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Localization Engineer Jobs in Portland, OR (NOW HIRING)

Esri

Sr. Product Designer - ArcGIS Dashboards

Portland, OR · On-site

$112K - $176K/yr

... localization (L10N) or internationalization (I18N) * Expertise in accessibility (WCAG 2.0/Section 508 Compliance) and a strong track record of collaborating with developers to address and resolve ...

Esri

Sr. UX Researcher - ArcGIS Apps

Portland, OR · On-site

In this role, you'll collaborate with designers, product managers, software engineers, and domain ... Familiarity with accessibility standards and software localization practices * Experience applying ...

Esri

Sr. UX Researcher - ArcGIS Apps

Portland, OR · On-site

$112K - $176K/yr

In this role, you'll collaborate with designers, product managers, software engineers, and domain ... Familiarity with accessibility standards and software localization practices * Experience applying ...

EOS

Fiber Optical Repair Technician

Portland, OR

Work closely with field operations, network engineers, and project managers to coordinate repair ... localization. * Deep knowledge of fiber types, connector standards (LC, SC, MPO, MTP), and splice ...

EOS

Fiber Optical Repair Technician

Portland, OR

Work closely with field operations, network engineers, and project managers to coordinate repair ... localization. * Deep knowledge of fiber types, connector standards (LC, SC, MPO, MTP), and splice ...

EOS

Fiber Optical Repair Technician

Portland, OR · On-site

Work closely with field operations, network engineers, and project managers to coordinate repair ... localization. * Deep knowledge of fiber types, connector standards (LC, SC, MPO, MTP), and splice ...

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Showing results 1-20

All JobsLocalization Engineer JobsLocalization Engineer Jobs in Portland, OR

Localization Engineer information

See Portland, OR salary details

$63.1K

$118.4K

$215.3K

How much do localization engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for localization engineer in Portland, OR is $118,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Localization Engineer position, and why are they important?

To thrive as a Localization Engineer, you need a strong background in computer science, programming (such as Python, Java, or C++), and familiarity with globalization and localization processes. Experience with translation management systems (TMS), CAT tools, version control systems, and possibly certifications like SDL Trados or Agile methodologies is highly valued. Strong problem-solving, attention to detail, and cross-cultural communication skills help you excel when collaborating with global teams. These qualifications are critical for ensuring software and content are accurately adapted for diverse international markets while maintaining functionality and quality.

What are the typical daily responsibilities of a Localization Engineer?

As a Localization Engineer, your daily tasks often include analyzing and preparing files for translation, maintaining localization workflows, troubleshooting technical issues related to software internationalization, and collaborating with translators, developers, and project managers. You may also be responsible for automating processes to improve efficiency and ensuring that localized products meet quality standards in various languages. Regular communication with cross-functional teams is crucial to resolve technical challenges and align on project goals. This role is both technical and collaborative, offering variety and requiring continual learning as new tools and platforms emerge.

What does a Localization Engineer do?

A Localization Engineer is responsible for preparing, managing, and optimizing content for translation and localization. They work with tools like CAT (Computer-Assisted Translation) software, scripts, and automation to ensure content is accurately adapted for different languages and regions. Their role includes file preparation, bug fixing, integration of localized assets, and troubleshooting technical issues in the localization process. They collaborate with linguists, project managers, and developers to streamline workflows and ensure a smooth translation process.

What are popular job titles related to Localization Engineer jobs in Portland, OR? For Localization Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Localization Engineer jobs in Portland, OR look for? The top searched job categories for Localization Engineer jobs in Portland, OR are:
Localization Engineer jobs near you
Infographic showing various Localization Engineer job openings in Portland, OR as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,386 per year, or $56.9 per hour.
Senior Software Engineer - Deep Learning Compiler CI Infrastructure

Senior Software Engineer - Deep Learning Compiler CI Infrastructure

Nvidia

Hillsboro, OR

$133K - $175K/yr

Full-time

Posted 10 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

In this role you will work closely with deep learning compiler engineers to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks. Responsibilities include designing and operating scalable CI systems that orchestrate ML workloads across diverse GPU and accelerator environments, deliver reliable correctness and performance signals, and serve as a primary technical point of contact for CI health, new project onboarding, and new architecture bring-up.

What you'll be doing:

  • Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA's deep learning compiler stacks across GPU and accelerator environments

  • Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on

  • Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency

  • Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams

What we need to see:

  • BS, MS, or PhD (or equivalent experience) in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field

  • 5+ years of experience designing, scaling, and operating CI/CD, build/release, or developer infrastructure for complex software systems

  • Proven experience building CI platforms end-to-end using systems such as GitLab CI, GitHub Actions, Jenkins, or similar tools, including pipeline orchestration, compute/runner management, artifact and package systems, and observability, with strong emphasis on reliability, reproducibility, and debuggability

  • Strong software engineering skills (Python required), with the ability to design, implement, and debug distributed systems end-to-end

  • Proven track record of designing, building, and deploying AI/LLM-based systems in real engineering workflows, demonstrating skill in evaluating trade-offs, failure modes, maintainability, and measurable impact on developer productivity, signal quality, or operational efficiency

Ways to stand out from the crowd:

  • Experience crafting and shipping sophisticated AI/agent-based systems that improve continuous integration or developer efficiency. These systems include intelligent test selection, automated triage and routing, regression localization, autonomous remediation, and developer-assist workflows

  • Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms

  • Familiarity with compiler IRs and infrastructure such as LLVM/MLIR, XLA/HLO, Triton IR, cuTile, or TileIR, especially in the context of testing, debugging, and validating compiler-driven workloads

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 140,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
Nvidia logo

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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