Positron
ASIC Physical Design Engineer - DFT, Senior
$200K–$300K
Remote (United States) · Remote · Senior · Full-time · Posted Sep 29, 2026
- Experience
- 8+ years of ASIC development experience.
- Education
- BS, MS, or PhD in Electrical Engineering or Computer Engineering.
- Visa sponsorship
- Candidates must be currently authorized to work in the U.S.; no new visa sponsorship is available, but H-1B transfers may be facilitated for eligible candidates.
About the job
Own end-to-end DFT architecture and implementation for AI accelerator ASICs, from RTL integration and pre-silicon verification through tapeout and first-silicon bring-up.
What you'll do
- Architect and implement DFT features, integrate internal and third-party DFT IP, and work directly in RTL, synthesis, and DFT flows.
- Develop and execute DFT verification and ATPG strategies to meet coverage targets before tapeout.
- Partner with backend and cross-functional teams on physical implementation, test architecture, and silicon bring-up.
What they ask for
- BS, MS, or PhD in Electrical Engineering or Computer Engineering.
- Extensive hands-on DFT implementation on complex SoCs, including multiple successful production tapeouts.
- Required hands-on experience with Siemens Tessent DFT solutions (SSN, EDT, MBIST, RTLpro, Scanpro, Tessent Diagnosis).
- Strong RTL skills using Verilog/SystemVerilog; practical synthesis and gate-level verification experience; scripting ability in Python, Tcl, Perl, or similar.
Nice to have
- Experience with high-performance AI accelerators, GPUs, CPUs, networking ASICs, PCIe, HBM, LPDDR, or chiplet architectures.
- Exposure to SerDes, advanced process nodes (5nm and below), low-power design, yield enhancement, manufacturing test, or silicon bring-up.
Pay
$200,000 – $300,000 USD base salary
Tools
Verilog/SystemVerilog, Python, Tcl, Perl, Siemens Tessent, Palladium, ZeBu, Veloce
AI focus
Use modern AI tools for DFT report review, ATPG and coverage analysis, regression triage, documentation, workflow automation, and agentic engineering assistance; the role supports development of AI inference accelerators.
Model-written summary · the original posting is authoritative