Defense Hiring Just Beat Software. Your Boolean Misses 824 Profiles.
Aerospace/Defense tech postings jumped 30% MoM in April 2026. Here is why standard LinkedIn Booleans miss the FPGA, radar, and Simulink talent driving it.
Aerospace and Defense was the second fastest-growing tech-hiring industry in April 2026, up 30% month-over-month, just behind Finance at 34%. The catch: the skills driving that surge (FPGA, Signal Processing, MATLAB/Simulink, Radar) live almost entirely outside the "software engineer + Python" Boolean that most sourcing leads still run on LinkedIn. If your pipeline still looks like 2023, you are searching the wrong map.
What April's Dice report actually said
The May 5, 2026 Dice Tech Job Report put total tech postings up 21% year-over-year, the strongest YoY gain of 2026 so far. Inside that number, the industry mix shifted hard. Finance/Banking led with +34% MoM. Aerospace/Defense came in at +30% MoM and +60% YoY, the highest YoY of any industry tracked. Consulting (+46% YoY) and Software (+43% YoY) trail it.
But the more telling slice is the skills list. April's fastest-growing skills were Systems Development (+90%), Applied Mathematics (+76%), Signal Processing (+56%), FPGA (+51%), Simulations (+44%), and MATLAB (+42%). That is not a web-app stack. That is the engineering substrate of radar, electronic warfare, GN&C, and autonomous sensing.
The geography confirms it
Eight of the top 10 states posted MoM gains. New Jersey led at +35%, Pennsylvania at +21%, Maryland at +15%. Metros: Philadelphia +36%, Chicago +15%, San Francisco +13%, NYC +12%, Washington D.C. +11%. Trace those numbers on a map and you are looking at the Lockheed, Northrop, L3Harris, and APL corridors. The Bay Area is on the list, but it is no longer the center of gravity for the marginal hire this quarter.
Why Boolean LinkedIn searches miss this pool
Defense and aerospace engineers do not call themselves "software engineers." They call themselves FPGA Verification Engineer, RF/DSP Engineer, Radar Systems Engineer, Embedded Firmware Engineer, GN&C Engineer, Modeling and Simulation Engineer. A Boolean like ("software engineer" OR "backend engineer") AND (Python OR Go) returns roughly zero of the candidates driving the +30% MoM number.
The Dice skill list is itself the dictionary you should be searching. FPGA, Simulink, Signal Processing, MATLAB, VHDL, SystemVerilog, Verilog, GNU Radio, RFSoC, Xilinx, Microchip RT PolarFire. Those tokens live in the body of a resume, often nowhere in the headline.
This is the friction we built Refolk for. You type "senior FPGA verification engineers with SystemVerilog and UVM, open to Maryland or remote, not currently at a prime" and you get a ranked shortlist from across LinkedIn, GitHub, and the open web. The tool reads the resume body, the GitHub repos, the IEEE author lists, not just the title field.
The 824-profile reality
Our internal index returns roughly 824 active U.S. profiles whose current title matches "FPGA Engineer," "Signal Processing Engineer," or "Radar Engineer" exactly. Against thousands of open postings at primes plus dual-use firms, the demand-to-supply ratio is the story.
Look at that employer list again. Apple is the largest single employer of FPGA and DSP talent in our index, ahead of Raytheon. Meta is on the list. Optiver is on the list. The primes are not really competing with each other for this talent. They are competing with Cupertino's silicon teams and Chicago HFT desks running Optiver, Wolverine, and Jump Trading FPGA stacks. That is the cross-over the JD writers at Northrop have not yet internalized.
The four sourcing mistakes everyone is making right now
1. Filtering on "active TS/SCI"
About half the JDs that read "active TS/SCI required" are actually clearance-sponsorship roles whose recruiters copy-pasted bad language from a 2019 template. Anduril, Shield AI, Saronic, and Skydio routinely sponsor clearances post-hire. Filtering LinkedIn on "TS/SCI" excludes more than 70% of viable candidates, including most of the dual-use pool that the +30% number is built on.
DCSA reports the 90th percentile at around nine months for a full Top Secret investigation, but Interim TS can clear in 30 to 45 days for clean candidates. If your client can accept an interim, you have a real candidate pool on day 45.
2. Treating defense and dual-use as one rhythm
Traditional primes hire at much larger absolute volumes, but their pace is set by program cycles measured in years. Dual-use venture-backed firms like Anduril and Shield AI hire by quarterly series cadence. Different rhythm, different comp, different candidates respond to different outreach.
A senior cleared software engineer at a prime makes $165K to $205K base in 2026. The same engineer at Anduril, uncleared, can pull $300K-plus all-in if the equity is right. If your outreach leads with base, you lose the dual-use pool. If it leads with equity, you lose the prime-loyal pool. The pitch has to fork.
The primes are not competing with each other. They are competing with Cupertino and Chicago HFT desks.
3. Searching the wrong geography
Sourcing leads who filter on "San Francisco Bay Area" or "New York City" are missing the actual surge. New Jersey, Pennsylvania, Maryland, and the Philadelphia and DC metros are where the postings landed in April. Lockheed Chelmsford and Owego are both actively posting through April and May. RTX's Collins Aerospace is putting $26.5 million into its Largo, Florida facility, expected to create more than 100 high-tech engineering jobs in radar, satellite, secure communications, and testing work.
If your sourcing tool cannot ask "FPGA engineers within commuting distance of Owego, NY or open to relocation from Austin," you are leaving the most receptive part of the pool out of your shortlist.
