# Cloud Inference Engineer at Modular

Modular is hiring a Cloud Inference Engineer for a remote role open to applicants in United States. It pays $180k-$270k a year and Level rates it Builds AI ●●●●; you can [apply on Modular](https://jobsbylevel.com/go/a1cd4a9c-52f5-475b-b32b-5c3ead824587?utm_medium=ai-agent).

AI Level 4, AI centrality 84 out of 100. Remote (United States - Remote).

## Details

- Company: [Modular](https://jobsbylevel.com/companies/modular)
- AI level: AI Level 4 (score 84 out of 100)
- Location: Remote (United States - Remote)
- Salary: $180k-$270k
- Posted: January 15, 2026
- Apply: https://jobsbylevel.com/go/a1cd4a9c-52f5-475b-b32b-5c3ead824587?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=cloud-inference-engineer-at-modular-e19975

## Description

About Modular At Modular, a Qualcomm company , 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: 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. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering or related work experience. AND 2+ years of work experience with Programming Language such as Python, Mojo, Rust, C++, etc. 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/cloud-inference-engineer-at-modular-e19975

Source: https://jobsbylevel.com/jobs/cloud-inference-engineer-at-modular-e19975

## Cite this page

Level. https://jobsbylevel.com/jobs/cloud-inference-engineer-at-modular-e19975.

Get job alerts: https://jobsbylevel.com/newsletter