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:

ML developers today face significant friction in taking trained models into deployment. They work in a highly fragmented space, with incomplete and patchwork solutions that require significant performance tuning and non-generalizable/ model-specific enhancements. At Modular, we are building the next generation AI platform that will radically improve the way developers build and deploy AI models.

A core part of this offering is providing a platform that allows customers to achieve state-of-the-art performance across model families and frameworks. As an AI GPU Performance Engineer, you will work with leading experts on performance libraries for GPUs. You will understand, analyze, profile, and optimize AI workloads on state-of-the-art hardware and software platforms. You will also identify bottlenecks and inefficiencies in application code and propose optimizations to enhance GPU utilization.

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

What you will do:

Design, develop, and optimize high-performance AI numeric and data manipulation kernels/operators for GPUs.
Achieve state-of-the-art performance by leveraging software and micro-architectural features of GPUs.
Work with compiler, framework, runtime, and serving teams to deliver end-to-end performance that fully utilizes GPU workstations and servers.
Collaborate with machine learning researchers to guide system development for future ML trends.

What you bring to the table:

Deep understanding of computer architecture (memory hierarchies, caching, etc.) and their impact on algorithm design.
3+ years of relevant experience working on complex code and software systems.
Self motivated and independent with the ability to execute on agreed upon specifications.
Experience with GPU programming languages such as CUDA or OpenCL.
Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture.

The estimated base salary range for this role to be performed in the US, regardless of the state, is $135,000 - $242,000 USD.

The estimated base salary range for this role to be performed in Canada is $127,500 - $228,500 CAD.

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 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.
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.

Compensation Overview

About Modular

About the role:

What you will do:

What you bring to the table:

What Modular brings to the table:

6 month growth

1 year growth

2 year growth

Simplify's Take

What believers are saying

What critics are saying

What makes Modular unique