2

Remote Optical Engineer Jobs in Michigan (NOW HIRING)

next page

Showing results 1-20

Remote Optical Engineer information

See Michigan salary details

$72.3K

$125.2K

$146.9K

How much do remote optical engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote optical engineer in Michigan is $125,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $145,600.00 per year, depending on experience, location, and employer.

What is a Remote Optical Engineer job?

A Remote Optical Engineer designs, analyzes, and tests optical systems and components while working from a remote location. They may be involved in developing lenses, fiber optics, laser systems, or imaging technologies for industries like telecommunications, healthcare, or aerospace. Using simulations and modeling software, they optimize optical performance and troubleshoot design challenges. Collaboration with teams happens virtually, requiring strong communication skills. This role often demands expertise in optics, photonics, and related engineering principles.

What are the key skills and qualifications needed to thrive in the Remote Optical Engineer position, and why are they important?

To excel as a Remote Optical Engineer, you need a solid understanding of optics, photonics, and optical system design, typically backed by a relevant engineering degree. Familiarity with simulation tools such as Zemax or LightTools, CAD software, and possibly certifications in optical engineering or fiber optics is highly valuable. Strong problem-solving, effective communication, and self-motivation are key soft skills, especially when working remotely. These skills are vital for delivering precise optical solutions, collaborating efficiently across virtual teams, and managing projects independently.

What are some typical projects or challenges a Remote Optical Engineer might work on?

As a Remote Optical Engineer, you may work on projects ranging from designing lenses or laser systems to optimizing fiber optic communications or developing imaging devices. Common challenges include troubleshooting optical alignment remotely, accurately simulating system performance, and ensuring close collaboration with mechanical and electrical engineering teams across different time zones. The ability to communicate technical concepts clearly and navigate virtual project management tools is essential for success. These diverse projects offer opportunities to innovate, enhance your technical skills, and contribute to cutting-edge technologies from anywhere.
What are the most commonly searched types of Optical Engineer jobs in Michigan? The most popular types of Optical Engineer jobs in Michigan are:
What are popular job titles related to Remote Optical Engineer jobs in Michigan? For Remote Optical Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Optical Engineer jobs in Michigan look for? The top searched job categories for Remote Optical Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Optical Engineer jobs? Cities in Michigan with the most Remote Optical Engineer job openings:
Infographic showing various Remote Optical Engineer job openings in Michigan as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,170 per year, or $60.2 per hour.
Senior, ML Engineer - Offline Perception

Senior, ML Engineer - Offline Perception

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102.20K - $140.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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:
Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data.
What You'll Do:
  • Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
  • Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
  • Stay up to date with the latest developments in AI and ML for autonomous driving.
  • Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining
  • Documentation of created applications.
  • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
  • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
  • Measure and track auto labeling quality to meet internal customer requirements.
  • Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
  • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
  • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
  • Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ 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 3+ years of experience OR;
  • Required Qualifications(some combination of the following skills):
    • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
    • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
    • Scaled ML Operations (MLOps) and Tooling - ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality.
    • Distributed machine learning frameworks - PyTorch, Lightning, Ray.
    • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
    • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.

Bonus Points!
  • Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc).
  • Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau.
  • Cloud Development - Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).
  • Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.

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.
Hiring Range for Job Opening
US Pay Range
$199,200 - $298,800
Job ID: 102399