Research Engineer (Compiler Development and AI)

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AI Summary

Join the High-Performance Artificial Intelligence team at BSC to develop compiler technology for AI computing. Analyze deep learning networks, design optimization algorithms, and implement advanced optimization passes. Collaborate with hardware architecture, ML research, and domain science teams.

Key Highlights
Compiler development for AI computing
Deep learning network analysis
Advanced optimization passes implementation
Key Responsibilities
Analyzing deep learning networks and developing novel compiler optimization algorithms
Designing and implementing advanced optimization passes using tools such as LLVM, MLIR, and Triton
Creating new programming abstractions that simplify how AI workloads are expressed and executed
Technical Skills Required
Compiler design IR representation Optimization passes Code generation pipelines LLVM MLIR C++ PyTorch TensorFlow JAX
Benefits & Perks
Competitive salary
Full-time contract
Good working environment
Flexible working hours
Extensive training plan
Restaurant tickets
Private health insurance
Support to relocation procedures

Job Description


Job Reference

194_26_CS_AI4HPC_RE2

Position

Research Engineer (RE2)

Closing Date

Sunday, 31 May, 2026

Reference: 194_26_CS_AI4HPC_RE2

Job title: Research Engineer (RE2)

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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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

We are seeking candidates with strong expertise in compiler development and code optimization to join the High-Performance Artifical Intelligence team at BSC.

Compiler frameworks are at the heart of modern AI inference — from data centers to edge devices, automotive, and robotics.

As AI models grow in complexity, the compilers that execute them must deliver leading performance, fast build times, and reduced memory footprints, across both Ahead-of-Time and Just-in-Time compilation targets. This role sits at that frontier.

You'll help shape the future of AI computing through compiler technology that is fast, flexible, and built for real-world models.

Key Duties

  • Analyzing deep learning networks and developing novel compiler optimization algorithms.
  • Designing and implementing advanced optimization passes using tools such as LLVM, MLIR, and Triton.
  • Creating new programming abstractions that simplify how AI workloads are expressed and executed.
  • Collaborating across hardware architecture, ML research, and domain science teams.

Requirements

  • Education
    • Computer Science Degree
  • Essential Knowledge and Professional Experience
    • Strong foundations in compiler design: IR representation, optimization passes, code generation pipelines
    • Understanding of deep learning frameworks
  • Additional Knowledge and Professional Experience
    • Strong foundations in compiler design: IR representation, optimization passes, code generation pipelines
    • Hands-on experience with LLVM and/or MLIR
    • Proficiency in C++
    • Understanding of deep learning frameworks (PyTorch, TensorFlow, JAX)
    • Knowledge of hardware execution models: memory hierarchies, parallelism, vectorization
  • Competences
    • Have good communication and interpersonal skills
    • ⁠Being able to work with a t team to complete tasks on schedule.
    • Show a problem-solving, can-do, pro-active and result-oriented attitude.
    • Be keen to deliver good quality code and follow good practices in the industry.
    • ⁠Exception ethical behavior.
    • Be curious and willing to learn about compiler technologies for AI and HPC.
Conditions

  • The position will be located at BSC within the Computer Sciences 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: 01.09.2026

Applications procedure and process

All applications must be submitted via the BSC website and contain:

  • A full CV in English including contact details
  • A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.

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 recruitment@bsc.es.

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.

For more information follow this link

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