GPU Optimization Intern

Stealth GPU Optimization Startup (Headquarters: Toronto, Canada)

C++ C CUDA Python GPU Optimization Performance HPC Internship Student Graduate AI Engineer

Company: Stealth GPU Optimization Startup is building the foundational frameworks and tools necessary to unlock the full potential of the massive GPU compute power being deployed globally. We are a Toronto-based company operating in stealth mode.

Role: We have internship openings for students or recent graduates eager to dive into the world of GPU computing. This is an opportunity to learn from experienced engineers and contribute to impactful projects in a dynamic startup environment.

Responsibilities:
- Learn about GPU architecture and optimization techniques.
- Assist engineers in developing and testing GPU software components.
- Contribute to tooling and framework development.
- Participate in team discussions and code reviews.

Technical Skills Required:
- Solid foundational programming skills (C/C++ or Python preferred).
- Strong interest in GPU computing, parallel processing, and performance optimization.
- Eagerness to learn and tackle challenging problems.
- Basic understanding of computer architecture is a plus.

Ideal Candidate:
- Current student (Bachelor's, Master's, PhD) or recent graduate in Computer Science, Engineering, or related field.
- Highly motivated, curious, and proactive learner.
- Shows strong potential and foundational skills. We are happy to train individuals who demonstrate passion and aptitude.

Interview Process:
Our interview process is straightforward, focusing on your foundational skills, interest in the field, and potential fit with the team. Expect an initial chat about your background and interests.

Location & Type: Internship role based in Toronto, Canada, offering Hybrid or Onsite work options. Assumed Full-Time for the duration.