Research Engineer On Ai Hw/sw

hace 2 meses

Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**:

- 721_24_CS_CAOS_RE3**Position**:

- Research Engineer on AI HW/SW (RE3)**Closing Date**:

- Thursday, 31 October, 2024**Reference**: 721_24_CS_CAOS_RE3**Job title**: Research Engineer on AI HW/SW (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 1000 staff from 60 countries.

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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.**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, to cover a wide scope of activities to enable the analysis and deployment of cutting-edge AI solutions on specialized middleware/runtimes, on top of both mainstream high-computing platforms and industrially representative embedded devices.

**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 performance, timing, explainability, and FuSA requirements, among others
- Identify FuSA, explainability, and timing-related metrics on top of middleware frameworks and develop software-level profiling and diagnostic approaches based on those metrics
- Deploy the devised solutions on mainstream high performance computing platforms and industrially representative setups
- Coordinate the efforts in the group to collect and support requirements on AI libraries and implementations emerging from different research projects
- Lead a small team of junior engineers and students contributing to these tasks.

**Requirements**:

- Education
- Master’s Degree on Computer Science, Computer Architectures, Mathematics, or similar
- Essential Knowledge and Professional Experience
- Strong background and experience in AI libraries and frameworks
- Basic knowledge on AI fundamentals
- Practical experience in generic programming (C, C++, etc.)
- Familiarity with scripting languages (e.g. Python)
- Additional Knowledge and Professional Experience
- Familiarity with Linux-based environment is also appreciated
- Debugging of AI based systems on heterogeneous platforms
- Previous experience on profiling and 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 (37.5h/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 durat

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