Hardware Infrastructure Engineer

Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution We are seeking an experienced engineer to develop, maintain, and scale ATLAS, our critical hardware regression testing and performance profiling infrastructure, while also serving as a key CI/CD owner across three development teams. ATLAS supports automated benchmarking and validation of both our company's products and competitor hardware, providing essential data that drives engineering and product decisions. In addition, the CI/CD pipelines you own will be the backbone of day-to-day development velocity across multiple teams. The ideal candidate is a versatile full-stack infrastructure engineer who is equally comfortable writing Go services, debugging embedded test programs, managing Kubernetes clusters, and partnering with developers to deliver fast, reliable CI/CD experiences. Key Responsibilities Regression Testing & Performance Profiling Infrastructure Server & Client Development: Design, implement, and maintain Go-based server and client applications, including WebSocket connections, HTTP API endpoints, feature additions, and bug fixes for our test orchestration platform Hardware Deployment, Maintenance & Troubleshooting: Install new hardware, manage deployed hardware, and perform debug and failure analysis of hardware issues. Test Program Development: Write, port, and maintain C/C++ test programs that run on a diverse set of hardware targets to measure performance, power, and functional behavior Tooling & Automation: Build Python tooling and scripts to automate workflows, parse results, generate reports, and improve developer productivity Kubernetes Infrastructure: Maintain and evolve multi-cluster Kubernetes deployments, including job queueing, load balancing, scheduling, and resource management for hardware-attached worker nodes Containerization: Build, version, and publish Docker images; author Dockerfiles for embedded toolchain environments and test runners Database Operations: Manage and optimize PostgreSQL (operations data store) and Redis (caching layer), including schema design, query optimization, migrations, and reliability improvements Reliability & Observability: Monitor system health, triage failures, perform root-cause analysis, and continually improve the resilience and performance of the infrastructure CI/CD Ownership Pipeline Design & Maintenance: Own and maintain GitHub Actions CI/CD pipelines across three development teams, ensuring consistent, reliable, and performant builds, tests, deployments, and health checks Shared CI/CD Platform: Develop reusable workflows, composite actions, and shared libraries to standardize CI/CD patterns across teams while accommodating team-specific needs Developer Experience: Act as the primary point of contact for CI/CD-related issues across teams; triage failures, unblock developers, and reduce mean-time-to-green for pull requests Build & Test Optimization: Continuously improve pipeline speed, caching strategies, runner utilization, and test parallelization to reduce CI/CD cycle times and infrastructure costs Cloud-Based CI/CD Infrastructure: Operate and optimize cloud-based CI/CD resources, including hosted and ephemeral runners, distributed build/test caching, and artifact/object storage backends Self-Hosted Runners: Manage self-hosted GitHub Actions runners, including those with hardware attachments, ensuring capacity, security, and reliability across teams Package & Ar