Hardware Test Infrastructure Engineer

Efficient Computer; San Francisco, Pittsburgh, Austin (CA, Allegheny County, TX); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Equity program

401K match

Paid parental leave

Job summary

Efficient Computer in San Francisco is seeking a strong hardware infrastructure engineer to develop and scale ATLAS testing and performance profiling infrastructure. The role spans embedded hardware deployment, Go services, Kubernetes, and Go/C++ server and client development.

You will work with PostgreSQL and Redis, write Python tooling, and optimize power and performance across FPGA, Ambiq, Apollo, PIC32 and Efficient E1 platforms.

Qualifications

• Hands-on embedded hardware and software development experience.
• Bachelor's degree or equivalent practical experience in CS/CE/EE.
• Lead level experience with 5+ years in cloud and embedded infrastructure, test engineering, and full-stack systems.

Responsibilities

• Embedded Hardware Deployment, Maintenance & Troubleshooting.
• Test Program Development in C/C++ across multiple hardware targets.
• Reliability, Observability, and performance improvements for infrastructure.
• Tooling & Automation using Python to drive workflows and dashboards.
• Kubernetes Infrastructure maintenance for hardware-attached worker nodes.
• Server/Client & Database Development using Go with PostgreSQL and Redis.

Skills

Go

C/C++

Python

Kubernetes

PostgreSQL

Redis

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field

Tools

JTAG/SWD debugging tools

Power measurement tools

Hardware-in-the-loop systems

Job description

San Francisco, Bay Area 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 a strong hardware infrastructure engineer to develop and scale ATLAS: Efficient’s critical hardware regression testing and performance profiling infrastructure. ATLAS supports automated benchmarking and validation of both our company's products and competitor hardware, providing essential data that drives engineering and product decisions.

This role requires a unique set of skills that span both embedded software development as well as typical cloud compute platforms. The ideal candidate must be a full‑stack infrastructure engineer who is equally comfortable writing Go services, managing Kubernetes environments, debugging low‑level test programs, and working with a wide variety of embedded hardware such as FPGA, Ambiq, Apollo, PIC32 and Efficient E1.

Key Responsibilities

Regression Testing & Performance Profiling Infrastructure

• Embedded Hardware Deployment, Maintenance & Troubleshooting: Install new embedded hardware platforms, manage deployed hardware, and perform debug and failure analysis of hardware issues.
• Test Program Development: Write, port, and maintain low-level c/c++ test programs that run on a diverse set of hardware targets to measure performance, power, and functional behavior.
• Reliability & Observability: Monitor system health, triage failures, perform root‑cause analysis, and continually improve the resilience, robustness, and performance of the infrastructure.
• Tooling & Automation: Build Python tooling and scripts to automate workflows, parse results, generate reports and drive developer facing performance dashboards.
• Kubernetes Infrastructure: Maintain and evolve Kubernetes deployments, including job queueing, load balancing, scheduling, and resource management for hardware‑attached worker nodes
• Server, Client & Database Development: Design, implement, and maintain Go‑based server and client applications. Manage PostgreSQL (operations data store) and Redis (caching layer), including schema design, query optimization, migrations, and reliability improvements.

Required Qualifications & Experience

• Hands‑on embedded hardware and software development experience, including working with embedded toolchains and bring‑up of new hardware platforms.
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field — or equivalent practical experience.
• Lead level experience with 5+ years in a cloud and embedded hw infrastructure, test engineering, and full‑stack systems role.
• Excellent written, verbal, and technical communication skills, with the ability to clearly document complex systems, and lead discussions across teams.
• A collaborative spirit, with the ability to support and influence multiple engineering teams, balancing competing priorities.
• 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 Kubernetes environments, including queueing and load balancing patterns.
• Databases: Practical experience with PostgreSQL (operations workloads) and Redis (caching)

Desired Qualifications & Experience

• Experience with JTAG/SWD debugging tools and workflows
• Familiarity with energy and power measurement tools (e.g., power monitors, current probes, instrumented test fixtures)
• Some experience using 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 practices for both cloud services and embedded firmware.

We offer a competitive base salary for this role, generally ranging from $180,000 to $220,000, plus a 10% annual bonus, meaningful equity, and comprehensive benefits. Final compensation will depend on experience, level, and location, with flexibility for the right candidate.

Why Join Efficient?

Efficient offers acompetitive compensation and benefits package, including401K 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.