Hardware Infrastructure Engineer

Hardware Infrastructure Engineer

San Jose, CA OR Pittsburgh, PA OR Austin, TX

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, 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 & Artifact Management: Operate and maintain PyPI services (e.g., private package indexes, mirrors, and proxies) and other artifact repositories used by development and CI/CD workflows
• Release Engineering: Support release workflows, artifact management, versioning, and deployment automation for services and embedded firmware across teams
• Standards & Best Practices: Define and evangelize CI/CD best practices, branch protection policies, testing standards, and security/secret-management practices across the organization
• Cross-Team Coordination: Partner with leads from each development team to align CI/CD roadmaps, plan migrations, prioritize improvements, and communicate changes that affect developer workflows
• Documentation & Enablement: Produce clear technical documentation, onboarding guides, and runbooks; provide training and office hours to help teams adopt and contribute to shared CI/CD infrastructure

Required Qualifications & Experience

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field — or equivalent practical experience
• 5+ years of professional experience in a related infrastructure, DevOps, test engineering, or full-stack systems role
• Hands-on embedded hardware and software development experience, including working with embedded toolchains and bring-up of new hardware platforms
• Demonstrated experience owning CI/CD systems that serve multiple development teams or a large engineering organization
• Strong proficiency in Go, including experience building production services with APIs and WebSockets
• Demonstrated ability to write, debug, and maintain systems-level or test code in C/C++
• Solid experience using Python for tooling, automation, and scripting
• Hands-on experience operating and maintaining multi-cluster environments in Kubernetes, including queueing and load balancing patterns
• Proficient at writing Dockerfiles, building/pushing images, and managing complex toolchain containers in Docker
• Practical experience with PostgreSQL (operations workloads) and Redis (caching)
• Deep experience designing and maintaining GitHub Actions pipelines, including reusable workflows, composite actions, matrix builds, caching, and self-hosted runners
• Hands-on experience with cloud-based CI/CD infrastructure, including managed/ephemeral runners, distributed caching strategies, and artifact/object storage
• Experience operating or integrating with PyPI services (private indexes, mirrors, or proxies) and managing Python package distribution in CI/CD environments
• Proven ability to support and influence multiple engineering teams, balancing competing priorities and driving shared standards
• Excellent written, verbal, and technical communication skills, with the ability to clearly document systems, lead discussions across teams, and produce developer-facing materials

Desired Qualifications & Experience

• Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Experience with JTAG/SWD debugging tools and workflows
• Familiarity with energy and power measurement tools (e.g., power monitors, current probes, instrumented test fixtures)
• Experience designing hardware-in-the-loop (HIL) test systems or large-scale automated benchmarking infrastructure
• Background in performance profiling, benchmark design, or comparative hardware analysis.
• Experience operating developer productivity / build engineering functions at scale, including metrics-driven improvements (e.g., DORA metrics, CI/CD cycle time, flaky test reduction)
• Familiarity with release engineering practices for both cloud services and embedded firmware.
• Experience with secrets management and CI/CD security best practices
• Experience administering artifact/package ecosystems

We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.

Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.