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Senior Development Test Engineer — Pre & Post-Silicon Software Test, Validation and Characterization

TYLsemi · San Jose, CA · On-site

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About TYLsemi

About TYLsemi, Inc. The Opportunity The AI infrastructure market is exploding. Every hyperscaler, every cloud provider, every AI company is building custom silicon. Backed by Matter Venture Partners.

About the role

You will own the complete validation lifecycle across a multi-die architecture—covering high-speed die-to-die (UCIe) interconnects, Power Delivery Networks (PDN/PMIC), Platform Management Controllers (PMC), PCIe/CXL subsystems. Additionally, you will apply statistical analysis and machine learning to test data—driving outlier detection, bench-to-ATE correlation, and predictive telemetry signals—without treating ML models as a substitute for true physical root-cause analysis.

What they're looking for

  • Test Plan Ownership: Define development test strategies, coverage targets, content architecture, and strict traceability from architectural requirements to validation evidence
  • Bare-Metal & C/Python Test Content: Write low-level C and Python test suites—including bare-metal exercisers, traffic generators, stress patterns, and custom firmware drivers/hooks
  • Scalable Automation & HIL: Build robust test frameworks featuring instrument control, automated sequencing, structured result capture, and Hardware-in-the-Loop (HIL) CI/CD integration for continuous validation
  • Bench-to-ATE Handoff: Develop lab-to-ATE correlation test suites and drive smooth handoffs to Product & Test Engineering (PTE)
  • Own the development test plan: coverage goals, content architecture, and the traceability between a requirement, the test that exercises it, and the evidence it passed
  • Injection Frameworks: Build minimally invasive fault-injection hardware/software infrastructure that perturbs target datapaths without destabilizing the test setup itself
More about this role

About the role

We are seeking an experienced to own the end-to-end testing, characterization, and failure analysis strategy for complex, next-generation multi-die packages.

You will own the complete validation lifecycle across a multi-die architecture—covering high-speed die-to-die (UCIe) interconnects, Power Delivery Networks (PDN/PMIC), Platform Management Controllers (PMC), PCIe/CXL subsystems.

Additionally, you will apply statistical analysis and machine learning to test data—driving outlier detection, bench-to-ATE correlation, and predictive telemetry signals—without treating ML models as a substitute for true physical root-cause analysis.

What you’ll do

Test content and automation

  • Test Plan Ownership: Define development test strategies, coverage targets, content architecture, and strict traceability from architectural requirements to validation evidence.
  • Bare-Metal & C/Python Test Content: Write low-level C and Python test suites—including bare-metal exercisers, traffic generators, stress patterns, and custom firmware drivers/hooks.
  • Scalable Automation & HIL: Build robust test frameworks featuring instrument control, automated sequencing, structured result capture, and...

Read the full posting on TYLsemi's site ↗

RnD/Engineering

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