Embedded Systems Research Engineer
hace 4 semanas
The role involves conducting research on programming frameworks for essential embedded systems responsible for managing key components in vehicles, aircraft, and spacecraft. Our initiatives are primarily executed through collaborative projects with various processor manufacturers and multiple European-funded endeavors. For insights into our recent publications, please refer to our website.
The primary goal of this position is to develop hardware acceleration features for embedded systems utilized in critical applications, particularly within the aerospace sector, along with their corresponding software support in compilers. The responsibilities include programming in a hardware description language, integrating with existing space processor codebases, and modifying an established compiler framework.
This research will be conducted as part of the ongoing GPU4S (GPU for Space) initiative, which is funded by the European Space Agency (ESA) and coordinated by the Barcelona Supercomputing Center (BSC) in collaboration with Airbus Defense and Space (ADS).
Candidates are expected to be enrolled or have previously enrolled in the Master in Innovation and Research in Informatics (MIRI) at the Universitat Politècnica de Catalunya (UPC). The technical contributions made during this placement will support the candidate's Master Thesis. Successful completion of the Master's program may lead to opportunities for pursuing a PhD or transitioning into an engineering role.
Key Responsibilities
- Develop hardware features within a simulation environment
- Validate hardware features on actual hardware platforms
- Adapt algorithms to leverage the newly developed features
- Assess the overall performance of the implemented hardware and software
- Contribute to academic publications arising from this research
- Education
- Master's Degree in Computer Science, Computer Engineering, or a related discipline
- Experience in embedded systems hardware and software
- Required Skills and Experience
- Knowledge of Computer Architecture
- Proficiency in C, C++, and Python
- Familiarity with Machine Learning concepts
- Experience with at least one of OpenMP, CUDA, OpenCL, or OpenACC
- Background in embedded platforms
- Competence in a Linux environment
- Proficient in LaTeX
- Additional Skills and Experience
- Basic understanding of FPGAs
- Familiarity with processors used in real-time applications, such as Arm A or R families
- Previous research experience and scientific publications are advantageous
- Competencies
- Strong problem-solving skills, proactive approach, and results-oriented mindset
- Ability to work independently as well as collaboratively in a team
- Excellent communication skills, including proficiency in written and spoken English
Employment Conditions
- The position is based at BSC within the Computer Sciences Department
- We provide a full-time contract, a supportive work environment, state-of-the-art facilities, flexible working hours, comprehensive training programs, meal vouchers, private health insurance, and assistance with relocation
- Contract duration is open-ended, linked to the technical and scientific activities of the project
- Vacation entitlement includes 23 paid days plus additional holidays as per collective agreements
- Competitive salary based on qualifications and experience, adjusted for the cost of living in the region
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