Salary insights

Salary at KUAILU SOFTWARE (SINGAPORE) PTE. LTD. in Singapore

Market pay levels based on 7 offers with salary.

Browse vacancies

Recalculated from open vacancies where the employer states pay.

Median13 857 $Half of offers pay more, half pay less
Average13 857 $Arithmetic mean of all offers
Lower quartile13 857 $25% of offers pay less
Upper quartile13 857 $25% of offers pay more

How pay is distributed

The band covers the middle half of the market (25th–75th percentile); the line marks the median.

Lower quartile13 857 $
Median13 857 $
Upper quartile13 857 $

What the numbers mean

  • Half of all offers fall between 13 857 $ and 13 857 $.
  • Every fourth offer pays more than 13 857 $.
  • The average is close to the median, so offers are spread evenly.
  • The sample is small (7 offers), so treat the numbers as a rough guide.

Compare your salary

Check in one step whether your pay is above or below the market for this selection.

Vacancies with salary

All matching vacancies
KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Singapore ·

Head of AI Compute & GPU Infrastructure

$10,000 – $20,000

Job Responsibilities Data Center & Deployment and Project Management: Coordinate data center readiness, including power, cooling, networking, and rack capacity, and oversee GPU server insta…

Full time6+ yearsOn-siteSingapore
Apply
KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Singapore ·

AI Chief Scientist

$8,000 – $20,000

We are building a proprietary LLM-powered Super AI Agent Platform and are seeking an AI Chief Scientist to lead our Foundation Model / LLM technology roadmap and model training strategy. Wi…

Full time3–6 yearsOn-siteSingapore
Apply
KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Singapore ·

Senior Agentic Reinforcement Learning (RL) Engineer

$10,000 – $20,000

We are looking for a Senior or Head Agentic Reinforcement Learning (RL) to lead the development of next-generation AI agents capable of autonomously executing complex, long-horizon tasks ac…

Full time1–3 yearsOn-siteSingapore
Apply
KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Singapore ·

Large Language Model (LLM) Evaluation Engineer

$6,000 – $12,000

Job Responsibilities Build and maintain an automated LLM evaluation pipeline covering multiple dimensions, including general capabilities, Agent capabilities, and persona/role-playing. The…

Full time1–3 yearsOn-siteSingapore
Apply
KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Singapore ·

Data Center Project Manager (GPU Computing)

$5,000 – $10,000

Key Responsibilities Lead the full lifecycle delivery of GPU computing data center projects, covering resource contracting, equipment delivery, rack deployment, platform commissioning, test…

Full time3–6 yearsOn-siteSingapore
Apply
KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Singapore ·

GPU Data Center Sales / Business Development

$5,000 – $8,000

About the Role We are looking for a results-driven GPU Data Center Sales / Business Development professional to develop and grow our GPU computing business. This role will focus on selling…

Full time1–3 yearsOn-siteSingapore
Apply

Frequently asked questions

Why show the median instead of the average?

The median (13 857 $) is the middle of the market: half of the offers pay more and half pay less. Unlike the average (13 857 $), it is not skewed by a handful of very high salaries.

What does the typical range mean?

From 13 857 $ to 13 857 $ is the middle half of all offers — the 25th to 75th percentile. A quarter of vacancies pay below 13 857 $ and a quarter above 13 857 $.

Where does the data come from?

From 7 open vacancies with a stated salary that Finder collects from public sources. Numbers are recalculated as the selection changes.

How do I tell whether I am paid fairly?

Compare your pay with the median and the quartiles: near 13 857 $ is the market level, above 13 857 $ is the strong quarter, below 13 857 $ is a reason to negotiate. Use the “Compare my salary” button on this page.

How we calculate salaries

Short methodology and the data behind these numbers.

  1. 1We collect offersOnly vacancies from open sources where the employer states pay are used.
  2. 2We normalise themA salary range is reduced to one comparable value per vacancy.
  3. 3We compute percentilesMedian, quartiles and the average are calculated from at least 5 offers; otherwise the wider country market is shown.
  4. 4We refresh the numbersStatistics are recomputed as new vacancies appear and closed ones drop out.

Figures are pay as published by employers: taxes, bonuses and seniority inside a grade are not accounted for.