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Junior Computer Science Jobs in Utica, MI (NOW HIRING)

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Mentor more junior members of a data engineering team. Qualifications You will have... * Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information ... Ability to mentor and advise junior team members * Develop exceptional analytical data products ...

Pwc

Payer Healthcare Data Scientist, Manager

Detroit, MI

$99K - $232K/yr

... junior staff while securing project success and maintaining exemplary standards. This role offers ... Computer Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ...

Pwc

Manager, Oracle SCM - MFG, OM, Planning

Detroit, MI · On-site

$99K - $232K/yr

... junior staff. You are responsible for project success and maintaining elevated standards. You ... Computer Science, Information Technology, or Computer and Information Science - 5 years of ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · Hybrid

$113K - $149K/yr

Bachelor's degree in Computer Science, Computer Engineering or related field OR a combination of ... Have skillset of leading a team and bringing along the junior engineers You may not check every box ...

General Motors

Sr. Software Performance Engineer

Warren, MI · On-site

$131K/yr

Mentor junior team members and contribute to team growth and development. Your Skills & Abilities (Required Qualifications) * Bachelor's degree in computer science or related field. * 5+ years of ...

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Junior Computer Science information

See Utica, MI salary details

$21.9K

$81.2K

$125.4K

How much do junior computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior computer science in Utica, MI is $81,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $79,400.00 per year, depending on experience, location, and employer.

What is a junior computer scientist?

A Junior Computer Scientist is an entry-level professional who typically holds a degree in computer science or a related field. They work under the supervision of senior staff to design, develop, test, and maintain software, algorithms, or systems. Their responsibilities may include coding, debugging, conducting research, and assisting with technical documentation. This role is often a starting point for those looking to advance in the field of computer science, offering valuable hands-on experience and opportunities to learn from more experienced colleagues.

What are the key skills and qualifications needed to thrive as a junior computer scientist?

To thrive as a Junior Computer Scientist, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development environments are commonly expected. Strong problem-solving abilities, effective communication, and a willingness to learn are essential soft skills for this role. These skills and qualities enable junior computer scientists to contribute to team projects, adapt to new technologies, and efficiently solve real-world technical problems.

What types of projects and responsibilities can a junior computer science professional expect in their first year?

As a Junior Computer Science professional, you can expect to work on a variety of foundational tasks such as debugging code, writing unit tests, and assisting with the development of new features under the supervision of more experienced team members. You may also participate in code reviews, collaborate with cross-functional teams like design and QA, and help maintain documentation. These hands-on experiences are designed to help you build technical skills, understand software development processes, and gradually take on more complex assignments as you gain confidence and expertise.

What is the difference between Junior Computer Science vs Junior Software Developer?

AspectJunior Computer ScienceJunior Software Developer
Required CredentialsDegree in Computer Science or related fieldDegree or coding bootcamp certification
Work EnvironmentAcademic, research, or entry-level tech rolesSoftware development teams, tech companies
Industry UsageUniversities, research labs, tech firmsSoftware companies, startups, IT departments
Common Search/ComparisonYesYes

Junior Computer Science roles typically focus on foundational knowledge, research, or academic settings, requiring a degree in computer science. Junior Software Developer positions are more application-oriented, involving coding and software creation within development teams. While both roles are entry-level, they serve different career paths within the tech industry.

What are the most commonly searched types of Computer Science jobs in Utica, MI?

The most popular types of Computer Science jobs in Utica, MI are:

What cities near Utica, MI are hiring for Junior Computer Science jobs?

Cities near Utica, MI with the most Junior Computer Science job openings:

Junior Computer Science jobs near you
Infographic showing various Junior Computer Science job openings in Utica, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $81,171 per year, or $39 per hour.

Senior Systems Engineer - CAE AIML Integration & Implementation

General Motors

Warren, MI • On-site

$97K - $134K/yr

Other

This job post has expired today. Applications are no longer accepted.

