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Remote Modeling Simulation Engineer Jobs in Allen Park, MI

May Mobility

Tech Lead, Simulation Engine

Ann Arbor, MI · On-site +1

Job Summary As Lead Simulation Engineer, you will architect and scale our core autonomous vehicle ... Lead development of advanced ego-vehicle dynamics and multi-body physics models, and integrate ...

May Mobility

Tech Lead, Simulation Engine

Ann Arbor, MI · On-site +1

Job Summary As Lead Simulation Engineer, you will architect and scale our core autonomous vehicle ... Lead development of advanced ego-vehicle dynamics and multi-body physics models, and integrate ...

New

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Collaborate closely with downstream consumers in perception, simulation, and systems engineering to ... Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Collaborate closely with downstream consumers in perception, simulation, and systems engineering to ... Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high ...

Booz Allen Hamilton, Inc.

Welding Engineer

Warren, MI · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0246871 Location: Warren,MI,US Share job via: Share Welding Engineer ... Participate in and monitor testing, models, and simulation efforts, develop test plans, and analyze ...

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All JobsModeling Simulation Engineer JobsRemote Modeling Simulation Engineer JobsRemote Modeling Simulation Engineer Jobs in Allen Park, MI

Remote Modeling Simulation Engineer information

See Allen Park, MI salary details

$35.6K

$112.5K

$173.7K

How much do remote modeling simulation engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote modeling simulation engineer in Allen Park, MI is $112,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $133,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What is a remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a remote modeling simulation engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

What are popular job titles related to Remote Modeling Simulation Engineer jobs in Allen Park, MI?

For Remote Modeling Simulation Engineer jobs in Allen Park, MI, the most frequently searched job titles are:

What job categories do people searching Remote Modeling Simulation Engineer jobs in Allen Park, MI look for?

The top searched job categories for Remote Modeling Simulation Engineer jobs in Allen Park, MI are:

What cities near Allen Park, MI are hiring for Remote Modeling Simulation Engineer jobs?

Cities near Allen Park, MI with the most Remote Modeling Simulation Engineer job openings:

Remote Modeling Simulation Engineer jobs near you

ML Engineer, II - Simulation Enablement

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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 Sim is the simulation platform built by our Dataloop + Simulation division to help Autonomy teams replay, recompute, evaluate, and visualize their models against real and synthetic driving data at scale. It is the backbone that turns a logged drive into a repeatable, measurable experiment, and we are working to scale our impact across all our Autonomy users.
We are hiring a Machine Learning Engineer to sit at the center of that growth: reporting to Dataloop + Simulation but living day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside. You will be the person who makes sure a model team's replay/recompute jobs run at scale, that the metrics coming out are interpretable and auditable, and that engineers can visualize what their model is doing. Along the way, you will become the resident expert on whichever model you are partnered with, whether Perception or Behavior models, so you fluently translate between "simulation platform" and "autonomy model."
What You'll Do
  • Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim
  • Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale
  • Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation
  • Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog
  • Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking) so you can implement and own integrations
  • Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics - and drive them to resolution
  • Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap
  • Document workflows and onboard new users so adoption scales beyond your own hands-on support

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience
  • Strong Python skills and experience building or operating data pipelines at scale
  • Experience working with simulation, replay, or model validation
  • Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume
  • Comfort working across cloud storage and compute
  • Strong cross-team communication skills - you'll be translating between a platform team and one or two embedded Autonomy teams on a daily basis
  • A bias toward hands-on problem solving: you're as comfortable debugging a broken data pipeline as you are explaining a metric discrepancy to a model owner

Bonus Points!
  • Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role
  • Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically
  • Experience with simulation or replay frameworks for autonomous vehicles or robotics
  • Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js
  • Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)
  • Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods)
  • Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions)

Work Location: For this position, we are hiring Remote in the United States and Canada.
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)
  • Company-wide holiday office closures
  • 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-102870
Hiring Range for Job Opening
US Pay Range
$153,200-$183,800 USD

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