Embedded Systems & Robotics Engineer
📌Fairfax, United States 🇺🇸
⏱︎ full-time
🧙♂️ senior
hybrid
MAG is staffing for an Embedded Systems & Robotics Engineer who will bridge the critical hardware-software boundary for autonomous tactical systems. You'll modify and enhance systems and solutions that operate independently in GPS-denied environments, from underwater vehicles to aerial swarms, while ensuring reliability in the harshest conditions.
This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested.
We Are Seeking Candidates Who Live In Proximity To Our Corporate HQ In Fairfax, VA Primarily But Will Entertain Persons Living Near Our Satellite Offices In
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC
Primary Responsibilities
Essential Duties and Responsibilities
- Enhance or augment embedded software for autonomous vehicles (UGV, UAV, UUV, USV) to extend baseline capabilities
- Implement sensor fusion for autonomous navigation (LIDAR, cameras, IMU, sonar)
- Design control systems for robotic platforms and actuators
- Create hardware abstraction layers following MOSA/SOSA standards
- Develop digital twin simulations for hardware-in-the-loop testing
- Implement real-time operating systems (RTOS) and safety-critical software
- Develop and verify safety-critical software in accordance with established standards and best practices
- Design and fabricate custom hardware solutions using 3D printing and rapid prototyping
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Apply Model-Based Systems Engineering (MBSE) practices using SysML/AADL
- Lead field testing and validation of autonomous systems
- Support deployment and troubleshooting in operational environments
- Create hardware test fixtures and validation procedures
- Document MOSA compliance and interface specifications
-
Train operators on system capabilities and limitations
Experience:
Required Qualifications
- 5+ years embedded systems and/or robotics development experience
- Strong proficiency in C and C++ for real-time for resource-constrained systems
- Expert proficiency and practical knowledge of Python for scripting, tooling, and rapid prototyping
- Experience with ROS/ROS2 for robotics development
- Hands-on experience with autonomous vehicle platforms
- Proficiency with CAD tools and 3D printing/fabrication
- Understanding of control theory and path planning algorithms
- Experience with hardware communication protocols (CAN, I2C, SPI, UART)
- Familiarity with MOSA/SOSA standards and open architectures
-
Experience with simulation tools (Gazebo, MATLAB/Simulink)
- Experience with NVIDIA Jetson platforms for autonomous systems
- Military/defense robotics experience (ROS-M, JAUS)
- Hands-on experience with RTOS (e.g., FreeRTOS, VxWorks) and/or embedded Linux (Yocto, Buildroot)
- Knowledge of digital twin technologies and real-time simulation
- Familiarity with DO-178C, DO-254, or similar safety standards
- Experience with swarm robotics and distributed control
- Understanding of SLAM and computer vision for navigation
- Experience with environmental testing (MIL-STD-810)
-
Pilot's license or experience with FAA Part 107 operations
-
Bachelor's degree in EE, CE, ME, CS or related field
- Must be eligible for Secret security clearance
-
US Citizenship required
What Makes You Successful Here
- You can go from CAD design to functioning prototype in days
- You understand autonomy from sensors to behavior planning
- You apply systems engineering rigor to rapid prototyping
- You're comfortable with both lab development and field operations
- You see MOSA as an enabler, not a constraint
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
🧙♂️ senior
-
Working model
hybrid
-
Skills
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Industry
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