What are the responsibilities and job description for the Emulation Engineer position at Acceler8 Talent?
Senior Emulation Engineer
Location: Remote or Hybrid from Santa Clara
About the Role
We are developing next-generation AI compute silicon built for high performance, energy efficiency, and scalable inference. As a Senior Emulation Engineer, you will play a critical role in validating complex accelerator and SoC architectures on emulation platforms ahead of tape-out. This is an exciting opportunity for someone who enjoys working at the intersection of hardware and software in a fast-paced, cutting-edge environment.
What You’ll Do
- Set up, maintain, and optimize emulation and prototyping platforms
- Adapt SoC designs for emulation and FPGA-based prototyping
- Develop, enhance, and debug emulation testbenches and system-level environments
- Support pre-silicon validation, early software bring-up, and power/performance analysis
- Contribute to silicon bring-up and post-silicon validation efforts
- Partner closely with design and verification teams to identify root causes and accelerate debug
- Improve emulation workload efficiency and reduce turnaround time
- Collaborate with firmware and software teams to enable emulator-based OS and driver testing
What We’re Looking For
- BS, MS, or PhD in Electrical Engineering, Computer Science, or a related field, with 7 years of SoC design experience
- Strong experience with emulation platforms and FPGA-based prototyping systems
- Experience with high-speed I/O interfaces and advanced memory technologies
- Solid understanding of digital design, RTL development, and SoC architecture
- Proficiency with hardware debug tools, waveform viewers, and logic analyzers
- Scripting skills in Python, Tcl, Perl, or similar languages for automation and infrastructure development
- Familiarity with simulation, UVM, and testbench environments
- SystemVerilog and UVM-based verification experience is a plus
- Hands-on software development experience in C/C is a plus
Why Join Us
You’ll have the opportunity to work on advanced AI hardware, collaborate with highly skilled cross-functional teams, and make a direct impact on the development of innovative compute technologies.