Computer Engineering

Job Description

What You’ll Do

• Design Advanced Challenges — Create complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, embedded systems, and hardware-software co-design
• Build Ground-Truth Solutions — Author rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as gold-standard references for AI training
• Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards
• Sharpen AI Reasoning — Identify logical failures such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve how models think through hardware and systems problems

Who You Are

• Pursuing or holding a Master’s or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field
• Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems
• Able to communicate complex hardware concepts and low-level software logic clearly in written form
• Detail-oriented — comfortable working at the level of bit operations, clock cycles, and hardware timing
• No prior AI experience required

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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