Architect heterogeneous CPU, GPU, and FPGA solutions for real-time Sense–Think–Act physical AI pipelines.
Originally posted 11 November 2026 by the employer.
About the role
The Physical AI Solutions Architect leads the design and delivery of robotics, drones, medical, industrial, and quantum compute systems combining AI, real-time control, and heterogeneous compute across CPU, GPU, and FPGA. This role defines end-to-end system architectures, bridges sense-think-act physical AI pipelines with hardware acceleration, and drives customer proof-of-concept deployments.
What you'll do
- Define full-stack architectures spanning sensors, perception, localization, planning, control, and actuation with strict latency and determinism constraints.
- Evaluate hardware and software partitioning, specifically focusing on CPU vs. GPU vs. FPGA mapping.
- Lead technical engagements, executive briefings, architecture proposals, and competitive positioning against GPU and CPU alternatives.
- Drive proof-of-concept development and collaborate with engineering teams to build validation prototypes and demos.
- Define physical AI reference architectures, middleware, and solution stacks while contributing to white papers, technical blogs, and training materials.
What you'll need
- BS or MS in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- 10+ years of experience in physical AI including robotics, drones, AI systems, or solutions architecture.
- Demonstrated expertise in robotics systems and AI/ML for robotics.
- Experience with ROS or ROS2, real-time control systems, deterministic processing, and end-to-end robotics control loop architecture.
- Hands-on background in world modeling, point cloud generation, motion planning, and physical AI SDKs.
- Familiarity with sensor fusion, localization, and VLA or VLM models.
Nice to have
- PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Experience with FPGA platforms (RTL, HLS).
More semiconductor jobs: Altera jobs · AI chip design jobs
First seen in our index 0 days ago, well below the 108-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
467
|
Median days since first seen
108 d
|
Category median salary (all employers)
$237k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Altera | All employers we track in this specialty (467 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 467 |
| Open roles in the wider Software, Firmware & Systems family | 17 | 6586 · 158 employers |
| Median days since first seen | 49 d | 108 d (+59 d vs this employer) |
| Median salary (USD postings) | n/a | $237k |
Who's hiring in this category
- NVIDIA · 108 open roles · median 86 d
- Qualcomm · 94 open roles · median 133 d
- AMD · 21 open roles · median 126 d
- Mobileye · 15 open roles · median 100 d
- Analog Devices · 14 open roles · median 49 d
- Micron Technology · 13 open roles · median 57 d
How we counted: 467 open AI/ML Hardware Engineering (AI ML Hardware) roles from 73 employers tracked in the SemiconductorJobs index, counted 12 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.