Archetype
Product Engineer, Platform
San Mateo, California, US · Full-time · Posted Sep 24, 2026
- Experience
- 4–8+ years of professional engineering experience.
About the job
Builds and operates backend platform capabilities that turn Archetype AI’s physical-world AI capabilities into resilient production services across cloud, customer VPC, on-premises, and edge deployments.
What you'll do
- Design, build, ship, operate, and iterate on backend services, REST/Python APIs, and agent runtimes.
- Create versioned, observable, multi-tenant production paths for new Newton capabilities and support multiple deployment models.
- Operate services using SLOs, tracing, metrics, logs, and on-call; debug across code, datastores, queues, and Kubernetes.
What they ask for
- 4–8+ years of professional engineering experience in backend, distributed systems, or developer platforms.
- Production experience in Rust, Python, Go, or C++; Rust is strongly preferred, with daily use expected.
- Experience designing, building, and operating production cloud services with Kubernetes and CI/CD.
- Practical distributed-systems experience, product judgment around APIs or infrastructure, and daily use of coding agents.
Nice to have
- ML platform experience, such as model serving, GPU job scheduling, experiment tracking, or feature/data pipelines.
- Experience with on-prem, hybrid, or customer-VPC deployments; multi-tenant SaaS; industrial/IoT protocols; or streaming media/sensor pipelines.
Tools
Rust, Python, Go, C++, AWS, GCP, Azure, Kubernetes
AI focus
Builds production infrastructure for Newton’s AI capabilities; daily AI-assisted development using coding agents is expected.
Model-written summary · the original posting is authoritative