Platform Engineer

About Modular

At Modular, we're on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we're empowering everyone to unlock AI's full potential and tackle some of the world's most pressing challenges.

If you're passionate about shaping the future of AI and creating tools that make a real difference in people's lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.

About the role:

Within the Modular Platform Engineering group, we seek to understand and apply the capabilities that drive software delivery performance  are heavily data driven and make use of the dora metrics to track progress as we run experiments to determine the impact of our team's initiatives and investments.

We are looking for candidates based on both their breadth and depth of experience from any number of specialties such as software engineering, IAAS and PAAS, test, build, compiler, kernel, hardware, machine learning and more. We focus on compounding improvements of customer value delivery and exponential gains in velocity and quality. The goal is to bring together diverse, collaborative teams for intensive project work.

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 software development life cycle n our world-leading AI infrastructure team and help drive our AI infrastructure stack forward.

LOCATION:

Candidates based in the US or Canada are welcome to apply. You can work out of one of our offices in Los Altos, CA, or remotely from home.

What you will do:

* Build monitoring, alerting and observability for Modular Software Development Life Cycle services.

* Support internal engineers to help facilitate the future of ML software stacks.

* Develop highly reliable and scalable services for developing, testing, and benchmarking across diverse OS and hardware targets.

What you bring to the table:

* 4+ years of systems design experience such as distributed systems, high-performance concurrency, etc.

* Experience building, deploying, and supporting cloud services (bonus points for multi-cloud)

* Ability to create durable, reusable software frameworks that are leveraged across teams and functions

* Develops secure and high-quality production code, and reviews and debugs code written by others

* Experience with one or more cloud application programming languages (C, C++, Java, C#, Go etc.) and modern scripting languages (Bash, Python, etc).

* Strong collaboration skills, ability to share information with internal and external engineering and product teams.

* Experience, or deep interest, in machine learning technologies and use cases.

* Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture.

* 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.

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