10 jobs found

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of 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. Come join the team and see how you can make a lasting impact on the world. We are looking for a marketing professional with a technical background to join our product marketing team. In this role, you will help data scientists and data engineers realize the value of accelerated computing for data science, data analytics, and...

At NVIDIA, our mission is to transform industries through the power of accelerated computing and artificial intelligence. For more than two decades, we have pioneered visual computing and redefined how technology solves the world’s most complex problems. Today, our GPUs and AI platforms empower breakthroughs in deep learning, robotics, healthcare, self-driving cars, and more. Within our global IT organization, the IT PMO acts as the Strategy & Planning Office, encouraging alignment across IT programs, portfolios, and central initiatives. We are launching a new IT Data Analytics & Insights Org to define, manage, and scale the analytics platforms, metrics, and dashboards used to measure IT efficiency. This is a Director-level position. Initially, the role will involve hands-on work, blending technical tasks with long-term vision. As the groundwork is laid, the Director will take on the task of forming and overseeing an effective team. Duties include designing...

Land, Buildings & Real Estate (LBRE) is the operational core of Stanford University’s physical campus. LBRE constructs and maintains the Stanford campus, where advancements across the academic spectrum are made possible. Our work is founded upon the collective value of dedication, innovation, expertise, teamwork, and continuous improvement. We are committed to serving the university’s academic mission, as well as preserving and enhancing Stanford’s 8,180 acres, and pride ourselves on supporting the teaching and research of the university as “Caretakers of a Legacy." Position Summary: The role will work with an experienced Data Architect and Senior Software engineer to support implementation and deployment of various solutions Involving data along with creating the maintenance documents. The role will involve data analysis, Data Visualization and testing. This will also include Executing all programming tasks, including...

This is a 3-year fixed term appointment. Stanford Data Science This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization’s goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. POSITION SUMMARY Stanford University has made a strategic...

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects....

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for...

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. Ability to select the most appropriate statistical tools for a given data analysis problem, paired with outstanding written and verbal communication....

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: PhD degree in Statistics, Math, Computer Science, Engineering, or related quantitative fields or Master's degree with 3 years of experience in quantitative areas. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Experience in experiments (e.g., design of experiments, experiment logging, multiple hypothesis testing, causal inference). Experience working in a development lifecycle, defining requirements, checking in code, testing, staging, production. Ability to...

Purdue University’s College of Engineering seeks an accomplished and strategic leader to serve as the Director of Data Analytics and Information. This key position supports the Dean, Cabinet, and Engineering Leadership Team in leveraging data to guide decisions, measure impact, and shape the future of one of the world’s leading engineering colleges. The Director will oversee a collaborative and high-performing team that drives data-informed strategies across areas such as student success, faculty and graduate development, research performance, entrepreneurship, tech transfer, and college reputation management. Working closely with the Dean’s Office, this role ensures that complex and dynamic institutional priorities are supported with sound analytics, meaningful insights, and actionable intelligence. What You’ll Do Partner with the Dean and Executive Cabinet to identify priorities, analyze institutional data, and develop proposals and...

Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation &...