failure analysis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, failure analysis appears in 417 job postings indexed by Skillenai over the past 90 days — Test Engineer has the most postings mentioning failure analysis, with demand share up 11.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want failure analysis?
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Frequently asked questions about failure analysis
+Is failure analysis in demand in 2026?
Yes. failure analysis appears in 417 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Test Engineer accounts for the most postings mentioning failure analysis (20.6% of all postings mentioning failure analysis).
+What jobs require failure analysis?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning failure analysis are Reliability Engineer (20.0% of that role’s postings mention failure analysis), Systems Integration and Test Engineer (15.6% of that role’s postings mention failure analysis), Quality Engineering Manager (11.8% 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 2026-10-29), failure analysis most often appears alongside Python, Root cause analysis, test automation, Data analysis, Statistical analysis.
+Where is failure analysis most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring failure analysis are Austin, San Francisco, Santa Clara, San Jose, Sunnyvale, 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
Skills after failure analysis
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: 3D modeling | 2 |
| Before: ISO 9001 | 1 |
| Before: Quality management system | 1 |
| Before: selective solder | 1 |
| Before: DSP | 1 |
| Before: microstructure analysis | 1 |
| Before: RoHS | 1 |
| Before: firmware | 1 |
| After: root cause analysis | 2 |
| After: AutoCAD | 2 |
| After: Quality Assurance | 2 |
| After: Fortran | 1 |
| After: Spreadsheets | 1 |
| After: software and hardware integration | 1 |
| After: Milsoft WindMil | 1 |
| After: dSPACE | 1 |
Roles most likely to require failure analysis
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Reliability Engineer | 5 | 20.0% |
| Systems Integration and Test Engineer | 5 | 15.6% |
| Quality Engineering Manager | 4 | 11.8% |
| Software Engineer in Test (SDET) | 3 | 7.9% |
| Algorithm Engineer | 3 | 7.5% |
| Hardware Test Engineer | 6 | 7.1% |
| Manufacturing Test Engineer | 6 | 7.1% |
| Quality Assurance Engineer | 30 | 6.8% |
| Test Engineer | 86 | 6.0% |
| Technical Lead Manager | 2 | 5.7% |
Roles with the most failure analysis postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Test Engineer | 86 | 20.6% |
| Quality Assurance Engineer | 30 | 7.2% |
| Systems Engineer | 20 | 4.8% |
| Software Engineer | 11 | 2.6% |
| Technical Program Manager | 9 | 2.2% |
| Engineering Manager | 7 | 1.7% |
| Machine Learning Engineer | 7 | 1.7% |
| Product Manager | 7 | 1.7% |
| Hardware Test Engineer | 6 | 1.4% |
| Manufacturing Test Engineer | 6 | 1.4% |
Top companies posting jobs requiring failure analysis
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Renesas | 29 |
| Flex | 26 |
| Jabil | 18 |
| NVIDIA | 12 |
| Northrop Grumman | 9 |
| Skydio | 9 |
| Anduril Industries | 9 |
| Actalent | 8 |
| Cisco | 8 |
| True Anomaly | 7 |
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
| Name | Postings | Share |
|---|---|---|
| Austin | 23 | 5.5% |
| San Francisco | 14 | 3.4% |
| Santa Clara | 12 | 2.9% |
| San Jose | 11 | 2.6% |
| Sunnyvale | 11 | 2.6% |
| Bayan Lepas | 9 | 2.2% |
| Guadalajara | 8 | 1.9% |
| Kulim | 7 | 1.7% |
| New York City | 7 | 1.7% |
Skills commonly paired with failure analysis
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 2026-10-29. 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
- 2026-10-29
- window_days
- 90