As an Embedded Software Engineer at MORSE, you will be developing software to support Unmanned Aircraft Systems (UAS) R&D programs. In this role, you will be involved with all aspects of the engineering design cycle from concept through deployment.

Your responsibilities will include integrating novel algorithms with flight software to introduce new capabilities for autonomous aircraft, setting up and performing simulations to support integration efforts, and supporting flight tests to evaluate algorithm performance. You will play a critical role in flight testing by defining test objectives, configuring software on aircraft avionics, and operating ground stations to monitor and control aircraft in flight.

Working alongside experts in sensing and control technologies, you will help integrate cutting-edge capabilities into novel platforms and support testing in both lab and field environments. In this position, you are motivated to focus on the intersection of the user, software, and hardware to ensure that deployed autonomous systems can execute their mission successfully while exceeding the customer's expectations.

Responsibilities

• Develop embedded software for novel fixed wing and multi-rotor unmanned aerial vehicles

• Developing new software functionality for autonomous UAV flight by modifying PX4 autopilot with new software

• Integrating novel autonomy algorithms into UAV flight software, migrating from Python to C/C++ if necessary

• Updating and executing simulation software to test and evaluate novel algorithms

• Supporting the development of preflight planning tools in Python that interface with data and UI tools via web API

• Interface with technology SMEs to integration new algorithms and subsystems into vehicle platforms.

• Support flight tests of UAS and UAVs. Including setup, system checkouts, ground station operation, log retrieval and analysis, and debugging.

• Communicate design status, test results, and suggestions in a timely and efficient manner

Requirements

The ideal candidate will have a strong and diverse background with an emphasis on software development for embedded systems.  Prior experience working on multi-disciplinary projects that exist at the confluence of mechanical, electrical, systems, and software engineering is strongly desired.  Finally, the ideal candidate should be able to decompose complex problems into their constituent components, devise plans for executing each piece of the problem, and follow-through on solution development, test, and verification.

• BS or MS in Software Engineering, Computer Science, Electrical Engineering, or related field

• 5+ years of embedded software development and experience deploying embedded software

• Strong proficiency with C/C++, Python, and Rust 

• Familiarity with PX4, Ardupilot, or similar. Integration into commercial platforms and configuration for flight.

• Experience with RTOS and embedded communication protocols (UART, I2C, CAN, etc)

• Experience with control hardware setup. Examples include telemetry harness setup, radio configuration, power system installation and monitoring

• Strong debugging and troubleshooting skills

• Willingness and desire to travel for, and participate in, field tests up to 10% of each year

• US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance

MORSE is seeking a talented Robotics Software Engineer to join our team. The ideal candidate will have a strong background in embedded systems, navigation algorithms, and autonomy. You will be responsible for architecting systems, implementing custom algorithms, and integrating novel control systems into our aerial vehicles. This role will involve developing and debugging software, configuring systems for flight tests, and supporting the end-to-end development of prototype vehicles. A passion for innovation and the ability to bring novel Unmanned Aerial Systems (UAS) from concept to flight is essential.

Responsibilities:

• Architect systems with multiple microcontrollers, defining component roles and managing requirements.

• Implement custom navigation algorithms and autonomy logic in Rust and C++.

• Analyze vehicle flight logs and debug GNC and autonomy issues

• Develop and write LIDAR sensor drivers in C++ and Rust.

• Handle system configuration, ground station setup, and data management during local and remote flight tests.

• Develop control and path planning algorithms for aerial vehicles and integrate them into the PX4 ROS communications layer.

• Implement drivers for novel control actuation and integrate them into PX4 or other flight controllers.

• Incorporate flight models into the existing Python flight simulator and use the simulator for algorithm development.

• Develop Software-In-the-Loop (SWIL) and Hardware-In-the-Loop (HWIL) testing capabilities.

• Aid in system architecture, selection, and integration of flight controllers, electronics, and sensors.

• Support the development, integration, and testing of prototype vehicles.

• Write, test, and debug drivers such as CANopen actuators and beyond line-of-sight radios in C++ and Python.

• Demonstrate familiarity with low-level embedded programming concepts such as memory management, data structures, algorithms, and bit manipulation.

Requirements:

• U.S. Citizenship required and ability to obtain a U.S. Security Clearance

• Bachelor’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering or a related field. Master’s degree preferred.

• Strong skills in C++, Rust, and Python.

