Your contributions will support product lines powering the world's most advanced data centers ... Develop and provide ongoing support for meta-packages, software repositories, release channels ...
Your contributions will support product lines powering the world's most advanced data centers ... Develop and provide ongoing support for meta-packages, software repositories, release channels ...
Meta Data Science information
What are the typical daily responsibilities of a meta data science?
In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.
What is a meta data science?
A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.
How to get a data science job at Meta?
To secure a data science job at Meta, candidates should have a strong background in statistics, programming (especially Python or R), and experience with data analysis and machine learning. Building a portfolio of relevant projects, gaining experience through internships, and demonstrating problem-solving skills are also important. Familiarity with tools like SQL, data visualization, and understanding of social media or tech platforms can enhance prospects.
What are the key skills and qualifications needed to thrive in meta data science?
To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.
How much do meta data scientists make?
Meta data scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and data engineering can earn higher salaries, often exceeding $180,000 per year.
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What are popular job titles related to Meta Data Science jobs in Colorado? For Meta Data Science jobs in Colorado, the most frequently searched job titles are:
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Full-time
Posted 24 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
Job description
NVIDIA wants an outstanding Software Linux Engineer to strengthen our installation, packaging, and software delivery features for NVIDIA's networking software. In this role, you will craft, develop, and maintain user-space tools, packaging systems, software repositories, and installation flows across leading Linux distributions. These include traditional package ecosystems and modern declarative systems like NixOS (Nix package manager). This position allows you to make a tangible difference in a dynamic, technology-focused organization. Your contributions will support product lines powering the world's most advanced data centers, cloud environments, and HPC systems.
Are you driven by Linux, system-level integration, and crafting seamless installation experiences? Do you want to play a role in promoting the deployment of high-speed networking solutions throughout multiple Linux systems, including developing declarative and reproducible package management methods? Are you enthusiastic about working on next-generation packaging technologies, automation, and AI-supported engineering solutions while enabling customers and internal teams to speed adoption?
What you'll be doing:
Build, implement, and maintain installation, packaging, and software delivery workflows for NVIDIA networking software across major Linux distributions (Debian, Ubuntu, RHEL, SLES, NixOS, etc.).
Develop and provide ongoing support for meta-packages, software repositories, release channels, profiles, and tools. These resources help streamline user-space installation and configuration on traditional and declarative package managers like DEB/RPM and Nix.
Build and implement automation solutions to improve package validation, release quality, and engineering efficiency, including the adoption of AI-assisted development workflows.
Work with distribution maintainers and ecosystem communities (including Nix/NixOS) to ensure compatibility and smooth delivery through native packaging systems.
Perform system-level testing and verification of package installations on various platforms and OS versions.
Collaborate with cross-functional teams (kernel, QA, release engineering, architecture, and support) to ensure installation quality, maintainability, and scalable software delivery.
Contribute to Linux kernel driver development and backporting to support advanced networking features.
What we need to see:
Bachelor's degree in Computer Science, Computer/Software Engineering, or a related area (or equivalent experience).
4+ years of software development experience, with a strong focus on Linux system-level development.
Skilled in Linux package management tools (dpkg, RPM, yum, apt, zypper, Nix) along with scripting languages like Python or Bash.
Experience with packaging standards, repository management, release automation, and CI/CD workflows.
Familiarity with kernel backporting, patch management, and driver installation (a plus).
Excellent communication and collaboration skills with a customer-focused approach.
Strong debugging and troubleshooting skills across diverse Linux environments.
Ways to stand out from the crowd:
MS in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience with deep knowledge of Linux operating systems and distribution lifecycle management.
Experience crafting package repositories or software distribution infrastructure as well as working with the NixOS ecosystem and Nix package manager in live production settings.
Experience applying AI tools to software development, testing, or automation workflows.
Familiarity with cloud or containerized environments (e.g., Docker, Kubernetes).
Experience supporting large-scale deployment environments in data center or HPC settings.
NVIDIA is widely regarded as one of the most sought-after employers in the tech industry. We employ many dedicated and innovative individuals worldwide. If you are passionate about Linux systems, enjoy solving real-world problems, and want to help develop the future of AI and networking infrastructure, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 Nvidia
Sourced by ZipRecruiter
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.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993