NVIDIA wants an outstanding Software Linux Engineer to strengthen our installation, packaging, and ... Develop and provide ongoing support for meta-packages, software repositories, release channels ...
NVIDIA wants an outstanding Software Linux Engineer to strengthen our installation, packaging, and ... Develop and provide ongoing support for meta-packages, software repositories, release channels ...
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Meta Software Engineer information
See St Louis, MO salary details
$61.7K - $74.3K
2% of jobs
$74.3K - $86.8K
4% of jobs
$86.8K - $99.4K
6% of jobs
$99.4K - $111.9K
8% of jobs
$118.7K is the 25th percentile. Wages below this are outliers.
$111.9K - $124.5K
7% of jobs
$124.5K - $137K
18% of jobs
The median wage is $140K / yr.
$137K - $149.6K
16% of jobs
$149.6K - $162.1K
2% of jobs
$167.3K is the 75th percentile. Wages above this are outliers.
$162.1K - $174.7K
26% of jobs
$174.7K - $187.2K
1% of jobs
$187.2K - $199.8K
8% of jobs
$61.7K
$143.4K
$199.8K
How much do meta software engineer jobs pay per year?
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What skills and qualifications are needed to be a Meta software engineer?
To thrive as a Meta Software Engineer, you need strong programming skills in languages such as Python, C++, or Java, a deep understanding of computer science fundamentals, and typically a bachelor's degree in computer science or a related field. Experience with large-scale distributed systems, cloud computing platforms, and familiarity with development tools like Git and debugging frameworks are essential; certifications in cloud services or specialized technologies can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top performers. These capabilities enable engineers to build high-quality, scalable products and seamlessly integrate within fast-paced, innovative technical teams.
What challenges do Meta software engineers face and how are they supported?
Meta Software Engineers often work on complex, large-scale systems that serve billions of users, presenting challenges such as optimizing performance, ensuring data privacy, and maintaining reliable uptime. The fast-paced environment requires engineers to stay current with rapidly evolving technologies and to frequently solve unique, open-ended problems. Meta provides robust support through collaborative teams, ongoing training, mentorship programs, and access to extensive internal knowledge resources. This environment helps engineers quickly ramp up, continuously improve their skills, and overcome technical and organizational hurdles efficiently.
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A Meta Software Engineer is responsible for designing, developing, and optimizing software products and infrastructure that support Meta's applications and services. They work on large-scale systems, collaborating with cross-functional teams to build innovative solutions in areas such as AI, virtual reality, and social networking. The role requires strong coding skills, problem-solving abilities, and expertise in languages like Python, Java, or C++.
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Full-time
Posted 26 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