Top Software Engineer Jobs in Detroit, MI

Hands-on software architect responsible for designing, developing, modernizing, and supporting enterprise applications. Maintains VB.NET and .NET Framework systems while building C# and modern .NET capabilities. Develops SQL-backed applications, APIs, integrations, and data flows; troubleshoots production issues; contributes to architecture, code reviews, documentation, testing, security, and deployment decisions. Works with technical leadership, QA, business analysts, infrastructure teams, and peers while gradually assuming ownership of defined solution areas.

Develops and maintains web and desktop applications using Microsoft technologies. Responsibilities include gathering requirements, designing and testing solutions, estimating development work, presenting technical designs, collaborating with multidisciplinary teams, resolving issues, and supporting IT projects and continuous improvement initiatives.

Develop, configure, and maintain scalable ServiceNow applications focused on CSM or FSO. Build workflows, scripts, integrations, data processes, and automated tests using ServiceNow capabilities, REST/SOAP APIs, JavaScript, and Integration Hub. Troubleshoot defects and production issues, support deployments, document solutions, and collaborate with stakeholders, architects, QA teams, and developers in an Agile environment.

Software Engineer responsible for reviewing, refactoring, securing, deploying, and supporting business-built applications. The role includes full-stack development with Python, JavaScript/TypeScript, React, and Node; Azure hosting and identity integration; CI/CD, testing, secrets management, and API integrations. The engineer will establish reusable development standards, troubleshoot production issues, advise business stakeholders, and coach colleagues on reliable and secure software practices.

Maintain, troubleshoot, enhance, and develop native Android applications using Kotlin. Investigate production issues, integrate REST APIs and Firebase services, support releases, refactor existing code, and collaborate with backend, QA, and product teams. The role also involves debugging, root-cause analysis, code reviews, testing, and working with AWS-connected services.

Serves as the primary technical liaison between automotive customers and internal engineering teams. Responsibilities include troubleshooting complex software and production issues, coordinating customer technical topics, managing escalations, documenting and closing open issues, supporting root cause analysis, conducting technical training, coordinating prototypes, and driving product improvements with engineering, manufacturing, quality, and design teams. The role requires customer relationship management, cross-functional coordination, and up to 10% domestic travel.

Lead software design execution for automotive projects, managing budgets, quality, cost, delivery, technical reviews, corrective actions, efficiency plans, and software integration. Guide embedded software development using C and C++, ensure compliance with coding and functional safety standards, support testing and debugging, resolve technical issues, and mentor software designers. Collaborate with engineering managers and technical project leaders to deliver robust, reusable software solutions.

Develop and maintain applications using Python and PHP, with experience in Amazon EC2, SQL, WordPress, and CMS development. This is a long-term developer position based in Pontiac, Michigan, requiring candidates to provide an updated professional profile and demonstrate proficiency across web development technologies.

Develop and validate behavior and motion-planning algorithms for ADAS and automated-driving systems. Responsibilities include algorithm design, simulation, SIL/HIL testing, vehicle testing, performance analysis, debugging, calibration, real-time embedded optimization, and collaboration with perception, controls, systems, software, and product teams. The role also requires automotive lifecycle experience and compliance with ASPICE, ISO 26262, and SOTIF.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.