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Translation Engineer Jobs in Michigan (NOW HIRING)

CAE/FEA Engineer

Detroit, MI ยท Remote

$170K - $235K/yr

Lead the translation of complex regulatory requirements (FDA, ISO, etc.) into technical constraints ... Utilize engineering fundamentals to troubleshoot system-level failures in the field, bridging the ...

New

Network Security Engineer

Southfield, MI

$95K - $131K/yr

Company Description Network Engineer with 3 to 5 years of experience that has strong firewall, IP ... SSH, FTP, ICMP, TCPIP (IPv4 & IPv6), Network Address Translation (NAT), SNMP, IPSec, GRE, QoS, and ...

Data Engineer 3

Dearborn, MI ยท On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor ... Strong technical/business requirements translation skills * Agile / Jira experience Experience ...

Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases). Advanced capability in ...

The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases). Advanced capability in ...

The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases). Advanced capability in ...

$95K - $130K/yr

... translation of prototypes into scalable production solutions and contribute to architecture and technology decisions for APIs, batch processing, and real-time systems.- Implement MLOps and DevOps ...

... translation between client needs and engineering execution Proficient in MS Project, MS Excel, and the full MS Office Suite Ability to travel domestically 10-20% of the time.

Manufacturing Engineer

Newaygo, MI ยท On-site

$62K - $80K/yr

Functioning as a highly competent engineer, work requires independent evaluation, selection, and adaptation of standard company procedures and translation of technical guidance from higher level ...

Manufacturing Engineer

Newaygo, MI ยท On-site

$62K - $80K/yr

Functioning as a highly competent engineer, work requires independent evaluation, selection, and adaptation of standard company procedures and translation of technical guidance from higher level ...

.NET Developer

Lansing, MI ยท On-site

$49 - $64.75/hr

Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

RF Sensing Systems Engineer RF Sensing Systems Engineer KBR's National Security Solutions team ... Support translation of user needs and customer problem statements into requirements to be addressed ...

Cloud Prognostics Engineer

Dearborn, MI ยท On-site

$51.50 - $69/hr

The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases). * Advanced capability in ...

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Showing results 1-20

Translation Engineer information

See Michigan salary details

$34K

$88.7K

$119.8K

How much do translation engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for translation engineer in Michigan is $88,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $101,500.00 per year, depending on experience, location, and employer.

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 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 cities in Michigan are hiring for Translation Engineer jobs? Cities in Michigan with the most Translation Engineer job openings:

CAE/FEA Engineer

Career Renew

Detroit, MI โ€ข Remote

$170K - $235K/yr

Full-time

Posted 3 days ago

New


Job description

Career Renew is recruiting for one of its clients a CAE/FEA Engineer - this is a fully remote role for US-based candidates. Salary range: 170-235K USD base plus benefits plus equity. Not open to visa sponsorships/transfers.

We build Collaborative Intelligence™ — an always-human-in-the-loop AI system that augments humanity instead of replacing it. They work with the biggest OEMs and innovative automotive partners on cutting-edge tech like electric vehicles and autonomous systems.


You'll join a well-funded startup ($120M raised from top investors like Crosspoint Capital) with only 53 people, giving you massive ownership and impact. Work alongside brilliant minds including an SVP of Engineering who managed 6,000 engineers at Lockheed Martin for 27 years.


This Forward Deployed Engineer role puts you at the forefront of deploying AI in automotive manufacturing. You'll own client relationships and build custom solutions that bridge cutting-edge ML with mission-critical physical systems.

As a Forward Deployment Engineer specializing in Automotive deployment, you will act as the primary bridge between SynthBee’s ML technologies and the rigorous engineering standards of our tier-1 partners. You will advise leadership on the deployment of ML-powered systems within highly regulated environments, ensuring that innovation never compromises safety or compliance.

What you'll do

  • Technical Deployment & Advisory: Provide deep-domain expertise in mechanical and systems engineering to ensure ML models are physically grounded and technically viable.

  • Regulatory Alignment: Lead the translation of complex regulatory requirements (FDA, ISO, etc.) into technical constraints for ML development.

  • System Architecture: Oversee the lifecycle of complex systems, from requirements capture to V-Model verification and validation (V&V).

  • Cross-Functional Liaison: Act as the "translator" between software/ML teams and client-side software/hardware engineering departments (Mechanical, Thermal, Safety).

  • Root Cause Analysis: Utilize engineering fundamentals to troubleshoot system-level failures in the field, bridging the gap between digital predictions and physical outcomes.

Requirements:
5 - 15 years of experience as a systems engineer in the automotive industry (Mandatory)
Hands-on systems engineering ownership across the full lifecycle (requirements, ICDs, V&V) (Mandatory)
Has done external client-facing technical work (presented findings, managed relationships, or deployed at client sites) (Mandatory)
Previous experience as a Technical Product Manager at some point in their career (Nice-to-have)
Previous startup experience (Nice-to-have)
Bachelor's in Mechanical or similar engineering field (Mandatory)
Master's or PhD in a relevant engineering field (Nice-to-have)
Hands-on experience with FEA tools: Ansa (hard req) or Ansys, Abaqus (preferred)
Proficiency with CAD tools, especially CATIA V5/V6 or Hyperworks (Mandatory)
Familiarity with automotive standards (e.g., ISO 26262, ASPICE) (Nice-to-have)
Exposure to AI/ML deployment or configuration (API integration, cloud infrastructure, or agentic systems) — does not need to have trained models (Nice-to-have)
Willing to travel 35%-50% of the time for client deployments (Mandatory)