Your Role
Here's what you will be doing:
- Optimize AI inference workflows for edge-device environments.
- Analyze latency, memory usage, computational efficiency, and model performance.
- Identify bottlenecks within agentic AI architectures.
- Develop and test software prototypes and optimization approaches.
- Support the integration of AI models and agents with edge hardware.
- Document findings, technical designs, and performance recommendations.
- Collaborate with software, hardware, AI, and strategy stakeholders.
- Use AI-assisted development tools such as Codex, Copilot, and Claude to accelerate coding, testing, and debugging.
About You
The company is looking for candidates with the following skills and qualifications:
- Currently pursuing a bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Chemical Engineering, Cybersecurity, or a related technical discipline.
- No more than 24 months of prior professional work experience related to the intern requisition (excluding internships, teaching assistance, research, or military experience).
- Eligible to work in the United States in 2027 without requiring future sponsorship.
- Knowledge and skills in artificial intelligence and machine learning.
- Coding and software development experience.
- Expertise in AI inference and performance optimization.
- Software and systems engineering capabilities.
- Technical design and prototyping skills.
- Testing, debugging, and performance analysis experience.
- Understanding of agentic AI and edge-computing concepts.
- Familiarity with AI development tools such as Codex, Copilot, and Claude.
- Strong analytical, communication, and collaboration skills.
Compensation & Advantages
- Hourly pay range of $29 to $35 (US candidates only), varying by location, knowledge, skills, and experience.
- Comprehensive benefits package for US interns working at least 20 hours weekly, including health, dental, and vision insurance.
- Long term and short term disability insurance.
- Employee assistance program and flexible spending account.
- Life insurance coverage.
- Generous time off policies including 4-12 weeks fully paid parental leave based on tenure, 13 paid holidays, and 15 days paid time off (pro-rated based on hire date and scheduled hours).
📌 AI Applied Engineering Intern (Vancouver)
🏢 UEC
📍 Vancouver