Key Responsibilities
End-to-End Robotics System Architecture. Define full-stack robotics 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
Customer Engagement & Solution Delivery: Lead technical engagements with robotics customers. Translate customer requirements into architecture proposals and solution roadmaps and deliver:
Technical presentations and executive briefings
System-level design recommendations
Competitive positioning vs GPU/CPU alternatives
Proof-of-Concept (PoC) & Prototyping: Drive PoC development to validate architecture and performance, and work with engineering teams to build demos
Robotics Strategy & Market Development:
Analyze robotics market trends, customer needs, and competitive landscape
Define robotics solution stack (hardware + software + middleware)
Reference architectures for key segments
Contribute to white papers, technical blogs, and training materials
The pay range below is for Bay Area California only. Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
$187.0K- $270.7KUSD
We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations
Required Qualifications
MS/PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or related field
10+ years experience in robotics, 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
Travel Requirements 30%
Regular
Shift 1 (United States of America)
San Jose, California, United States
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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