High-Performance Computing Engineer
February 15
Description
• Agnostiq is a Toronto based startup developing software for the quantum era. • Agnostiq is the team behind Covalent, a Pythonic workflow tool designed for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources, including quantum computers, HPC clusters, GPU arrays, and cloud services. • We’re hiring a software engineer specializing in High-Performance Computing to help us develop production-grade software tools for distributed HPC applications. • The ideal candidate will have an expert understanding of computational techniques in at least one domain of scientific applications, including prior hands-on experience with building and maintaining scientific software. • Candidates should have experience working with HPC technologies either in the cloud or in large-scale HPC centers. • Due to our startup nature, the candidate must be comfortable initiating and taking on new projects independently and with limited supervision.
Requirements
• A PhD in Physics, Computer Science, Math, or a related field is strongly preferred (candidates without a PhD who nevertheless have a strong scientific research track record will be considered). • Familiarity with HPC architectures, including schedulers, storage systems, and transport protocols. • Strong understanding of classical machine learning techniques. • Strong experience developing and maintaining scientific software. • Strong communication and problem-solving skills. • Familiarity with recent trends and emerging technologies in HPC. • Nice-to-haves: - Experience with Python, Terraform, and Go. - Prior experience in the field of quantum computing. - Experience with cloud-based batch processing technologies. - Experience with benchmarking and/or load testing on HPC systems. - Comfortable with Linux systems administration.
Benefits
• None mentioned in the job opening.
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