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Translation Engineer Jobs in Delaware (NOW HIRING)

Diaconia

Structures Engineer, Senior

Dover, DE · On-site

$100K - $110K/yr

Requirements Translation: Assist in translating user requirements into weapon system requirements ... Conduct system safety engineering evaluations, perform mishap risk assessments, and evaluate ...

Proctor & Gamble

Engineering Manager

Dover, DE · On-site

... engineer eager to apply your technical leadership to groundbreaking challenges? Do you possess a ... Lead the translation of R&D innovations into scalable manufacturing processes. Drive packaging ...

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All JobsTranslation Engineer JobsTranslation Engineer Jobs in Delaware

Translation Engineer information

See Delaware salary details

$39K

$101.8K

$137.6K

How much do translation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for translation engineer in Delaware is $101,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $116,600.00 per year, depending on experience, location, and employer.

What is a translation engineer?

Translation Engineers are professionals who specialize in managing the technical aspects of translating digital content. They prepare files for translation, ensure compatibility with translation memory tools, and troubleshoot issues related to localization workflows. Their role often involves working closely with translators, project managers, and software developers to ensure that translated materials are delivered accurately and efficiently. Translation Engineers also help automate processes and maintain quality standards in multilingual projects.

What are the key skills and qualifications needed to thrive as a translation engineer, and why are they important?

To thrive as a Translation Engineer, you need a strong background in computer science, programming (such as Python or Java), and familiarity with localization workflows, typically backed by a relevant degree or experience. Expertise in translation management systems (TMS), CAT tools, and version control systems, as well as knowledge of internationalization standards, is highly valued. Strong problem-solving, communication, and cross-cultural collaboration skills help you manage complex projects and coordinate with linguists and developers. These competencies ensure efficient, accurate, and scalable localization processes for global products.

How does a translation engineer typically collaborate with localization teams and software developers?

Translation Engineers play a crucial role in bridging the gap between technical teams and localization specialists. They often work closely with software developers to ensure that products are internationalization-ready, extracting translatable strings and integrating localization tools into the development workflow. Collaboration with localization teams involves providing technical support for translation platforms, resolving file format issues, and maintaining translation memory systems. This cross-functional teamwork ensures that global releases are smooth and that language quality is maintained across all platforms.

What is the difference between Translation Engineer vs Localization Specialist?

AspectTranslation EngineerLocalization Specialist
Required CredentialsBachelor's in Computer Science, Linguistics, or related field; knowledge of translation toolsBachelor's in Translation, Linguistics, or related; experience with cultural adaptation
Work EnvironmentTechnical teams, software development, translation tool managementMultilingual teams, cultural adaptation, content localization
Employer & Industry UsageTech companies, translation agencies, software firmsGlobal corporations, media, publishing, localization agencies

While both roles involve language and translation, a Translation Engineer focuses on developing and maintaining translation tools and systems, whereas a Localization Specialist handles adapting content for specific markets and cultures. They often collaborate but serve different functions within the localization process.

What are popular job titles related to Translation Engineer jobs in Delaware?

For Translation Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Translation Engineer jobs in Delaware look for?

The top searched job categories for Translation Engineer jobs in Delaware are:

What cities in Delaware are hiring for Translation Engineer jobs?

Cities in Delaware with the most Translation Engineer job openings:

Translation Engineer jobs near you
Infographic showing various Translation Engineer job openings in Delaware as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $101,840 per year, or $49 per hour.

Research Software Engineer, UD Institute for Data Science

University of Delaware

Newark, DE • On-site

$200K/yr

Full-time

Posted 4 days ago

University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

593rd of 630 rated colleges and universities

Job description

Research Software Engineer, UD Institute for Data Science

Apply now Job no: 503750
College / VP Area: Research Office
Work type: Staff
Location: Newark, DE
Categories: Research & Laboratory, Full Time

Pay Grade: 31S
 
Context of Job:
 
The University of Delaware (UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute (https://haicinstitute.org/) is a 5-year (2026-2031), $21.5 million, multi-institutional research initiative supported by the National Science Foundation. HAIC brings together researchers and partners to develop trustworthy AI that strengthens human expertise, shapes the future of rehabilitation and health care, and cultivates the next generation of leaders in AI. The RSE will work with HAIC researchers (from UD, University of Florida, University of Pennsylvania,Princeton University and other partner institutes) to build, validate, and maintain robust and scalable open-source software tools and cyberinfrastructure that support institute-wide research in artificial intelligence (including reinforcement learning and large vision-language models), biophysical digital twins, multimodal data processing, personalized rehabilitation, and human-AI symbiosis. The RSE will leverage high-performance computing (HPC) systems including University of Florida's HiPerGator NVIDIA SuperPod and NSF funded NAIRR resources, and work extensively with research computing professionals and NVIDIA systems engineers. Software needs include supporting reproducible research, interfacing with real-time systems and databases, and translation of AI models for a variety of deployment settings. The RSE will join a growing cohort of RSE at UD, with coordinated professional development opportunities.
This position is supported by the U.S. National Science Foundation through U.S. National Science Foundation under Cooperative Agreement No. 2433450. Continuation of this position is contingent upon performance and continued availability of these funds. Notice of non-renewal is not required.
 
