SoC Machine Learning Design Engineer - Austin, United States
Originally posted 5 October 2026 by the employer.
About the role
This role involves crafting and implementing methodologies and solutions using machine learning to improve productivity and optimizations across SoC design functions from design to validation. You will optimize efficiency, quality, and speed for the chip-design process, focusing on developing generative AI and machine learning solutions for RTL Design, Verification, and Power/Performance/Area efforts.
What you'll do
- Craft and implement methodologies and solutions with high impact on upcoming products.
- Collaborate with multi-functional teams to use machine learning for productivity and optimization in SoC design.
- Optimize for efficiency, quality, and speed for the chip-design process.
- Develop generative AI and machine learning solutions for RTL Design, Verification, and Power/Performance/Area.
- Collaborate with internal multi-functional teams and the AIML organization to tailor machine learning solutions.
- Keep abreast of emerging technologies in machine learning and chip design.
What you'll need
- BS degree with 10 years relevant industry experience.
- Solid math background and understanding of algorithms and data structures.
- Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX.
- 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.
- Working verification experience with UVM testbenches.
- Working experience with front-end tools such as Static timing analysis and CDC/RDC.
- Prior leadership experience.
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.