• Experience in navigation algorithms (SLAM, path planning) and autonomy logic.

• Experience with low-level embedded programming and microcontrollers.

• Experience with PX4 or other flight controllers

• Skilled in system architecture, component definition, and integration of prototype vehicles.

• A passion for taking novel UAS from concept to flight!

Your Impact at LILA

As a member of our team in the Physical Sciences division, you will shape the ML- and agent-driven infrastructure that enables Lila’s scientific superintelligence to autonomously construct, execute, and interpret complex physics simulations. Your work will focus on building the core systems that allow AI agents to reason over and control computational experiments, spanning from electronic structure calculations to surrogate-driven atomistic modeling, and beyond. Your work will directly influence how autonomous computational processes will explore chemical and materials landscapes with unprecedented autonomy and robustness.

What You'll Be Building

• Architect and implement agentic frameworks that support dynamic, multi-stage simulation workflows for scientific tasks
• Develop pipelines enabling agents to autonomously plan, schedule, execute, and interpret computational tasks at scale
• Build integration layers and APIs that connect ML models, large-scale simulation engines, databases, and heterogeneous compute platforms.
• Work with AI researchers to productionize agent behaviors, including tool-use strategies, simulation-aware decision loops, and adaptive task planning.
• Improve the robustness, modularity, performance, and reproducibility of agent-driven computational workflows; build internal tooling for debugging, observability, and validation.

What You’ll Need to Succeed

• MS/PhD or equivalent experience in Computer Science, ML/AI, Scientific Computing, or a related technical field.
• Strong experience building ML-driven pipelines, workflow systems, or tool-use frameworks, ideally for complex or scientific applications.
• Proficiency in Python and ML ecosystems; experience with one or more compiled languages (e.g., C++, Rust, Julia) is beneficial.
• Familiarity with large-scale scientific or engineering software, including integrating external tools into automated computational workflows.
• Experience with distributed systems, HPC environments, cloud platforms, or accelerator-based computing.
• Deep understanding of modern ML architectures and their deployment in production systems (e.g., GNNs, transformers, diffusion models, multimodal or tool-using models).
• Strong engineering fundamentals: reproducibility, testing, modular design, CI/CD, and scalable ML operations.

Bonus Points For

• Experience developing or integrating agentic frameworks, autonomous ML pipelines, or multi-step tool-using agents, particularly for scientific applications
• Background in large-scale simulation frameworks, scientific workflow orchestration, or automated computational experiment platforms.
• Contributions to open-source ML infrastructure, workflow engines, agent frameworks, or scientific software ecosystems.
• Familiarity with data-centric engineering practices: streaming systems, provenance tracking, distributed metadata services, or large-scale data orchestration.
• Experience with workflow orchestration systems (e.g., Flyte, Prefect, Airflow) and container orchestration (Kubernetes).
• Familiarity with materials science simulation codes (VASP, LAMMPS) or workflow frameworks (atomate, aiida) is a plus but not required.
• Expertise in advanced ML techniques relevant to agentic reasoning (planning models, self-improving systems, multi-tool agents, RLHF/RLAIF workflows).

We are seeking an experienced Embedded Software Engineer (Rust) to join our Platform team (folks looking after the spacecraft). The successful candidate will play a crucial role in developing software for our satellite systems, contributing to the expansion and enhancement of our space-based data collection capabilities.

Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years!

What You’ll Do as a Spacecraft Embedded Software Engineer:

• Develop daemons in Rust that interface with embedded systems using low- level protocols
• Implement communication interfaces between embedded systems and higher-level processes
• Integrate C code for specific hardware interfaces
• Contribute to the design and implementation of fault-tolerant systems
• Collaborate closely with the Electrical Engineering team to ensure optimal software-hardware integration
• Create and maintain comprehensive documentation for APIs and system architectures
• Contribute to the continuous improvement of our development processes and tools

Key Skills:

• Proven experience in embedded systems development using Rust
• Knowledge of or adaptability to Linux-based development (Ubuntu) 
• Proficiency in integrating C code with Rust projects
• Experience with real-time communication protocols
• Experience with inter-process communication protocols
• Understanding of electronics and ability to communicate effectively with hardware engineers
• Excellent documentation skills

Preferred Skills: 

