Job
- Level
- Junior
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.963 € Gross/Month
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you will develop hardware accelerators for AI systems based on RISC-V architecture, analyze their performance, and implement prototypes on FPGAs while collaborating closely with colleagues and partners.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- Master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics, or a related field.
Qualifications
- 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.
Experience
- 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.
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Benefits
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Work-Life-Integration
Health, Fitness & Fun
Job Locations
Topics that you deal with on the job
This is your employer
Silicon Austria Labs GmbH
Graz, Altenberg Bei Linz
With Silicon Austria Labs (SAL), we are creating a top European research center for electronic systems. We have world-class research that creates the basis for innovative products and processes in cooperation with science and business.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Science, Research
Junior Scientist Edge-AI Accelerators
- Salary
- from 3.963 € Gross/Month
- Location
- Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
