Helix AI Engineer, Android (Robotics)

TL;DR

Helix AI Engineer, Android (Android/C++): Developing a high-performance mobile interface for humanoid robots with an accent on low-level Android systems, NDK, and real-time sensor pipelines. Focus on building zero-copy data ingestion, implementing custom HALs, and integrating on-device AI inference at the edge.

Location: Must be based in San Jose, CA (5 days/week in-office)

Salary: $150,000 - $400,000

Company

hirify.global is an AI Robotics company developing a general-purpose humanoid designed for commercial tasks and the home.

What you will do

• Build and own the Android application serving as the primary mobile interface to humanoid robots via USB Host and Android Open Accessory protocols.
• Architect high-throughput, zero-drop data ingestion pipelines for high-FPS image sensors and IMU data using zero-copy memory.
• Implement custom hardware abstraction layers (HAL) and leverage the Android NDK (C/C++) for low-latency processing.
• Optimize CPU/GPU workloads for real-time edge filtering under strict thermal and battery constraints.
• Integrate on-device AI inference libraries such as TFLite, MediaPipe, ONNX Runtime, and OpenCV.
• Implement low-latency video streaming protocols, including WebRTC.

Requirements

• Deep expertise in Android NDK (C/C++), custom HAL development, and USB Host/AOA protocol communication.
• Proven experience architecting real-time, low-latency data pipelines for high-bandwidth sensors with zero-copy memory.
• Mastery of Android system resource management, including CPU/GPU optimization, foreground services, and WorkManager.
• Strong proficiency in both C/C++ (NDK) and Kotlin/Java.
• Experience shipping production Android applications in hardware-connected, latency-critical environments.
• Work Format: Required 5 days/week in-office collaboration in San Jose, CA.

Nice to have

• Experience integrating on-device CV/ML inference (TensorFlow Lite, MediaPipe, ONNX, OpenCV) on raw sensor feeds.
• Familiarity with WebRTC or other low-latency streaming protocols.
• Background in DSP techniques applied to raw sensor data.
• Prior work in robotics companion apps, industrial Android devices, AR/computer vision apps, or automotive HMI.

Culture & Benefits

• Opportunity to build a general-purpose humanoid robot from the ground up.
• High-impact role interfacing directly with custom sensor hardware and AI at the edge.
• Competitive US base salary range.