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Internship Labview Software Engineer Jobs in Novi, MI

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 ...

CAREERS * CSR * REQUEST A QUOTE AI Software Engineer Job Overview CADCAM-E is actively seeking a ... Electro-Mechanical with MATLAB, LabVIEW experience preferred Specific requirements: Unigraphics ...

The Software Equipment Engineer works with an engineering team, prototype team, production team to ... High skill level using Visual C++, C# and LabVIEW programming languages. Familiar with use of test ...

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 ...

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 ...

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

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 Labview Software Engineer information

See Novi, MI salary details

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How much do internship labview software engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship labview software engineer in Novi, MI is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $27.07 per hour, depending on experience, location, and employer.

What does an Internship LabVIEW Software Engineer do?

An Internship Labview Software Engineer assists in developing, testing, and maintaining software applications using LabVIEW, a graphical programming environment commonly used for data acquisition, instrument control, and automation. Interns typically work under the guidance of senior engineers to design virtual instruments, automate laboratory processes, and analyze test data. They gain hands-on experience in software development, debugging, and collaborating with multidisciplinary teams in engineering settings. This role is ideal for students or recent graduates interested in software and hardware integration in fields such as electronics, robotics, and automation.

What are the typical projects and responsibilities for an Internship LabVIEW Software Engineer?

As an Internship LabVIEW Software Engineer, you will typically assist in developing, testing, and troubleshooting automated test systems using LabVIEW software. Your daily tasks may include writing code to control instruments, analyzing test data, and collaborating closely with senior engineers to implement new features or optimize existing test setups. Interns often participate in team meetings to discuss project progress and learn about hardware-software integration in a hands-on environment. This role offers an excellent opportunity to gain practical experience with industry-standard tools while building foundational skills for a career in test engineering.

What are the key skills and qualifications needed to thrive as an Internship LabVIEW Software Engineer, and why are they important?

To thrive as an Internship LabVIEW Software Engineer, you need a solid background in electrical or computer engineering, programming knowledge (especially in LabVIEW), and a relevant academic pursuit or degree. Familiarity with National Instruments LabVIEW software, data acquisition hardware, and possibly a CLAD (Certified LabVIEW Associate Developer) certification is highly beneficial. Strong problem-solving, attention to detail, and effective teamwork skills help interns excel in dynamic engineering environments. These competencies ensure accurate system development, efficient troubleshooting, and successful collaboration on technical projects.

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

AspectInternship Labview Software EngineerEntry-Level Electrical Engineer
Required CredentialsTypically pursuing or holding a degree in Electrical Engineering, Computer Engineering, or related fields; familiarity with LabVIEWBachelor's degree in Electrical Engineering or related field; basic understanding of electrical systems
Work EnvironmentInternship setting, often in labs or R&D departments, focusing on software development and testingOffice or lab environment, working on electrical design, testing, and system integration
Industry UsageCommon in automation, testing, and control systems industriesWidespread across power, electronics, and manufacturing sectors

The main difference is that an Internship Labview Software Engineer focuses on developing and testing LabVIEW-based software during an internship, often with a learning component, while an Entry-Level Electrical Engineer works on electrical system design and analysis with broader engineering responsibilities. Both roles require relevant technical knowledge but differ in scope and focus.

What cities near Novi, MI are hiring for Internship Labview Software Engineer jobs?

Cities near Novi, MI with the most Internship Labview Software Engineer job openings:

Software Engineer

Worky

Auburn Hills, MI • On-site

$70 - $100/hr

Other

Posted 4 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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