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Python Software Engineer Ubuntu Server Certification Jobs in Beaverton, OR

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expert-level Python programming and software architecture skills * Strong system design skills with a focus on service boundaries, API contracts, and fault tolerance * Fluency operating in Linux ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Expert-level Python programming and software architecture skills * Strong system design skills with a focus on service boundaries, API contracts, and fault tolerance * Fluency operating in Linux ...

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All JobsPython Software Engineer Ubuntu Server Certification JobsPython Software Engineer Ubuntu Server Certification Jobs in Beaverton, OR

Python Software Engineer Ubuntu Server Certification information

See Beaverton, OR salary details

$23.9K

$145.6K

$210.7K

How much do python software engineer ubuntu server certification jobs pay per year?

As of Aug 19, 2026, the average yearly pay for python software engineer ubuntu server certification in Beaverton, OR is $145,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $171,200.00 per year, depending on experience, location, and employer.

What is a python software engineer ubuntu server certification?

Python Software Engineer Ubuntu Server Certification jobs involve developing, testing, and maintaining software applications written in Python, with a focus on ensuring compatibility and performance on Ubuntu Server environments. These professionals are responsible for writing efficient code, automating processes, and sometimes contributing to open-source projects related to Ubuntu. The 'certification' aspect refers to validating that applications or solutions meet Ubuntu Server's standards and requirements. This role often requires expertise in both Python programming and Linux system administration, as well as knowledge of Ubuntu's certification processes.

What are the key skills and qualifications needed to thrive as a python software engineer with Ubuntu Server certification?

To thrive as a Python Software Engineer with Ubuntu Server Certification, you need strong programming skills in Python, experience with server-side development, and a solid understanding of Linux system administration, typically demonstrated by obtaining Ubuntu Server Certification. Familiarity with tools like Git, Docker, CI/CD pipelines, and frameworks such as Django or Flask is common, along with proficiency in Ubuntu server environments. Problem-solving, effective communication, and teamwork are essential soft skills that help engineers collaborate and troubleshoot efficiently. These combined skills ensure robust, secure, and scalable software solutions in dynamic development and server management environments.

What are some unique challenges faced by python software engineers working on Ubuntu Server certification projects?

Python Software Engineers involved in Ubuntu Server Certification often encounter challenges related to ensuring compatibility across a diverse range of hardware and software environments. They must rigorously test scripts and automation tools to work seamlessly with various Ubuntu Server releases and hardware vendors’ platforms. Additionally, engineers need to stay updated on both Ubuntu’s evolving certification requirements and best practices for reliable, scalable automation. Collaboration with QA teams, hardware partners, and upstream developers is essential to quickly resolve issues and maintain high certification standards.

What is the difference between Python Software Engineer Ubuntu Server Certification vs Python Developer?

AspectPython Software Engineer Ubuntu Server CertificationPython Developer
CertificationsOften requires Ubuntu Server Certification, Linux certifications, and Python expertiseMay have Python certifications but not necessarily Ubuntu-specific
Work EnvironmentPrimarily Linux/Ubuntu server environments, cloud platforms, and backend systemsVaried environments including web, desktop, and data analysis
Industry UsageTech companies, cloud providers, and organizations using Linux-based infrastructureStartups, software firms, and diverse industries

The main difference is that Python Software Engineer Ubuntu Server Certification focuses on Linux-based backend systems with specific Ubuntu expertise, while Python Developers may work across various environments without Linux-specific certifications. The former emphasizes server management and deployment, whereas the latter often involves application development across multiple platforms.

What are popular job titles related to Python Software Engineer Ubuntu Server Certification jobs in Beaverton, OR?

For Python Software Engineer Ubuntu Server Certification jobs in Beaverton, OR, the most frequently searched job titles are:

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The top searched job categories for Python Software Engineer Ubuntu Server Certification jobs in Beaverton, OR are:

What cities near Beaverton, OR are hiring for Python Software Engineer Ubuntu Server Certification jobs?

Cities near Beaverton, OR with the most Python Software Engineer Ubuntu Server Certification job openings:

Python Software Engineer Ubuntu Server Certification jobs near you
Infographic showing various Python Software Engineer Ubuntu Server Certification job openings in Beaverton, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $145,634 per year, or $70 per hour.

Software Engineer, GPU Design Automation

Nvidia

Hillsboro, OR • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA's GPU Architecture Group is looking for a software engineer to further modernize and scale GPU development. As GPU designs become more complex, our hardware models, testbenches, build scripts, and code generation flows need to keep adapting to this complexity. The development workflow will be parameterized and data-driven, so it adapts without manual rework. You'll apply modern software engineering techniques, including AI-assisted development, to a hardware domain where these practices can have outsized impact, and help spread those ways of working across a broader team. This role offers a unique opportunity to influence how one of the world's most advanced chips are developed!

What You'll Be Doing:

  • Design and build automation to scale GPU development processes across hardware models, testbenches, and build systems.

  • Develop and extend code generation flows that automate configuration and adapt to new designs without manual rework.

  • Refactor and improve large, complex codebases to be more parameterized, data-driven, and maintainable.

  • Collaborate with ASIC design and architecture teams to align on automation approaches.

  • Adapt modern software engineering workflows to GPU architecture development and find opportunities to set a higher standard.

  • Establish and maintain high standards for software quality and consistency across shared infrastructure.

What We Need to See:

  • B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

  • Strong software engineering fundamentals and programming skills(Python, C++, or similar)

  • Experience with build systems, code generation, or design automation flows

  • 3 years or more experience in relevant roles

  • Motivation to engage with and refine sizable, complicated codebases - converting legacy systems into maintainable, well-structured infrastructure

  • Familiarity with hardware development workflows (modeling, verification, or similar)

  • Up to date with modern software engineering methods including CI and AI-powered tooling

  • Effective collaboration skills for working across team and functional boundaries (architecture, ASIC, software)

Ways to Stand Out from the crowd:

  • Experience building or maintaining hardware build automation infrastructure at scale

  • Background in parameterized code generation or template driven build systems

  • Track record of improving developer efficiency through tooling and automation

  • Familiarity with GPU or ASIC development processes

  • Experience with configuration management for complex hardware IP

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.

Applications for this job will be accepted at least until July 26, 2026.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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