Senior Staff Application Technology Architect – Artificial Intelligence & Machine Learning - Plano, United States
AI/ML Hardware
Originally posted 30 September 2026 by the employer.
About the role
This role defines, drives, and evolves artificial intelligence and machine learning technologies across a broad range of intelligent embedded and edge computing solutions.
What you'll do
- Define and own AI/ML technology architectures spanning 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.
- Proven 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, and 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 72-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
72 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Renesas Electronics | All employers we track in this specialty (506 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 129 | 5961 · 145 employers |
| Median days open | 8 d | 72 d (−64 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Who's hiring in this category
- Qualcomm · 106 open roles · median 105 d
- NVIDIA · 84 open roles · median 69 d
- AMD · 42 open roles · median 65 d
- Micron Technology · 29 open roles · median 55 d
- Mobileye · 20 open roles · median 68 d
- NXP Semiconductors · 15 open roles · median 58 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 1 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.