14 jobs found

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and...

We are now looking for a Senior Research Scientist for Generative AI! NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. What you'll be doing: Conduct original research in the space of generative AI Implement and train large-scale generative AI models for various content creation applications Collaborate with other research team members, a diverse set of internal product teams, and external researchers...

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...

Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, a related technical field, or equivalent practical experience. 3 years of experience assessing and developing cybersecurity solutions and programs across security domains. 3 years of experience in an intelligence practitioner role. Ability to travel up to 30% of the time. Must possess an active Top Secret/SCI security clearance. Preferred qualifications: Certifications related to specific cloud platforms. Experience implementing industry-leading practices around cyber risks and cloud security for clients’ cloud security frameworks using industry standards. Experience in identifying and mitigating cyber threats from Chinese state-sponsored actors. Experience with cloud governance, with the ability to convey governance principles to cloud computing in terms of policies. Excellent time and project management skills. About...

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...

Join Purdue University, a leader in cutting-edge research and innovation, as a  Senior Computational Scientist supporting world-class investigators at the forefront of scientific discovery. Become part of a collaborative environment where your expertise helps turn complex computational challenges into groundbreaking results. What You’ll Do: Serve as a consultative partner, enabling researchers to leverage large-scale computing systems and tools to explore the most challenging questions in science and engineering Use creativity and innovation to develop solutions for unique computing problems, collaborating with colleagues, researchers, national partners, and vendors to deploy novel computational and data technologies Diagnose, design, code, test, and maintain sophisticated programs crucial to research success Lead training workshops that empower a diverse research community, helping everyone—from students to principal...

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...

The Department of Chemical Biology and Therapeutics is seeking a bioinformatician to join our highly collaborative environment. The ideal candidate will have knowledge and experience working with systems biology, drug-gene interactions, and network analysis. Projects will focus on advancing cutting-edge drug discovery programs for childhood catastrophic diseases using the latest approaches in proximity-based targeting. Specifically, based on the mechanistic basis of disease, our goal is to develop unique chemical approaches (protein degraders, synthetic gene regulators and/or functional effectors) to degrade or manipulate targets relevant to pediatric oncology, neurodegenerative disorders and sickle cell disease. This position will work closely with researchers in the Center of Excellence for Data Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality...

St. Jude is where those with a passion for making a difference come to break new ground. Located in Memphis, Tennessee, the mission of St. Jude Children’s Research Hospital is to advance cures, and means of prevention, for pediatric catastrophic diseases through research and treatment. We are leading the way the world understands, treats and defeats childhood cancer and other life-threatening diseases. Job Overview We are seeking a highly experienced Data Center Architect with a strong emphasis on design and planning. This critical role will be instrumental in shaping the future of our data center infrastructure, ensuring its scalability, efficiency, and resilience. You will lead the development and implementation of our data center strategies, from initial concept and design through to deployment and continuous optimization, all while ensuring operational excellence. Key Responsibilities: Conduct thorough needs assessments and capacity planning to ensure our...

The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include*: Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in...