Summer 2027 Long Term Analog and Mixed Signal Engineering Intern/Co-Op

advanced micro devices; Markham; Hybrid; CAD 140,000 - 210,000; Full time

Job summary

Qualcomm in Toronto is seeking a Senior Staff Compiler Engineer to advance ML/AI compilers for efficient mappings of ML workloads on future SoCs. You will join the ML Systems Team and contribute to production and exploratory compiler work.

The role emphasizes performance-driven analysis, collaboration with HW/SW teams, and pre-silicon evaluation of compute performance, with hybrid work and strong emphasis on C++/Python skills and system-level understanding.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Strong problem-solving and debugging skills.
• Experience with ML/AI compiler concepts is beneficial.

Responsibilities

• Develop and evolve ML/AI compilers for ML workloads.
• Map ML workloads to Qualcomm hardware efficiently.
• Analyze ML algorithms and workloads to influence HW/SW features.
• Create performance-focused simulations using C++ and Python.
• Assess trade-offs for future HW/SW ML algorithms.
• Pre-Silicon performance prediction for ML workloads.

Skills

C++

Python

Algorithms

Performance analysis

Debugging

Communication

Software development

Revision control

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Tools

Git

Jenkins

Docker

clang/MSVC

Job description

Senior Staff Compiler Engineer
Toronto/Hybrid

We are partnered with a global leader in the semiconductor industry, assisting in the search for a Senior-Staff level compiler optimization engineer to join their growing AI/ML R&D team.

General Summary:

Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, We envision making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things.

We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

Job Purpose & Responsibilities

As a member of the ML Systems Team, you will participate in two activities:

• Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW
• Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings

Key Responsibilities:

• Contributing to the development and evolution of ML/AI compilers
• Defining and implementing algorithms for mapping ML/AI workloads to Qualcomm HW
• Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
• Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
• Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms
• Pre-Silicon prediction of performance for various ML algorithms
• Running, debugging and analyzing performance simulations to suggest enhancements to hardware and software to tackle compute and system memory-related bottlenecks

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Requirements:

• Demonstrated ability to learn, think and adapt in fast-changing environments
• Detail-oriented with strong problem-solving, analytical and debugging skills
• Strong communication skills (written and verbal)
• Strong background in algorithm development and performance analysis is essential

The following experiences would be significant assets:

• Strong object-oriented design principles
• Strong knowledge of C++
• Strong knowledge of Python
• Experience in compiler design and development
• Knowledge of network model formats/platforms (eg. Pytorch, Tensorflow, ONNX) is an asset.
• On-silicon debug skills of high-performance compute algorithms
• Knowledge of algorithms and data structures
• Knowledge of software development processes (revision control, CD/CI, etc.)
• Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
• Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators