Staff Backend Software Engineer: Streaming jobs in United States
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Archetype AI · 22 hours ago

Staff Backend Software Engineer: Streaming

Archetype AI is developing an innovative AI platform aimed at transforming real-world data into valuable insights. The role involves designing and developing scalable data streaming services, collaborating with various teams to implement cutting-edge AI capabilities in production.

Artificial Intelligence (AI)Information TechnologySoftware

Responsibilities

Architect, implement, and maintain real-time data streaming systems that support high-throughput, low-latency data services (e.g. sensor data edge-to-cloud streaming)
Continuously optimize real-time streaming performance from client-to-cloud for a wide range of real-time sensor data types (e.g. video, time series, sensor logs, lidar, radar, audio)
Build tooling and observability to monitor system health, identify bottlenecks, and proactively resolve instability
Introduce new techniques, architectures, and best practices to push the limits of scalability, efficiency, and reliability
Own problems end-to-end—from design to deployment—with a strong bias toward quality, automation, and continuous improvement
Balance rapid iteration on early-stage systems with long-term maintainability and architectural soundness
Contribute to a culture of engineering excellence, mentorship, and team-first collaboration

Qualification

Real-time data streamingData streaming protocolsCloud environmentsCustom streaming technologiesDistributed systemsMultiple programming languagesDebugging skillsExcellenceCollaborationOwnershipMotivation

Required

7+ years of professional software engineering experience, with a focus on real-time data streaming (e.g. video, audio, message streams)
Deep understanding of data streaming protocols, including modern networking protocols (e.g. QUIC)
Experience designing and optimizing custom streaming technologies for real-time data transfer
Ability to design APIs for real-time and near-real-time data streaming use cases
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

Proven track record of scaling systems through rapid growth and rebuilding or refactoring for new demands
Experience building systems that degrade gracefully under load: back pressure, rate limiting, circuit breaking, bulk heading, and queuing
Strong understanding of failure modes in distributed systems and mitigation techniques
Proven experience owning high-availability services (e.g., SLOs, incident response, on-call), including capacity planning and load testing
Proficiency in multiple programming languages (e.g., Rust, C++, Python)
Experience designing internal tools or platforms to support developer productivity and experimentation
Strong product intuition, and ability to collaborate closely with cross-functional teams including research and design

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