Post-Silicon Hardware Validation Engineer

Office
Remotely
Full-time

Key Responsibilities  

- Craft and own comprehensive post-silicon validation plans—from requirement breakdown to sign-off reports. 

- Develop functional, stress, and corner-case test cases that probe timing, power, and signal-integrity limits.  

- Script automated test suites in Python, Tcl, or Perl; trigger continuous lab runs that shrink cycle time.  

- Operate high-speed oscilloscopes, logic and protocol analyzers, BERTs, and thermal chambers to collect clean data.  

- Characterize silicon across process-voltage-temperature matrices and generate clear statistical dashboards.  

- Perform real-time root-cause analysis with JTAG and mixed-signal probes; isolate hardware, firmware, or system issues.  

- Collaborate with design, firmware, and manufacturing teams—closing feedback loops and driving design-for-test improvements.  

- Author concise validation platforms (custom boards, fixtures, harnesses) that scale across product lines.  

- Document findings, flag critical anomalies, and present risk assessments to cross-functional leadership.  


Required Qualifications  

- Bachelor’s or Master’s in Electrical, Electronics, or Computer Engineering.  

- 5+ years hands-on hardware validation or bring-up experience in semiconductors, consumer electronics, automotive, or communications.  

- Fluency in Python plus solid C/C++ for low-level debug.  

- Proficiency with high-bandwidth test equipment (25 GHz+ scopes, protocol analyzers for PCIe, USB, DDR).  

- Deep understanding of digital and mixed-signal fundamentals, clocking, power delivery, and signal integrity.  

- Demonstrated ability to analyze large data sets—identify outliers, trends, and actionable insights.  

- Clear, concise communicator who converts complex failures into decisive engineering actions.  

- Eligibility to work in the United States; ability to collaborate effectively in a hybrid or fully-remote lab-connected setup.  


Preferred Extras  

- Experience validating 7 nm or below SoCs, RF subsystems, or automotive-grade silicon.  

- Knowledge of machine-learning-driven debug or hardware-in-the-loop frameworks.  

- Familiarity with safety and compliance standards (AEC-Q100, FCC, CE).  

- Track record of publishing whitepapers, patents, or conference presentations on validation methodology.