms, data workflows, and modern application development
- Experience using data, experiments, testing, or user feedback to evaluate technical solutions and make recommendations
- Analytical and problem-solving approach to assessing solutions, comparing tradeoffs, and making evidence-based recommendations
- Ability to translate business problems into technical approaches and communicate with technical and non-technical audiences
- Ability to collaborate across teams and organize multiple evaluation efforts with different priorities
Preferred
- Experience evaluating AI assistants, retrieval-augmented generation, agentic workflows, or AI productivity tools
- Experience with Python or another programming language, AI frameworks, machine learning frameworks, or APIs
- Familiarity with prompt design, evaluation methods, model performance, responsible AI, data privacy, or AI governance
- Experience designing experiments, pilots, benchmarks, or other structured approaches for comparing technical solutions
- Experience working with enterprise users to understand workflows, identify AI opportunities, and present findings or arguments to...
- Exposure to NVIDIA AI platforms, accelerated computing, or enterprise AI technologies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for an Applied AI Innovation Engineer to join our team and play an important role in developing innovative AI solutions. This position offers the opportunity to evaluate NVIDIA AI capabilities against real WWFO use cases and contribute to innovations that improve how teams work and make decisions. You will take ideas from proof of concept through pilot, collaborate with technical and business teams, and provide recommendations that help shape the Sales AI Applications roadmap!
What you’ll be doing:
Collaborate with Solution Architects, Sales, Product, Engineering, and Data teams to understand WWFO use cases and explore potential AI solutions.
Develop and test prototypes that demonstrate how NVIDIA AI capabilities can improve business and user workflows.
Establish evaluation criteria, quality metrics, success measures, and test plans for proofs of concept and pilots.
Perform detailed analyses of technical performance, user experience, adoption potential, and business value.
Use quantitative data, user feedback, and technical findings to find opportunities, limitations, tradeoffs, and risks.
Document findings and communicate recommendations clearly to technical and non-technical team members.
Provide evidence-based continue / park / drop recommendations aligned with business priorities and translate evaluation patterns into roadmap insights.
Explore generative AI, agentic workflows, retrieval systems, and other NVIDIA technologies that could support WWFO use cases.
What we need to see:
A bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Science, or a related technical field is encouraged.
2+ years of experience in software engineering, AI or machine learning engineering, solutions engineering, data engineering, technical consulting, or a related area.
Experience building, testing, or evaluating AI, machine learning, or software prototypes.
Familiarity with generative AI, APIs, cloud platforms, data workflows, and modern application development.
Experience using data, experiments, testing, or user feedback to evaluate technical solutions and make recommendations.
An analytical and problem-solving approach to assessing solutions, comparing tradeoffs, and making evidence-based recommendations.
Ability to translate business problems into technical approaches and communicate with technical and non-technical audiences.
Ability to collaborate across teams and organize multiple evaluation efforts with different priorities.
Ways to stand out from the crowd:
Experience evaluating AI assistants, retrieval-augmented generation, agentic workflows, or AI productivity tools.
Experience with Python or another programming language, AI frameworks, machine learning frameworks, or APIs. Familiarity with prompt design, evaluation methods, model performance, responsible AI, data privacy, or AI governance.
Experience designing experiments, pilots, benchmarks, or other structured approaches for comparing technical solutions.
Experience working with enterprise users to understand workflows, identify AI opportunities, and present findings or arguments to leadership and cross-functional teams.
Exposure to NVIDIA AI platforms, accelerated computing, or enterprise AI technologies.
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.