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Virtual Vision Scientist Jobs in Michigan (NOW HIRING)

General Motors

CAE Modeling Lead

Warren, MI · On-site

... Vision for modelling enterprise Your Skills & Abilities (Required Qualifications) * Bachelor ... Science or Physics * 6 + years relevant experience in Virtual engineering : CAE / Design core ...

Fitzgerald Public Schools

Science Teacher

Warren, MI · On-site

$45K - $58K/yr

Our vision is to educate our future leaders to be F ocused, P rogressive and S uccessful. Our ... our virtual academy. We have an award winning athletic program, marching band and our own ...

Fitzgerald Public Schools

Science Teacher

Warren, MI · On-site

$45K - $58K/yr

Our vision is to educate our future leaders to be F ocused, P rogressive and S uccessful. Our ... our virtual academy. We have an award winning athletic program, marching band and our own ...

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All JobsVision Scientist JobsVirtual Vision Scientist JobsVirtual Vision Scientist Jobs in Michigan

Virtual Vision Scientist information

How does a virtual vision scientist typically collaborate with cross-functional teams to implement vision research findings into practical applications?

As a Virtual Vision Scientist, you will frequently work alongside software developers, UX/UI designers, and product managers to translate vision science research into real-world solutions such as computer vision algorithms or visual accessibility tools. Collaboration often involves presenting research findings, advising on experimental design, and iterating on prototypes to ensure scientific validity and user-centered outcomes. Clear communication and adaptability are key, as you may need to bridge the gap between theoretical research and technical implementation within project timelines.

What is a virtual vision scientist?

A Virtual Vision Scientist is a professional who researches and develops technologies related to visual perception in virtual environments. They often work at the intersection of neuroscience, computer vision, and virtual or augmented reality, aiming to improve how humans see and interact with digital content. Their work includes studying how eyes and brains process virtual images, ensuring visual comfort, and enhancing realism. Virtual Vision Scientists may work in academia, tech companies, or the gaming industry, contributing to advancements in visual technologies.

What are the key skills and qualifications needed to thrive as a virtual vision scientist, and why are they important?

To thrive as a Virtual Vision Scientist, you need a solid background in computer vision, machine learning, and image processing, usually supported by an advanced degree in computer science, engineering, or a related field. Experience with tools and frameworks like Python, TensorFlow, OpenCV, and related simulation or visualization software is typically required. Strong analytical thinking, creativity, and effective collaboration skills help you design and implement innovative vision solutions. These competencies are crucial for advancing research and development in virtual environments where accurate visual perception is essential.

What is the difference between Virtual Vision Scientist vs Optometrist?

AspectVirtual Vision ScientistOptometrist
CredentialsTypically requires a master's or doctoral degree in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentConducts research, data analysis, and virtual consultations in labs or remote settingsPerforms eye exams, diagnoses, and prescribes corrective lenses in clinics or private practices
Industry UsagePrimarily in research institutions, universities, and virtual healthcare platformsIn clinical eye care settings, hospitals, and private practices

While both roles focus on vision health, Virtual Vision Scientists primarily engage in research and virtual assessments, whereas Optometrists provide direct patient care and eye examinations. The roles differ in credentials, work environment, and industry application, though both contribute to advancing eye health and vision science.

What are the most commonly searched types of Vision Scientist jobs in Michigan? The most popular types of Vision Scientist jobs in Michigan are:
What cities in Michigan are hiring for Virtual Vision Scientist jobs? Cities in Michigan with the most Virtual Vision Scientist job openings:
Virtual Vision Scientist jobs near you

CAE Modeling Lead

General Motors

Warren, MI • On-site

Full-time

Posted 29 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,274 frontline employees who took The Breakroom Quiz

