Company Overview
Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions.
Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.
If that's you, join us — the intelligence everywhere revolution starts here.
Responsibilities
You will be responsible for verifying complex digital designs , including Systems-on-Chip (SoCs) with multiple CPUs, digital signal processors, security hardware, interconnects, and peripheral logic supporting IoT and edge-compute applications.
The ideal candidate is a self-starter who takes full ownership of verification efforts and consistently delivers high‑quality, production‑ready silicon.
Key responsibilities include:
Own and execute end-to-end digital verification at block, sub-system, and full-chip (SoC) levels
Develop detailed verification plans aligned with architecture and design specifications
Perform SoC-level verification using full-chip simulation and regression environments
Architect and implement scalable, reusable UVM-based testbenches using SystemVerilog
Develop comprehensive test scenarios, stimulus, monitors, and checkers to achieve robust functional coverage
Drive constrained-random and directed testing , including scoreboarding and self-checking mechanisms
Develop and maintain C/C++ based verification libraries and tests for SoC-level validation
Automate verification flows for regressions, coverage collection, and results reporting
Define, track, and close functional and code coverage goals
Utilize advanced debugging methodologies to isolate and resolve complex design and verification issues
Perform root-cause analysis and collaborate closely with design teams to drive fixes
Ensure verification quality meets or exceeds project, schedule, and industry standards
Experience with edge-based AI inference workloads is a plus.
Requirements
BSEE or MSEE with 8–12 years of hands-on digital design verification experience
Proven track record of multiple tape-outs with silicon functioning to specification
Strong experience in block-level, sub-system, and full-chip SoC verification
Ability to define and manage verification deliverables, milestones, and schedules
Proactively identify verification risks and implement mitigation strategies
Experience working with complex SoCs integrating multiple 3rd-party IPs and VIPs
Strong collaboration skills to work effectively with design, architecture, and software teams
Excellent communication skills for reporting status, issues, and progress to stakeholders
Technical Skills
Design Verification:
SystemVerilog, UVM, Verilog
Functional and code coverage methodologies
Constrained-random verification and scoreboarding
SoC & Software-Based Verification:
C/C++ based verification in SoC environments (required)
Experience with processor-based systems (ARM and/or RISC‑V preferred)
Architectures & Protocols:
ARM or RISC‑V processor-based SoCs
AMBA protocols (AXI, AHB, APB)
DMA, flow control, and standard serial interfaces
Scripting & Automation:
Python, Perl, Makefile
Low Power (Digital):
Experience verifying low-power digital architectures and features is highly desirable
Preferred Experience
Security IPs (Crypto, OTP)
DSP and compute-heavy digital subsystems
High-performance or low-power SoC architectures
Edge AI / ML workload enablement
**Must be currently authorized to work in the United States for any employer.