SDK Platform Engineer

Faraday Future•El Segundo, CA

About The Position

This is a hardware-software integration role on an embodied-AI robotics platform. The SDK Platform Engineer develops and validates the robot SDK across humanoid and quadruped robots from multiple vendors; owns edge-side integration and hardware bring-up, including compute boards, sensors, buses, and on-device inference; and builds the developer platform and tools end to end. These tools include the Skill Store, Console, and content-creation tools, spanning web frontend and backend services through verification on real robots. As the roadmap advances, the role will also involve building simulation environments and training, evaluating, and deploying motion policies on real robots. Interfaces must be reliable on real hardware and usable by third-party developers; a successful return code alone is not considered completion.

Requirements

Bachelor's degree or above in Computer Science, Electrical Engineering, Automation, Robotics, Mathematics, or a related field, or equivalent professional experience.
Experience building software others depend on, such as SDKs, libraries, or APIs, or experience with embedded or hardware-software systems. No minimum years of experience are required; new graduates with strong hands-on embedded or robotics project work are welcome.
Knowledge, expertise, and passion for robotics software, hardware-software integration, and developer platforms.
Production-level Python or C/C++ skills, including writing tests.
Strong familiarity with Linux development and deployment, including systemd, networking, and log forensics.
Familiarity with at least one robotics middleware or communication stack: ROS 2, DDS, MQTT, zenoh, or gRPC.
Hands-on experience with real devices, including bringing up hardware, integrating vendor protocols, and diagnosing failures on site.
Excellent communication skills and ability to work as part of a team.
Ability to multitask and self-start.
Determination, collaborative ethic, hardworking enthusiasm, personal vision, and genuine interest in robotics and embodied AI.

Nice To Haves

Expertise with unified abstraction layers over multi-vendor hardware and conformance or certification test suites for external parties.
Embedded debugging skills, including I2C, SPI, UART, CAN, and USB, and use of a logic analyzer or oscilloscope.
Edge-AI deployment experience, including quantization, ONNX, TensorRT, or NPU.
Service operations experience, including containers, CI/CD, reverse proxy, or monitoring.
Experience with robot simulation tools such as MuJoCo, Isaac, or Gazebo; reinforcement or imitation learning deployed on a physical robot; motion retargeting; or humanoid whole-body control.
Experience with developer platforms, SDK releases, documentation sites, or app and plugin marketplaces.
Full-stack web development experience, including frontend work with React, TypeScript, or similar; backend services and APIs with Python/FastAPI, Node.js, or similar; and relational databases such as PostgreSQL.
Experience shipping production web products, including accounts and sign-in with OAuth/OIDC, file and package upload/download, usage quotas, cloud deployment such as AWS and object storage, and frontend testing.
Rust or C++ experience; some runtime components are written in Rust/C++.
Comfort working from schematics and datasheets; power, battery management, or thermal experience is a plus.
Open-source contributions, technical writing, or developer-community experience.
A habit of verifying before concluding and a conservative approach to anything that moves real hardware.
A creative curiosity and a sense of humor.

Responsibilities

Develop and validate the robot SDK across humanoid and quadruped robots from multiple vendors.
Own edge-side integration and hardware bring-up, including compute boards, sensors, buses, and on-device inference.
Build the developer platform and tools end to end, including the Skill Store, Console, and content-creation tools.
Develop web frontend and backend services and verify the platform on real robots.
As the roadmap advances, build simulation environments and train, evaluate, and deploy motion policies on real robots.