SoC Machine Learning Design Engineer - Cupertino, United States
Originally posted 5 October 2026 by the employer.
This role focuses on developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
About the role
This role involves crafting and implementing methodologies and solutions with a high impact on upcoming products, directly involved in SoC design machine learning efforts.
What you'll do
- Craft and implement methodologies and solutions with a high impact on upcoming products.
- Optimize productivity and optimizations across SoC design related functions spanning from design to validation.
- Develop generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
- Collaborate with internal multi-functional teams and the AIML organization to understand domain-specific needs.
- Keep abreast of emerging technologies in machine learning and chip design.
What you'll need
- BS + 10 years relevant industry experience.
- Solid math background and understanding of algorithms and data structures.
- Experience with hardware description languages like Verilog, SystemVerilog or VHDL.
Nice to have
- Practical experience and knowledge of generative AI and modern machine learning methods.
- Experience with RAG systems including embedding models, retrieval strategies, and context optimization techniques.
- Experience with Generative AI pipeline development.
- AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks.
- Experience with AI coding assistants.
- Experience with AI infrastructure protocols such as MCP.
- Experience with Deep neural networks and reinforcement learning.
- Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX.
- Experience with Chip design and verification front end flows.
- Working verification experience with UVM testbenches.
- Working experience with front-end tools such as Static timing analysis and CDC/RDC.
- Master's or PhD with relevant publications.
Skills: SoC design machine learning, generative AI, chip-design process, RTL Design, Verification
This role has been open 0 days — well below the 76-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
504
|
Median days open
76 d
|
Median salary
$230k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Apple | All employers we track in this specialty (504 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 5 | 504 |
| Open roles in the wider Software, Firmware & Systems family | 39 | 5996 · 146 employers |
| Median days open | 27 d | 76 d (−49 d vs this employer) |
| Median salary (USD postings) | — | $230k |
Skills observed across this category: SoC design machine learning, generative AI, chip-design process, RTL Design, Verification
Who's hiring in this category
- Qualcomm · 99 open roles · median 109 d
- NVIDIA · 84 open roles · median 72 d
- AMD · 42 open roles · median 66 d
- Micron Technology · 30 open roles · median 58 d
- Mobileye · 18 open roles · median 73 d
- NXP Semiconductors · 15 open roles · median 63 d
How we counted: 504 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 6 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.