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Backend Engineer

Matternet - Mountain View, CA, United States - In-office - posted 2026-10-16

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Salary: USD 160,000 - 205,000 / annual

Matternet is building autonomous drone networks for delivery of critical goods across healthcare, logistics, food, and retail. The company is seeking a Backend Engineer to join the platform team building the cloud infrastructure for M3, the next-generation aircraft. You will build and own well-scoped backend services and APIs that integrate M3 aircraft into delivery operations. Key responsibilities include: - Design, build, and maintain backend services and APIs that integrate M3 aircraft into delivery operations - Build and extend data pipelines that ingest and process M3 flight, vehicle, and telemetry data - Write well-tested, observable, and maintainable code; participate actively in code review - Operate services in production by deploying, monitoring, and debugging - Provide technical support by triaging production and field issues - Collaborate with onboard software, operations, product, and safety teams This is a hands-on role in a safety-critical environment, working with Node.js/TypeScript services, APIs, data pipelines, and operational tooling. You'll work closely with senior engineers on design and grow toward owning larger platform components over time. REQUIREMENTS: - 3+ years building and operating production backend systems - Backend proficiency in Node.js/TypeScript, or comparable modern language with ability to ramp quickly - Solid fundamentals in API design, relational databases, and data modeling - Working experience with cloud infrastructure, containers, and CI/CD - Strong debugging instincts and sense of ownership for production code - Clear communication and eagerness to seek and apply feedback PREFERRED QUALIFICATIONS: - Experience with fleet management, IoT/telemetry, or robotics systems - Familiarity with event streaming or real-time messaging - Experience building with NestJS - Exposure to hardware-software integration or new device bring-up - UAV, aerospace, logistics, or operationally critical domain experience - Experience using AI coding assistants to accelerate development

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