
Robotics Solutions Architect
Job Description
Job Details:
Job Description:
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 on a number of factors 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 - $270.7K USD
We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.
Qualifications:
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%