Top Tech Jobs & Startup Jobs in Montreal

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead Cohere's policy engagement on compute infrastructure, export controls, sovereign AI, and national AI competitiveness. Monitor and analyze relevant developments, develop policy positions, engage governments and cross-functional teams, represent Cohere in public discussions, and produce policy analysis and thought leadership to inform strategic business opportunities and public-private partnerships.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Lead Cohere’s corporate development strategy across M&A, strategic partnerships, market expansion, and government relationships. Evaluate acquisitions and investments, lead due diligence and post-merger integration, develop market-entry and partnership frameworks, negotiate complex alliances, and create joint go-to-market strategies. The role partners closely with product, engineering, legal, finance, sales, marketing, policy, and government relations teams to support sovereign AI deployments, regulatory compliance, revenue growth, and international expansion.

The role involves managing Cohere's platform for developers and enterprises, overseeing APIs, SDKs, and tooling for improved integration and user experience.

Manage the full contract lifecycle and contract operations: triage requests, draft and maintain standard agreements and templates, manage document systems and approvals, monitor compliance and key dates, analyze contract data, and collaborate with Sales, Product, and Finance to streamline contract workflows and reporting.

Lead and mentor a GPU infrastructure engineering team to design, deploy, and scale GPU/TPU clusters. Define technical roadmap, implement topology-aware scheduling, monitoring, IaC, and cost/capacity optimization. Collaborate with AI researchers, cloud providers, and cross-functional teams to ensure reliable, secure, and performant infrastructure.

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.