4. Ignoring the non-LinkedIn surface
The FPGA recruiter on LinkedIn alone is sourcing 824 profiles. The FPGA recruiter who also reads GitHub for Xilinx and Verilog repos, scans IEEE Aerospace and Electronic Systems Society author lists, watches the MathWorks Simulink user community, and pulls speaker lists from GNU Radio Conference and the DEF CON Aerospace Village finds a materially larger pool. ClearanceJobs is also more relevant after DHI acquired Point Solutions Group in March 2026 to extend its government-contracting recruitment stack.
This is where plain-English search across LinkedIn, GitHub, and the open web stops being a nice-to-have. The candidate who maintains a personal GNU Radio fork or has three papers on radar pulse compression is exactly the right candidate, and they are invisible to title-string Boolean.
The programs driving the demand
Knowing why the demand exists makes the outreach better.
Maven Smart System. In March 2026, Deputy Secretary of Defense Steve Feinberg signed a memo making Palantir's Maven Smart System a Pentagon program of record. Maven now has a protected multiyear line item. That funding flows into every contractor and subcontractor doing sensor-fusion and ISR work.
Replicator and Replicator 2. The DoD's Replicator initiative is fielding thousands of all-domain attritable autonomous systems, with Replicator 2 specifically targeting counter-UAS. That is the demand pull behind Anduril, Shield AI, Saronic, Skydio, Aalyria, Higher Ground, and Viasat hiring.
Rad-hardened space FPGAs. A surge in FPGAs used in space is driving demand for rad-tolerant and rad-hardened FPGAs, with Microchip RT PolarFire and the QuickLogic/Honeywell SRH collaboration as the visible programs. The FPGA market itself reports a shortage of skilled engineers who can design, program, and optimize complex FPGA architectures. The talent gap is structural, not cyclical.
DoD's 2026 budget. The 2026 request totaled $961 billion, including $113 billion from the 2025 reconciliation act. Adjusted for inflation, this is one of the largest defense budgets in 50 years. That is the macro tailwind under all of it.
A sourcing playbook for the next 60 days
If you are an engineering leader or an agency lead with an FPGA, radar, or Simulink req to fill before Q3, here is the compressed version.
Build the skill dictionary first, not the title list. Start from Dice's April skills: FPGA, Signal Processing, MATLAB, Simulink, Applied Mathematics, Simulations. Add the toolchain tokens: Vivado, Vitis, Quartus, Cadence, ModelSim, UVM, RFSoC. Search the resume body, not the headline.
Fork the outreach by rhythm. Prime-loyal candidates respond to program names (Aegis, F-35, NGAD, GMD). Dual-use-curious candidates respond to mission framing plus equity numbers. Apple and HFT candidates respond to "your FPGA work, but the bits move missiles instead of orders." Three different first messages.
Drop the "active clearance" filter, keep the "clearable" filter. Ask whether the candidate is U.S. person eligible and has nothing in their background that would fail an SF-86. That is the real filter. Cleared engineer sourcing that screens too tight on the first pass leaves the dual-use pool on the table.
Use the geography signal as a positive, not a negative. A candidate in Huntsville, Melbourne FL, Linthicum, or Cherry Hill is more likely to take a prime offer than a Bay Area candidate with the same resume. Weight your shortlist accordingly.
Watch the cross-over employers. Apple silicon teams, Meta's networking hardware group, Optiver, Wolverine, Hudson River, Jump. These are the cross-over employers where defense recruiters will find their next FPGA hire. A query in Refolk like "FPGA engineers at Apple or HFT firms with 5+ years SystemVerilog, who have public radar or RF projects" surfaces exactly that intersection. That is what makes aerospace tech hiring 2026 different from 2023: the talent is hiding in plain sight at commercial employers, and the dictionary is in the JD skills section, not the title field.
The +30% MoM number is not a blip. It is a structural shift in where the marginal tech hire is happening. The recruiters who update their Boolean by August will fill those reqs. The ones still searching "software engineer + Python + secret clearance" in October will not.
FAQ
Why are defense engineers so hard to find with a normal LinkedIn search?
Because they do not use "software engineer" as their title. Defense and aerospace engineers self-identify with the artifact they build: FPGA Verification Engineer, RF/DSP Engineer, Radar Systems Engineer, GN&C Engineer, Embedded Firmware Engineer. A Boolean built on generic software titles misses essentially the entire pool. The skills section of the resume is the real index. That is also why FPGA recruiter LinkedIn searches built on title strings consistently under-deliver.
Should I require active TS/SCI clearance on day one?
Usually no. Roughly half of "active TS/SCI required" JDs are actually clearance-sponsorship roles with copy-pasted language. Anduril, Shield AI, Saronic, and Skydio sponsor post-hire. Interim TS can come in 30 to 45 days for clean candidates. Filter on "clearable" (U.S. person eligible, clean background) on first pass, and confirm with the hiring manager whether day-one clearance is genuinely required.
Where is the talent actually located?
Follow April's geography. New Jersey (+35% MoM), Pennsylvania (+21%), Maryland (+15%), and metros Philadelphia (+36%) and Washington D.C. (+11%) map onto the Lockheed, Northrop, L3Harris, and APL corridors. RTX's Collins Aerospace just announced 100-plus high-tech jobs in Largo, Florida around radar and secure communications. The Bay Area still matters for dual-use venture firms, but the marginal hire in this surge is on the East Coast.
How is Refolk different from a LinkedIn Recruiter seat for this?
LinkedIn Recruiter is excellent for title-based queries on a polished profile pool. For radar signal processing hiring or sourcing defense engineers, the relevant signal lives in resume bodies, GitHub repos, IEEE papers, and conference speaker lists. Refolk lets you describe the person in plain English ("ex-HFT FPGA engineers open to Anduril-class autonomy work") and gets a ranked shortlist across LinkedIn, GitHub, and the open web in one query, without writing a Boolean.