Sr Staff Application Engineer - Austin, United States
Originally posted 16 September 2026 by the employer — open 2 days.
About the role
This role involves defining, driving, and evolving artificial intelligence and machine learning technologies across 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.
- Define efficient deployment strategies for AI workloads on resource-constrained embedded platforms.
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.
Skills: AI Architect, machine learning, edge computing, semiconductor technologies, AI accelerators
This role has been open 1 day — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Renesas Electronics | All employers we track in this specialty (512 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 7 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 133 | 5844 · 143 employers |
| Median days open | 16 d | 65 d (−49 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: AI Architect, machine learning, edge computing, semiconductor technologies, AI accelerators
Who's hiring in this category
- Qualcomm · 105 open roles · median 99 d
- NVIDIA · 85 open roles · median 64 d
- AMD · 42 open roles · median 65 d
- Micron Technology · 32 open roles · median 36 d
- Mobileye · 25 open roles · median 50 d
- Analog Devices · 14 open roles · median 21 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 18 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.