SoC Machine Learning Design Engineer

Apple Inc.; Austin (TX); In loco; USD 150.000 - 278.000; Tempo pieno

Vantaggi offerti da questo lavoro

Employee stock purchase plan

Discretionary bonuses/relocation

Comprehensive medical and dental plans

Descrizione del lavoro

Apple Inc. seeks an innovative engineer to join the SoC design ML team, building generative AI and ML solutions that optimize RTL design, verification, and power/performance/area goals. You will work across design, validation, and AIML groups with cross-functional teams to push state-of-the-art AI for Apple silicon.

The role emphasizes collaboration, rapid prototyping, and impact on next‑generation processors used by millions of customers worldwide. Prior leadership experience is a plus.

Competenze

• BS plus 3 years relevant industry experience.
• Strong knowledge of generative AI and ML methods.
• Experience with DL frameworks and hardware description languages.

Mansioni

• Develop ML-based optimizations for RTL Design and Verification.
• Collaborate with multi-functional teams and AIML organization.
• Evaluate AI solutions and contribute to design improvements.

Conoscenze

Generative AI

Deep learning

Reinforcement learning

Machine learning optimization

Cross-functional collaboration

Verilog/SystemVerilog/VHDL

Formazione

BS + 3 years experience

MS/PhD with publications preferred

Strumenti

PyTorch

TensorFlow

JAX

ML frameworks

Descrizione del lavoro

Cupertino, California, United States Hardware

At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation.

Description

As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products. Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process. You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts. You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains. As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art. Prior leadership experience a plus.

Minimum Qualifications

• Minimum of BS + 3 years relevant industry experience.

Preferred Qualifications

• Practical experience and knowledge of generative AI and modern machine learning methods.
• Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques. 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 is a plus
• 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.
• Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches. Working experience with front-end tools such as Static timing analysis and CDC/RDC.
• Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams
• Master's or PhD with relevant publications preferred but not required.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.