Robotics Solutions Architect

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%

Job Type:
Regular

Shift:
Shift 1 (United States of America)

Primary Location:
San Jose, California, United States

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.