SENIOR RTL HW FOR AI - AI4S (R2)

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 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   BSC participates in the AI4Science Fellowship program (AI4S), a talent attraction and retention program aimed at the convergence of HPC and AI, as well as the creation and consolidation of research lines within the departments of the BSC-CNS, leveraging the computational capabilities of MareNostrum 5.
This initiative is part of the talent attraction and retention programs within investment 4 of component 19 of the Recovery, Transformation, and Resilience Plan, C-ED CV1.
Our mission is to analyze and characterize the performance of large-scale Artificial Intelligence (AI) workloads to propose novel High Performance Computing (HPC) hardware accelerators.
Such accelerators will address the increasingly important challenge of irregular memory accesses and sparsity in AI workloads such as recommender models, sparse large language models and graph learning models, among others.
Our research group is looking for a highly motivated postdoc researcher interested in accelerating AI applications with novel HPC architectures.
Come join our group to address the challenge of accelerating sparse computations in fundamental AI workloads with increasingly large and complex datasets.
In this exciting role, you will have the opportunity to collaborate with a dynamic team of researchers and engineers, contributing to leading scientific research.
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.
s to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check.
https://www.
sc.
s/join-us/excellence-career-opportunities/ai4s     Key Duties   Research on acceleration of AI workloads using software and hardware optimization techniques.
Propose and implement novel accelerators in Hardware Description Languages (HDL) and integrate the accelerators in the OpenPiton framework.
Write scientific papers and actively engage in ongoing research lines and activities.
Coordinate and attend project meetings, supervise MSc/PhD students, and manage research teams and project deliverables.
Requirements   Education PhD in Computer Science, Computer Engineering, or Electrical Engineering (or a related area).
Publications in recognized computer science or bioinformatics conferences or journals.
Essential Knowledge and Professional Experience Strong background in hardware design, computer architecture, and performance analysis.
Advanced skills in HDL, such as SystemVerilog, VHDL, Chisel, Bluespec, etc.
Expertise in AI algorithms and data structures, dataflow execution and sparse computation.
Expertise in C/C++ programming, performance engineering, and low-level optimizations.
Expertise in Python, Bash and basic Linux.
Additional Knowledge and Professional Experience Experience with CUDA or FPGA programming is a plus but not essential.
Experience with R, and Matlab is a plus but not essential.
Experience with HPC environments and applications.
Competences Problem-solving, highly proactive, and result-oriented work attitude.
Strong teamwork skills and capability to work with international partners.
Strong communication skills, including proficiency in both written and verbal English.
Exceptional team management skills and supervision of MSc/PhD research.
Autonomy in researching and exploring new problems and lines of inquiry.
Conditions   The position will be located at BSC within the Computer Sciences Department We offer a full-time contract (37.
h/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 Duration.
4 years Holidays.
23 paid vacation days plus 24th and 31st of December per our collective agreement Salary.
€ Additional Expenses Grant.
Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
Starting date.
asap - the incorporation for this vacancy must be before the 16th of December   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 [at] bsc [dot] 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