About the Role
About The Role
We are seeking a mission-driven Rust Software Engineer to build resilient software systems that enable human-machine-AI teaming and autonomous capabilities for military operators at the tactical edge.
In this role, you will design and implement high-performance systems in Rust that operate in constrained, contested environments. You will contribute across the full system lifecycle — from architecture and hardware integration through simulation, testing, and field deployment.
You will work alongside engineers, researchers, and operators to develop systems that fuse sensing, autonomy, and decision support while ensuring traceable, deterministic builds and reliable deployments in mission-critical environments.
Responsibilities
- Design and implement high-performance, distributed, software systems in Rust, targeting cloud-native as well as resource-constrained and edge computing environments.
- Participate in system architecture, network topologies, hardware part evaluation, and engineering reviews for both existing product revisions and new systems.
- Develop software/models systems that supports human-in-the-loop and human-on-the-loop autonomy workflows for distributed operations.
- Build infrastructure enabling deterministic builds, reproducible environments, and configuration management to ensure traceability and maintainability.
- Implement and maintain systems with over-the-air (OTA) update mechanisms for field-deployed systems - virtual machines, containers, and embedded packages.
- Integrate software with microcontroller peripherals and hardware buses (SPI, I2C, UART, Ethernet, USB, AXI, etc.).
- Develop and execute comprehensive experiment and test strategies including unit testing, Software-in-the-Loop (SITL), Hardware-in-the-Loop (HITL), and functional, end-to-end system/field/scale testing.
- Collaborate with mission heroes and multidisciplinary teams to deploy and sustain systems, supporting integration and various exercises and operational events.
- Optimize systems for performance, reliability, power consumption, and maintainability.
Required Qualifications
- Professional experience in software engineering, embedded systems, or firmware development - delivering production-grade product.
- Strong proficiency in Rust - experience in low-level, embedded or no_std environments a bonus.
- Experience integrating with microcontroller peripherals and hardware interfaces (SPI, I2C, UART, Ethernet, USB, etc.).
- Familiarity with software design, algorithm implementation, debugging/testing/profiling, and performance optimization.
- Working knowledge of distributed systems, data-distribution and network architectures.
- Strong communication skills and ability to collaborate across engineering disciplines.
- U.S. citizenship and ability to obtain and maintain a Top Secret / SCI security clearance.
Preferred Qualifications
- Experience developing autonomy, robotics, or human-machine-AI teaming systems.
- Experience applying machine learning techniques, including supervised/unsupervised learning, clustering, and classification.
- Experience with software-defined radio, MANET, and industrial/robotics communications systems.
- Experience optimizing systems for speed, size, power consumption, and cost.
- Experience contributing to open-source projects or industry standards bodies.
- Experience deploying systems in contested or disconnected edge environments.
What You’ll Work On
- Distributed autonomy platforms that assist operators in decision-making and mission execution.
- Human-machine-AI collaboration systems operating around the globe.
- Real-time sensor integration, edge processing, and data distribution.
Requirements
Rust proficiency
Strong proficiency in Rust is required, especially in low-level or embedded environments.
Embedded systems experience
Professional experience in software engineering, embedded systems, or firmware development is necessary.
Microcontroller integration
Experience integrating with microcontroller peripherals and hardware interfaces is essential.
Software design knowledge
Familiarity with software design, algorithm implementation, and performance optimization is required.
Communication skills
Strong communication skills and the ability to collaborate across engineering disciplines are important.
Nice to Have
Experience developing autonomy, robotics, or human-machine-AI teaming systems is a plus.
Experience applying machine learning techniques, including clustering and classification, is preferred.
Experience contributing to open-source projects or industry standards bodies is beneficial.
Benefits
Security clearance
U.S. citizenship and the ability to obtain and maintain a Top Secret / SCI security clearance.