Major Responsibilities
  • Participate as a member of a highly technical, research driven team, forging close working relationships with HAIC researchers (faculty, post-doctoral, students, and staff) across multidisciplinary working groups.
  • Provide support to HAIC researchers to use research computing hardware and software for workflows involving AI, data science, machine learning, and physics simulation, especially machine learning frameworks with interfaces for monitoring training, robust checkpointing, and validation suites.
     
  • Assist researchers to develop, deploy, scale, and optimize workflows that effectively and efficiently use these high-performance computing resources.
  • Utilize industry standard research software practices such as establish software version control, pipelines, institute standard testing frameworks, maintain documentation, manage public GitHub repositories to support research dissemination, applying best practices when authoring and assisting in the pursuit of modular and maintainable software codebases that accelerate scientific discovery and societal impact.
  • Help to identify appropriate hardware, software, and cyberinfrastructure platforms for different stages of research and development, including data collection, storage, and integration, along with computational-focused education and workforce development activities, assist in procurement, set-up, testing, and documentation.
  • Enable the translation of software and models toward deployment in various settings and platforms.
  • Serve as a computational liaison to research computing and IT groups at UD and partner institutions.
  • Educate, train, and advise both novice and experienced researchers regarding software engineering, shared high performance computing environments, associated software and services-adapting to individual needs and experiences-and assist in the development of workshops and other training resources.
  • Work proactively to broaden engagement between HAIC and the research cyberinfrastructure user community.
  • Perform other related duties as assigned.
  • Maintain knowledge of applicable laws and developments in state-of-the-art technology, equipment, and systems to support the institute projects.
Possible Project-Specific Technical Responsibilities:
  • Biophysical Modeling & Omniverse Integration: Assist in the development and translation of biophysical, kinematic, and musculoskeletal models (e.g., OpenSim, MuJoCo) into the NVIDIA Omniverse environment to support dynamic digital twin simulations.
  • Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image processing.
  • Integration of Large Language Models with Knowledge Retrieval: Assist in the use and integration of APIs, open-weight models, etc. combined with large graph databases.
Qualifications
  • Bachelor's degree in computer science, electrical and computer engineering, data science, statistics, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience, applied mathematics, physics, or a closely-related discipline and five years of related work experience. Master's or PhD is preferred.
  • Experience with the Linux operating system and utilizing the command line interface.
    Demonstrated ability and experience with scripting and programming languages (Bash, Python).
  • Hands-on experience with shared high-performance computing environments and workload scheduling tools (e.g., SLURM).
  • Extensive experience with version control and git, with contributions to open source repositories.
  • Ability to work effectively with researchers (both computational and non-computational) within multi-institutional teams to define, clarify, and execute requirements and goals.
  • Excellent oral and written communication skills.
  • Ability to manage multiple projects, keeping oriented to the goals and tracking details, efficiently communicating on issues and outcomes, and executing independently and in collaboration.
  • Effective organizational, interpersonal, and customer-service skills.
  • Aptitude for learning quickly and functioning in a dynamic technological environment.

Preferred Qualifications:

  • Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine learning (e.g. PyTorch Distributed).
  • Prior software engineering experience within AI, scientific computing, or robotics domains in industry, academia, government, or non-profit organizations, which involved architecting and managing codebases for large-scale technical projects
  • Prior contribution to computationally-focused research publications and/or software, or contribution to creating developer documentation, API guides, and descriptions of software use cases or other write-ups.
  • Experience with modern collaborative productivity environments (e.g., Slack, Trello, etc.).
  • Experience utilizing AI-assisted programming environments (e.g., GitHub Copilot, Codex, Cursor, or LLM-driven coding tools) to streamline software development, unit testing, and refactoring.
  • Course work or experience in one or more areas: AI, data science, machine learning, computer vision, signal processing, knowledge representation (e.g., knowledge graphs), information retrieval, statistics, biophysical modeling, robotics, or neuroengineering.
  • Experience developing within NVIDIA Omniverse, Isaac Sim, Isaac Gym, or custom CUDA kernels.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI and VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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