Top Tech Jobs & Startup Jobs in Toronto

Design, implement, and maintain TT-Fabric, a low-level high-performance networking library for large-scale AI clusters. Build scalable communication protocols, optimize synchronization and data movement for thousands of processors, integrate APIs with AI and hardware teams, and help define the distributed systems architecture to maximize hardware performance.

Develop and optimize distributed software systems for AI and HPC clusters, focusing on inter-node communication and scalable architectures.

Lead post-silicon power characterization and correlation for semiconductor products, develop measurement strategies, and improve power architectures to meet specifications.

Senior-level program manager and chief of staff supporting the CVP of Operations. Own and drive high-priority cross-functional programs from kickoff through execution, establish operating cadences, align teams on priorities, prepare leadership materials, integrate sales & operations, headcount and infrastructure planning, surface risks, and remove execution blockers to ensure organizational KPIs and milestones are met.

Build and operate AI inference deployments, write production code, debug full inference stack, collaborate with customers and engineering, and drive performance/observability improvements using Kubernetes, Helm, and LLM serving tools.

Design, implement, and optimize low-level compute kernels for parallel ML workloads. Write high-performance C/C++ code, tune instruction-level latency, memory, and bandwidth, profile and debug a low-level software stack, and collaborate with ML and hardware engineers to integrate optimizations into production ML pipelines.

Develop, deploy, and own RTL-to-GDSII physical design methodology and CAD flows for IP delivery. Automate PPA exploration, document flows, partner with design teams and EDA vendors, qualify new nodes/PDKs and EDA releases, and apply ML/LLMs where they improve flow optimization and scalability.

Design and validate high-bandwidth interconnects for AI clusters across copper and optical media. Define architectures, perform link and channel budget analysis, lead qualification and reliability testing, develop validation plans for transceivers and cables up to 1.6T, and coordinate with suppliers and manufacturing.

Lead reliability strategy for next-generation AI computing systems. Drive architecture-to-production reliability, perform root-cause analyses, validate advanced cooling, coordinate cross-disciplinary teams, engage manufacturing partners, and mentor engineers to improve uptime and durability.

As Director of Customer Engineering, manage technical customer relationships, translate needs into engineering specifications, and enhance collaboration between customer teams and internal engineering.