Careers at Scout Ai

The future of defense will be decided by those who field intelligent machines at scale. At Scout, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. It’s not just a leap in autonomy, it’s a force multiplier built for real-world conflict. This mission will ask everything of us: urgency, precision, and relentless work. The Role We’re seeking an AI Engineer Intern for Summer 2027 who is passionate about machine learning, robotics, and the future of autonomous systems. As part of the Fury Team, you'll work alongside leading AI and robotics engineers to prototype and test cutting-edge multimodal models that will become the cognitive engine of our robotic platforms. Your work will run on robots in complex, adversarial environments. Expect to move fast, test ideas aggressively, and break new ground as we create the first robotic foundation model for defense. This 10-week internship is ideal for students looking to apply their research and engineering skills to high-stakes, real-world applications. You’ll gain exposure to the full AI stack, from perception to control, and work on models that run in real world environments. What You’ll Do Support the design, training, and evaluation of state-of-the-art VLA models for robotic systems Help develop and test scalable ML architectures for perception, robotic actuation, multi-agent coordination, and multi-step reasoning Build model experimentation and evaluation pipelines, utilizing synthetic data gen, simulation, and benchmarking environments Translate research insights into code, experiments, and tests for embodied agents Collaborate with mentors and team members on AI model integration and realtime performance tuning Participate in and help plan data collection and model testing on real robotic hardware and simulation platforms Track, digest, and incorporate breakthroughs from the latest literature in VLMs, RL, CV, and autonomous agents Support field trials and mission operations to validate model performance under real-world constraints Qualifications Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, AI, or a related field Strong programming skills in Python, and experience with PyTorch or TensorFlow or JAX Familiarity with deep learning application to at least one of: control policies, visual understanding, language modeling, or reinforcement learning Comfortable navigating open-ended problems and proposing technical solutions Bonus: Experience with robotics or real-time systems Bonus: Experience training models on large-scale compute resources Must be a U.S. Person due to required access to U.S. export controlled information or facilities Why Join Scout Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines Be a core part of a team building the first defense-specific robotic foundation model Collaborate with some of the top engineers in autonomy, AI, and national security See your work deployed on real systems Help define the future of intelligent defense systems Backed by Draper Associates, Booz Allen Ventures, and other top investors Benefits Competitive Cash Compensation Company holiday calendar Catered lunch daily and fully stocked kitchen EV charging Housing stipend assistance (depending on role eligibility)

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work. The Role We’re looking for a Senior Software Engineer who treats the code itself as the product. You’ll join the core software team at Scout AI and work across the systems Fury runs on: the onboard C++ code and core libraries, the cloud infrastructure that trains and evaluates the model, and the simulation and evals framework that tells us whether any of it works. A lot of this job is hardening. As our platform rapidly scales, our senior engineers actively drive architectural stewardship - continually refining abstractions, hardening core systems, and evolving our software foundation to support our accelerated growth. We want someone who can take that on: read a large codebase, understand it, spot the anti-patterns, and restructure it well. The same person should be comfortable building the test and validation systems that let the rest of the team move faster. We aren’t hiring for one narrow specialty. Depending on where you’re strongest, you might spend most of your time onboard C++, in GPU job infrastructure and cloud services, or in simulation and evaluation tooling. What’s common across all of it is a background building frameworks and libraries that other systems depend on, rather than applications on top of someone else’s framework. We use AI coding tools and expect you to as well, but we think of them as a multiplier on skills you already have. You should be able to write, explain, and debug your own code without them. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense. Responsibilities Develop and maintain onboard C++ software and core system libraries Build scalable, low-latency C++ and Python infrastructure for ML workloads Design cloud systems for data storage and GPU job scheduling Build simulation and evaluation pipelines, including synthetic agents, rendering tools, and scenario suites Create evaluation criteria and internal tooling to analyze and compare software release builds Refactor existing codebases to eliminate anti-patterns and improve system architecture Construct data pipelines for sensor calibration and 3D reconstruction workflows Implement automated test and validation frameworks across subsystem engineering teams Qualification Proficient in C++ or Python (either is fine) for core systems, simulation, evaluation, and tooling work Demonstrated experience navigating, auditing, and refactoring large codebases Track record of building shared software frameworks or underlying libraries Ability to write, debug, and explain complex code independently without relying on AI tools Must be a U.S. Person due to required access to U.S. export controlled information or facilities Passion about defense of the United States and its allies May be expected to obtain and hold a U.S. Top Secret security clearance Nice to Have Cloud and infrastructure experience (GPU job scheduling, service deployment) Simulation or evals background Calibration or 3D reconstruction experience Edge or embedded hardware familiarity Why Join Scout Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines Be a core part of a team building the first defense-specific robotic foundation model Collaborate with some of the top engineers in autonomy, AI, and national security See your work deployed on real systems Help define the future of intelligent defense systems Backed by Draper Associates, Booz Allen Ventures, and other top investors Benefits Competitive Cash Compensation Meaningful equity Premium medical, dental, and vision plans with $0 paycheck contribution Competitive PTO and company holiday calendar Catered lunch daily and fully stocked kitchen EV charging Relocation assistance (depending on role eligibility)

