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

As of 2026-09-28, optimization appears in 1,415 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning optimization, with demand down 41% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,415
Demand vs prior month
down 41% vs the prior 4 weeks
Top role · 17.0% of skill postings
Top hiring metro
London

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Frequently asked questions about optimization

+Is optimization in demand in 2026?

Yes. optimization appears in 1,415 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 41% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning optimization (17.0% of all postings mentioning optimization).

+What jobs require optimization?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning optimization are GNC Engineer (33.3% of that role’s postings mention optimization), Quantitative Research Intern (21.7% of that role’s postings mention optimization), Data Science Consultant (19.4% of that role’s postings mention optimization).

+What skills are commonly paired with optimization?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), optimization most often appears alongside Python, machine learning, SQL, C++, statistics.

+Where is optimization most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring optimization are London, New York City, San Francisco, Waltham, Broomfield, according to the Skillenai jobs index.

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

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

Weekly job postings requiring optimization — last 90 days

Salary distribution

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

Roles most likely to require optimization

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

RolePostings mentioning skill% of role postings mentioning skill
GNC Engineer733.3%
Quantitative Research Intern521.7%
Data Science Consultant1419.4%
Delivery Solutions Architect817.0%
Applied Scientist3815.2%
Machine Learning Manager313.0%
Scientific Software Engineer312.5%
Researcher711.3%
Data Science Director610.5%
Space Systems Engineer49.3%

Roles with the most optimization postings

RolePostings mentioning skillShare of skill postings
Software Engineer24117.0%
Data Scientist22315.8%
Machine Learning Engineer825.8%
Research Scientist553.9%
Product Manager392.8%
Applied Scientist382.7%
Technical Program Manager261.8%
ML Engineer251.8%
Quantitative Researcher151.1%
AI Engineer141.0%

Top metros hiring for optimization

NamePostingsShare
London533.7%
New York City523.7%
San Francisco473.3%
Waltham412.9%
Broomfield402.8%
Mountain View362.5%
Toronto362.5%
Singapore292.0%
Berlin211.5%

Skills commonly paired with optimization

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 optimization by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s optimization postings by all optimization 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).

source
Skillenai jobs index, deduplicated daily
entity_id
100ab3efffdc622d
data_as_of
2026-09-28
window_days
90
Hiring engineers who use optimization?

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