Job description

Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
Virtual Design, Development & Validation - Modeling Lead:
You will be responsible for leading the project management and delivery of Finite Element Analysis (FEA) models for full vehicle programs, integrating process automation and AI/ML applications to enhance modeling efficiency and quality. By uniting modelling art and science with data-driven innovation, you will collaborate with cross-functional teams, including CAD & simulation engineering, to continuously improve modeling workflows, accelerate GxDP and ensure robust quality assurance across models and virtual engineering activities. You will have opportunities for professional growth in project management, AI/ML, cloud platforms, and enterprise leadership through mentorship, training, and participation in leadership & innovation communities
What You'll Do
  • Independent Project Management and leadership in TKV and build planning leading to execution of full vehicle and subsystems models for programs to enable first time quality and ontime delivery of models
  • Interact, proactively engage, effectively communicate and co-ordinate with Vehicle Performance Integration Manager/Design Release Engineer/Design Engineer/Suppliers/ Performance/Program teams to develop efficient workflows and refine plans for model builds while continuously assessing and mitigating risk.
  • Lead and leverage globally distributed team for model builds
  • Perform risk assessment, monitor progress and enable first time quality and ontime delivery of models
  • Lead conducting robust root cause and preventive action summary on quality improvement opportunities on CAD inputs , full vehicle safety, body, trim structure( nvh) and flex models. Demonstrate application of 5 why principles leading to process, people and tools improvement
  • Identify & Lead efficiency and effectiveness improvement opportunities for master models builds
  • Actively apply process integration principles on day to day activities and propose improvements
  • Perform full Virtual Vehicle assembly, integration and quality checks on models with a focus on Safety and NVH models
  • Collaborate with VDDV consumer base and develop build plans and robust statement of requirements ( SoR ) for each modelling event
  • Design, develop, and deploy AI/ML models to automate and enhance CAE modelling & simulation workflows, including meshing, boundary condition setup, post-processing, and predictive analytics.
  • Work closely with CAE, CAD and data science teams to identify opportunities for AI-driven process optimization and digital transformation. Lead cross-functional projects that leverage modelling and simulation data for machine learning applications
  • Drive innovation by applying AI/ML to improve quality assurance, automate repetitive tasks, and improve model fidelity. Document workflows, results, and lessons learned for organizational knowledge sharing.
  • Leverage internal best practices and provide technical leadership and lead road to lab to math projects in alignment with Technology Roadmaps & Vision for modelling enterprise

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Engineering, Computer Science , Data Science or Physics
  • 6 + years relevant experience in Virtual engineering : CAE / Design core / Validation / Design Release/Performance/ Data Analytics & Science/ AI & ML .
  • Knowledge of vehicle development process and cross functional interfaces
  • Demonstrated skills in disciplined problem solving and data analysis.
  • Knowledge of Finite Element Analysis (FEA) theory/ Design development and application
  • Experience with CAE/CAD/data analytics tools (ANSA, HYPERMESH, LS-DYNA, Optistruct/NASTRAN, ABAQUS, Primer, Siemens NX/Catia/Python/AI-ML framework)
  • Demonstrated ability to collaborate with cross-functional teams (e.g., CAD, simulation, release, program management).
  • Demonstrated skills in disciplined problem solving ( 5- Why ) and data analysis.
  • Strong problem-solving, communication, and project management skills.

What Will Give You A Competitive Edge (Preferred Qualifications)
  • DFSS black belt or similar certification.
  • 10 + years relevant experience in Virtual engineering : CAE/ Design Release/Performance/ Data Analytics & Science.
  • 3+ years' experience with CAE, CAD, and data analytics tools such as ANSA, Primer, Animator, LS-Dyna, Nastran, Optistruct/Radioss, Metapost, Abaqus, HyperWorks (HyperMesh/HyperView), DEP Meshworks, PowerBi, NX, Teamcenter, Python, LLM's
  • 3+ years of hands -on experience and demonstrated ability in CAE analysis/synthesis in full vehicle Safety/NVH/Subsystem analysis.
  • Experience in cross-functional leadership and change management.
  • Foundational experience in Python
  • Experience with CAE/CAD tool APIs and workflow automation (e.g., Siemens-NX, ANSA, Altair, NASTRAN, ANSYS, Ls-dyna, Abaqus)
  • Experience deploying AI models/automation for engineering applications (e.g., surrogate modeling, workflow automation).
  • Masters qualification in Engineering /Data Science /MBA
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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