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Software Engineer

Eaton

Southfield (MI)

Remote

USD 108,000 - 160,000

Full time

Today
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Job summary

Join a leading company as a Software Engineer, where you will design and maintain manufacturing applications while integrating AI/ML solutions. This role offers the opportunity to work remotely and contribute to innovative projects in power management.

Qualifications

  • 5 years of professional software development experience.
  • 3 years in AI, data science, or machine learning.

Responsibilities

  • Design, develop, and maintain manufacturing applications.
  • Collaborate with teams to deliver data-driven solutions.
  • Implement AI/ML solutions and best practices.

Skills

Python
Java
SQL
C++
TypeScript
JavaScript
AI
Machine Learning
Data Science
Data Analytics

Education

Bachelor’s degree

Tools

Palantir

Job description

Join to apply for the Software Engineer role at Eaton

Eaton’s Corporate Sector division is currently seeking a Software Engineer. Full remote work option will be considered for well-qualified candidates currently residing anywhere in the USA. Preferred locations: Beachwood, Ohio; Southfield, MI; or Menomonee Falls, WI.

The expected annual salary range for this role is $108,749.97 - $159,499.96. Please note that this salary is a general guideline and is based on candidate skills, experience, qualifications, market, and business considerations.

What You’ll Do

Eaton is an intelligent power management company committed to improving quality of life and protecting the environment. We operate sustainably and help our customers manage power today and into the future, focusing on electrification and digitalization to accelerate renewable energy transition and solve power management challenges.

Job Description

As a Software Engineer, your responsibilities will include designing, developing, and maintaining manufacturing applications, as well as integrating AI/ML solutions. You will implement robust data transformation workflows for high performance and scalability, collaborate with cross-functional teams to gather requirements, and deliver data-driven solutions. Additionally, you will help set best practices for data integration, security, and governance in Palantir-based manufacturing applications.

Job Responsibilities
  • Design, develop, and maintain manufacturing applications and integration solutions.
  • Write clean, efficient, and maintainable code using various programming languages and frameworks.
  • Collaborate with cross-functional teams to gather requirements and provide data-driven solutions.
  • Monitor and optimize software performance to meet user expectations.
  • Establish best practices for data management, security, and governance in Palantir environments.
  • Troubleshoot and resolve issues with Palantir data platforms and systems.
  • Support and maintain the full lifecycle of Palantir's data tools and services.
  • Ensure compliance with data protection protocols.
  • Stay updated on AI, machine learning, and deep learning advancements and evaluate their applications.
  • Develop testing and validation strategies for Generative AI models in production.
  • Anticipate business needs and guide development priorities for non-technical stakeholders.
  • Opportunity to build machine learning models.
Qualifications
Basic Qualification:
  • Bachelor’s degree from an accredited institution.
  • Minimum of 5 years of professional software development experience.
  • Minimum of 3 years of experience in AI, data science, machine learning engineering, or data analytics.
  • Minimum of 3 years implementing, testing, and deploying AI and machine learning solutions.
  • Authorized to work in the U.S. without sponsorship now or in the future.
  • Ability to work independently and understand all aspects of the Software Development Lifecycle.
  • Good team player, self-motivated, and able to work under pressure and tight deadlines.
Preferred Qualifications
  • Proficiency in Python, Java, SQL, C++, TypeScript/JavaScript, or similar.
  • Familiarity with Generative AI models and their strengths and weaknesses.
  • Understanding of Data Integration technologies.
  • Knowledge of API-First architecture.
  • Experience with Agile and DevOps methodologies.
  • Ability to adapt to changing business needs and handle ambiguity.
  • Strong communication skills to explain complex concepts to non-technical stakeholders.
  • Experience with manufacturing applications is an advantage.
Additional Information

We make what matters work. At Eaton, creativity, invention, and discovery are encouraged. We offer a supportive environment where you can reach your full potential and contribute to meaningful projects.

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