**Role Number:** 200661636-0836
**Summary**
Apple's SOC Silicon Validation Services team is looking for a skilled and curious engineer to help shape the tools that power silicon debug across Apple. We're a close-knit, cross-disciplinary team with deep expertise spanning hardware, software, infrastructure, and operations — and we're looking for someone who thrives at that intersection.
You'll join a small, tightly integrated team where your contributions have real reach: the tools we build are used by hundreds of engineers across Apple's cross-functional silicon debug community. You'll collaborate on a well-established, evolving ecosystem and be challenged to bring a new perspective and opportunities to the table.
**Description**
-Design, build, and enhance silicon debug tools spanning automated feature extraction, data collation, visualization, and analysis
-Drive rapid, targeted debug and triage workflows for engineers across the silicon pipeline
-Contribute to both frontend, backend, and design specific development within a professional engineering environment
-Explore and implement shift-left strategies to surface issues earlier in the silicon development cycle
-Actively leverage AI — both for productivity and in tool capabilities — to accelerate debug and triage intelligence
-Identify new development opportunities and bring your own ideas into the roadmap
**Minimum Qualifications**
+ Bachelor's degree and a minimum of 10 years relevant industry experience.
**Preferred Qualifications**
+ Experience with SoC architecture and micro-architecture
+ Proven ability to drive silicon tool development from concept to delivery
+ Strong full-stack development instincts: comfortable across frontend, backend, and data layers
+ Hands-on experience with C, Python, and SystemVerilog
+ Experience applying AI/ML in real engineering workflows
+ Strong problem-solving skills and comfort operating across hardware and software boundaries
+ Collaborative by nature
+ Experience with DFX (Design for Test/Debug/Manufacturability)
+ Experience with databases and data pipeline design, including ETL/ELT concepts