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,290 frontline employees who took The Breakroom Quiz

Job description

Job Description
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan 3 days per week (T-W-Th)
Who We Are
We are an engineering-focused IT organization responsible for the platforms, tools, and data ecosystems that power GM's virtual engineering and simulation (CAE) capabilities. Our teams design, build, and operate high-performance computing, data, and AI/ML integration solutions that enable engineers to explore more design options, accelerate development cycles, and improve product quality. We partner closely with CAE, software, data science, and infrastructure teams to turn cutting-edge technologies into robust, production-ready capabilities that make GM's vehicles safer, more efficient, and more innovative.
The Role
We are seeking a Senior Systems Engineer to lead the implementation, integration, and operationalization of AI/Machine Learning (AIML) solutions for the CAE engineering community. In this role, you will implement AIML based POC's as well as turn those POC's into robust, supportable capabilities by installing, configuring, and integrating commercial and custom AIML tools with GM's CAE applications, HPC environments, and data platforms. You will partner closely with CAE engineers, other systems engineers, and infrastructure teams to ensure these solutions are reliable, performant, and straightforward for engineering users to adopt at scale.
What You'll Do
  • Lead the installation, configuration, and integration of AIML software and services into existing and new CAE workflows, including on-prem and cloud/HPC environments.
  • Integrate CAE tools, data sources, and AIML components (e.g., APIs, agents, pipelines, UIs) with enterprise platforms such as HPC clusters, Azure, data lakes, and Simulation Process and Data Management solutions.
  • Define and maintain system-level requirements, interfaces, and architecture diagrams for AIML-enabled CAE solutions, ensuring traceability and alignment with enterprise standards.
  • Develop and execute installation, integration, and regression test plans to validate end-to-end CAE workflows, including performance, reliability, and security checks.
  • Partner with CAE engineers and business stakeholders to harden and scale successful AIML POCs, including packaging, deployment, monitoring, and support hand-off.
  • Establish and improve operational processes (versioning, configuration management, logging, observability, incident response) for AIML-enabled CAE applications.
  • Ensure all solutions comply with GM security, data governance, and responsible AI guidelines, including appropriate handling of engineering and proprietary data.
  • Create and maintain user guides, runbooks, and integration documentation to support CAE engineers, support teams, and partner IT organizations.
  • Provide technical leadership and mentorship to peers and junior engineers on CAE integration patterns, AIML solution deployment, and systems engineering best practices.
  • Stay current on emerging AIML and CAE software capabilities and recommend pragmatic opportunities to simplify workflows, improve throughput, and reduce cycle time for engineering teams.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, Mechanical/Automotive Engineering, or a related technical field.
  • 7+ years of experience in systems engineering and/or software integration roles, with a focus on complex, distributed or HPC-based systems.
  • Hands-on experience installing, configuring, and integrating engineering or scientific software (e.g., CAE solvers, pre/post tools, optimization/MBSE/AI tools) across desktop, HPC, and/or cloud environments.
  • Strong background in systems engineering practices (requirements, interfaces, architecture, validation, and lifecycle management).
  • Practical understanding of AI/ML concepts and patterns (e.g., model endpoints, inference services, pipelines, RAG/agentic workflows) and how they integrate into applications and workflows.
  • Proficiency with scripting and automation (e.g., Python, shell, CI/CD tools) for installation, configuration, and validation of integrated systems.
  • Experience working with HPC or cloud-based compute environments (e.g., job schedulers, containers, GPU resources, monitoring and logging tools).
  • Demonstrated ability to collaborate with cross-functional teams (CAE engineers, software developers, data scientists, infrastructure, cybersecurity) to deliver integrated solutions.
  • Excellent communication, documentation, and stakeholder-management skills; able to explain complex technical topics to diverse audiences.

What Will Give You a Competitive Edge (Preferred Qualifications)
  • Master's degree in Engineering, Systems Engineering, Computer Science, or a related field.
  • Direct experience with CAE tools and workflows (e.g., structural, CFD, optimization, SPDM/EPDM) and how engineering teams run simulations in practice.
  • Experience integrating or deploying commercial AIML/physics-AI tools within engineering environments.
  • Familiarity with GM-like enterprise environments (regulated, safety-critical, or automotive) and associated security and compliance expectations.

#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.
This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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