Description
Cloud Inference Engineer
Location: United States / Canada
Department: Cloud Inference
Location Type: REMOTE
Employment Type: FULL_TIME
About the role:
In the Cloud Inference team, we are focused on building end to end distributed LLM inference deployments that are fully vertically integrated with the MAX stack.
Our goal is to make inference both the fastest and most scalable while also building an easiest platform for deploying and scaling models for enterprises and developers alike. We're seeking engineers who are passionate about pushing the boundaries of distributed inference systems and enjoy working at the intersection of large-scale systems and machine learning. We are looking for candidates based on their breadth and depth of experience in backend engineering, AI inference, and distributed systems development. If this sounds exciting, we invite you to join our world-leading AI infrastructure team and help drive our industry forward!
LOCATION: Candidates based in the US or Canada are welcome to apply. You can work out of our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in-person in our Los Altos, CA office.
What you will do:
- Build & ship a LLM focused inference platform using best in class inference techniques (disaggregated inference, multi-node deployment of large models, high performance networking, distributed kv-cache management, high throughput batch processing, etc)
- Push the envelope for operational excellence with request-to-kernel observability, multi-cloud deployments, clever autoscaling, cold-start optimizations, and more.
- Collaborate with our kernels and genAI teams to achieve SOTA application performance by integrating SOTA kernel & serving optimizations with SOTA cluster optimizations.
- Build helm charts, kubernetes operators, and more to make a create simple, effective, maintainable deployments.
What you bring to the table:
- 5+ years of experience working in backend engineering
- Experience with kubernetes and operating your own services
- Ability to create durable, reusable software tools and libraries that are leveraged across teams and functions
- Experience 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
- Strongly identifies with our core company cultural values.
Helpful but not required:
- Experience with high performance computing / networking
- Experience working on high scale ML inference infrastructure (traditional AI or genAI)
- Familiarity with golang
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.
- World-class Benefits. In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, 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 Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.
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.
The estimated base salary range for this role to be performed in the US, regardless of the state, is $166,500.00 - $273,000.00 USD.
The estimated base salary range for this role to be performed in Canada, regardless of the province, is $158,000.00 - $258,000.00 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.
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