RESEARCH ENGINEER ON AI HW/SW FOR EDGE AI SYSTEMS - AI4S (RE3)

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.
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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 deployment of Artificial Intelligence (AI) based solutions to deliver advanced software functionalities is consolidating as a key competitive factor in several industrial domains.
AI solutions are the cornerstone for enabling autonomous operation and decision making along the computing continuum from large servers to small edge devices.
Increasingly time-critical functionalities are responsible for processing massive amounts of data coming from multiple sensors in a predictable and timely manner.
The complexity of AI-based software functionalities encourages the use of highly modular middleware frameworks such as ROS2, CyberRT, or Autoware, running on top of general-purpose and/or specialized (real-time) operating systems.
Performance and (timing) analyzability are two fundamental (and sometimes conflicting) requirements for this type of system, where extensive guarantees must be provided on the capability to deliver correct results in a timely manner, as dictated by domain-specific Functional Safety (FuSa) standards.
The objective of this position is to work in a small team on AI solutions for safety-critical systems on the edge, to cover a wide scope of activities to enable the analysis and deployment of Edge-AI solutions, on specialized middleware/runtimes, on top of industrially representative embedded devices.
This position is meant to devise software-level level solutions for mastering the impact of the (distributed) middleware layer in the software stack on performance, timing anlaysability, and FUSA compliance.
The candidate will develop and refine functional and timing models for Edge-AI solutions on reference (distributed) middleware frameworks, on top of industrially representative edge devices.
The candidate will be intensively collaborating in multidisciplinary projects, involving experts in AI, real-time computing, hardware analysis and timing analysis, to adapt, optimize, and instantiate those models to meet FUSA and timing requirements on concrete AI use-case scenarios.
The candidate will elaborate and deploy efficient software-level solutions for monitoring and diagnostic of Edge-AI systems to capture FUSA and timing metrics, to promptly intercept and react to FUSA and timing failures within reference middleware setups.
The candidate is expected to combine applied investigation and hands-on implementation covering both software and hardware level aspects, including.
the functional and non-functional analysis, porting, and optimization of (possibly tailored) AI models on representative middleware frameworks, to meet performance and FUSA requirements on top of specialized and custom accelerators.
Key Duties   Develop functional and timing models for Edge-AI systems on reference (distributed) middleware frameworks, on top of industrially representative edge devices Identify and explore opportunities for optimization of AI-models, platform and middleware configurations to meet FUSA performance requirements Identify FUSA and timing-related metrics on top of middleware frameworks and develop software-level diagnostic and monitoring approaches based on those metrics Deploy the devised solutions on industrially representative Edge-AI setups Lead a small team of junior engineers and students contributing to these tasks.
Requirements   Education Master’s Degree on Computer Science, Computer Architecture, Mathematics, or similar A PhD in the area (or being in the last year of the PhD) Essential Knowledge and Professional Experience Basic knowledge on AI fundamentals Practical experience in generic programming (C, C++, etc.) Familiarity with scripting languages (e.
.
Python) Experience in collaborative projects Additional Knowledge and Professional Experience Minimal experience with Linux-based environment is also appreciated Previous experience on the analysis of timing behavior and other non-functional aspects of execution is appreciated Experience on hands on activity with hardware platform is a plus Competences Problem-solving, proactive, collaborative, and result-oriented work attitude Good communication skills including proficiency in English (both written and spoken)   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.
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