Engineering Manager Speech, Language Technologies

Job Reference 439 26 AII S RE3 Position Engineering Manager Speech, Language Technologies (RE3)
- AI4S Closing Date Wednesday, 21 October, 2026 Reference: 439 26 AII S RE3 Job title: Engineering Manager Speech, Language Technologies (RE3)
- AI4S About BSC The Barcelona Supercomputing Center
- Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look At The BSC Experience BSC-CNS YouTube Channel Let's stay connected with BSC Folks We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team. Context And Mission The Speech Team at the newly established AI Institute hosted at BSC brings together extensive expertise in several areas, including automatic speech recognition, speech synthesis, and speech LLMs, with a particular emphasis on low-resource languages and settings. In addition, the AI Institute has been entrusted by both the Spanish and Catalan governments with the mission of developing foundational open-source resources and technologies for Spanish and Catalan. The Speech Team contributes to two flagship national initiatives: the AINA project, funded by the Catalan Ministry of Digital Policy and aimed at advancing AI resources for Catalan, and the ALIA project, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence and aimed at AI resources for the cooficial languages in Spain. The team also participates in a range of EU
- and other nationally funded research projects. The team is looking for an Engineering Manager in Speech with experience in Deep Learning applied to speech processing and possible audio large language model building. The successful candidate will work in a highly sophisticated HPC environment, lead a young team of motivated ML engineers, will have access to state-of-the-art systems and computational infrastructures, and will establish collaborations with experts in different areas both at the local and international levels. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility -Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan. Key Duties Lead a team of ML engineers, data engineers and computational linguists Take ownership of deliveries, both model and software development for prototypes Support the team Speech team leader in technical aspects of the projects Determine the priorities of the team concerning deliveries Writing requirement documents for prototype development in order to communicate with external providers Participate in technical meetings with collaborators, gather requirements, moderate technical discussions Ensure that the successful delivery of the results Represent the speech team in the coordination meetings of the unit, together with the Speech Team Lead Mentor junior team members for career growth Apply for research projects Write research papers Requirements Education Master's degree in Computer Science, Telecommunications, Applied linguistics or related disciplines PhD will be a plus Essential Knowledge and Professional Experience Demonstrated experience of at least 2 years in leading engineering teams in the relevant areas. Demonstrated experience of at least 4 years in deep learning frameworks and in the relevant areas. Published papers on deep learning, specifically in speech. Experience in project management Experience in managing product development from ideation to delivery Additional Knowledge and Professional Experience Experience in development of speech-to-text models Fluency in English i