BS/MS in Electrical Engineering, Computer Engineering, Robotics, or related field.
10+ years in robotics systems, embedded systems, automotive systems, autonomous platforms, or advanced networking architecture.
Strong knowledge of robotic systems, sensors, AI compute, and distributed control.
Experience with high-speed networking, Ethernet, and embedded communication interfaces.
Ability to develop system-level hardware architectures and technical diagrams.
Understanding of real-time communication, bandwidth, latency, and synchronization.
Excellent technical communication and customer engagement skills.
Responsibilities
Develop end-to-end connectivity architectures for humanoid, mobile, and industrial robots.
Define networking solutions connecting AI processors, cameras, sensors, controllers, and distributed computing nodes.
Create system-level block diagrams, connectivity blueprints, and reference architectures.
Optimize designs for bandwidth, latency, determinism, power, cost, and reliability.
Work directly with robotics OEMs to understand requirements and recommend solutions.
Collaborate with engineering, product management, and customer-facing teams to accelerate adoption.
Identify emerging robotics connectivity requirements and help guide product direction.
Benefits
Technology depth and breadth expansion that can't be found in a large company.
Opportunity to grow your career as the company grows.
Pre IPO stock options.
Cutting edge technology.
World class team.
Flexible hours.
Medical, dental and vision insurance for employees.
Full Job Description
Principal Robotics Systems Architect
Summary:
Work closely with robotics customers and Ethernovia engineering teams to develop optimized system-level connectivity architectures. The role requires a deep understanding of AI compute platforms, cameras, sensors, actuators, distributed processing, and real-time communications. The architect will create practical networking blueprints and reference architectures that help customers accelerate product development. Key Responsibilities
Develop end-to-end connectivity architectures for humanoid, mobile, and industrial robots.
Define networking solutions connecting AI processors, cameras, sensors, controllers, and distributed computing nodes.
Create system-level block diagrams, connectivity blueprints, and reference architectures.
Optimize designs for bandwidth, latency, determinism, power, cost, and reliability.
Work directly with robotics OEMs to understand requirements and recommend solutions.
Collaborate with engineering, product management, and customer-facing teams to accelerate adoption.
Identify emerging robotics connectivity requirements and help guide product direction.
Required Qualifications
BS/MS in Electrical Engineering, Computer Engineering, Robotics, or related field.
10+ years in robotics systems, embedded systems, automotive systems, autonomous platforms, or advanced networking architecture.
Strong knowledge of robotic systems, sensors, AI compute, and distributed control.
Experience with high-speed networking, Ethernet, and embedded communication interfaces.
Ability to develop system-level hardware architectures and technical diagrams.
Understanding of real-time communication, bandwidth, latency, and synchronization.
Excellent technical communication and customer engagement skills.
Preferred Qualifications
Experience with humanoid, autonomous mobile, or industrial robots.
Background in robotics OEMs, autonomous systems, or semiconductor companies.
Familiarity with ROS 2, DDS, TSN, and industrial communication protocols.
Knowledge of high-speed interfaces, physical connectivity, and system integration.
Experience creating reference designs and supporting customer design wins.
What You Can Expect From Ethernovia:
Technology depth and breadth expansion that can't be found in a large company
Opportunity to grow your career as the company grows
Pre IPO stock options
Cutting edge technology
World class team
Competitive base salary
Flexible hours
Medical, dental and vision insurance for employees
Salary Range:
The actual offered base salary for U.S. locations will vary depending on factors such as work location, individual qualifications, specializations, years of experience, skills, job-related knowledge, and internal equity. The annual salary range for this position is $200,000 - $275,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.