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work. The Role We’re looking for a Senior Software Engineer who treats the code itself as the product. You’ll join the core software team at Scout AI and work across the systems Fury runs on: the onboard C++ code and core libraries, the cloud infrastructure that trains and evaluates the model, and the simulation and evals framework that tells us whether any of it works. A lot of this job is hardening. As our platform rapidly scales, our senior engineers actively drive architectural stewardship - continually refining abstractions, hardening core systems, and evolving our software foundation to support our accelerated growth. We want someone who can take that on: read a large codebase, understand it, spot the anti-patterns, and restructure it well. The same person should be comfortable building the test and validation systems that let the rest of the team move faster. We aren’t hiring for one narrow specialty. Depending on where you’re strongest, you might spend most of your time onboard C++, in GPU job infrastructure and cloud services, or in simulation and evaluation tooling. What’s common across all of it is a background building frameworks and libraries that other systems depend on, rather than applications on top of someone else’s framework. We use AI coding tools and expect you to as well, but we think of them as a multiplier on skills you already have. You should be able to write, explain, and debug your own code without them. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense. Responsibilities Develop and maintain onboard C++ software and core system libraries Build scalable, low-latency C++ and Python infrastructure for ML workloads Design cloud systems for data storage and GPU job scheduling Build simulation and evaluation pipelines, including synthetic agents, rendering tools, and scenario suites Create evaluation criteria and internal tooling to analyze and compare software release builds Refactor existing codebases to eliminate anti-patterns and improve system architecture Construct data pipelines for sensor calibration and 3D reconstruction workflows Implement automated test and validation frameworks across subsystem engineering teams Qualification Proficient in C++ or Python (either is fine) for core systems, simulation, evaluation, and tooling work Demonstrated experience navigating, auditing, and refactoring large codebases Track record of building shared software frameworks or underlying libraries Ability to write, debug, and explain complex code independently without relying on AI tools Must be a U.S. Person due to required access to U.S. export controlled information or facilities Passion about defense of the United States and its allies May be expected to obtain and hold a U.S. Top Secret security clearance Nice to Have Cloud and infrastructure experience (GPU job scheduling, service deployment) Simulation or evals background Calibration or 3D reconstruction experience Edge or embedded hardware familiarity Why Join Scout Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines Be a core part of a team building the first defense-specific robotic foundation model Collaborate with some of the top engineers in autonomy, AI, and national security See your work deployed on real systems Help define the future of intelligent defense systems Backed by Draper Associates, Booz Allen Ventures, and other top investors Benefits Competitive Cash Compensation Meaningful equity Premium medical, dental, and vision plans with $0 paycheck contribution Competitive PTO and company holiday calendar Catered lunch daily and fully stocked kitchen EV charging Relocation assistance (depending on role eligibility)