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Robotics Deployment Engineer Jobs in Detroit, MI

General Motors

AMR Integration Engineer

Warren, MI · On-site

$110 - $150/hr

... deployment readiness across robotics programs. What You'll Do * Lead and support integration ... Bachelor's degree in mechanical engineering, electrical engineering, robotics, mechatronics ...

GABLETEK

Robot Programmer (Yaskawa Motoman)

Troy, MI · On-site

GableTek is a leading provider of industrial automation, controls, and robotics integration ... Travel may include extended stays during project launches and customer site deployments What We ...

GABLETEK

Robot Programmer (Yaskawa Motoman)

Troy, MI · On-site

GableTek is a leading provider of industrial automation, controls, and robotics integration ... Travel may include extended stays during project launches and customer site deployments What We ...

Optimal Inc.

Controls Integration Engineer

Warren, MI · On-site

$78K - $101K/yr

... deployment of industrial automation systems. Master's degree in Electrical Engineering (preferred), Controls Engineering, Computer Engineering, Mechatronics, Robotics Engineering, or a related field.

Optimal Inc.

Controls Integration Engineer

Warren, MI · On-site

$78K - $101K/yr

... deployment of industrial automation systems.Master's degree in Electrical Engineering (preferred), Controls Engineering, Computer Engineering, Mechatronics, Robotics Engineering, or a related field.

Actalent

Automation Controls Engineer

Warren, MI

$40 - $65/hr

Key Responsibilities AGV Solution Development & Deployment * Develop and standardize AGV ... Integrate AGV systems with manufacturing execution systems, conveyors, robotics, vision systems ...

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All JobsRobotics Deployment Engineer JobsRobotics Deployment Engineer Jobs in Detroit, MI

Robotics Deployment Engineer information

See Detroit, MI salary details

$35.1K

$108.5K

$168.3K

How much do robotics deployment engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for robotics deployment engineer in Detroit, MI is $108,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a robotics deployment engineer?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by robotics deployment engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

What are the key skills and qualifications needed to thrive as a robotics deployment engineer, and why are they important?

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.
What are popular job titles related to Robotics Deployment Engineer jobs in Detroit, MI? For Robotics Deployment Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Robotics Deployment Engineer jobs in Detroit, MI look for? The top searched job categories for Robotics Deployment Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Robotics Deployment Engineer jobs? Cities near Detroit, MI with the most Robotics Deployment Engineer job openings:
Robotics Deployment Engineer jobs near you
Infographic showing various Robotics Deployment Engineer job openings in Detroit, MI as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $108,461 per year, or $52.1 per hour.

Staff, ML Engineer - Scene Generation

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc is marching towards its AV 3.0 strategy. The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc's data-driven simulator. High-quality data from novel scenarios closes the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, contributing to Torc's data workflow for training and validation across the complete AV stack. As Staff ML Engineer, you will lead this team, setting its technical direction and day-to-day priorities.
What You'll Do
  • Serve as the team's technical lead, owning key design decisions and driving consensus across engineers and stakeholders.
  • Set and own the technical vision and roadmap for the Scene Generation team's Neural Rendering and generative modeling work, aligned to Torc's AV 3.0 strategy.
  • Lead the Scene Generation team day to day, prioritizing work, unblocking engineers, and making the final call on architecture and technical approach.
  • Implement and guide the team in applying the latest research advances in Neural Rendering and generative models.
  • Translate cutting edge research into production quality Camera, LiDAR, and Radar sensor simulation that scales perception simulation and AV 3.0 training.
  • Own the neural rendering framework end to end, from research, design, and implementation through testing, cloud integration, and deployment.
  • Understand the integration of the framework in a cloud environment and automate the pipeline to scale target verification and validation of our autonomous trucks.
  • Design, implement, test, and deploy shippable production quality software using disciplined software development processes, setting the technical bar for the team.
  • Work within the cloud machine learning ecosystem alongside other machine learning services across the company, owning integration and scaling decisions for the team's pipeline.
  • Proactively assess current capabilities to identify areas for improvement, proposing and driving solutions that align with core strategy and operations.
  • Drive alignment across team interfaces to the rest of the organization, representing Scene Generation's roadmap, priorities, and constraints to peer teams and leadership.
  • Mentor, coach, and grow engineers on the team, and play an active role in hiring, onboarding, and career development for the group.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience OR Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience OR PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience.
  • Proficiency in Python and deep learning frameworks such as PyTorch.
  • PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.
  • Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
  • Experience with production data in the context of robotics and/or autonomous driving
  • Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
  • Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.
  • Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.
  • Experience with VDI and cloud-based machine learning development environments.
  • Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.
  • Track record of mentoring and developing engineers, including more senior individual contributors.
  • Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization.

Bonus Points!
  • Experience with autonomous driving or robotics perception in production environments.
  • Proficiency with CUDA programming for efficient rendering of large-scale scenes.
  • Publications in top tier CV, AI, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals.
  • Experience with MLOps and infrastructure tools such as Ray.
  • Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
  • Prior experience as a formal people manager or tech lead.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102840
Hiring Range for Job Opening
US Pay Range
$249,600-$299,500 USD

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