--- title: 'Embedded Software Engineer - Edge ML/Low SWaP Systems - R138 at Expedition Technology' canonical: 'https://feeny.ai/job/embedded-software-engineer-edge-ml-low-swap-systems-r138-expedition-technology-1h8bkykca7f6' type: 'job' last_seen: '2026-09-05' --- # Embedded Software Engineer - Edge ML/Low SWaP Systems - R138 at Expedition Technology - **Company:** Expedition Technology - **Location:** Herndon, VA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-02 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.gem.com/expedition-technology/am9icG9zdDrZywfLseiH-QsNWrEQ-Kp7 ## Job description At Expedition Technology (EXP), we solve the nation’s toughest defense and intelligence challenges through advanced analytics, machine learning, and software engineering. Our teams work at the intersection of mission and innovation, delivering impactful capabilities in real-world environments. We are seeking an Embedded Software Engineer to support the deployment of advanced data processing and machine learning solutions to low size, weight, and power (SWaP) systems. This role focuses on optimizing and deploying algorithms to GPU-enabled embedded platforms (e.g., NVIDIA Jetson) for real-time applications. What You’ll Do: - Deploy and optimize computer vision, signal processing, or data processing algorithms on embedded hardware - Improve real-time, low-latency performance of ML pipelines on constrained systems - Profile CPU/GPU performance and identify system bottlenecks - Collaborate on algorithm selection based on hardware constraints - Containerize and deploy solutions using tools like Docker - Work in Linux-based environments and contribute to production-quality code - Partner with ML and software engineers to transition models into operational environments Required Qualifications: - United States Citizenship – for US Government security clearance eligibility - Active Top Secret/SCI (TS/SCI) security clearance - Experience deploying software or algorithms to embedded or edge systems - Proficiency in Python or ability to learn quickly - Experience working in Linux environments - Experience optimizing performance in constrained environments - Strong problem-solving skills across software and hardware domains Preferred Qualifications: - Experience with NVIDIA Jetson or similar GPU-enabled embedded platforms - Experience with video or signal processing pipelines - Familiarity with CUDA and CPU/GPU profiling - Experience with Docker or containerization - Experience with ML frameworks such as PyTorch or ONNX - Prior experience working on ML-focused teams Additional Information This role is focused on embedded systems with GPU acceleration rather than traditional microcontroller or FPGA-centric work. Candidates should be comfortable working across the full lifecycle of algorithm development and deployment in performance-sensitive environments. ## About Expedition Technology ## Company Overview - **One-liner**: Expedition Technology (EXP) applies AI/ML, signal processing, and computer vision to deliver signals intelligence and multi-INT solutions for the U.S. defense and intelligence communities. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Herndon, Virginia, USA - **Founded**: 2013 - **Founders**: Not publicly available ## Core Business - **Primary Industries**: Defense & National Security, Artificial Intelligence, Advanced Signal Processing, Intelligence, Surveillance, and Reconnaissance (ISR/C4ISR) - **Target Customers**: U.S. Department of Defense, Intelligence Community (IC), and prime defense contractors (B2G/Enterprise) - **Mission or Purpose Statement**: Build innovative, advanced signal, image, and multi-INT solutions to solve customers’ most complex, demanding, and urgent C4ISR challenges, preserving national safety. ## Products & Services EXP is a research and development (R&D) services and product-oriented company. They do not market off-the-shelf consumer products; they develop custom, mission-focused solutions: - **Signal Processing Solutions**: Combining traditional signal processing with machine learning algorithms to process gigasamples of data at the edge and in the cloud. - **Computer Vision Solutions**: Detecting and tracking real-world objects across multiple sensing modalities, capable of performing with scarce training data. - **Deep Learning Solutions**: Researching and deploying novel neural networks for real-time, raw sensor data challenges. - **Embedded Systems Solutions**: Implementing FPGA and GPU subsystems for image and signal data classification. - **Web / Cloud / DevOps**: Building robust, secure solutions using Docker, Kubernetes, and CloudFormation with a focus on CI/CD and automation. ## Market Standing - **Valuation**: Not publicly available (private, non-VC-backed entity). - **Key Metric**: Over a decade of sustained operations (founded 2013) with a strong reputation