Computational Mechanics and Computer Aided Design Researcher

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

We are seeking a Computational Mechanics and Computer Aided Design Researcher to join our Design for X (DfX) team within Research & Development. In this role, you will help shape the future of engineering design by developing AI powered tools embedded directly into our CAD workflow (Siemens NX), enabling engineers to create designs that are optimized for performance, manufacturability, and quality before production begins.

This position sits at the intersection of computational geometry, mechanics, and artificial intelligence, translating advanced research into practical, CAD native engineering capabilities used at scale.

Joining R&D will provide you with the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our capabilities and ensuring that our products are at the forefront of the industry.

What You'll Do

Develop computational geometry and mechanics algorithms that reason directly on CAD models to support design evaluation and optimization.

Research and prototype AI assisted generative design workflows that combine data driven methods with physics and geometry aware reasoning.

Build CAD integrated solutions within Siemens NX to enable pushbutton analysis, design exploration, and manufacturability checks.

Design and validate methods that balance learning based approaches with deterministic evaluation, ensuring results are explainable and repeatable.

Collaborate with cross functional partners in R&D, Manufacturing, Product Engineering and IT to transition research concepts into scalable engineering tools.

Communicate research outcomes through technical reports, demonstrations, and presentations to engineering and leadership audiences.

Your Skills & Abilities (Required Qualifications):

PhD in Mechanical Engineering, Computer Science, Applied Mathematics, Computer Graphics, or a related field.

OR MS Mechanical Engineering, Computer Science, Applied Mathematics, Computer Graphics, or a related field and 2+ years of equivalent experience.

Strong background in computational mechanics, numerical methods, or simulation-driven design.

Expertise in computational geometry or computer graphics, such as surface representations, geometry processing, feature detection, or geometric optimization.

Proficiency in Python and/or C/ C#/C++ for algorithm development and research prototyping.

Experience applying machine learning to engineering or geometry-centric problems.

Ability to design rigorous experiments and validate results using appropriate engineering metrics.

Strong written and verbal communication skills

What Will Give You A Competitive Edge (Preferred Qualifications):

Experience developing CAD or CAE integrations, particularly with Siemens NX or similar platforms.

Familiarity with DFX, manufacturability analysis, or CAD based checking tools.

Experience combining physics-based simulation with AI, such as surrogate modeling or physics informed ML.

Background in manufacturing related mechanics (e.g., forming, joining, structural performance).

Publication or patent record in computational mechanics, geometry processing, or AI for engineering.

Experience turning research prototypes into tools used by nonexpert engineers.

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 may be eligible for relocation benefits.

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.

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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

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