SoC Machine Learning Design Engineer
Apple· Hardware
Hybrid (Cupertino, California), Hybrid (Austin, Texas)$184.7k - $324.8kFull-timePosted 2w ago
About the role
SoC design machine learning engineer role at Apple focused on developing generative AI and machine learning solutions to optimize RTL Design, Verification, and Power/Performance/Area efforts across SoC design processes. Collaborates with multi-functional teams and AIML organization to deliver state-of-the-art ML-driven improvements for chip design and validation.
Responsibilities
- Develop and implement ML/Generative AI solutions to optimize RTL Design, Verification, and Power/Performance/Area efforts in SoC design.
- Collaborate with internal multi-functional teams and the AIML organization at Apple to tailor ML solutions to domain needs.
- Stay abreast of emerging ML and chip design technologies to keep solutions state-of-the-art.
- Lead or contribute to generative AI pipeline development, AI evaluation/testing, and related frameworks.
- Possibly provide leadership within the team; prior leadership experience is a plus.
Qualifications
- Minimum of BS + 10 years relevant industry experience.
- Practical experience and knowledge of generative AI and modern ML methods.
- Experience with RAG systems, embedding models, retrieval strategies, and context optimization techniques; Generative AI pipeline development; AI evaluation and testing; AI coding assistants; AI infrastructure protocols such as MCP.
- Experience with Deep neural networks and reinforcement learning is a plus.
- Solid math background and understanding of algorithms and data structures.
- Experience with current deep learning frameworks (PyTorch, TensorFlow, JAX or MLX).
- Experience with hardware description languages (Verilog, SystemVerilog, VHDL).
- Experience with chip design and verification front end flows is a plus (UVM, Static timing analysis, CDC/RDC).
- Strong communication and collaboration skills for cross-functional teamwork.
- Master’s or PhD with relevant publications preferred but not required.
Skills
Required:Generative AIRAG systems and embedding modelsML pipeline developmentAI evaluation and testingDeep learning frameworksHardware description languages
Nice to have:AI coding assistantsAI infrastructure protocols (MCP)Chip design & verification front-end flows
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Educational expense reimbursement (tuition)
- Potential discretionary bonuses or commissions
- Relocation assistance
Last updated Oct 9, 2026. Interested? Apply on the company site.
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
More open roles at Apple
- Senior UI Software Engineer, Cocoa3d agoCupertino, CA · Software and Services
- AIML - Machine Learning Engineer, Visual Intelligence Technology3d agoHybrid (Cupertino/Santa Clara/SSeattle area (3 work locations)) · Visual Intelligence Technology
- Physical Design Methodology CAD Engineer3d agoHybrid (Sunnyvale, California), Hybrid (Austin, Texas) +3 more · Hardware Technology CAD team / Silicon Technologies group
- Sr. ML Optimization Engineer, ASE Efficiency3d agoHybrid (San Diego, CA) · Software and Services
- Sr. ML Optimization Engineer, ASE Efficiency3d agoHybrid (Seattle, WA) · Software and Services