Senior Software Engineer, Infrastructure

CentML; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A technology company in Toronto is seeking a Senior Software Engineer for their infrastructure team. The role involves designing and maintaining deployment systems for machine learning models, requiring strong experience with containerized systems and cloud services. The ideal candidate will enjoy a supportive work culture with benefits such as flexible vacation and health coverage.

Benefits

Twice a week free lunch

Full health and dental benefits

Generous vacation policies

Employee stock options

Parental Leave top-up for 6 months

Qualifications

• 4+ years of experience working with containerized deployment systems.
• Experience with cloud infrastructure management.
• Strong coding skills in languages like Python, Java, Go, and C/C++.

Responsibilities

• Design and lead the development of the deployment infrastructure.
• Implement GPU cluster scheduling solutions.
• Communicate with product teams to define features.

Skills

Containerized deployment systems

Kubernetes

AWS

Python

C/C++

Tools

Terraform

Docker

Job description

Senior Software Engineer, Infrastructure

We are a small team with a big ambition of making modern machine learning accessible for everyone. At CentML, our mission is to enable anyone with an idea to deploy ML models without breaking the bank. We believe that modern AI will fundamentally transform how people work and live and we're here to help bring that future sooner.

Our founding team is made up of experts in AI, compilers and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems with a publication history of top papers and multiple academic and industry research awards from Google, Amazon, and Facebook.

Position Overview :

We are seeking a highly motivated and skilled senior infrastructure engineer to join our team in a key role focused on designing, developing, and maintaining the CentML platform that offers a cost effective infrastructure for serving and training large scale machine learning models. As an infrastructure engineer, you will be responsible for laying out the design of a deployment infrastructure for ML training and inference jobs over GPU clusters that spans across multiple cloud service providers like AWS, GCP, Azure, Coreweave, and OCI. You should also be responsible for leading a team of engineers and building a scalable, performant, and reliable platform, enabling our customers to seamlessly access and utilize a comprehensive suite of ML services that we offer.

Responsibilities :

• Design and lead the development of the deployment infrastructure of the CentML platform. The deployment infrastructure manages the hardware resources necessary to deploy the ML training and inference applications.
• Implementing GPU cluster scheduling solutions for large scale ML training and inference workloads to efficiently utilize the hardware resources in the GPU cluster.
• Communicate with our product teams and define new features and goals for improving the CentML platform.

Qualifications :

• 4+ years of experience working with containerized deployment systems (e.g, kubernetes, openshift, terraform etc.).
• A big plus if you have contributed to kubernetes and have expertise in container runtime technologies like docker engine, containerd, or CRI-O
• Experience with deploying and managing cloud infrastructure on AWS, GCP, Azure
• Past experience in building GPU clusters for large scale ML training and inference is desirable.
• Knowledge in GPU architecture and Nvidia GPU virtualization technologies is highly desirable.
• Strong coding skills in languages like Python, Java, Go, and / or C / C++.
• An open and inclusive culture and work environment
• Twice a week free-lunch
• Full health and dental benefits
• Parental Leave top-up for 6 months
• Continuous education budget
• Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask
• An open and inclusive work environment
• Employee stock options
• Best-in-class medical and dental benefits
• Parental Leave top-up for 6 months
• Flexible vacation time to promote a healthy work-life blend

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

CentML strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.

Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Software Development

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Senior Software Engineer • Toronto, ON, Canada