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Key skills for this role
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.
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.
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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)
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 salary for this role, generally ranging from $180,000 to $220,000, along with bonus, 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.
Why Join Efficient?
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.
Efficient Computer designs ultra-low-power processor architectures that dramatically reduce the energy consumption of computing workloads.
Visit company websiteJobs and hiring trendsMid · 5–10 years experience
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