fuzzing jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-11-04, fuzzing appears in 206 job postings indexed by Skillenai over the past 90 days — Security Engineer has the most postings mentioning fuzzing, with demand share up 17.0% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-04

Postings · last 90 days
206
Demand vs prior month
up 17.0% vs the prior 4 weeks
Top role · 18.4% of skill postings
Top hiring metro
Herndon

Which roles want fuzzing?

Upload your resume and Skillenai will show which roles your fuzzing experience fits, which skills you already cover, and what is missing.

Frequently asked questions about fuzzing

+Is fuzzing in demand in 2026?

Yes. fuzzing appears in 206 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Security Engineer accounts for the most postings mentioning fuzzing (18.4% of all postings mentioning fuzzing).

+What jobs require fuzzing?

According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning fuzzing are Vulnerability Researcher (55.6% of that role’s postings mention fuzzing), Vulnerability Research Engineer (19.2% of that role’s postings mention fuzzing), Embedded Security Engineer (12.9% of that role’s postings mention fuzzing).

+What skills are commonly paired with fuzzing?

Across job postings indexed by Skillenai (90 days ending 2026-11-04), fuzzing most often appears alongside Python, threat modeling, C++, C, penetration testing.

+Where is fuzzing most in demand?

As of 2026-11-04, the metro areas posting the most jobs requiring fuzzing are Herndon, Ho Chi Minh City, Bengaluru, Arlington, San Francisco, according to the Skillenai jobs index.

+How can I keep up with new fuzzing content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning fuzzing alongside the jobs index. You can subscribe to a daily email digest of new fuzzing content from your Skillenai account.

+Which skills come before and after fuzzing?

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 fuzzing — last 90 days

Career paths around fuzzing

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before fuzzing

Before fuzzingGit → fuzzing: 2 observed employer moves with this skill pairmssql → fuzzing: 1 observed employer moves with this skill pairpython → fuzzing: 1 observed employer moves with this skill pairreverse shells → fuzzing: 1 observed employer moves with this skill pairWindows → fuzzing: 1 observed employer moves with this skill pairPostgreSQL → fuzzing: 1 observed employer moves with this skill pairLinux → fuzzing: 1 observed employer moves with this skill pairMetasploit → fuzzing: 1 observed employer moves with this skill pairfuzzingGit: 2 movesGit2 movesmssql: 1 movesmssql1 movespython: 1 movespython1 movesreverse shells: 1 movesreverse shells1 movesWindows: 1 movesWindows1 movesPostgreSQL: 1 movesPostgreSQL1 movesLinux: 1 movesLinux1 movesMetasploit: 1 movesMetasploit1 moves

Skills after fuzzing

After fuzzingfuzzing → AI-powered orchestration: 1 observed employer moves with this skill pairfuzzing → LaTeX: 1 observed employer moves with this skill pairfuzzing → scikit-learn: 1 observed employer moves with this skill pairfuzzing → ci/cd: 1 observed employer moves with this skill pairfuzzing → boosting: 1 observed employer moves with this skill pairfuzzing → python: 1 observed employer moves with this skill pairfuzzing → machine learning algorithms: 1 observed employer moves with this skill pairfuzzing → AWS security hardening: 1 observed employer moves with this skill pairfuzzingAI-powered orchestration: 1 movesAI-poweredorchestration1 movesLaTeX: 1 movesLaTeX1 movesscikit-learn: 1 movesscikit-learn1 movesci/cd: 1 movesci/cd1 movesboosting: 1 movesboosting1 movespython: 1 movespython1 movesmachine learning algorithms: 1 movesmachine learningalgorithms1 movesAWS security hardening: 1 movesAWS securityhardening1 moves
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.

Observed connections and move counts
ConnectionMoves
Before: Git2
Before: mssql1
Before: python1
Before: reverse shells1
Before: Windows1
Before: PostgreSQL1
Before: Linux1
Before: Metasploit1
After: AI-powered orchestration1
After: LaTeX1
After: scikit-learn1
After: ci/cd1
After: boosting1
After: python1
After: machine learning algorithms1
After: AWS security hardening1

Roles most likely to require fuzzing

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Vulnerability Researcher1555.6%
Vulnerability Research Engineer519.2%
Embedded Security Engineer412.9%
Security Researcher910.8%
Security Software Engineer44.6%
Software Security Engineer23.8%
Product Security Engineer133.6%
AI Security Researcher13.3%
Software Systems Engineer22.6%
SDET32.0%

Roles with the most fuzzing postings

RolePostings mentioning skillShare of skill postings
Security Engineer3818.4%
Software Engineer3215.5%
Vulnerability Researcher157.3%
Product Security Engineer136.3%
Security Researcher94.4%
Research Engineer73.4%
Vulnerability Research Engineer52.4%
Application Security Engineer41.9%
Embedded Security Engineer41.9%
Security Software Engineer41.9%

Top companies posting jobs requiring fuzzing

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring fuzzing
CompanyPostings · 90 days
NVIDIA12
Twosixtechnologies11
Bosch9
Anthropic7
General Motors6
Clarity Innovations5
Northrop Grumman5
Netflix5
Two Six Technologies5
Galaxy4

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 fuzzing

NamePostingsShare
Herndon83.9%
Ho Chi Minh City83.9%
Bengaluru73.4%
Arlington62.9%
San Francisco52.4%
Fort Meade41.9%
New York City41.9%
Cedar Rapids31.5%
Dublin31.5%

Skills commonly paired with fuzzing

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-04. 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 fuzzing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s fuzzing postings by all fuzzing 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: 0.1% to 0.1%. 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 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (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
1f1dfdcf702a4896
data_as_of
2026-11-04
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index