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Localization Engineer Jobs in Washington (NOW HIRING)

Microsoft has an exciting opportunity for a Software Engineer in the Cloud+AI Azure Data Team ... and defect localization of tests in the feature area. Builds testable code and considers ...

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

Autonomy Engineer The Opportunity: C ond uct the research, development, integration, deployment ... localization and path planning for navigation * 2+ years of experience leading robotic sof tware ...

Autonomy Engineer

Lorton, VA · On-site +1

$99K - $225K/yr

... localization and path planning for navigation * 2+ years of experience leading robotic software ... Bachelor's degree in Software Engineering, Computer Engineering, Electrical Engineering, or ...

Showing results 41-60

Localization Engineer information

See Washington salary details

$67.4K

$126.4K

$229.9K

How much do localization engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for localization engineer in Washington is $126,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a localization engineer?

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 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 Washington? For Localization Engineer jobs in Washington, the most frequently searched job titles are:
Infographic showing various Localization Engineer job openings in Washington as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,434 per year, or $60.8 per hour.

Manager, Software - Perception (R3770)

Shield AI

Washington, DC • On-site

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Shield AI is a venture-backed deep-tech company focused on protecting service members and civilians with intelligent systems. The role involves leading technical teams to develop advanced perception algorithms for autonomous aircraft, ensuring effective operation in complex environments.
Responsibilities:
• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).
Qualifications:
Required:
• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D
• 2+ years of people leadership experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.
• Ability to obtain a SECRET clearance.
Preferred:
• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight test events or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.
Company:
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. Founded in 2015, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.