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Applied Engineering
Applied Engineering

60 Applied Engineering Jobs Hiring in Michigan

Applied Intuition

Software Engineer

Ann Arbor, MI · On-site +1

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in ... Designed efficient and effective solutions to a wide range of engineering challenges * Proven ...

Applied Intuition

Simulation Engineer

Ann Arbor, MI · On-site +1

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in ... A MS in Mechanical Engineering or a BS with relevant industry experience * 5+ years of hands on ...

Ilitch

Applied AI Engineer

Detroit, MI

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data ... This role will partner closely with Data Engineering, Architecture, Product, and Application ...

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

This role will partner closely with Data Engineering, Architecture, Product, and Application ... and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data ... This role will partner closely with Data Engineering, Architecture, Product, and Application ...

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Senior Autonomy Release Engineer II

May Mobility

Ann Arbor, MI • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. As a Senior Autonomy Release Engineer II, you will lead the solution of complex problems in vehicle autonomy, ensuring software is safe, reliable, and ready for release while collaborating with various engineering teams.
Responsibilities:
• Release ownership and release execution end-to-end across:
• Major autonomy releases
• Incremental/performance releases
• Hotfix/safety patches
• Manage branching strategy, versioning, and release cut processes
• Drive release readiness and go/no-go decisions
• Partner cross-functionally with Autonomy, Infra, Validation, and Fleet Ops
• Act as a system owner for release readiness Investigate and resolve complex issues arising from:
• + Software/hardware interactions
• + Distributed systems behavior
• + On-vehicle vs simulation discrepancies
• Develop deep understanding of:
• + Sensor stack, middleware, autonomy stack
• + Compute platforms, networking, configurations
• Be the go-to for:
• + "Why does this fail in the real world?"
• + "What changed between releases?"
• Enforce stage-gated release framework:
• + Feature Complete → Code Freeze → Validation → Release Candidate
• Integrate validation signals:
• + Simulation corpus results
• + Regression testing
• + Vehicle testing (HIL / on-road)
• Ensure safety-critical issues are identified, tracked, and gated
• Take initiative to find and permanently solve challenging system level issues caused by the interplay between different software and hardware components.
• Collaborate and lead system-wide improvements when working with other teams without having direct ownership or management responsibility.
• Assess and develop approaches that scale and improve performance in a variety of ways (e.g. CPU performance, memory usage, disk usage, network usage).
• Assess and improve system robustness to systematic stochastic and transient issues that impact autonomous vehicle performance.
• Support other autonomy engineers in designing and integrating their components with the full May system.
Qualifications:
Required:
• 7+ years in autonomous systems, release engineering, and DevOps
• Strong Python and scripting skills
• Working knowledge or familiarity with C/C++
• Experience working across full product lifecycle
• Proven ability to debug complex system-level issues
• Strong communication skills across technical domains
Preferred:
• 10+ years of experience in autonomous robotic systems, DevOps and release engineering
• Experience with autonomous cars, trucks, or similar vehicles.
• A masters or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field.
• Previous experience in a startup or high performance research and development group with an emphasis on delivery
• Experience with AV or robotics systems
• Familiarity with: Simulation frameworks, HIL / vehicle testing, Safety-critical systems (ISO 26262, SOTIF)
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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