Top Python Jobs in Toronto

As a ML processor bring-up and validation engineer, you will tune model and system parameters, debug performance bottlenecks, and develop automation frameworks for post-silicon verification. This role also involves characterization and validation of ML processors and related systems, with opportunities to work on cutting-edge AI technologies.

As a Senior Software Engineer specializing in AI compilers, you will develop and optimize compilers for semiconductor products, benchmark and analyze machine learning application performance, and integrate software into major machine learning frameworks.

The Platform Performance Architect will define technology strategy for performance profiling and optimization of a global exchange platform. Responsibilities include owning performance metrics, driving implementation of profiling tools, managing performance requirements, and supporting engineering teams for continuous improvement.

The Data Engineer will gather, curate, and preprocess large datasets, ensuring data quality and integrity. Responsibilities include exploring datasets using statistical techniques and machine learning, communicating findings through visualizations, and proposing enhancements to data processes. Collaboration with various teams is key to delivering impactful data solutions.

As an Engineering Manager for SRE, you will lead a team towards operational excellence in high-performance systems, develop talent, enhance incident management processes, and collaborate with engineering teams to implement best practices, while managing global scale operations.

As a Staff Software Engineer at Super.com, you will architect services and tackle complex technical challenges within a cross-functional team. Your role includes mentoring junior engineers, shaping the technical roadmap, and ensuring a high-quality user experience across multiple platforms by leading high-impact projects.