in the defense tech sector. - **Notable Clients/Partners**: U.S. Department of Defense, Intelligence Community (IC), and prime defense contractors. The company’s work is classified and unclassified. - **Growth Signals**: Active hiring in multiple technical areas (Computer Vision, Deep Learning, Embedded Systems, Cloud) indicates consistent demand and growth. The company states their skills are “in high demand.” ## Competitive Advantages - **Deep Domain Expertise**: Specialized in a highly technical intersection of AI/ML, signal processing, and national security, creating a high barrier to entry. - **Research-Driven Culture**: Actively performs applied research to advance the state of the art, differentiating them from pure implementation contractors. - **Unique Organizational Model**: Operates as a “team of teams” using coaches instead of traditional managers, designed to foster autonomy, continuous learning, and rapid reconfiguration for specific project goals. - **Product-Oriented Mindset**: Unlike many government-services firms, EXP focuses on seeing ideas through to actualized, deployable products. ## Strategic Focus - **Continuous Research & Innovation**: Keeping pace with and pushing the boundaries of AI/ML, sensor processing, and edge computing to solve urgent national security problems. - **Talent Retention & Development**: Investing heavily in a unique coaching and benefits model to attract and keep top-tier technical talent in a competitive defense-tech labor market. - **Agile, Client-Centric Delivery**: Maintaining flexibility in project planning to meet specific, unique mission requirements of the DoD and IC. ## Why Work Here - **Unique Management Structure**: Replaces traditional “bosses” with “coaches” who advocate for career progression and connect employees to learning opportunities. Employees choose their own coach annually. - **Exceptional Benefits & Flexibility**: - **Individual Benefit Account (IBA)**: Employees receive a pool of funds to allocate as they wish across healthcare, PTO, and a bonus. Unused IBA dollars are paid out at year-end. - **Flexible Cash PTO**: Can take up to 45 days of PTO per calendar year and can cash out unused time. - **Retirement**: Up to 12% contribution to a 401(k) (employer match/profit sharing) plus student loan repayment plans. - **Parental Leave**: 12 weeks paid for primary caregivers; 2 weeks for secondary. - **Learning Culture**: Autonomy to guide careers with support from coaches. Benefits include tuition assistance, conference attendance, and internal “brown bag” discussions. - **Mission-Driven Work**: The opportunity to work on cutting-edge technology that directly impacts national security. - **Work Policy**: Likely on-site or hybrid, given the classified nature of much of the work (Herndon, VA location). - **Commitment to Accessibility**: Explicit accommodations policy for candidates with disabilities. ## Sources 1. [exptechinc.com](https://www.exptechinc.com/) 2. [exptechinc.com](https://www.exptechinc.com/careers/) 3. [exptechinc.com](https://www.exptechinc.com/about-us/) 4. [exptechinc.com](https://www.exptechinc.com/exp-why-were-different-benefits/) 5. [exptechinc.com](https://www.exptechinc.com/expedition-technology-why-were-different-continuous-learning-career-progression-and-coaching/) 6. [jobs.gem.com](https://jobs.gem.com/expedition-technology) ## Other roles at Expedition Technology - [Field Deployment Engineer - R144](https://feeny.ai/job/field-deployment-engineer-r144-expedition-technology-herndon-r9wy4nn7xe4h) — Herndon, VA - [DevOps/Software Engineer - R143](https://feeny.ai/job/devops-software-engineer-r143-expedition-technology-herndon-cw3w2mec2bvt) — Herndon, VA - [Senior Software Engineer - R142](https://feeny.ai/job/senior-software-engineer-r142-expedition-technology-herndon-kwc980ejfrqh) — Herndon, VA - [Software/Machine Learning Engineer - Agentic AI Systems - R139](https://feeny.ai/job/software-machine-learning-engineer-agentic-ai-systems-r139-expedition-sjyz438s8584) — Herndon, VA - [Computer Vision Engineer - R136](https://feeny.ai/job/computer-vision-engineer-r136-expedition-technology-herndon-tc3c5zz6r5jz) — Herndon, VA - [Full Stack Software Engineer - R134](https://feeny.ai/job/full-stack-software-engineer-r134-expedition-technology-herndon-e3127hctzstf) — Herndon, VA - [DevOps Engineer - R132](https://feeny.ai/job/devops-engineer-r132-expedition-technology-herndon-3jjadh8b3s76) — Herndon, VA - [DevSecOps Engineer - R131](https://feeny.ai/job/devsecops-engineer-r131-expedition-technology-herndon-x9d4r1gx9kb4) — Herndon, VA - [Software Engineer - Back End - R129](https://feeny.ai/job/software-engineer-back-end-r129-expedition-technology-herndon-kx006pngpx64) — Herndon, VA - [Software Engineer: Front End - R128](https://feeny.ai/job/software-engineer-front-end-r128-expedition-technology-herndon-d3wjnbr6sap3) — Herndon, VA