AI/ML Engineer: System RF Data Ecosystem - Cupertino, United States
Originally posted 8 September 2026 by the employer — open 1 day.
Architect, develop, and deploy scalable AI solutions for wireless manufacturing and design data within Apple's System RF group.
About the role
This role involves architecting, developing, and deploying scalable AI solutions internally, empowering product evolution by building AI/ML-powered analytics from complex wireless manufacturing and design data.
What you'll do
- Architect, develop, and deploy scalable AI solutions.
- Build AI/ML-powered analytics to unlock insights from complex wireless manufacturing and design data.
- Architect intelligent agents for automating repetitive engineering tasks.
- Analyze high-dimensional data to surface hidden trends.
- Build systems to empower engineers in critical decision-making.
What you'll need
- 7+ years of experience in AI/ML-related projects with a proven track record of architecting and deploying production-scale Generative AI solutions.
- Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
- Expert-level knowledge of multi-agent system design, including orchestration, coordination, and persistent state management.
- Strong command of Agent Communication Protocols (e.g., MCP, A2A) and frameworks for designing distributed agentic workflows.
- Expert-level software development skills with a solid foundation in architectural design principles and the creation of scalable, modular systems.
- Proven ability to lead cross-functional architecture discussions and translate product goals into robust technical system designs.
Nice to have
- 10+ years of professional experience in AI/ML-related projects, demonstrating a long-term track record of innovation and technical leadership.
- Proven ability to build efficient interfaces for agents to invoke APIs, query high-dimensional databases, and interact with custom toolsets.
- Proficiency in Python (Core and Async) and a strong command of FastAPI or Flask for serving high-performance AI endpoints.
- Proven success in deploying Generative AI solutions tailored to complex, high-dimensional, and domain-specific engineering data.
- Prior experience overseeing the full lifecycle of large-scale software applications deployed within an enterprise-grade production environment.
- Deep understanding of model selection, intelligent routing, and fallback strategies to ensure reliability across multiple LLM providers.
- Experience developing and implementing rigorous Gen AI evaluation systems to measure the performance, safety, and accuracy of deployed agents.
Skills: AI/ML-powered analytics, Generative AI solutions, multi-agent system design, wireless manufacturing, RF group
This role has been open 1 day — well below the 63-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
63 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Apple | All employers we track in this specialty (508 roles · 79 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 17 | 5650 · 142 employers |
| Median days open | 27 d | 63 d (−36 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: AI/ML-powered analytics, Generative AI solutions, multi-agent system design, wireless manufacturing, RF group
Who's hiring in this category
- Qualcomm · 107 open roles · median 98 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 44 open roles · median 63 d
- Micron Technology · 27 open roles · median 47 d
- Mobileye · 21 open roles · median 44 d
- NXP Semiconductors · 11 open roles · median 64 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 79 employers tracked in the SemiconductorJobs index, counted 10 Sept 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.