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

As of 2026-09-30, failure analysis appears in 343 job postings indexed by Skillenai over the past 90 days — Test Engineer has the most postings mentioning failure analysis, with demand share down 1.0% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
343
Demand vs prior month
down 1.0% vs the prior 4 weeks
Top role · 12.0% of skill postings
Top hiring metro
Austin

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Frequently asked questions about failure analysis

+Is failure analysis in demand in 2026?

Yes. failure analysis appears in 343 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Test Engineer accounts for the most postings mentioning failure analysis (12.0% of all postings mentioning failure analysis).

+What jobs require failure analysis?

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 failure analysis are Systems Integration and Test Engineer (25.0% of that role’s postings mention failure analysis), Algorithm Engineer (14.7% of that role’s postings mention failure analysis), Fluid Systems Engineer (13.0% of that role’s postings mention failure analysis).

+What skills are commonly paired with failure analysis?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), failure analysis most often appears alongside Python, Root cause analysis, test automation, debugging, Data analysis.

+Where is failure analysis most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring failure analysis are Austin, San Francisco, San Jose, Boston, Santa Clara, according to the Skillenai jobs index.

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

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

+Which skills come before and after failure analysis?

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 failure analysis — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around failure analysis

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before failure analysis

Before failure analysisISO 9001 → failure analysis: 1 observed employer moves with this skill pairJMP → failure analysis: 1 observed employer moves with this skill paircustomer requirements → failure analysis: 1 observed employer moves with this skill pairNikon FE Dry ACE → failure analysis: 1 observed employer moves with this skill pairsql → failure analysis: 1 observed employer moves with this skill pairSoftware Defined Radio → failure analysis: 1 observed employer moves with this skill pairStrategic business relationships → failure analysis: 1 observed employer moves with this skill pairAutonomous Vehicles → failure analysis: 1 observed employer moves with this skill pairfailureanalysisISO 9001: 1 movesISO 90011 movesJMP: 1 movesJMP1 movescustomer requirements: 1 movescustomerrequirements1 movesNikon FE Dry ACE: 1 movesNikon FE Dry ACE1 movessql: 1 movessql1 movesSoftware Defined Radio: 1 movesSoftware DefinedRadio1 movesStrategic business relationships: 1 movesStrategic businessrelationships1 movesAutonomous Vehicles: 1 movesAutonomousVehicles1 moves

Skills after failure analysis

After failure analysisfailure analysis → Accessibility testing: 1 observed employer moves with this skill pairfailure analysis → VBA: 1 observed employer moves with this skill pairfailure analysis → Spreadsheets: 1 observed employer moves with this skill pairfailure analysis → software and hardware integration: 1 observed employer moves with this skill pairfailure analysis → C#: 1 observed employer moves with this skill pairfailure analysis → surface science: 1 observed employer moves with this skill pairfailure analysis → packing corrosion condition test: 1 observed employer moves with this skill pairfailure analysis → Nanotechnology: 1 observed employer moves with this skill pairfailureanalysisAccessibility testing: 1 movesAccessibilitytesting1 movesVBA: 1 movesVBA1 movesSpreadsheets: 1 movesSpreadsheets1 movessoftware and hardware integration: 1 movessoftware andhardwareintegration1 movesC#: 1 movesC#1 movessurface science: 1 movessurface science1 movespacking corrosion condition test: 1 movespacking corrosioncondition test1 movesNanotechnology: 1 movesNanotechnology1 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: ISO 90011
Before: JMP1
Before: customer requirements1
Before: Nikon FE Dry ACE1
Before: sql1
Before: Software Defined Radio1
Before: Strategic business relationships1
Before: Autonomous Vehicles1
After: Accessibility testing1
After: VBA1
After: Spreadsheets1
After: software and hardware integration1
After: C#1
After: surface science1
After: packing corrosion condition test1
After: Nanotechnology1

Roles most likely to require failure analysis

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

RolePostings mentioning skill% of role postings mentioning skill
Systems Integration and Test Engineer625.0%
Algorithm Engineer514.7%
Fluid Systems Engineer313.0%
Mechanical Test Engineer310.3%
Manufacturing Test Engineer910.0%
Quality Engineering Manager28.0%
Software Engineer in Test (SDET)37.9%
Hardware Test Engineer56.2%
Operations Manager36.0%
Machine Learning Research Engineer25.9%

Roles with the most failure analysis postings

RolePostings mentioning skillShare of skill postings
Test Engineer4112.0%
Quality Assurance Engineer236.7%
Systems Engineer154.4%
Technical Program Manager102.9%
Manufacturing Test Engineer92.6%
Software Engineer92.6%
Applied AI Engineer82.3%
AI Engineer72.0%
Machine Learning Engineer61.7%
Product Manager61.7%

Top companies posting jobs requiring failure analysis

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

Top companies posting jobs requiring failure analysis
CompanyPostings · 90 days
Renesas18
Flex15
Jabil11
NVIDIA11
Skydio10
SpaceX9
Anduril Industries9
Etched8
Beacon Biosignals7
Advanced Micro Devices Inc.6

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 failure analysis

NamePostingsShare
Austin205.8%
San Francisco123.5%
San Jose113.2%
Boston102.9%
Santa Clara102.9%
Long Beach82.3%
Mountain View72.0%
New York City72.0%
Sunnyvale72.0%

Skills commonly paired with failure analysis

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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 failure analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s failure analysis postings by all failure analysis 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
6b7673891b5d2c86
data_as_of
2026-09-30
window_days
90
Hiring engineers who use failure analysis?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index