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Top Hybrid Software Engineer Jobs in Ann Arbor, MI

Reposted 8 Hours AgoSaved
Hybrid
Milford, MI, USA
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As an Infotainment Audio Software Developer, you will design, code, and support audio functionality for GM's infotainment system, maintaining existing code and improving audio experience, and using Agile methodologies for development.
Top Skills: AndroidC++GitJavaJenkinsJIRALinuxQnx
Reposted 8 Hours AgoSaved
Hybrid
2 Locations
Expert/Leader
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Staff Software Engineer will design, deploy, and maintain scalable cloud applications and automation solutions while serving as a subject matter expert in virtualization and test automation.
Top Skills: AutovalAWSAzureCC++CanoeCaplDockerDspace SystemdeskEcsGCPGithub ActionsIntrepid Vehicle SpyJavaJenkinsKubernetesPythonQuarkusSingularitySystemcVector CanapeVeos
Reposted 2 Days AgoSaved
Hybrid
2 Locations
140K-230K Annually
Senior level
140K-230K Annually
Senior level
Automotive • Software • Automation
The Senior Software Engineer will design architecture, implement systems for Enterprise AI, collaborate on machine learning development, and support CI/CD practices.
Top Skills: AWSFlyteGCPGoKubeflowKubernetesPython
Reposted 18 Days AgoSaved
Hybrid
4 Locations
100K-234K Annually
Senior level
100K-234K Annually
Senior level
Information Technology
As a Senior Software Engineer - AI, you will develop AI-driven systems, mentor teams, ensure quality, and collaborate with cross-functional teams to deliver solutions in legal, tax, and compliance domains.
Top Skills: AWSAzureDockerGCPKubernetesPythonPyTorchTensorFlow
Reposted 22 Days AgoSaved
Easy Apply
Hybrid
Ann Arbor, MI, USA
Easy Apply
153K-184K Annually
Mid level
153K-184K Annually
Mid level
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Software Engineer, II will optimize ML models on GPU platforms, contribute to resource management, and collaborate with feature teams for vehicle integration.
Top Skills: C++CudaLinuxPyTorch
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