Staff Backend Engineer - Distributed Systems jobs in United States
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Archetype AI · 1 week ago

Staff Backend Engineer - Distributed Systems

Archetype AI is developing the world's first AI platform to bring AI into the real world. As a Staff Backend Engineer, you will lead the design and scaling of core backend systems for their AI platform, collaborating with ML researchers and product teams to ensure performance and reliability.

Artificial Intelligence (AI)Information TechnologySoftware

Responsibilities

Lead the architecture, design, and implementation of distributed systems supporting high-throughput, low-latency AI model inference and data services
Collaborate with ML researchers and product teams to transition experimental models into production-grade systems
Define technical strategy and best practices for backend systems, including GPU clusters, cloud infrastructure, and distributed data pipelines
Drive performance optimization, reliability, and operational excellence across large-scale systems
Build internal tools, monitoring, and observability frameworks to proactively detect and resolve issues
Introduce innovative architectures, techniques, and automation to maximize scalability, efficiency, and reliability
Mentor engineers, lead by example, and foster a culture of engineering excellence, knowledge sharing, and collaboration
Balance rapid iteration on early-stage systems with long-term architectural soundness and maintainability
Take ownership of end-to-end problem solving—from design through deployment—ensuring high quality and robust delivery

Qualification

Distributed systemsCloud environmentsPerformance optimizationDebugging skillsObservability skillsMentoring engineersTechnical ownershipCollaboration

Required

7+ years of professional software engineering experience, with a focus on backend or distributed systems
Deep understanding of distributed systems fundamentals—concurrency, consistency, replication, fault tolerance, networking
Experience building and operating production-grade systems at scale in cloud environments (e.g., Azure, AWS, GCP)
Strong debugging, instrumentation, and observability skills across distributed systems
Demonstrated ownership of complex technical problems and ability to learn and adapt quickly

Preferred

7+ years of professional software engineering experience, with deep expertise in backend or distributed systems
Strong understanding of distributed systems fundamentals: concurrency, consistency, replication, fault tolerance, and networking
Experience building and operating production-grade systems at scale in cloud environments (AWS, GCP, Azure)
Advanced debugging, instrumentation, and observability skills across complex distributed systems
Proven ownership of complex technical problems and ability to drive them to completion
Experience mentoring engineers and influencing architectural decisions across teams

Company

Archetype AI

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Archetype AI develops Physical AI agents that harness real-world sensor data to enhance decision-making and automate processes.

Funding

Current Stage
Early Stage
Total Funding
$48M
Key Investors
Hitachi Ventures,IAG Capital PartnersComcast NBCUniversal LIFT LabsVenrock
2025-11-20Series A· $35M
2024-10-20Non Equity Assistance
2024-04-05Seed· $13M

Leadership Team

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Jaime Lien
Co-Founder & Chief Scientist
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Nick Gillian
Founder, CTO
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Company data provided by crunchbase