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Temporal Jobs in Michigan (NOW HIRING)

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

Experience with temporal data and/or sequential modeling * Experience with code quality and systems safety processes for production code delivery, with respect to data-driven methodologies and model ...

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Experience with temporal data and/or sequential modeling * Experience with code quality and systems safety processes for production code delivery, with respect to data-driven methodologies and model ...

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

... temporal modeling. • Self-supervised/semi-supervised and vision/fusion Foundation Models. • Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data ...

TEMPORAL CAMPANA DE VERANO Jornada: 896, 1120, 1344 horas Franja horaria/turno: Manana, mediodia y tardes Promedio de horas semanales: 20, 25 y 30 horas Porque tu marcas la diferencia En Primark nos ...

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling. * Self-supervised/semi-supervised and vision/fusion Foundation Models. * Expertise in ML/DL ...

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling. * Self-supervised/semi-supervised and vision/fusion Foundation Models. * Expertise in ML/DL ...

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Temporal information

See Michigan salary details

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How much do temporal jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for temporal in Michigan is $11.65, according to ZipRecruiter salary data. Most workers in this role earn between $8.37 and $13.61 per hour, depending on experience, location, and employer.

What is the difference between Temporal vs Data Engineer?

AspectTemporalData Engineer
Required CredentialsTechnical knowledge of workflow orchestration, programming skillsDatabase, programming, and data pipeline skills
Work EnvironmentSoftware development, cloud-based systemsData processing, analytics, cloud platforms
Industry UsageWorkflow automation, microservices orchestrationData management, analytics, big data
Search & Comparison IntentUnderstanding workflow orchestration toolsData pipeline and infrastructure roles

Temporal is a workflow orchestration platform focused on managing complex application workflows, while Data Engineers build and maintain data pipelines and infrastructure for data processing. Both roles require technical skills but serve different purposes within software and data ecosystems.

What are the key skills and qualifications needed to thrive as a Temporal Engineer, and why are they important?

To thrive as a Temporal Engineer, you need strong proficiency in distributed systems, software development (especially in Go or Java), and experience with workflow orchestration, ideally with a degree in computer science or a related field. Familiarity with Temporal's platform, cloud-native tools (like Kubernetes and Docker), and CI/CD systems is typically required. Excellent problem-solving, teamwork, and communication skills set top candidates apart in this role. These competencies ensure the reliable design, deployment, and operation of scalable workflow solutions, which are critical for modern software infrastructure.

What are Temporal engineers?

Temporal engineers are software professionals who specialize in using the Temporal platform to build, run, and scale reliable distributed applications. Temporal is an open-source workflow orchestration engine that helps developers manage complex workflows, handle failures, and ensure the consistency of long-running business processes. Temporal engineers design, implement, and maintain workflows that require coordination between multiple services, often in cloud-native environments. They use Temporal’s APIs and SDKs to build resilient applications that can recover from errors and interruptions automatically.

How does a Temporal Engineer typically collaborate with cross-functional teams to deliver workflow solutions?

As a Temporal Engineer, collaboration with cross-functional teams is central to designing, implementing, and maintaining robust workflow solutions. You’ll frequently work alongside product managers, software engineers, and infrastructure teams to understand requirements and integrate Temporal's orchestration platform into broader system architectures. Regular meetings, code reviews, and design sessions are common, ensuring alignment on workflow logic and system reliability. This collaborative environment helps streamline communication, surface potential challenges early, and deliver scalable, dependable solutions.
Senior, Software Engineer - Release Pipelines

Senior, Software Engineer - Release Pipelines

Torc Robotics

Ann Arbor, MI • On-site

$119K - $158K/yr

Full-time

Posted 8 days ago


Job description

Job Summary:
Torc Robotics is a leader in autonomous driving focused on developing software for automated trucks. They are seeking a Senior Software Engineer to join the release pipelines team, responsible for building automation systems and workflow pipelines for safety-critical software releases.
Responsibilities:
• Build automation tooling and pipeline development
• Complex workflow automation via Temporal
• Bazel, BuildStream, and other high-speed build systems
• Integration with 3rd party work tracking and requirements systems
• Integration with custom systems and hardware testing platforms
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
• Master’s degree in Computer Science, Software Engineering, or related field with 4+ years of professional experience
• Deep expertise in architecting hermetic, scalable build systems using Bazel or Buildstream
• Proven ability to optimize build times and developer feedback loops
• Advanced experience designing complex, resilient background processes and stateful workflows using Temporal or similar
• Expertise in AWS infrastructure and advanced Docker orchestration
• Deep knowledge of Debian packaging internals and repository management at scale
• Mastery of Python for building sophisticated developer platforms and automation frameworks
Preferred:
• Direct experience custom embedded Linux distributions
• Experience mentoring junior engineers on build best practices
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.