CentML

HQ
Toronto, Ontario, CAN
Total Offices: 2
50 Total Employees
Year Founded: 2022

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Jobs at CentML

Search the 6 jobs at CentML

Recently posted jobs

5 Hours Ago
8 Locations
Hybrid
Machine Learning • Software
As a Senior Product Manager, you will lead the strategy and execution of products that optimize AI systems. Your responsibilities include developing a product vision, conducting market research, collaborating with cross-functional teams, defining product requirements, and ensuring successful product delivery, all while engaging with customers to refine features and deliver value.
5 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
As a Senior Software Engineer for LLM inference, you will write scalable, high-quality code for backend software, perform benchmarking and profiling for GPU applications, and conduct tests on the inference pipeline while collaborating with diverse teams.
5 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
Develop high-performance, power-efficient datacenter solutions for Deep Learning. Optimize GPU kernels, write tests, and benchmarks to evaluate solutions. Communicate with product teams to understand and address performance issues.
5 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
Build customer-facing applications, craft performant solutions, participate in code reviews, ensure quality and efficiency, meet customer and business needs.
5 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
As a Senior Software Engineer, you will optimize high-performance GPU kernels for Deep Learning applications by profiling ML/DL workloads, identifying performance bottlenecks, and enhancing system architecture. You’ll also develop tests and benchmarks to validate solutions.
10 Days Ago
Toronto, ON, CAN
Remote
Machine Learning • Software
The Software Engineer will contribute to the design and development of the CentML platform, focusing on scalable systems for large-scale machine learning workloads. Responsibilities include building solutions for ML training and inference on GPU clusters and collaborating with product teams to define use cases and performance benchmarks.