Hiring Software Engineers for Defense Tech: A Startup Founder’s Playbook

In just the first five months of 2026, global venture investment in defense startups reached a record $14.6 billion, more than the whole of 2025 combined. AI and autonomous systems startups attracted a large share of that funding, creating strong demand for specialized engineering talent.

For a founder, hiring software engineers for defense tech is different from hiring for a typical SaaS company. The talent pool is smaller. And some roles carry export-control considerations. At the same time, many defense tech startups find that a large part of their software can be built by engineers outside the United States, as long as the work is structured correctly.

In this guide, we’ll explain how hiring software engineers for defense tech works in practice. You’ll learn how export controls and security clearances affect your decisions, which engineers to hire and when, what they cost across regions, and where defense tech startups find qualified programmers. So, let’s get started!

Let’s take a closer look at the rules that delineate the two layers.

ITAR, EAR, and dual-use technology in the US

Before hiring software engineers for defense tech, founders should understand three important concepts: ITAR, EAR, and dual-use technology.

The International Traffic in Arms Regulations (ITAR) govern defense-related products and technical data listed on the United States Munitions List (USML). Access to ITAR-controlled information is restricted unless authorization or an exemption applies.

The Export Administration Regulations (EAR) govern commercial and dual-use technologies. Dual-use technology refers to products that have both civilian and defense applications. Many software systems used in autonomy, perception, robotics, analytics, and UAV operations fall into this category.

The distinction is important because ITAR and EAR create very different hiring environments.

Founders are often surprised to learn that the US export-control system is more flexible than its reputation suggests. The US State Department reports that commercial ITAR authorizations average roughly 40 to 45 days. The system also includes numerous exemptions for close allies, and specific pathways exist that allow authorized dual-national engineers to work with certain controlled technologies.

Another important concept is the deemed export rule. Under US regulations, providing a foreign national with access to controlled technical information inside the United States can be treated as an export to that person’s home country.

For startups, the practical takeaway is simple. Don’t assume every engineer must be a US citizen. Instead, identify which parts of the product are controlled and structure access accordingly.

How the rules differ for EU defense tech hiring

European defense tech startups operate under a different framework. The European Union regulates dual-use goods and technologies through Regulation (EU) 2021/821. Unlike the United States, the EU doesn’t have a direct equivalent to ITAR, which creates a simpler operating environment for many founders.

Export controls still apply. Sensitive technologies may require licensing before being transferred outside approved jurisdictions. The overall framework, however, is generally less restrictive than ITAR for early-stage software development.

The situation becomes more complex when a European product incorporates US-origin technology. In some cases, US export-control requirements may still apply to portions of the system.

Because of that, founders should evaluate export-control obligations early, before building a team. A short review by export-control counsel is usually less expensive than restructuring engineering workflows later.

Which defense tech roles need local or cleared engineers

Not every defense tech role carries the same compliance requirements. The easiest mistake is treating all engineering positions as if they have identical restrictions. In practice, hiring requirements often depend on the role itself.

Embedded and hardware roles frequently require direct interaction with prototypes, sensors, electronics, flight hardware, or testing facilities. Because of that, many defense tech startups recruit these engineers within their own country.

Machine learning, computer vision, backend systems, and data infrastructure are often more flexible. When properly separated from controlled environments, vetted engineers located in allied countries can perform many of these functions.

Autonomy engineers often work across multiple disciplines. A single project may involve computer vision, control systems, robotics software, and machine learning. As a result, experienced autonomy engineers are among the most valuable defense tech engineers on the market.

Computer vision and machine learning engineers

Computer vision and machine learning engineers help systems understand and interpret the physical world.

In defense tech, perception systems often must operate under conditions that traditional commercial systems were never designed to handle. GPS-denied environments, low-light conditions, electronic interference, adverse weather, and fast-moving targets all create challenges for machine learning models.

Computer vision engineers build systems capable of detecting, tracking, classifying, and understanding objects using camera feeds and other sensor data. Machine learning engineers develop, train, evaluate, and deploy the models that power those capabilities.

Many modern UAV and autonomy platforms rely on multiple sensor types simultaneously. A perception system may combine RGB cameras, thermal imaging, depth sensors, LiDAR, and inertial measurements to improve reliability under difficult operating conditions.

Another growing area is edge AI, which refers to machine learning models running directly on hardware devices. Edge deployment enables drones and autonomous systems to make real-time decisions without relying on continuous connectivity. For startups building perception-heavy products, experienced AI engineers are often among the first technical hires.

Python and backend engineers

Python engineers provide the infrastructure that supports autonomy and machine learning systems.

Founders sometimes view backend development as less important than perception or robotics. In reality, many defense tech products fail to scale because supporting infrastructure receives too little attention. Backend systems handle mission data, telemetry, analytics, model management, user access, fleet coordination, and operational workflows.

Python is particularly common in defense tech because it bridges machine learning research and production software development. Teams frequently use Python across data processing pipelines, AI workflows, simulation environments, automation tooling, and backend services.

Strong backend engineers also play an important role in integrating different technical domains. They connect autonomy systems, perception models, operator interfaces, and business workflows into a unified platform.

Forward-deployed engineers

Finally, forward-deployed engineers (FDEs) are among the most sought-after profiles in defense tech hiring.

Unlike traditional software engineers, forward-deployed engineers spend significant time working directly with users in operational environments. Their role is to understand real-world problems, adapt software quickly, and help bridge the gap between engineering teams and end users.

