Job
- Level
- Junior
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 3.963 € Brutto/Monat
- Ort
- Graz
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du Hardwarebeschleuniger für KI-Systeme auf RISC-V-Basis, analysierst deren Leistung und implementierst Prototypen auf FPGAs, während du eng mit Kollegen und Partnern zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- We are looking for a highly motivated Junior Scientist AI to join SAL’s Embedded Systems Research Team.
- In this role, you will contribute to applied research projects with industrial and scientific partners, focusing on the development of resilient, safe, and trustworthy AI systems.
- You will work in close collaboration with colleagues across different units at SAL and help translate research concepts into real-world applications.
- Research and develop novel hardware accelerators (for e.g. GNN) tailored for the RISC-V architecture.
- Explore hardware/software co-design methods to optimize accelerator performance, area and efficiency.
- Implement and evaluate accelerator prototypes using FPGAs.
- Analyze performance, scalability, and bottlenecks.
- Collaborate closely with SAL researchers and university supervisors.
- Present research results internally and at scientific conferences.
- Publish research papers and contribute to technical reports, reviews, and summaries.
Unsere Erwartungen an dich
Ausbildung
- Master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics, or a related field.
Qualifikationen
- A good understanding of digital logic design, finite state machines (FSMs) and pipelined architectures is required.
- Foundational knowledge of computer architecture and digital design.
- Proficient in SystemVerilog, Verilog and/or VHDL.
- Fluency in English is essential; knowledge of German would be advantageous.
- Good communication skills, including basic presentation and academic writing skills.
Erfahrung
- Experience of working with RISC-V hardware and toolchains, as well as with FPGAs, would be an advantage.
- Experience of working with embedded systems (microcontrollers and Raspberry Pis) would be an asset.
- Hands-on experience with machine learning (ML) frameworks such as PyTorch or TensorFlow is advantageous.
- Experience with interfaces and protocols such as AMBA/AXI, SPI and UART would also be an advantage.
- Experience of working with C/C++, Python or similar programming languages.
Benefits
Essen & Trinken
Mehr Netto
Work-Life-Integration
Gesundheit, Fitness & Fun
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Silicon Austria Labs GmbH
Graz, Altenberg Bei Linz
Mit SAL entsteht ein europäisches Spitzenforschungszentrum für elektrische Systeme. Im Netzwerk von Wissenschaft und Wirtschaft betreiben wir Forschung auf höchstem globalem Niveau und schaffen so die Basis für neuartige Produkte und Prozesse.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Junior Scientist Edge-AI Accelerators
- Gehalt
- ab 3.963 € Brutto/Monat
- Ort
- Graz
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
