Skip to content
Talento
Sign inGet started

Talento

Upload your CV, set your preferences, and find jobs that fit.

PrivacyTermsCookiesAccessibility

← All roles

Lead Roboticist Systems Integration and Test Engineer

at Qualcomm

San Diego, California, United States of America, onsite, lead, 3+ years

seen 46d ago

Apply for this roleSign in to track your application
  • Validation
  • Java
  • C++
  • C
  • Reliability Engineering
  • Wi-Fi
  • AI
  • Hardware Integration
  • 3D Printing
  • 5G
  • ROS
  • ROS2
  • System Integration
  • Python

About the role

The Qualcomm Advanced Robotics Team is building the platform for next-generation robots—from AMRs and cobots to emerging humanoids. We combine heterogeneous compute (CPU/GPU/DSP/NPU) with a full robotics software stack for perception, planning, control, and fleet workflows. Our focus is on turning advances in AI, compute, and connectivity into real, working robotic systems.

We are building a new robotics lab and are looking for a technical lead to drive system integration and deployment of AI-powered robotic platforms. This role focuses on owning the integration and validation of complete robot systems. You will lead efforts to take AI models, software components, and hardware platforms—and bring them together into reliable, end-to-end robotic applications. You will set direction for how systems are brought up, tested, and validated, while also being hands-on in the lab working directly with robots. This role sits at the intersection of robotics, AI, and systems engineering, with a strong focus on making full systems work in real-world conditions.

What you would do

### Technical Leadership & Ownership * Lead system integration efforts across multiple robotic platforms * Define integration, testing, and validation strategies for robotics systems * Drive best practices for system bring-up, debugging, and reliability * Own overall system behavior and performance in the lab

### System Integration & Deployment * Integrate perception, planning, control, and AI models into complete robot applications * Deploy advanced AI models (perception, VLA, reasoning) onto robotic hardware * Rapid prototyping to facilitate quick bring-up of systems, including 3D printing, interfacing with mechanical and electrical teams, calibration, cabling and electronics assembly. * Debugging skills including power budgeting, ability to distinguish hardware from software issues, system identification, cabling/sensor/actuator debugging * Translate Qualcomm technologies (Dragonwing, AI Engine, compute, Wi-Fi, 5G) into working systems

### System Bring-Up & Robot Ownership * Lead bring-up of new robot platforms (hardware + software) * Oversee configuration, maintenance, and readiness of lab robots * Ensure robots are stable, repeatable, and usable for development and demos

### Testing & Validation * Define and execute system-level testing strategies (functional, integration, reliability) * Establish validation processes to ensure end-to-end functionality * Setup, maintenance and operation of high-quality calibration for and high-performance measurement systems * Drive identification and resolution of system-level failures

Read from careers.qualcomm.com, last seen 4d ago.

### Debugging & Problem Solving * Lead debugging of complex cross-disciplinary issues (software, hardware, AI, control) * Guide teams in isolating and resolving integration bottlenecks * Ensure issues are addressed at root cause, not just symptoms

### Collaboration & Execution * Work closely with AI, hardware, and platform teams to integrate new capabilities * Provide technical guidance and mentorship to engineers working on system integration * Drive alignment between research, development, and deployment

### Demo & Lab Readiness * Ensure robots are reliable and polished for internal and external demonstrations * Oversee demo readiness, including repeatability and performance consistency

What they are looking for

### Minimum Qualifications: * Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. * OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. * OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. * 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.