Top Tech Jobs & Startup Jobs in Montreal

Drive revenue and commercial adoption of NVIDIA technology across Canadian cloud partners and data center operators. Develop joint go-to-market plans, optimize infrastructure readiness, connect cloud providers with enterprise compute demand, structure complex financing deals, and build strategic alliances. Collaborate with cross-functional NVIDIA teams and global partners to grow cloud partner businesses. The role requires extensive executive engagement and at least 50% travel throughout Canada.

Leads a distributed team of security and infrastructure engineers responsible for securing NVIDIA’s large-scale DGX Cloud GPU fleet. Sets technical direction for security control planes and foundational services, oversees hiring and talent development, drives measurable risk reduction, and ensures operationally ready engineering delivery. The role requires cross-functional influence across platform, SRE, networking, and security teams, along with expertise in cloud-native architecture, Kubernetes, identity and access, policy enforcement, and vulnerability management.

Design and build foundational security services for NVIDIA DGX Cloud’s large-scale GPU infrastructure. Develop automated Infrastructure-as-Code and Policy-as-Code enforcement, orchestration guardrails, identity and secrets services, scanning APIs, and security response systems. Integrate security products into API-first platforms and CI/CD workflows, conduct threat modeling, and secure distributed cloud-native systems. Collaborate with infrastructure, security, and product engineering teams across omni-cloud and on-premise environments.

As a Senior Formal Verification Engineer, you will verify ASICs using formal methods, collaborate multi-functionally, lead methodology enhancements, and mentor junior engineers while ensuring compliance and correctness.

Drive AI-enabled ASIC development methodology by identifying cross-stage bottlenecks, building data pipelines and metrics, creating automation and AI models, mentoring engineers, and evaluating advances in AI and EDA to improve predictability, convergence, and cycle time.