Senior Software Engineer, Localization Engineering

Autodesk
Vancouver, BC, CANPosted 7 April 2026

Job Description

Job Requisition ID # 26WD95474 Position Overview Autodesk is seeking a Senior Software Engineer, Localization Engineering to architect and scale the next generation of intelligent localization systems. This role combines deep expertise in AI-driven translation technologies with strong backend engineering and localization workflow knowledge. You will lead the design of advanced localization pipelines that integrate Neural Machine Translation (NMT), Large Language Models (LLMs), Quality Estimation (QE), and Automated Post-Editing (APE) into production-ready systems. At the same time, you will serve as the technical authority for localization implementation across assigned products or content areas, ensuring quality, scalability, and automation at enterprise scale. Working closely with Localization Program Management, product engineering teams, and external suppliers, you will build systems that enable efficient content extraction, translation, validation, and release while advancing Autodesk’s AI-powered translation ecosystem. This role is based in Vancouver, British Columbia, Canada. Responsibilities Architect next-generation localization workflows combining NMT and LLM-based refinement using frameworks such as LangChain. Design and implement reference-free Quality Estimation (QE) systems using COMET, BLEURT, or custom LLM evaluators to predict translation quality without reference data. Develop and fine-tune Automated Post-Editing (APE) solutions to improve translation fluency, terminology accuracy, and stylistic consistency. Fine-tune transformer-based models (Hugging Face) using Autodesk translation memory and glossary data to capture domain-specific voice and terminology. Build scalable backend services, APIs, and microservices to support automated localization workflows. Design integrations between product systems, TMS platforms, content repositories, and CI/CD pipelines. Develop automation frameworks for content extraction, file processing, translation handoff, validation, and linguistic QA. Optimize model performance, inference latency, and cloud deployment on AWS (e.g., SageMaker, Bedrock). Build Python pipelines for multilingual data curation, sentence alignment, tokenization, and fuzzy matching. Benchmark translation performance using BLEU, chrF, TER, COMET, and other NLP metrics. Improve workflow efficiency and scalability through intelligent automation and system enhancements. Serve as the technical authority for localization engineering standards and AI translation quality. Partner with Localization Program Leads to align engineering execution with localization strategy. Provide guidance to internal teams and suppliers on tooling, automation, and AI-enabled localization practices. Contribute to the evolution of shared localization tools, frameworks, and technical standards. Minimum Qualifications Bachelor’s degree in Computer Science, Machine Learning, Computational Linguistics, or related field (or equivalent experience) 6 years of software engineering experience, with significant backend or AI/ML focus Strong proficiency in Python and experience with transformer-based models (Hugging Face or similar) Experience training, fine-tuning, and deploying models using AWS (e.g., SageMaker, Bedrock) Experience building APIs, microservices, and system integrations Strong understanding of end-to-end localization workflows (extraction, translation, review, QA, release) Experience with translation management systems (e.g., Phrase, Passolo, or similar) Experience with databases (SQL / NoSQL) and cloud-native architectures Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at ... (truncated, view full listing at source)
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