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

As of 2026-09-30, radar appears in 402 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning radar, with demand share up 6.3% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
402
Demand vs prior month
up 6.3% vs the prior 4 weeks
Top role · 17.9% of skill postings
Top hiring metro
Mountain View

Which roles want radar?

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

Prepare to discuss radar in your interview

We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used radar.

Join the mock interview waitlist →AI or human interviews. Coming soon.

Frequently asked questions about radar

+Is radar in demand in 2026?

Yes. radar appears in 402 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning radar (17.9% of all postings mentioning radar).

+What jobs require radar?

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 radar are Robotics Engineer (18.3% of that role’s postings mention radar), Embedded Software Test Engineer (13.0% of that role’s postings mention radar), Hardware Engineer (12.5% of that role’s postings mention radar).

+What skills are commonly paired with radar?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), radar most often appears alongside lidar, Python, C++, sensor fusion, MATLAB.

+Where is radar most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring radar are Mountain View, Sunnyvale, Costa Mesa, Ann Arbor, Washington, according to the Skillenai jobs index.

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

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

+Which skills come before and after radar?

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 radar — last 90 days

Salary distribution

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

Career paths around radar

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before radar

Before radarMYSQL → radar: 2 observed employer moves with this skill pairreal-time → radar: 1 observed employer moves with this skill pairAWS (SageMaker, EC2, Lambda, S3) → radar: 1 observed employer moves with this skill pairscikit-learn → radar: 1 observed employer moves with this skill pairtest cases → radar: 1 observed employer moves with this skill pairSnow Pipe → radar: 1 observed employer moves with this skill pairAlgorithm → radar: 1 observed employer moves with this skill paircross-functional teams → radar: 1 observed employer moves with this skill pairradarMYSQL: 2 movesMYSQL2 movesreal-time: 1 movesreal-time1 movesAWS (SageMaker, EC2, Lambda, S3): 1 movesAWS (SageMaker,EC2, Lambda, S3)1 movesscikit-learn: 1 movesscikit-learn1 movestest cases: 1 movestest cases1 movesSnow Pipe: 1 movesSnow Pipe1 movesAlgorithm: 1 movesAlgorithm1 movescross-functional teams: 1 movescross-functionalteams1 moves

Skills after radar

After radarradar → Flat Files: 1 observed employer moves with this skill pairradar → Digital customer experience optimization: 1 observed employer moves with this skill pairradar → Qualification efforts: 1 observed employer moves with this skill pairradar → User Defined Functions: 1 observed employer moves with this skill pairradar → prepare reports: 1 observed employer moves with this skill pairradar → process variability analysis: 1 observed employer moves with this skill pairradar → sql: 1 observed employer moves with this skill pairradar → cursors: 1 observed employer moves with this skill pairradarFlat Files: 1 movesFlat Files1 movesDigital customer experience optimization: 1 movesDigital customerexperienceoptimization1 movesQualification efforts: 1 movesQualificationefforts1 movesUser Defined Functions: 1 movesUser DefinedFunctions1 movesprepare reports: 1 movesprepare reports1 movesprocess variability analysis: 1 movesprocessvariabilityanalysis1 movessql: 1 movessql1 movescursors: 1 movescursors1 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: MYSQL2
Before: real-time1
Before: AWS (SageMaker, EC2, Lambda, S3)1
Before: scikit-learn1
Before: test cases1
Before: Snow Pipe1
Before: Algorithm1
Before: cross-functional teams1
After: Flat Files1
After: Digital customer experience optimization1
After: Qualification efforts1
After: User Defined Functions1
After: prepare reports1
After: process variability analysis1
After: sql1
After: cursors1

Roles most likely to require radar

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

RolePostings mentioning skill% of role postings mentioning skill
Robotics Engineer1318.3%
Embedded Software Test Engineer313.0%
Hardware Engineer512.5%
Model-Based Systems Engineer210.0%
Robotics Software Engineer128.2%
Flight Test Engineer67.4%
RF Systems Engineer36.7%
Mission Software Engineer46.3%
Machine Learning Researcher25.3%
Pricing Analyst25.3%

Roles with the most radar postings

RolePostings mentioning skillShare of skill postings
Software Engineer7217.9%
Systems Engineer6115.2%
Machine Learning Engineer153.7%
Robotics Engineer133.2%
ML Engineer123.0%
Robotics Software Engineer123.0%
Product Manager82.0%
Embedded Software Engineer71.7%
Program Manager71.7%
Triage Associate71.7%

Top companies posting jobs requiring radar

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

Top companies posting jobs requiring radar
CompanyPostings · 90 days
Anduril Industries47
Anduril25
Northrop Grumman22
Applied19
Waymo19
Globalpr12
Torcrobotics11
Wayve11
Applied Intuition10
Latitude10

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 radar

NamePostingsShare
Mountain View215.2%
Sunnyvale215.2%
Costa Mesa164.0%
Ann Arbor153.7%
Washington143.5%
Long Beach123.0%
Palo Alto102.5%
Waltham102.5%
Austin92.2%

Skills commonly paired with radar

Get a daily email digest of new radar content

Skillenai indexes news articles, blog posts, and research papers that mention radar. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).

Explore related pages

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 radar by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s radar postings by all radar 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
0d2ca2d44d1e570e
data_as_of
2026-09-30
window_days
90
Hiring engineers who use radar?

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.

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