We're building a revolutionary RISC-V-based GPU and AI platform and are looking for bright, motivated graduates to join our team. If you're passionate about digital hardware design, want to learn from experienced engineers, and are excited about working on cutting-edge technologies like vector processing and neural compute, this is the place for you.
What You’ll Be Doing
As a Graduate Hardware Engineer, you will:
•Learn to design and implement RTL blocks as part of our custom RISC-V vector core GPU
•Contribute to the development of high-performance, energy-efficient compute units for graphics and AI
•Work closely with senior engineers to optimize design for performance, power, and area (PPA)
•Assist in verification processes to ensure design correctness and quality
•Take part in design reviews and team discussions
•Help document technical specifications and development progress
•Gain exposure to industry-standard design and verification tools and flows
What We’re Looking For
We don’t expect you to know everything – we’re here to help you learn and grow. Ideally, you will have:
•A degree in Electrical Engineering, Computer Engineering, or a related field
•A basic understanding of digital design principles and computer architecture
•Exposure to RTL design languages such as SystemVerilog or VHDL (through coursework, projects, or internships)
•An interest in GPUs, AI accelerators, or RISC-V architecture
•Some experience or enthusiasm for scripting (e.g., Python, TCL)