Hardware Infrastructure & CI/CD Engineer

Efficient Computer•San Jose, CA

4d•$160,000 - $210,000

About The Position

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.

Requirements

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
Go: Strong proficiency, including experience building production services with HTTP APIs and WebSockets
C/C++: Demonstrated ability to write, debug, and maintain systems-level or test code.
Python: Solid experience using Python for tooling, automation, and scripting
Kubernetes: Hands-on experience operating and maintaining multi-cluster environments, including queueing and load balancing patterns
Docker: Proficient at writing Dockerfiles, building/pushing images, and managing complex toolchain containers
Databases: Practical experience with PostgreSQL (operations workloads) and Redis (caching)
CI/CD: Deep experience designing and maintaining GitHub Actions pipelines, including reusable workflows, composite actions, matrix builds, caching, and self-hosted runners
Cloud-Based CI/CD: Hands-on experience with cloud-based CI/CD infrastructure, including managed/ephemeral runners, distributed caching strategies, and artifact/object storage
Package Services: Experience operating or integrating with PyPI services (private indexes, mirrors, or proxies) and managing Python package distribution in CI/CD environments
Cross-Team Collaboration: Proven ability to support and influence multiple engineering teams, balancing competing priorities and driving shared standards
Communication: Excellent written, verbal, and technical communication skills, with the ability to clearly document systems, lead discussions across teams, and produce developer-facing materials

Nice To Haves

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

Responsibilities

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
Install new hardware, manage deployed hardware, and perform debug and failure analysis of hardware issues.
Write, port, and maintain C/C++ test programs that run on a diverse set of hardware targets to measure performance, power, and functional behavior
Build Python tooling and scripts to automate workflows, parse results, generate reports, and improve developer productivity
Maintain and evolve multi-cluster Kubernetes deployments, including job queueing, load balancing, scheduling, and resource management for hardware-attached worker nodes
Build, version, and publish Docker images; author Dockerfiles for embedded toolchain environments and test runners
Manage and optimize PostgreSQL (operations data store) and Redis (caching layer), including schema design, query optimization, migrations, and reliability improvements
Monitor system health, triage failures, perform root-cause analysis, and continually improve the resilience and performance of the infrastructure
Own and maintain GitHub Actions CI/CD pipelines across three development teams, ensuring consistent, reliable, and performant builds, tests, deployments, and health checks
Develop reusable workflows, composite actions, and shared libraries to standardize CI/CD patterns across teams while accommodating team-specific needs
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
Continuously improve pipeline speed, caching strategies, runner utilization, and test parallelization to reduce CI/CD cycle times and infrastructure costs
Operate and optimize cloud-based CI/CD resources, including hosted and ephemeral runners, distributed build/test caching, and artifact/object storage backends
Manage self-hosted GitHub Actions runners, including those with hardware attachments, ensuring capacity, security, and reliability across teams
Operate and maintain PyPI services (e.g., private package indexes, mirrors, and proxies) and other artifact repositories used by development and CI/CD workflows
Support release workflows, artifact management, versioning, and deployment automation for services and embedded firmware across teams
Define and evangelize CI/CD best practices, branch protection policies, testing standards, and security/secret-management practices across the organization
Partner with leads from each development team to align CI/CD roadmaps, plan migrations, prioritize improvements, and communicate changes that affect developer workflows
Produce clear technical documentation, onboarding guides, and runbooks; provide training and office hours to help teams adopt and contribute to shared CI/CD infrastructure