Altera
Physical AI Solutions Architect

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Job Details
Job Description
We are seeking a Physical AI Solutions Architect to lead the design and delivery of next-generation robotics, drones, medical, industrial, and quantum compute systems that combine AI, real-time control, and heterogeneous compute (CPU/GPU/FPGA).
This role is responsible for defining end-to-end system architectures, driving customer engagements and PoCs, and translating advanced Physical AI concepts into production-ready solutions.
The ideal candidate bridges sense-think-act physical AI pipeline, and hardware acceleration, with a strong focus on low-latency, deterministic, and scalable systems deployed in real-world environments.
Key Responsibilities
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End-to-End Physical AI System Architecture
- Define full-stack architectures spanning sensors, perception, localization, planning, control, and actuation.
- Design Sense–Think–Act pipelines with strict latency and determinism constraints.
- Evaluate hardware/software partitioning, especially CPU vs GPU vs FPGA mapping.
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Customer Engagement & Solution Delivery
- Lead technical engagements with physical AI customers.
- Translate customer requirements into architecture proposals and solution roadmaps.
- Deliver:
- Technical presentations and executive briefings.
- System-level design recommendations.
- Competitive positioning vs GPU/CPU alternatives.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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Proof-of-Concept (PoC) & Prototyping
- Drive PoC development to validate architecture and performance.
- Work with engineering teams to build demos.
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Physical AI Strategy & Market Development
- Analyze physical AI market trends, customer needs, and competitive landscape.
- Define physical AI solution stack (hardware + software + middleware).
- Create reference architectures for key segments.
- Contribute to white papers, technical blogs, and training materials.
Qualifications
- Must have BS/MS, PhD preferred in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or related field.
- 10+ years' experience in physical AI including robotics, drones, AI systems, or solutions architecture.
- Strong expertise in one or more domains: Robotics systems and AI/ML for robotics.
- Experience with:
- ROS / ROS2
- FPGA platforms (RTL, HLS) – Preferred, but not mandatory
- Real-time control systems and deterministic processing
- E2E robotics control loop architecture
- World modeling and point cloud generation
- Motion planning
- Physical AI SDK
- Familiarity with:
- Sensor fusion, localization, motion planning, control loops
- VLA and VLM models


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Travel Requirements
30%
Job Type
Regular
Shift
Shift 1 (United Kingdom)
Primary Location
Marlow, Buckinghamshire, United Kingdom
Additional Locations
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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