Engineering Manager Speech, Language Technologies (RE3) - AI4S

Barcelona Supercomputing Center; Barcelona; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Restaurant tickets

Private health insurance

Relocation support

Flexible working hours

Job summary

Barcelona Supercomputing Center in Barcelona, Spain, invites applications for an Engineering Manager in Speech, Language Technologies focused on AI4S. You will lead a multi-disciplinary ML team in a cutting-edge HPC environment, drive model and software prototyping, and coordinate with collaborators across Europe.

The role requires strong leadership, deep learning expertise in speech, and a track record in project management.

Qualifications

• Demonstrated leadership of engineering teams for at least 2 years.
• At least 4 years of experience with deep learning in speech.
• Fluency in English; Spanish and other EU languages are advantageous.
• Experience in project management and product development lifecycle.

Responsibilities

• Lead a team of ML engineers, data engineers and computational linguists.
• Take ownership of model and software prototype deliveries.
• Support the Speech team leader in technical aspects.
• Prioritize team deliveries and write requirement documents.
• Represent the team in coordination meetings and mentor juniors.
• Apply for research projects and write research papers.

Skills

Team leadership

Deep learning for speech

Project management

Speech processing

English fluency

Education

Master’s degree in Computer Science or related field

PhD (advantage)

Tools

Deep learning frameworks

Job description

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.

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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 is essential. Proficiency in Spanish and other European languages would be advantageous.
  • Native or good level of spoken and written Catalan will be a plus
• Competences
  • Ability to work in a team to complete tasks on schedule.
  • Ability to prioritize work, personally and for others
  • Ability to work under set deadlines
  • Ability to work in a multi-cultural environment.

Conditions

• The position will be located at BSC within the Directors Department
• We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: As soon as possible

Development of the recruitment process

The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:

• Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
• Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.

In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.

The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.

At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact [e-mail].

For more information please follow this link.

Deadline

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

OTM-R principles for selection processes

BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.