Sr. AI Developer & Advanced Methods

General Motors; Markham; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading automotive company is seeking an AI Software Developer to join their innovative team in Markham. The role involves developing AI models, collaborating with specialists, and enhancing software efficiency through simulation techniques. Candidates should have a strong educational background in computer science, along with experience in AI and data analysis. This position offers the opportunity to work hybrid, making a significant impact in the digital revolution of engineering tools.

Qualifications

• Experience in AI modeling and building complex software.
• Proficiency with LLMs and AI agents.
• Ability to create visualizations of AI outputs.

Responsibilities

• Model, build, and test AI-based software.
• Collaborate with specialists to develop capabilities within CoSimulation framework.
• Prototype AI solutions and lead team members.

Skills

AI

Data Analytics

Simulation Techniques

Collaboration

Creativity

Education

Bachelor's degree in Computer Science or related field

Job description

Work Arrangement: This role is categorized as hybrid. The successful candidate is expected to report to the office at least three days per week. If you live outside an 80 KM radius from Markham Elevation Centre, the role will be remote.

The Role

We are at a pivotal time in our industry, where simulation techniques are leading a digital revolution in engineering tools and systems. As we develop new software content for our vehicles, our vision is to integrate simulation techniques with AI to enhance efficiency, robustness, and scalability.

We are creating dedicated teams focusing on AI, data analytics, simulation, and automation frameworks for hardware, software, and system design and development. This role is crucial for building AI models that can effectively learn from existing core information.

What You’ll Do (Key Responsibilities)

1. Model, build, and test AI-based software with complex inputs.

2. Leverage expertise in LLMs and AI agents to enhance our software and tools stack, maintaining strong connections to data frameworks.

3. Collaborate with data scientists, simulation experts, and calibration specialists to develop new capabilities within our CoSimulation framework.

4. Prototype new AI solutions aligned with evolving goals and future-proof our technology stacks.

5. Create visualizations of AI work, aiming for meaningful interpretations of outputs.

6. Continuously challenge the status quo to deepen our understanding of data.

7. Navigate ambiguity creatively while delivering results.

8. Lead and mentor team members towards shared objectives.