A forward-deployed engineer may spend one week working alongside drone operators or industrial users, then return to engineering teams with feedback that directly influences product development.

As defense tech startups grow, founders often discover that technical success depends as much on deployment and adoption as it does on software quality. That reality explains why experienced forward-deployed engineers are heavily recruited across the defense tech sector.

Once you know which roles you need, the next question is what defense tech software engineers cost. The clearest way to compare is to look at the same role at the same level of seniority across markets.

The US Bureau of Labor Statistics puts the median annual wage for software developers at about $133,000, and specialized defense tech engineers in embedded systems, autonomy, and machine learning usually earn well above that.

European salaries vary widely. The largest defense tech talent and founder hubs, the United Kingdom, Germany, and France, pay close to US levels for senior engineers. At the same time, Central and Eastern European markets offer the same experience at noticeably lower cost. But the gap usually reflects local labor markets and cost of living, not a difference in skill.

Let’s compare typical annual salaries for experienced software engineers across major defense tech markets.

Source: Gross annual salaries in USD, from national salary surveys and aggregators (US Bureau of Labor Statistics, Glassdoor, IT Jobs Watch, StepStone, Bulldogjob, devjob.ro, DOU.ua, and Djinni), June 2026.

Overall, senior engineering salaries in Poland typically range from about 45% to 55% of comparable US compensation. Romania ranges from roughly 30% to 40%, while Ukraine ranges from approximately 25% to 35%. For software roles that can be performed outside controlled environments, many defense tech startups use this flexibility to expand the talent pool without compromising compliance.

Moving forward, let’s take a look at where to find defense tech software engineers.

Cleared-talent networks and prime alumni

If your engineers need access to classified information or ITAR-controlled technical data, your talent pool becomes significantly smaller.

Many companies recruit from established defense contractors, aerospace manufacturers, government laboratories, military technology programs, or organizations supporting national security projects.

Candidates with active security clearances can shorten onboarding for classified work, but they are also among the most difficult professionals to hire. Large defense organizations often compete aggressively for experienced software engineers with both technical expertise and existing clearances.

For startups, it is important to determine whether a clearance is genuinely required before limiting the candidate pool. Hiring only cleared engineers for work that uncleared engineers could legally do often increases recruiting costs and extends hiring timelines without adding value.

For example, a Secret clearance can take around 138 days, and a Top Secret about 243 days in total. But sponsoring a clearance after hiring is also common, so this route works best when you bring on an uncleared engineer now and begin the paperwork in parallel.

Allied and Eastern European engineers for dual-use work

If your product includes a substantial dual-use software layer, allied international engineers can become an important competitive advantage.

Countries such as Ukraine, Poland, Romania, Estonia, Lithuania, and Czechia have built strong engineering ecosystems around artificial intelligence, robotics, embedded systems, cybersecurity, and distributed software development.

Ukraine alone has more than 200 companies building AI-powered drones and over 70 AI and computer-vision systems already in active use. Developers working in that ecosystem bring practical experience with autonomy and navigation under the hardest possible conditions.

The broader Eastern European defense technology ecosystem is also growing. According to Dealroom’s State of Defense Tech, founders from Eastern European countries account for more than one-fifth of European defense-tech founders.

Poland, Romania, the Baltic states, and Ukraine all offer strong talent in embedded and machine learning. So if you are open to exploring nearshore and offshore talent pools, it’s always useful to check local job boards in your preferred countries, such as Djinni and DOU in Ukraine, No Fluff Jobs and Bulldogjob in Poland, CV Keskus in Estonia, or eJobs in Romania.

Defense tech recruitment vs staff augmentation

One question founders rarely consider early enough is how software engineers should join the company. There are two common approaches: recruitment and staff augmentation.

IT recruitment works best when you want engineers employed directly by your company. You own the employment relationship, the intellectual property, and day-to-day management from the beginning.

For defense tech startups, recruitment is often the preferred model for embedded engineering, hardware development, and roles that require long-term product ownership or regular access to physical equipment. It also works well when engineers must be hired within a specific country to satisfy customer or operational requirements.

In turn, staff augmentation allows experienced engineers to join your team quickly while another company manages employment, payroll, contracts, and administration.

This model is particularly effective for scaling the dual-use software layer. Machine learning engineers, backend developers, computer vision specialists, and platform engineers can begin contributing much sooner than a traditional recruitment process often allows.

The choice isn’t always one or the other. Many successful defense tech startups combine both approaches. For example, we at DOIT recently partnered with an AI-driven UAV navigation startup that recruited local autonomous systems engineers for hardware integration, while augmenting the team with machine learning engineers working on dataset preprocessing.

That approach lets founders protect sensitive development where necessary while expanding the available talent pool for software roles that don’t require physical access.

The wall around defense tech hiring is smaller than it looks from the outside. You do compete with primes and big tech for a specific kind of engineer, and part of the work is genuinely restricted. Even so, most of what early-stage autonomy or safety-tech teams build is dual-use software, and work like that is open to a wide, vetted, and far more affordable talent pool.

Pulled together, the whole playbook of hiring software engineers for defense tech comes down to five steps:

That’s it! We hope this guide gives you a clear path to start hiring software engineers for your defense tech startup. All this, plus a thorough vetting process, will ensure that you have a high-performing team.