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Senior Software Engineer, Infrastructure

CentML

San Francisco (CA)

On-site

USD 130,000 - 238,000

Full time

30+ days ago

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Job summary

CentML is seeking a Senior Software Engineer, Infrastructure to design and maintain our ML platform, focusing on effective deployment for large-scale models across multiple cloud services. The successful candidate will collaborate with a skilled team to develop robust architecture in a rapidly evolving field. This position offers the chance to work in an inclusive environment with competitive benefits, including flexible vacation time and continuous education support.

Benefits

Twice a week free-lunch
Full health and dental benefits
Parental Leave top-up for 6 months
Continuous education budget
Generous vacation policy
Employee stock options
Best-in-class medical and dental benefits
Flexible vacation time to promote work-life balance

Qualifications

  • 4+ years of experience with containerized deployment systems.
  • Experience deploying and managing cloud infrastructure on AWS, GCP, Azure.
  • Strong coding skills in languages like Python, Java, Go, and/or C/C++.

Responsibilities

  • Design and lead the development of the deployment infrastructure of the CentML platform.
  • Implement GPU cluster scheduling solutions for large scale ML workloads.
  • Communicate with product teams to define new features and goals.

Skills

Kubernetes
Docker
Cloud Infrastructure Management
Python
Java
Go
C/C++

Education

Bachelor's degree in Computer Science or related field

Job description

Senior Software Engineer, Infrastructure

Join to apply for the Senior Software Engineer, Infrastructure role at CentML

Senior Software Engineer, Infrastructure

Join to apply for the Senior Software Engineer, Infrastructure role at CentML

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
  • Industries
    Software Development

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