Software Engineering Manager, Pixel Hearables, AI Test

• Build, mentor, and lead an engineering team driving modernized quality practices and test architectures.
• Architect and deploy agentic AI systems for autonomous test generation, synthetic edge-case modeling, and root-cause analysis.
• Drive physical AI and smart lab automation strategies using robotics, computer vision, and acoustic testbeds.
• Oversee end-to-end verification, system validation, and hardware-in-the-loop (HIL) infrastructure across product lifecycles.
• Partner with cross-functional Hardware, Silicon, Firmware, and OS teams to establish unified validation standards.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
• 8 years of experience in software development, test engineering, or hardware-software integration.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Experience building engineering workflows with multi-agent systems, autonomous triage, or synthetic test generation.
• Experience with robotics, automated test fixtures, computer vision, acoustic measurement, or Hardware-in-the-Loop (HIL) testing.
• Experience with consumer electronics, embedded systems, Bluetooth/BLE protocols, or audio/DSP architectures.
• Proficiency in Python, C++, Go, or embedded programming environments.

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
• 8 years of experience in software development, test engineering, or hardware-software integration.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience integrating generative AI tools or LLM interfaces into workflows.