Senior Embedded Software Engineer

RoboForce • Milpitas, CA

313d

About The Position

We are seeking a highly skilled Senior Embedded Software Engineer to join our team. In this full-time, onsite role, you will contribute to the development of cutting-edge robotic applications, integrating sensors, actuators, motion controllers, and AI models to advance next-generation humanoid robotic systems.

Requirements

• BS or MS degree in EE, ECE, or CS with 5+ years of industrial experience in embedded software development, or PhD with 2+ years of industrial experience.
• Expertise in at least two of the following areas, with a solid foundational knowledge in most of them: Actuator interfacing, control, and parameter tuning; Perception sensor integration (e.g., Cameras, LIDAR) and real-time data processing; Linux cross-compilation toolchain development; Camera data to GPU data pipeline optimization; Production-level PCB design and bring-up; DSP development for sensors; Wireless communication systems including Wi-Fi, LTE, 5G, and IoT system design and development; Hands-on experience with embedded system design utilizing Real-Time Operating Systems (RTOS); Familiarity with industrial microcontrollers such as STM, NXP, PIC, TI, etc.

Nice To Haves

• Experience interfacing with Battery Management Systems (BMS), power monitors, and Power Control Modules (PCM).
• Expertise in Linux Real-Time Kernel development.

Responsibilities

• Develop and maintain software in C++ and Python on Linux and Real-Time Operating Systems (RTOS) platforms.
• Collaborate in software-hardware co-design to ensure seamless integration and performance.
• Design and implement drivers and middleware for communication protocols such as CAN, RS485, EtherCAT, and Ethernet to facilitate real-time robotic control.
• Develop and maintain cross-compilation toolchains.
• Interface with and optimize sensor systems including LIDAR, cameras, radar, IMUs, and force-torque sensors for real-time perception and control.
• Develop and enhance ROS 2 applications for robotic locomotion, manipulation, and AI-driven decision-making processes.
• Optimize data pipelines for perception, SLAM, and robotic intelligence.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 11-50 employees