Physical AI Distinguished Solutions Architect - San Jose, CA, United States
Originally posted 5 July 2026 by the employer.
About the role
The Physical AI Distinguished Solutions Architect is an individual contributor role within Lattice's Architecture organization focused on product strategy for Physical AI solutions across humanoid robots, cobots, AMRs, UAVs, medical robotics, and drones. The role architects how FPGAs connect to GPUs and XPUs for sensor aggregation, perception, actuation control, safety, and edge AI inference.
What you'll do
- Define and own the technical solution narrative for physical AI end markets, translating customer requirements into FPGA insertion opportunities with robotics OEMs. - Architect technical solutions demonstrating how FPGAs bridge sensors, actuators, and real-time control systems to GPU and XPU compute platforms. - Architect distributed, deterministic control across multi-node robotic systems and advise on partitioning workloads across accelerators, CPUs, MCUs, and FPGAs. - Develop architecture for real-time control systems including whole-body control, motion planning, sensor fusion, and sub-millisecond latency control loops. - Define functional safety and security architectures for human-safe operation, applying standards including IEC 61508, ISO 13849, and ISO 10218. - Collaborate with ecosystem partners such as NVIDIA, Green Hills, Wind River, and QNX to build joint reference designs and platforms.
What you'll need
- 8+ years of relevant experience in FPGA, programmable logic, digital computing, embedded silicon software, or robotics and autonomous systems. - Bachelor's degree in electrical engineering, computer engineering, or a related technical field. - Experience architecting real-time control, sensor fusion, or motion planning systems bridging to GPU/XPU platforms. - Working knowledge of functional safety and security standards such as IEC 61508, ISO 13849, or ISO 10218.
Nice to have
- Graduate degree in engineering, business administration, or a related field.
Skills: go-to-market strategy, humanoid robots, cobots, Physical AI, market strategy, product roadmap priorities, solution narratives, ecosystem partnerships
This role has been open 89 days — slightly above the 82-day median for Product Marketing roles.
Product Marketing · AI ML Hardware
|
Open roles in category
39
|
Median days open
82 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Lattice Semiconductor | All employers we track in this specialty (39 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 39 |
| Median days open | 89 d | 82 d (+7 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: go-to-market strategy, humanoid robots, cobots, Physical AI, market strategy, product roadmap priorities
Who's hiring in this category
- NVIDIA · 7 open roles · median 33 d
- AMD · 5 open roles · median 46 d
- Qualcomm · 3 open roles · median 47 d
- SambaNova · 3 open roles · median 25 d
- Ambarella · 2 open roles · median 55 d
- FuriosaAI · 2 open roles · median 84 d
How we counted: 39 open Product Marketing (AI ML Hardware) roles from 20 employers tracked in the SemiconductorJobs index, counted 19 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. Figures refresh nightly.
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