Top Python Jobs in Toronto

The Data Governance Lead will oversee data governance frameworks, manage metadata, ensure data quality, and collaborate with stakeholders on data policies.

The Data Scientist will support model development for personalization and customer engagement, analyze data, and integrate models into production workflows.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.

Join the Inference Core Model Bringup team to bring up ML models on Cerebras CSX systems, focusing on performance, optimization, and debugging.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

Lead and mentor a software engineering team, architect automation frameworks, establish CI/CD pipelines, and enhance software development processes for silicon tools and infrastructure.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

Acting as part of DFT methodology at Alphawave, the role involves architecting DFT methodologies, automating RTL, and developing verification solutions for SoC designs.

Lead the embedded firmware team in delivering high-performance SerDes PHY solutions, defining architecture, coordinating cross-functional efforts, and resolving complex issues throughout product lifecycle.

The Principal DFT Engineer develops and supports DFT methodologies, architects RTL-centric systems, and automates verification processes for SoC and IP designs.

Lead the firmware and software development for high-speed SerDes PHYs, managing a team of engineers and ensuring project success through lifecycle ownership.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

The Cloud and DevOps Developer will provide cloud infrastructure builds, implement DevOps best practices, and participate in Agile project delivery.

Lead design SoC verification for connectivity networking products, collaborating with cross-functional teams and improving verification methodologies.

As a Senior SI/PI Engineer, you'll design and optimize high-speed interconnects, conducting simulations and validation to ensure signal and power integrity in various systems.

The Cloud and DevOps Developer will implement DevOps best practices, design cloud solutions, collaborate with teams, and manage infrastructure projects.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

The Research Engineer will develop online mapping algorithms, collaborate on datasets, and contribute to ML solutions for autonomous vehicles.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

As a Senior Perception Engineer, you will develop and deploy perception algorithms for self-driving vehicles, ensuring quality and collaboration within a multidisciplinary team, while publishing research findings.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.