Hardware Test Infrastructure Engineer

Job Title

Hardware Test Infrastructure Engineer

Role Summary

Develop and scale ATLAS, the company's hardware regression testing and performance-profiling infrastructure that automates benchmarking and validation of company and competitor hardware. The role spans embedded software, test programs, and cloud infrastructure to provide data that drives engineering and product decisions.

Work cross-functionally with hardware and software teams to deploy, debug, and maintain embedded platforms and the cloud services that coordinate and analyze large-scale tests.

Experience Level

Senior — lead-level role. Requires 5+ years of experience in cloud and embedded hardware infrastructure, test engineering, or full-stack systems roles.

Responsibilities

Primary responsibilities include designing, operating, and improving the hardware test and profiling infrastructure.

• Develop and scale ATLAS: automated benchmarking, test orchestration, and performance profiling pipelines.
• Install, maintain, and troubleshoot embedded hardware platforms (FPGA, Ambiq, Apollo, PIC32, Efficient E1, etc.).
• Write, port, and maintain low-level C/C++ test programs to measure performance, power, and functional behavior.
• Monitor system health, triage failures, perform root-cause analysis, and improve resilience and observability.
• Build Python tooling and scripts to automate workflows, parse results, and generate reports and dashboards.
• Operate and evolve Kubernetes deployments for hardware-attached worker nodes (job queueing, load balancing, scheduling, resource management).
• Design, implement, and maintain Go-based server and client applications; manage PostgreSQL and Redis for operations and caching.

Requirements

Must-have skills and experience.

• Hands-on embedded hardware and software development, including embedded toolchains and hardware bring-up.
• Lead-level experience (5+ years) in cloud and embedded hardware infrastructure, test engineering, or full-stack systems.
• Strong Go proficiency; experience building production services with HTTP APIs and WebSockets.
• Proven C/C++ ability for systems-level or test code development and debugging.
• Solid Python experience for tooling, automation, and scripting.
• Practical experience operating and maintaining Kubernetes environments (including queueing/load-balancing patterns).
• Experience with PostgreSQL for operations workloads and Redis for caching; schema and query considerations.
• Excellent written and verbal communication and the ability to coordinate across multiple engineering teams.

Nice-to-have:

• JTAG/SWD debugging tools and workflows.
• Familiarity with energy and power measurement tools (power monitors, current probes, instrumented fixtures).
• Experience with hardware-in-the-loop test systems or large-scale automated benchmarking infrastructure.
• Background in performance profiling, benchmark design, or comparative hardware analysis.
• Familiarity with release engineering for cloud services and embedded firmware.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field — or equivalent practical experience.

About the Company

Company: Efficient Computer

Headquarters: Austin, TX, USA

Developer of ultra-low-power general-purpose processors using patented technology that can consume up to 100x less energy than comparable ultra-low-power processors. Their programmable platform supports standard high-level languages and AI/ML frameworks to enable long-lived, battery-powered edge devices and energy-efficient SoCs for IoT and edge AI applications.