Senior Staff Application Technology Architect – Artificial Intelligence & Machine Learning - Tempe, United States
AI/ML Hardware
Originally posted 1 October 2026 by the employer.
About the role
This role defines, drives, and evolves artificial intelligence and machine learning technologies for intelligent embedded and edge computing solutions.
What you'll do
- Define and own AI/ML technology architectures for embedded systems, edge computing, cloud-connected systems, and intelligent sensor solutions.
- Translate customer challenges, market opportunities, and technology trends into AI solution architectures and technology roadmaps.
- Drive development of reusable AI frameworks, software architectures, inference pipelines, model-deployment methodologies, and reference implementations.
- Lead the evaluation, development, and adoption of machine learning, deep learning, foundation-model, and agentic-AI technologies.
- Drive hardware/software partitioning across MCUs, MPUs, AI accelerators, NPUs, DSPs, FPGAs, and cloud resources.
- Evaluate and optimize AI models for accuracy, latency, memory footprint, power consumption, and cost.
What you'll need
- Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field.
- 10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems.
- Proven track record as an AI Architect, Principal AI Engineer, Chief Architect, AI Research Lead, or equivalent technical leadership role.
- Expertise in Machine Learning, Deep Learning, Statistical Modeling, Signal Processing, Computer Vision, Sensor Analytics, Data Fusion, Pattern Recognition, Predictive Analytics, Time-Series Analysis, Explainable AI, Edge AI.
- Strong experience with PyTorch, TensorFlow, ONNX, ML model optimization, Data pipelines, AI deployment frameworks.
- Strong understanding of Embedded systems, Edge computing platforms, Heterogeneous compute architectures, MCUs, MPUs, NPUs, DSPs, AI accelerators, Performance, power, and memory optimization.
Nice to have
- PhD in Applied Mathematics, Machine Learning, Signal Processing, Computer Vision, or related discipline.
- Experience developing patented AI technologies or algorithms.
- Publications in AI, machine learning, signal processing, or computer vision.
- Experience with foundation models, multimodal AI, and agentic AI systems.
- Experience with sensor analytics and anomaly detection.
- Experience in embedded AI deployment.
- Familiarity with semiconductor architectures and AI acceleration technologies.
- Industry experience spanning multiple domains such as industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics.
Market context
This role has been open 0 days — well below the 73-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
510
|
Median days open
73 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Renesas Electronics | All employers we track in this specialty (510 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 510 |
| Open roles in the wider Software, Firmware & Systems family | 131 | 5930 · 145 employers |
| Median days open | 9 d | 73 d (−64 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Who's hiring in this category
- Qualcomm · 106 open roles · median 106 d
- NVIDIA · 84 open roles · median 72 d
- AMD · 42 open roles · median 66 d
- Micron Technology · 31 open roles · median 56 d
- Mobileye · 20 open roles · median 69 d
- NXP Semiconductors · 15 open roles · median 59 d
How we counted: 510 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 2 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.