Staff Systems Integration Engineer

About Agility Robotics:
Agility Robotics is at the forefront of humanoid robotics, redefining how robots interact with and navigate the human world. Our robots rely on a complex intersection of hardware and advanced software to perform tasks in dynamic environments.

Role Overview:
We are seeking a Staff Systems Integration Engineer to join our Systems Integration team. In this role you will own the strategy of the bring-up and integration of new robotic systems, drive investigation into complex, cross functional root cause analysis, and build up supporting processes and architectures for more effective, efficient development. Your contributions and technical leadership will drive clarity in ambiguous situations, ensuring new prototypes come online smoothly, system functions operate with stability, and technical issues are rapidly understood and resolved.

System Bring-Up & Integration

• Lead bring-up of new sub-systems (torso, perception, energy, compute) and their integration into full humanoid robotic systems
• Bring-up and integration of full robotic systems & drive collaboration with key partners and stakeholders
• Verify hardware/software interfaces and confirm system-level interactions during early development stages
• Develop, execute, and scale integration plans, anticipating future obstacles and developing plans to ensure readiness for prototype builds and delivery to partners and engineering verification and validation test campaigns

Test Development & Execution

• Architect the strategy for nominal path functional tests to confirm correct operation of robot mobility, manipulation, perception, charging, and other functions
• Drive technical direction for the development of integration-level test cases and automated test workflows
• Track system-level performance, risks, & stability and provide feedback for design iteration

Issue Triage & Root Cause Analysis

• Drive resolution of complex, systematic issues identified in system bring-up or functional testing and provide mentorship to the team to triage and resolve issues
• Drive cross-functional debugging sessions spanning mechanical, electrical, and software teams.
• Use structured problem-solving and data analysis methods to identify root causes and define corrective actions

Cross-Functional Collaboration 

• Work closely with systems, hardware, software, and test engineers to ensure alignment between design intent, requirements, and system performance
• Document integration issues and outcomes in internal knowledge bases to accelerate future debugging and prevent recurrence
• Lead the creation and implementation of tools, diagnostic systems, and workflows that improve team productivity and system stability across the integration function
• Mentor engineers and technicians in systematic troubleshooting and integration practices

Qualifications:

• Experience:

• 8+ years of experience in Systems Integration or related R&D functions with a focus on complex mechatronic or autonomous systems
• Breadth of experience working with systems and teams that include mechanical, electrical, and software components
• Proven knowledge of key architectures and functionality of electro-mechanical, compute, and power systems
• Proven track record designing and running engineering tests and characterizations for high performance platforms 
• Proven ability to lead cross-functional deep-dives and drive definitive technical decisions during the triage of critical, multi-system anomalies 
• Preferred: Experience with Nvidia Jetson
• Preferred: Experience with computer vision systems

• Technical Expertise:

• Expertise in integration methods of complex electro-mechanical systems that span systems, hardware, software, and control systems
• Expertise with system level, sub-system level, and component level debugging, data logging, and root cause analysis
• Expertise with instrumentation and test development  
• Preferred: Experience in robotics, autonomous vehicles, aerospace, or other safety-critical domains
• Preferred: Knowledge of humanoid or mobile robotic architectures and subsystems

• Education:
• Bachelor’s or Master’s degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, Robotics, or related field

Location

• This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.