Backend Engineer, Multi-cloud Inference Platform

🕒 November 3

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California – Remote

🏄 California – Remote

💵 $180k - $270k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

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Modular

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100.5G Series B on 2023-08

Artificial Intelligence • Enterprise

Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world. The company focuses on enabling AI to be accessible to anyone, anywhere, leveraging specialties in machine learning, AI technologies, and platforms such as TensorFlow and PyTorch, along with hardware solutions.

📋 Description

• Build the multi-cloud, multi-tenant platform powering Modular’s inference services • Build fault-tolerant, low-toil services using resources across Tier 1 cloud providers and neoclouds • Improve operational excellence through request-to-kernel observability, multi-cloud deployments, cold-start optimizations, and more • Build Helm charts and Kubernetes operators for simple, effective, maintainable deployments • Work on end-to-end distributed LLM inference deployments • Help create a repeatable, observable, productive, low-toil platform for managing inference deployments • Travel to team building events 2-4 times a year

🎯 Requirements

• Candidates based in the US or Canada are welcome to apply • 5+ years of experience working in backend engineering • Experience with service oriented architecture and distributed systems • Experience with cloud providers (AWS, GCP, Azure, neoclouds) • Experience with Kubernetes and operating your own services • Experience in machine learning technologies and use cases • 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 and 3+ years; OR PhD and 2+ years • 2+ years of work experience with a programming language such as Python, Mojo, Rust, C++, etc. • Practical experience implementing and maintaining security in multi-tenancy environments is helpful but not required • Experience working on high-scale ML inference infrastructure is helpful but not required • Familiarity with Golang is helpful but not required • Must be authorized to work in the U.S. as described through E-Verify

🏖️ Benefits

• Comprehensive healthcare coverage • Retirement and savings programs • Employee stock purchase opportunities • Paid time off • Wellbeing resources • Family support programs • Learning and development opportunities • RSU grants • Regular team onsites and local meetups • Travel to team building events 2-4 times a year

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