Modular

Platform Engineer, Performance Infrastructure

US Canada
USD 166k - 286k
GCP Terraform Docker Machine Learning AWS Kubernetes Go Python TensorFlow PyTorch Azure
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Description

About Modular

We believe that AI is a net positive force in the world. Our vision and mission are to help rebuild AI infrastructure to advance humanity and our environment. We will do whatever it takes to empower our customers, team, and company to benefit from that pursuit. You can read about our culture and careers here to understand how we work and what we value.

We are owners and advocates for the underlying technologies, developer platforms, product components, and infrastructure. These essential building blocks form the high-quality and coherent experiences our users expect. We aim to drive the pace of innovation for every AI/ML developer.

About the role:

The Performance Infrastructure Team is responsible for obtaining and understanding model and kernel (and more!) performance at Modular. We ensure that all performance experiments and comparisons at Modular are transparent, reproducible, and fair.

We are looking for candidates based on their depth of experience in roles such as dev ops, SRE, or (cloud) infrastructure engineering. The goal is to bring together diverse, collaborative teams for intensive project work. Candidates must be interested in building tools to help developers understand both the what and the why of performance, and architecting and maintaining the systems that power those tools.

We are a growing team who collaborate across disciplines on a day to day basis. A strong cross-collaborator is a must. Come and be part of our team and architect our performance infrastructure at Modular. Join our world-leading AI infrastructure team and help drive our AI infrastructure stack forward.

LOCATION: Candidates based in North America or Canada are welcome to apply. You can work remotely from home.

What you will do:

  • Build monitoring, alerting, and observability platforms for benchmarking SOTA performance at Modular.
  • Maintain benchmark clusters across a range of cloud providers.
  • Collaborate with open-source engineers to help facilitate the future of ML software stacks.
  • Develop highly reliable and scalable benchmark systems across diverse OS and hardware targets.

What you bring to the table:

  • 7+ years of experience developing and operating large-scale cloud platforms, services and infrastructure across at least one major cloud environment (AWS, Azure, or GCP).
  • Experience with implementing Infrastructure as Code and GitOps solutions (Terraform, Pulumi, Flux, Argo, etc.).
  • Experience with Linux, Docker, and Kubernetes.
  • Experience with at least one programming language (Go, Python, etc.).
  • Experience cloud and application security best practices.
  • Experience using open source software components in production.
  • Devotion to quality and engineering excellence.
  • Strong written and verbal communication skills.
  • Strongly identifies with our core company cultural values.

Helpful but not required:

  • LLVM, MLIR, or Python experience is a bonus.
  • Experience with working on or contributing to a major machine learning framework such as TensorFlow, PyTorch, and/or ONNX/ONNXRuntime is a bonus.
  • Experience managing systems using major cloud platforms, including AWS and/or GCP.

The estimated base salary range for this role to be performed in the US, regardless of the state, is $166,500.00 - $286,000.00 USD. 

Th
e salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.

For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised. 

 

What Modular brings to the table:

  • Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
  • Flexible Location. We want you to work where you are most productive and we are a remote-first company. We have offices in Palo Alto, CA and Seattle, WA for collaboration, and will open more next year.
  • World-class Benefits. In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, very generous WFH setup stipends, flexible paid time off, and more are available to you! Please note that specific benefit packages may vary based on your location.
  • Competitive Compensation. We offer very strong compensation packages, including stock options. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce. 
  • Team Building Events. We organize regular team onsites and local meetups in different cities.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

Modular is proud to emphasize an equal opportunity, safe environment for people to do their best work. Modular is an affirmative action employer. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you require reasonable accommodations to participate in the interview process, please let your recruiter know, and we will work with you to meet your needs in compliance with the ADA.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

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