Embedded Software Engineer
📌San Francisco, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
💰 120000
As an Embedded Engineer on our team, you’ll play a key role in bringing our next-generation robotic platforms to life. You’ll write the firmware that connects sensors, motors, and compute together into cohesive, reliable systems. From writing low-level drivers to optimizing for real-time performance, you’ll work across teams to make sure everything just works—every time.
What You’ll Do
- Build and maintain embedded software for robotic platforms
- Integrate sensors, actuators, and microcontrollers across various communication protocols
- Debug and resolve hardware-software issues in real-time environments
- Optimize embedded systems for performance and reliability on constrained hardware
- Collaborate closely with hardware and high-level software teams
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Document your design, testing, and implementation work for the team
- BS in Electrical Engineering, Computer Engineering, or related field
- Proficiency in C/C++ for embedded systems
- Hands-on experience with ARM Cortex-M or similar microcontrollers
- Solid understanding of Real-Time Operating Systems (e.g., FreeRTOS)
- Familiarity with common hardware interfaces: I2C, SPI, UART, CAN
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Ability to read and interpret circuit schematics and datasheets
- Experience with robotic systems (sensors, motors, kinematics)
- Familiarity with Linux and ROS-based development workflows
- Scripting experience in Python for automation/testing
- Understanding of motor control fundamentals (e.g., PWM, feedback loops)
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Comfortable with embedded debugging tools (e.g., JTAG, logic analyzers)
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
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Experience
🧙♂️ mid-level
-
Salary
💰 120000
-
Skills
-
Industry
-
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