Software Engineer, NPI

Fluidstack

$100K — $150K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in test automation or lab software development for hardware programs.
  • Proven ability to convert manual workflows into automated pipelines.
  • Experience handling large volumes of hardware data such as telemetry, logs, and measurements.
  • Proficient in writing production-quality code in Python or Go.
  • Collaborative approach, working directly with engineers to refine tools and processes.
  • Familiarity with hardware test harnesses and APIs like BMC and Redfish.

Responsibilities

  • Develop software for new product testing, including orchestration and data analysis.
  • Manage and maintain automation tools used in hardware benchmarking and configurations.
  • Ensure comprehensive data capture and querying for all qualification runs.
  • Automate deployment processes from lab settings to production fleets.
  • Package configurations and validation suites for efficient deployment.

Benefits

  • Flexible work arrangements to promote work-life balance.
  • Investment in employee development and learning opportunities.
  • A culture that prioritizes transparency and pay equity.
  • Access to cutting-edge technologies and tools in a collaborative environment.
Full Job Description
Role Scope
  • Build the software behind new product introduction: test orchestration, data capture, and analysis for new hardware.
  • Ship the lab's tooling: benchmark automation, config management, and results databases the team runs on.
  • Own the data: every qualification run captured, comparable, and queryable across platforms and time.
  • Automate the path from lab to fleet: golden configs and validation suites packaged for deployment.
What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You've built test automation or lab software for hardware programs.
  • You've turned manual engineering workflows into pipelines.
  • You handle hardware-shaped data: telemetry, logs, and measurements at volume.
  • You write production-quality Python or Go and move fast with AI tooling.
  • You sit with the engineers who use your tools and iterate.
  • Bonus: Hardware test harnesses. Grafana and time-series. BMC and Redfish APIs. CI for hardware.


We are committed to pay equity and transparency.

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