reverse engineering jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, reverse engineering appears in 484 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning reverse engineering, with demand share up 24.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about reverse engineering
+Is reverse engineering in demand in 2026?
Yes. reverse engineering appears in 484 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning reverse engineering (9.5% of all postings mentioning reverse engineering).
+What jobs require reverse engineering?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning reverse engineering are Vulnerability Research Engineer (85.0% of that role’s postings mention reverse engineering), Security Operations Analyst (47.6% of that role’s postings mention reverse engineering), Cyber Software Engineer (42.9% of that role’s postings mention reverse engineering).
+What skills are commonly paired with reverse engineering?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), reverse engineering most often appears alongside Python, Linux, C, exploit development, C++.
+Where is reverse engineering most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring reverse engineering are Annapolis, Herndon, Arlington, Hawthorne, Tel Aviv, according to the Skillenai jobs index.
+How can I keep up with new reverse engineering content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning reverse engineering alongside the jobs index. You can subscribe to a daily email digest of new reverse engineering content from your Skillenai account.
+Which skills come before and after reverse engineering?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring reverse engineering — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around reverse engineering
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before reverse engineering
Skills after reverse engineering
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 2 |
| Before: AutoCAD | 2 |
| Before: ISO 27001 | 2 |
| Before: PCI DSS | 2 |
| Before: anomaly detection | 2 |
| Before: XSS | 1 |
| Before: security audits | 1 |
| Before: cybersecurity risk assessments | 1 |
| After: automation | 2 |
| After: JavaScript | 2 |
| After: penetration tests | 1 |
| After: Salesforce data | 1 |
| After: camera capture | 1 |
| After: Logging | 1 |
| After: Mandrill | 1 |
| After: event-triggered capture | 1 |
Roles most likely to require reverse engineering
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Vulnerability Research Engineer | 17 | 85.0% |
| Security Operations Analyst | 10 | 47.6% |
| Cyber Software Engineer | 12 | 42.9% |
| Security Researcher | 18 | 32.7% |
| AI Security Researcher | 4 | 19.0% |
| Security Research Engineer | 8 | 14.3% |
| Model-Based Systems Engineer | 2 | 10.0% |
| Tech Lead Manager | 2 | 9.1% |
| Penetration Tester | 10 | 8.8% |
| Detection Engineer | 2 | 7.1% |
Roles with the most reverse engineering postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 46 | 9.5% |
| Security Engineer | 30 | 6.2% |
| Security Researcher | 18 | 3.7% |
| Product Security Engineer | 17 | 3.5% |
| Vulnerability Research Engineer | 17 | 3.5% |
| Security Analyst | 13 | 2.7% |
| Cyber Software Engineer | 12 | 2.5% |
| Vulnerability Researcher | 12 | 2.5% |
| Penetration Tester | 10 | 2.1% |
| Security Operations Analyst | 10 | 2.1% |
Top companies posting jobs requiring reverse engineering
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CrowdStrike | 21 |
| Northrop Grumman | 18 |
| OpenBrain | 18 |
| Anduril Industries | 17 |
| SpaceX | 14 |
| Twosixtechnologies | 14 |
| Anduril | 10 |
| Parsons Corporation | 10 |
| CMU | 9 |
| Clarity Innovations | 9 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for reverse engineering
| Name | Postings | Share |
|---|---|---|
| Annapolis | 14 | 2.9% |
| Herndon | 14 | 2.9% |
| Arlington | 9 | 1.9% |
| Hawthorne | 8 | 1.7% |
| Tel Aviv | 8 | 1.7% |
| Cambridge | 7 | 1.4% |
| San Francisco | 7 | 1.4% |
| Chantilly | 6 | 1.2% |
| Costa Mesa | 6 | 1.2% |
Skills commonly paired with reverse engineering
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning reverse engineering by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s reverse engineering postings by all reverse engineering postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.2% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- ca13cb81f260b05c
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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