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Efficient Computer

Hardware Test Infrastructure Engineer

San Jose, CAmidAdded 1 month ago

About this role

Efficient is hiring a Hardware Test Infrastructure Engineer to build and scale ATLAS, a critical testing and benchmarking platform for ultra-low-power processors. This full-stack role bridges embedded systems and cloud infrastructure, requiring expertise in Go services, Kubernetes, C/C++ test programs, and hands-on work with diverse embedded hardware platforms.

What you'll do

  • Deploy, maintain, and troubleshoot embedded hardware platforms (FPGA, Ambiq Apollo, PIC32, Efficient E1)
  • Develop low-level C/C++ test programs to measure performance, power, and functionality across hardware targets
  • Design and maintain Go-based server/client applications with PostgreSQL and Redis for operations
  • Build Python automation tooling and scripts for workflow orchestration, result parsing, and performance dashboards
  • Operate and evolve Kubernetes infrastructure for hardware-attached worker nodes with job queueing and load balancing
  • Monitor system health, perform root-cause analysis, and improve infrastructure resilience and observability

What they're looking for

  • Go (production services with HTTP APIs and WebSockets)
  • C/C++ (systems-level and test code)
  • Python (tooling, automation, scripting)
  • Kubernetes (operation, maintenance, queueing patterns)
  • PostgreSQL and Redis
  • Embedded hardware development and toolchains
  • JTAG/SWD debugging
  • Power measurement and performance profiling

Benefits

  • Competitive salary ($180,000–$220,000)
  • Bonus
  • Meaningful equity
  • Comprehensive benefits
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Efficient Computer

Efficient Computer builds ultra-low-power processors and the infrastructure needed to develop and optimize them, focusing on energy-efficient computing for AI/ML and general-purpose applications. The company is hiring hardware engineers, software optimization specialists, performance researchers, and infrastructure engineers to advance its processor design and benchmarking platform.

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Likely interview questions

  • Walk us through your experience bringing up a new embedded hardware platform—what challenges did you face and how did you debug them?
  • Describe a time you built production Go services. How did you handle API design, reliability, and scaling?
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