real-time systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, real-time systems appears in 644 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning real-time systems, with demand share down 1.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about real-time systems
+Is real-time systems in demand in 2026?
Yes. real-time systems appears in 644 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning real-time systems (34.9% of all postings mentioning real-time systems).
+What jobs require real-time systems?
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 real-time systems are Sales Director (20.0% of that role’s postings mention real-time systems), Robotics Software Engineer (10.9% of that role’s postings mention real-time systems), Robotics Engineer (7.0% of that role’s postings mention real-time systems).
+What skills are commonly paired with real-time systems?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), real-time systems most often appears alongside C++, Python, Distributed systems, Linux, embedded systems.
+Where is real-time systems most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring real-time systems are San Francisco, Sunnyvale, New York City, Seattle, San Carlos, according to the Skillenai jobs index.
+How can I keep up with new real-time systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning real-time systems alongside the jobs index. You can subscribe to a daily email digest of new real-time systems content from your Skillenai account.
+Which skills come before and after real-time systems?
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 real-time systems — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around real-time systems
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before real-time systems
Skills after real-time systems
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: Celery | 1 |
| Before: distributed point-of-sale (POS) systems | 1 |
| Before: Windows | 1 |
| Before: Spring Boot | 1 |
| Before: PostgreSQL | 1 |
| Before: RBAC | 1 |
| Before: Linux | 1 |
| Before: DSL | 1 |
| After: PostgreSQL | 2 |
| After: ci/cd | 1 |
| After: product development | 1 |
| After: AWS Lambda | 1 |
| After: Data quality | 1 |
| After: Spring Boot | 1 |
| After: Informatica | 1 |
| After: CAD modeling | 1 |
Roles most likely to require real-time systems
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Sales Director | 7 | 20.0% |
| Robotics Software Engineer | 16 | 10.9% |
| Robotics Engineer | 5 | 7.0% |
| Machine Learning Infrastructure Engineer | 2 | 6.2% |
| Flight Software Engineer | 6 | 5.7% |
| Embedded Software Engineer | 55 | 5.7% |
| Platform Engineering Director | 1 | 5.0% |
| Principal Consultant | 1 | 5.0% |
| Mission Software Engineer | 3 | 4.8% |
| DevOps Developer | 1 | 4.3% |
Roles with the most real-time systems postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 225 | 34.9% |
| Embedded Software Engineer | 55 | 8.5% |
| Engineering Manager | 25 | 3.9% |
| Solutions Architect | 25 | 3.9% |
| Product Manager | 21 | 3.3% |
| Machine Learning Engineer | 18 | 2.8% |
| Robotics Software Engineer | 16 | 2.5% |
| Systems Engineer | 12 | 1.9% |
| Full Stack Engineer | 10 | 1.6% |
| Product Engineer | 9 | 1.4% |
Top companies posting jobs requiring real-time systems
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Databricks | 34 |
| Anduril Industries | 15 |
| Wayve | 14 |
| CLERA | 14 |
| BeaconOS | 13 |
| Applied | 13 |
| Globalpr | 9 |
| SpaceX | 9 |
| Waymo | 9 |
| Anduril | 8 |
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 real-time systems
| Name | Postings | Share |
|---|---|---|
| San Francisco | 44 | 6.8% |
| Sunnyvale | 25 | 3.9% |
| New York City | 18 | 2.8% |
| Seattle | 18 | 2.8% |
| San Carlos | 16 | 2.5% |
| Austin | 11 | 1.7% |
| Munich | 11 | 1.7% |
| London | 10 | 1.6% |
| Woburn | 9 | 1.4% |
Skills commonly paired with real-time systems
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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 real-time systems by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s real-time systems postings by all real-time systems 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: 0.3% to 0.3%. 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 2,596 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
- 8ad92bef469e74b8
- 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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