Company: General Motors
Location: Markham, ON
Expected salary:
Job date: Fri, 06 Jun 2025 04:29:50 GMT
Job description: Job DescriptionWork Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office, three days per week, at minimum. But if you live outside an 80 KM radius from Markham Elevation Centre, it will be remote.The RoleWe are at a pivotal time in our industry where simulation techniques are paving the way towards a digital revolution of our engineering tools and systems. As we transform and drive new software content for our vehicles, our vision is one that strongly augments simulation techniques with AI. This will enable maximum efficiency, increased robustness, optimized workflows, all scalable.
Towards is goal, we are creating dedicated teams to focus on AI, Data analytics, CoSimulation, and SW calibration. This role is key and is specifically critical to building AI models that can extract/learn from existing core information effectively.What You’ll Do (Key Responsibilities)Model, build and test AI based software that is subject to a wide variety of complex inputs.Use your expertise in LLMs and/or AI agents to help drive our SW/tools stack while maintaining key connection to our data frameworks (existing calibration or development guides for example).Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capability into our existing CoSimulation framework.Use your knowledge to prototype new AI solutions that fit our goals as they evolve and we future proof our technology stacks.Contribute to visualizations of our work, and strive for physical meanings/interpretations of the AI outputs.Challenge the status quo continuously, with a main aim being to further our understanding of our data.Master ambiguity in a way that can leverage creative insights while remaining grounded in your deliverables.Additional Job DescriptionYour Skills & Abilities (Required Qualifications) Bachelor’s degree in Mathematics, Engineering, Physics, Computer Science, or a related field.2+ years in LLM (Large Language Model) development, AI-driven automation, or NLP solutions.Good understanding of data science, advanced statistics, signal processing and simulation frameworks.In depth knowledge of the core programming languages (Python, JavaScript, C/C++, etc.), as well as core AI toolsets and libraries (PyTorch, TensorFlow, etc.)Understanding and track record of developing and deploying LLM & Deep learning models, for NLP.Knowledge of RAG (Retrieval augmented generation), generative AI techniques, and Hybrid models are a plus.Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets).Willingness to learn and continue developing knowledge in an up-and-coming field.Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.What Will Give You a Competitive Edge (Preferred Qualifications)Master’s degree in Mathematics, Engineering, Physics, Computer Science, or a related field (PhD in LLM or NLP research is preferred).Experience with Automotive SW development processProven experience developing NLP solutions from a problem statement to deployment and ongoing refinement, including cloud solutions.Experience with advanced simulation or CoSimulation frameworksKnowledge of robust optimization techniques (GA’s, PSO, MDO, etc.)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.Benefits OverviewThe goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.Healthcare, dental and vision benefits including health care spending account and wellness incentive.Life insurance plans to cover you and your family.Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values.Tuition Assistance and Employee Assistance Program.GM Vehicle Purchase Plan for you, your family and friends.#LI-BG1About GMOur 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 UsWe 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.Non-Discrimination and Equal Employment OpportunitiesGeneral 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.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 .AccommodationsGeneral 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, us or call us at 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.
