NVIDIA

Business Systems Analyst, AI and ML

NVIDIA

Santa Clara, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to the exciting world of NVIDIA, where cutting-edge technology and innovation are at the core of everything we do. We are seeking a highly skilled and motivated Business Systems Analyst with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team. As a global leader in visual computing and AI computing, NVIDIA is dedicated to revolutionizing industries and shaping the future of technology. In this role, you will have the opportunity to work with the latest AI and ML technologies, collaborating with cross-functional teams to enhance our business systems and processes. If you have a passion for AI and ML, a strong analytical mindset, and a desire to drive impact, then we want to hear from you! Join us at NVIDIA and be a part of shaping the future of technology.

  1. Research and analyze business needs and requirements to identify opportunities for implementing AI and ML technologies within our business systems.
  2. Collaborate with cross-functional teams, including IT, data science, and business units, to design and implement effective AI and ML solutions.
  3. Develop and maintain expertise in AI and ML technologies, staying up-to-date with the latest advancements and trends.
  4. Conduct thorough testing and troubleshooting to ensure the accuracy and functionality of AI and ML solutions.
  5. Communicate and present findings, insights, and recommendations to key stakeholders and senior management.
  6. Identify potential risks and issues related to AI and ML implementation, and develop strategies to mitigate them.
  7. Train and support end-users on the use and functionality of AI and ML solutions.
  8. Collaborate with vendors and external partners to evaluate and integrate new AI and ML technologies.
  9. Continuously monitor and evaluate the performance and impact of AI and ML solutions, making recommendations for improvements and enhancements.
  10. Stay updated on industry standards and best practices for AI and ML, and provide guidance for their integration into our business systems.
Where is this job?
This job is located at Santa Clara, CA, USA
Job Qualifications
  • Strong Understanding Of Ai And Ml Technologies: A Business Systems Analyst At Nvidia Should Have A Deep Understanding Of Artificial Intelligence And Machine Learning Technologies, Including Their Capabilities, Limitations, And Applications. This Knowledge Is Essential For Effectively Analyzing Business Requirements And Recommending Appropriate Solutions.

  • Experience In Data Analysis And Modeling: As Ai And Ml Rely Heavily On Data, A Business Systems Analyst Must Possess Strong Skills In Data Analysis And Modeling. This Includes The Ability To Identify Patterns And Trends In Data, As Well As The Ability To Translate Business Requirements Into Technical Specifications.

  • Proficiency In Programming And Scripting Languages: A Strong Foundation In Programming And Scripting Languages Such As Python, R, And Sql Is Crucial For A Business Systems Analyst At Nvidia. These Languages Are Commonly Used In Ai And Ml Development, And The Ability To Write And Understand Code Is Essential For Effective Communication With Data Scientists And Developers.

  • Knowledge Of Ai And Ml Frameworks: Nvidia Is A Leader In Ai And Ml Technologies, And As Such, A Business Systems Analyst Should Have Knowledge Of The Company's Ai And Ml Frameworks, Such As Cuda, Tensorrt, And Cudnn. This Knowledge Will Enable The Analyst To Better Understand The Capabilities And Limitations Of These Frameworks And Make Informed Decisions When Recommending Solutions.

  • Strong Communication And Problem-Solving Skills: As A Liaison Between Business Stakeholders And Technical Teams, A Business Systems Analyst Must Possess Excellent Communication And Problem-Solving Skills. This Includes The Ability To Translate Technical Concepts Into Non-Technical Language, As Well As The Ability To Identify And Resolve Issues That May Arise During Ai And Ml Projects.

Required Skills
  • Project Management

  • Business Intelligence

  • Data Analysis

  • Data Modeling

  • Machine Learning

  • Technical Writing

  • Artificial Intelligence

  • System Design

  • Predictive analytics

  • Requirements Gathering

  • Software integration

  • Process

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Teamwork

  • Active Listening

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Business Systems Analyst, AI and ML in Santa Clara, CA, USA is between $108,000 and $150,000 per year. However, factors such as experience, education, skills, and the specific company can impact the exact salary for this role. Additionally, location can also play a factor in determining salary, as the cost of living in Santa Clara is higher than in other parts of the country.

Additional Information
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedMarch 25th, 2024
Apply BeforeMay 22nd, 2025
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About NVIDIA

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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