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Software & AI Application Engineer

Trane Technologies

Software & AI Application Engineer

Trane Technologies

Shanghai, Shanghai, China

·

On-site

·

Full-time

·

1mo ago

At Trane TechnologiesTM  and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Job Summary: 
Be part of a global engineering team that designs, develops, integrates and supports software and AI-enabled applications for controls products and digital solutions. This individual works closely with cross‑functional engineering teams, leveraging modern software development practices, AI/ML technologies, automation frameworks, and cloud-native tools to accelerate innovation, improve product intelligence, and deliver high‑quality customer experiences.
Responsibilities: 
·       Design, implement, and maintain software applications, tools, and services using modern programming frameworks.

·       Collaborate with software, controls platform, and other engineers to enable seamless system integration.

·       Integrate AI capabilities into existing or new applications (e.g. predictive analytics, intelligent control algorithms).

·       Update and improve existing applications for better performance and efficiency.

·       Stay updated with the latest developments and advancements in AI technologies.

·       Communicate with global team about control functions, software designs and development status.
Qualifications:
Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science or relevant field. PhD is a plus.

  • Graduate in 2026.
  • Strong academic achievement is preferred.

·       Experience with programming languages such as Python, C/C++, Java, JavaScript/TypeScript, or similar.

·       Foundational understanding of AI/ML concepts and frameworks.

·       Basic proficiency with designing, developing, testing, and deploying AI-driven applications.

·       Basic proficiency with test automation frameworks (PyTest, Robot Framework, Selenium, etc.).

·       Knowledge of domain-specific applications (e.g., IoT, HVAC controls, industrial automation) is a plus.
Key Competencies: 
   Good English reading, writing and speaking skill

  • Excellent verbal and written communication skills.
  • Excellent technical, analytical, and problem-solving skills.
  • Attention to detail.
  • Self-motivated team player with strong desire to learn.
  • Ability to work effectively in a variety of geographical regions and cultures across the globe.
    We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

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About Trane Technologies

Trane Technologies

Trane Technologies develops energy efficient indoor environments for commercial and residential applications.

10,001+

Employees

Dublin

Headquarters

Reviews

3.7

10 reviews

Work Life Balance

3.5

Compensation

3.8

Culture

4.1

Career

4.2

Management

3.4

72%

Recommend to a Friend

Pros

Great benefits and good PTO

Good learning opportunities and ability to grow

Great people to work with and supportive teams

Cons

Poor management oversight and harsh policies

Attendance policies and points system issues

Compensation below market average

Salary Ranges

39 data points

Mid/L4

Senior/L5

Mid/L4 · Control Algorithms Engineer

1 reports

$135,733

total / year

Base

$104,410

Stock

-

Bonus

-

$135,733

$135,733

Interview Experience

46 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

34%

Experience

Positive 63%

Neutral 21%

Negative 16%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving