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Internship Slack Software Engineer Jobs in Michigan

Worky

Software Engineer

Auburn Hills, MI · On-site

$70 - $100/hr

Academic, internship, capstone project, or personal project experience in software development is acceptable. * Experience in one or more programming languages such as Python, C++, C#, Java, or ...

Valeo

Software Engineer Intern

Troy, MI · On-site

As a Software Engineer Intern, you will help shape the future of Software-Defined Vehicles (SDV ... In this internship, you will gain hands-on experience by contributing to the design of advanced ...

Nutshell

Jr. Full-Stack Software Engineer

Ann Arbor, MI · On-site

$90 - $140/hr

Part‑time, volunteer, or internship programming experience * Experience in web application ... Passionate about web/software development and continuously learning * Committed to delivering ...

Faurecia

SW Engineer ( Diagnostic/CAN )

Northville, MI · On-site

Occasionally mentor software developers, engineers, and interns * Review code and unit tests of other software developers and engineers on the team * Provide product definition and high-level design ...

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Internship Slack Software Engineer information

What does an internship Slack software engineer do?

An Internship Slack Software Engineer works as a software engineering intern at Slack, contributing to the development and maintenance of Slack’s messaging platform and related features. Interns typically collaborate with experienced engineers, write and test code, debug issues, and participate in team meetings. The internship provides hands-on experience with modern technologies, exposure to best engineering practices, and opportunities to learn about Slack’s product development processes. Interns may also work on projects that improve the Slack user experience or internal tools. The role is designed to help students gain practical skills and prepare for a full-time software engineering career.

What types of projects does an internship Slack software engineer typically work on, and how are their contributions integrated with the broader engineering team?

Internship Slack Software Engineers often participate in real-world projects such as developing new features, fixing bugs, or improving internal tools that directly impact Slack’s product and user experience. Interns are paired with mentors and collaborate closely with experienced engineers through code reviews, stand-ups, and team meetings. Their work is regularly reviewed, and meaningful contributions are merged into production, ensuring interns gain hands-on experience while adding value to the team. This collaborative environment helps interns quickly learn industry best practices and build a professional network within the company.

What are the key skills and qualifications needed to thrive as an internship Slack software engineer, and why are they important?

To thrive as an Internship Slack Software Engineer, you need a solid understanding of computer science fundamentals, proficiency in programming languages like JavaScript or Python, and progress toward a relevant degree such as Computer Science. Familiarity with version control systems (e.g., Git), cloud platforms, and collaboration tools commonly used in software development is expected. Strong problem-solving abilities, effective communication, and a willingness to learn help interns stand out in this collaborative environment. These skills and qualities are essential for delivering high-quality code, efficiently contributing to team projects, and adapting to Slack’s fast-paced tech culture.

What is the difference between Internship Slack Software Engineer vs Entry-Level Slack Software Engineer?

AspectInternship Slack Software EngineerEntry-Level Slack Software Engineer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's degree in Computer Science or related field, with some work experience or projects
Work EnvironmentPart-time or temporary, often in a mentorship setting, focused on learning and support tasksFull-time, collaborative team environment, involved in development and coding tasks
Employer & Industry UsageUsed by companies like Slack for internship programs to evaluate future hiresEntry-level position in tech companies, including Slack, for new graduates or those transitioning into software engineering

The main difference is that an Internship Slack Software Engineer is a temporary, learning-focused role often held by students or recent graduates, while an Entry-Level Slack Software Engineer is a full-time position requiring some foundational experience. Internships are designed to provide exposure and training, whereas entry-level roles involve contributing to ongoing projects and gaining professional experience.

What are the most commonly searched types of Slack Software Engineer jobs in Michigan?

The most popular types of Slack Software Engineer jobs in Michigan are:

What are popular job titles related to Internship Slack Software Engineer jobs in Michigan?

For Internship Slack Software Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Internship Slack Software Engineer jobs in Michigan look for?

The top searched job categories for Internship Slack Software Engineer jobs in Michigan are:

What cities in Michigan are hiring for Internship Slack Software Engineer jobs?

Cities in Michigan with the most Internship Slack Software Engineer job openings:

Internship Slack Software Engineer jobs near you

Software Engineer

Worky

Auburn Hills, MI • On-site

$70 - $100/hr

Other

Posted 5 days ago

Job description

Description

Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will contribute to the design, implementation, testing, and integration of software products while collaborating with multidisciplinary engineering teams. The engineer is expected to continuously develop technical skills and actively participate in innovation initiatives supporting automotive and intelligent mobility applications.

  • Develop software applications and services using modern programming languages and development frameworks.
  • Support the development and deployment of Generative AI solutions, including AI assistants, intelligent automation tools, and machine learning applications.
  • Contribute to Physical AI projects involving robotics, autonomous systems, digital twins, simulation environments, and sensor-based applications.
  • Develop and maintain cloud-native applications and services on platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Support embedded software development activities for automotive and edge-computing systems when required.
  • Participate in software architecture design, coding, unit testing, debugging, and validation activities.
  • Collaborate with systems, software, data, and hardware engineers to deliver integrated solutions.
  • Develop APIs, data processing pipelines, and software tools to support engineering projects.
  • Participate in code reviews and ensure compliance with software quality standards.
  • Document software designs, technical solutions, and development activities.
  • Stay current with emerging technologies in AI, cloud computing, and software engineering.

Requirements

  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
  • 0-3 years of software development experience.
  • Academic, internship, capstone project, or personal project experience in software development is acceptable.
  • Experience in one or more programming languages such as Python, C++, C#, Java, or JavaScript.
  • Exposure to embedded software development, Linux, RTOS, or automotive software development is considered an advantage.
  • Strong analytical, problem-solving, and communication skills.
  • Self-motivated with a willingness to learn new technologies and work in fast-paced engineering environments.
  • Solid understanding of software engineering fundamentals, algorithms, and object-oriented programming.
  • Knowledge of AI/ML concepts and interest in Generative AI technologies.
  • Familiarity with cloud platforms (Azure preferred).
  • Understanding of software development lifecycle and Agile methodologies.
  • Experience with Git or similar version control tools.
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