Qualcomm
Modem Hardware Design Verification Engineer – AI Driven Next Gen Modem Hardware Development, Staff
$162K–$244K
Boxborough, Massachusetts · On-site · Staff · Full-time · Posted Sep 17, 2026
- Experience
- Minimum: 4+ years with a bachelor’s degree, 3+ years with a master’s degree, or 2+ years with a PhD. Preferred qualifications also state 5+ years of relevant industry experience.
- Education
- Bachelor’s, master’s, or PhD degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
About the job
Verifies wireless modem hardware and subsystems by creating verification plans and environments and applying AI-assisted methods to improve test coverage, debugging, and verification throughput.
What you'll do
- Define and execute verification plans and build reusable verification environments for modem hardware.
- Use advanced verification techniques to validate wireless baseband and subsystem designs, including coverage closure and debug.
- Work with system, firmware, and RTL design teams to support first-time-right silicon.
What they ask for
- Bachelor’s degree in a related field and 4+ years of relevant work experience, or master’s degree and 3+ years, or PhD and 2+ years.
- Expertise in verification planning, testbench architecture, assertions, debugging, and problem solving.
- Hands-on constrained-random verification using SystemVerilog with UVM/OVM, including functional/code/assertion coverage.
- Understanding of Verilog/VHDL, C/C++, SystemC, and scripting (Python/Perl).
Nice to have
- Experience with Generative AI, ML, or agentic-AI-based verification automation, AI-guided test generation, or ML-based regression optimization.
- Wireless/wireline modem, DSP, or communication systems background; 4G/5G 3GPP physical layer standards knowledge is a plus.
Pay
$162,500.00 - $243,700.00 USD base salary
Tools
SystemVerilog, UVM/OVM, Verilog/VHDL, C/C++, SystemC, Python/Perl, Unix/Linux, XML
AI focus
Applies Generative AI, ML-assisted flows, and agentic-AI automation to verification, including AI-guided test generation and ML-based regression optimization.
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