Apple
SoC Machine Learning Design Engineer
$185K–$325K
Austin, Texas +1 · Full-time · Posted Jun 24, 2026
- Location
- Austin, Texas
Cupertino, California - Experience
- Minimum of 10 years of relevant industry experience.
- Education
- BS; master's or PhD preferred but not required.
About the job
Develops machine learning and generative AI solutions to improve efficiency, quality, and speed across SoC design, verification, and power/performance/area optimization.
What you'll do
- Build and implement ML solutions for SoC design functions, including RTL Design, Verification, and Power/Performance/Area efforts.
- Collaborate with internal teams and Apple’s AIML organization to tailor solutions to domain-specific needs.
- Monitor emerging machine learning and chip-design technologies to keep solutions state-of-the-art.
What they ask for
- BS degree and 10 years of relevant industry experience.
- Solid math background and understanding of algorithms and data structures.
- Strong communication and collaboration skills for cross-functional work.
Nice to have
- Practical experience with generative AI and modern machine learning methods; examples include RAG systems, AI evaluation, AI coding assistants, and MCP.
- Experience with frameworks such as PyTorch, TensorFlow, JAX or MLX, hardware description languages, or chip design and verification flows; master's or PhD with relevant publications preferred but not required.
Pay
$184,700 to $324,800 USD base salary
Tools
RAG, PyTorch, TensorFlow, JAX, MLX, Verilog, SystemVerilog, VHDL
AI focus
Develops generative AI and machine learning solutions for SoC design optimization, including RTL Design, Verification, and Power/Performance/Area efforts.
Model-written summary · the original posting is authoritative