Top Python Jobs in Toronto

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

The Motion Planning & Controls Engineer will develop software for robot motion, implementing algorithms for optimized control and ensuring performance and safety.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Owner of enterprise customer technical and commercial health: debug integrations, trace API/webhook failures, build dashboards with SQL, lead QBRs and renewals, drive expansion and product adoption, create runbooks, and relay technical feedback to Product and Engineering.

Own technical pre-sales for enterprise delivery deals: run discovery, build tailored demos and POCs, guide engineering through API integrations to first live orders, produce integration specs, respond to RFPs/security questionnaires, and hand off to post-sales while informing product roadmap.

Develop RTL for digital blocks, perform lint/CDC analysis and DFT support, assist in writing functional tests and simple UVM components, collaborate on verification and coverage closure, support AMS co-simulation and mixed-signal integration, and work with physical design on synthesis and timing.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.

Lead technical pre-sales for enterprise contact-centre AI deals: perform discovery and architecture assessments, design solutions, run demos and POCs, author RFP/RFI technical responses, engage technical stakeholders, and ensure delivery readiness and competitive positioning across assigned region.

Own and drive the architecture and roadmap of ClickUp's data platform. Build scalable, reliable data pipelines and AI/ML infrastructure using AWS serverless, Snowflake, dbt, and Terraform. Lead cross-team technical initiatives, optimize cloud costs, establish engineering standards (observability, testing, CI/CD), mentor senior engineers, and influence org-wide architecture decisions.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Join the Blocks team to develop and maintain the backend core infrastructure of Pigment's SaaS platform, ensuring scalability and performance. Collaborate with multiple teams to deliver impactful solutions.

As a DevOps Engineer, you'll automate backend infrastructure, streamline deployments, manage cloud services, and enforce security best practices for scalable and reliable systems.

The DevOps Engineer - Mobile will design and maintain CI/CD pipelines for iOS and Android apps, automate workflows, manage cloud infrastructure, and enforce security best practices.

The DevOps Engineer will design, automate, and maintain backend infrastructure, streamline deployments, manage cloud environments, and monitor systems to ensure reliability and cost-effectiveness.

The Robotics Engineer will design and tune control systems, integrate hardware and software, and work with a team to enhance robot behaviors, emphasizing hands-on experience with robotics and embedded systems.

As an intern, you'll develop software and machine learning systems for robots, focusing on perception, intelligence, behavior, and real-time software integration.

The ML Engineer will develop and advance multimodal models for robot perception and behavior, integrating these systems into hardware while collaborating closely with robotics engineers.

The Data Scientist 2 will engage in the full data science lifecycle, including data extraction, model development, and deployment to meet business needs.

As a Staff Full Stack Software Engineer, you will design and build foundational infrastructure, develop enterprise features, and ensure system reliability handling sensitive legal data.

As an Engineering Manager at Harvey, you will lead a full-stack team, oversee core product delivery, and ensure high-quality user experiences by combining technical design and product vision.

As a Data Scientist II, you will build and deliver data science solutions, validate models, support teams, and communicate insights to stakeholders.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.

As a Senior or Staff Software Engineer on the Localization team, you will design algorithms for state estimation systems, optimizing multi-sensor data fusion for real-time vehicle localization in autonomous driving.

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.