• Familiarity with safety-critical embedded systems in any industry
• Experience with Yocto for embedded systems
• Knowledge of version control systems, particularly Git and GitHub
• Familiarity with CI/CD pipelines
• Experience with project management tools
• Proficiency in scripting languages like Python and Bash
• Understanding of cybersecurity principles for embedded systems
• Knowledge of telemetry and command systems
• Experience with formal verification methods for critical software components
• Experience in implementing Fault Detection, Isolation, and Recovery (FDIR) systems for embedded applications

Tools and Technologies: Rust, C | Scripting languages (Bash/Python) | Ubuntu (development environment)  | Yocto (target environment) | Version control using Git

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1

We are seeking an experienced Embedded Software Engineer (Rust) to join our Platform team (folks looking after the spacecraft). The successful candidate will play a crucial role in developing software for our satellite systems, contributing to the expansion and enhancement of our space-based data collection capabilities.

Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years!

What You’ll Do as a Spacecraft Embedded Software Engineer:

• Develop daemons in Rust that interface with embedded systems using low- level protocols
• Implement communication interfaces between embedded systems and higher-level processes
• Integrate C code for specific hardware interfaces
• Contribute to the design and implementation of fault-tolerant systems
• Collaborate closely with the Electrical Engineering team to ensure optimal software-hardware integration
• Create and maintain comprehensive documentation for APIs and system architectures
• Contribute to the continuous improvement of our development processes and tools

Key Skills:

• Proven experience in embedded systems development using Rust
• Knowledge of or adaptability to Linux-based development (Ubuntu) 
• Proficiency in integrating C code with Rust projects
• Experience with real-time communication protocols
• Experience with inter-process communication protocols
• Understanding of electronics and ability to communicate effectively with hardware engineers
• Excellent documentation skills

Preferred Skills: 

• Familiarity with safety-critical embedded systems in any industry
• Experience with Yocto for embedded systems
• Knowledge of version control systems, particularly Git and GitHub
• Familiarity with CI/CD pipelines
• Experience with project management tools
• Proficiency in scripting languages like Python and Bash
• Understanding of cybersecurity principles for embedded systems
• Knowledge of telemetry and command systems
• Experience with formal verification methods for critical software components
• Experience in implementing Fault Detection, Isolation, and Recovery (FDIR) systems for embedded applications

Tools and Technologies: Rust, C | Scripting languages (Bash/Python) | Ubuntu (development environment)  | Yocto (target environment) | Version control using Git

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1

We are seeking an experienced Embedded Software Engineer to join our Platform team supporting Spacecraft Operations. The successful candidate will play a crucial role in supporting other disciplines by focusing on the embedded software aspects of our satellite systems. The Platform team interfaces directly with many engineering groups to conduct R&D, design, manufacturing, and operations activities, ultimately ensuring all current and future spacecraft systems satisfy their mission.

Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years!

What You’ll Do as a Senior Embedded Software Engineer:

• Design, implement and test, deploy and maintain embedded firmware
• Collaborate with other engineering functions on scoping, architecture and system design
• Resolve on-orbit and on-ground issues related to embedded systems
• Implement, optimize and maintain various serial protocols
• Design and develop interface tools to improve abstraction between the embedded system and other satellite components 
• Debug and resolve complex embedded systems issues in a timely manner
• Write and maintain technical documentation

Key Skills: 

• Bachelor's degree in Computer Science, Electrical Engineering, or related field
• Mastery of Embedded C programming language
• Proficiency with scripting languages like Python and Bash
• Extensive experience with real-time operating systems (RTOS), specifically FreeRTOS
• Familiarity with serial protocols and implementations
• Strong problem-solving skills, particularly in debugging embedded systems
• Experience with version control systems (e.g., Git)
• Experience developing on Linux (Ubuntu)
• A base level of mathematical knowledge (engineering mathematic or similar)
• Excellent communication and teamwork abilities

Preferred Skills: 

• Experience with space systems or satellite technology
• Familiarity working to coding standards and using static analysis tools
• Experience writing Rust for resource constrained environments (embedded Linux)
• Experience with embedded Linux
• Knowledge of control systems and algorithms

Tools and Technologies:

• FreeRTOS for real-time operating system implementation
• GNU ARM Embedded Toolchain for code compilation
• GDB for debugging, complemented by extensive use of serial and/or CAN debugging
• Experience with debugging techniques for systems without JTAG access, particularly for remote issue resolution
• Familiarity with manual testing procedures for embedded interface code
• Experience working with Arm Cortex Microcontrollers
• Version control using Git

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1