Infrastructure Software Engineer
Etched · San Jose
About this role
## Infrastructure Software Engineer ### About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference, backed by hundreds of millions from top-tier investors and staffed by leading engineers. ### Role Summary Building cutting-edge model-specific ASICs requires crafting custom infrastructure and toolchains to support ultra-fast, reliable, and scalable development across the stack—from simulation to silicon. You’ll lead the development and adoption of next-generation infrastructure tooling to help Etched engineers iterate faster, build more reliably, and push AI performance boundaries. You’ll also build and scale a hybrid high-performance compute (HPC) cluster optimized for massively parallel CI, EDA workflows, emulation, and hardware-aware job execution. Additionally, you’ll architect a state-of-the-art observability stack with LLM integration and a strong emphasis on streaming health and performance telemetry (metrics, logs, tracing, insight generation, synthetic testing, and smart alerting) across CI pipelines, simulation clusters, and service endpoints. ### Key Responsibilities - Design and build orchestration layers that drive hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale. - Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the stack. - Create tools and abstractions that empower engineers to harness massive parallelism without worrying about underlying complexity. - Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends. - Implement real-time telemetry and tracing systems that surface insights from millions of metrics for proactive debugging and optimization. - Build a full observability stack (dashboards, alerting, automated responses, and synthetic testing) to proactively test infrastructure performance and reliability across application and data flows. ### Representative Projects - Design and deploy a fully automated, scalable hybrid HPC cluster using bare-metal servers and switches plus cloud instances, provisioned via MaaS and orchestrated via SLURM and Kubernetes. - Develop real-time observability for ASIC toolchain jobs and distributed builds (e.g., Prometheus, Grafana, VictoriaMetrics) with streaming telemetry, tracing, and alerting to detect performance regressions early. - Architect and implement a programmable infrastructure-as-code control plane (Terraform, Ansible, Puppet) for versioning, auditing, and deterministic redeployments. - Create a zero-downtime interactive development environment that provisions and connects Jupyter and VS Code sessions to GPUs and high-memory nodes via a secure zero-trust network. - Prototype dynamic workload migration strategies between on-prem and cloud to optimize latency, reliability, and cost across simulation and synthesis pipelines. - Design synthetic testing and fault injection to validate infrastructure behavior under high load, degraded hardware, and intermittent network partitions. ### You May Be a Good Fit If You - Are a syst
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