ForgeApply · Job listing
Helix AI Engineer, Android
Figureai
See all 107 open roles at Figureai →
Tailor your resume for this Figureai job in about a minute.
ForgeApply rewrites your resume for this exact posting, then autofills the application on Figureai's site with it. You review everything before it's sent. Free trial, no card required.
About this role
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.
We're looking for a Senior Android Engineer with deep expertise in low-level Android systems, the NDK, and real-time sensor and video pipelines. This is not a standard Android app role — you'll be building the mobile application that interfaces directly with our custom sensor hardware over USB, ingests high-frequency camera and IMU data in real time, and runs on-device AI inference at the edge.
If you've spent time below the Java/Kotlin layer — writing C/C++ via the NDK, implementing custom HALs, or building zero-copy sensor pipelines — this role was built for you.
WHAT YOU'LL DO
• Build and own the Android application that serves as the primary mobile interface to Figure's humanoid robots, connected via USB Host / Android Open Accessory protocols.
• Architect high-throughput, zero-drop data ingestion pipelines for high-FPS image sensors and high-frequency IMU data, using zero-copy memory techniques and real-time concurrency models.
• Implement custom hardware abstraction layers (HAL) and leverage the Android NDK (C/C++) for high-performance, low-latency processing.
• Optimize CPU/GPU workloads for real-time edge filtering under strict thermal and battery constraints, using foreground services and WorkManager for bulletproof background operation.
• Integrate on-device AI inference libraries (TFLite, MediaPipe, ONNX Runtime, OpenCV) for real-time computer vision and sensor fusion.
• Implement low-latency video streaming protocols (e.g. WebRTC)
WHAT WE'RE LOOKING FOR
• Deep expertise in Android NDK (C/C++) — custom HAL development, USB Host/AOA protocol communication, and direct hardware interfacing below the standard SDK layer.
• Proven experience architecting real-time, low-latency data pipelines for high-bandwidth sensors — zero-copy memory, real-time concurrency, and synchronization with zero frame drops.
• Mastery of Android system resource management: CPU/GPU workload optimization, thermal and battery constraints, foreground services, and WorkManager.
• Strong proficiency in both C/C++ (NDK) and Kotlin/Java for Android.
• Experience shipping production Android applications in hardware-connected, latency-critical environments.
• Proven track record shipping and maintaining production Android applications at scale — including crash rate management, OTA update rollout strategies, real-time telemetry and monitoring pipelines, and sustaining reliability across a large, diverse active user base spanning multiple device configurations and Android OS versions
NICE TO HAVE
• Experience integrating on-device CV/ML inference: TensorFlow Lite, MediaPipe, ONNX Runtime, or OpenCV applied to raw sensor feeds.
• Familiarity with WebRTC or other low-latency streaming protocols for real-time video.
• Background in DSP techniques applied directly to raw sensor data.
• Prior work in robotics companion apps, industrial Android devices, AR/computer vision mobile apps, automotive HMI, or drone control applications.
The US base salary range for this full-time position is between $150,000 - $400,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Salary insight
The midpoint of this range ($300k) is about 50% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,773 jobs).
See full Machine Learning Engineer salary data for San Francisco →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
Tailor your resume for this Figureai role before you apply.
Tailor my resume for this jobSimilar jobs
- Helix AI Engineer, iOS — Figureai · San Jose, CA
- Helix AI Engineer, Backend — Figureai · San Jose, CA
- Helix AI Engineer, Data Infrastructure — Figureai · San Jose, CA
- Helix AI Engineer, XR — Figureai · San Jose, CA
- Helix AI Engineer, Modeling — Figureai · San Jose, CA
- Helix AI Engineer, Robot Learning — Figureai · San Jose, CA
- Helix AI Engineer, Reinforcement Learning — Figureai · San Jose, CA
- Helix AI Engineer, Localization and Mapping — Figureai · San Jose, CA
More like this: Machine Learning & AI Jobs · Machine Learning & AI Jobs in San Francisco · Browse all jobs
Free ATS checker · How to Autofill Greenhouse Job Applications (Without Sending Junk)