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Shield AI

Builds autonomous aircraft for defense

Software Engineering Manager - Hardware Test

Engineering LeadershipUpdated on Nov 15
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience in software engineering, test automation, embedded systems, hardware-integrated software, manufacturing test, avionics, aerospace, robotics, automotive, industrial systems, or similar fields.
  • At least 2 years of direct people-management experience leading software, test, or hardware-integration engineers.
  • Demonstrated experience building, deploying, and sustaining automated functional-test systems for complex hardware.
  • Strong Python experience for automation frameworks, hardware communication, instrument control, data acquisition, and test orchestration.
  • Experience with C++ or C in embedded, systems, device-control, or hardware-facing applications.
  • Experience working directly with electrical hardware, test fixtures, instrumentation, and devices under test.
  • Familiarity with FPGA-enabled hardware and ability to work effectively with FPGA engineers on system-level test and debug.
  • Familiarity with common interfaces and protocols such as Ethernet, TCP/IP, UDP, serial, CAN, SPI, I2C, USB, GPIO, PCIe, or JTAG.
  • Experience with Git, code review, automated testing, CI/CD, release management, and configuration control.
  • Strong communication skills and ability to work effectively across software, electrical, mechanical, manufacturing, and program teams.

Responsibilities

  • Lead, mentor, and grow a team of software engineers supporting X-BAT avionics production test.
  • Own the technical roadmap and execution for automated test stands, reusable test frameworks, station software, and test-data systems.
  • Build scalable Python-based software for test sequencing, instrument and fixture control, unit-under-test communication, measurement collection, pass/fail evaluation, and reporting.
  • Guide software architecture, code quality, configuration management, CI/CD, release processes, documentation, and operational support.
  • Partner with electrical engineers to translate avionics interfaces, functional requirements, and failure modes into automated test coverage.
  • Partner with mechanical engineers to ensure fixtures, cabling, connectors, serviceability, safety, and operator workflows support reliable production testing.
  • Work with FPGA and embedded-software teams to configure, communicate with, and validate FPGA-enabled avionics hardware.
  • Improve test coverage, station uptime, throughput, failure triage, test repeatability, and traceability.
  • Establish metrics and processes for regression health, station reliability, first-pass yield, retest rate, false failures, and recurring failure modes.
  • Support root-cause analysis across the unit under test, fixture, instrumentation, test software, embedded software, FPGA behavior, and electrical interfaces.

Desired Qualifications

  • Experience developing automated production test equipment for avionics, aerospace, defense, autonomous systems, robotics, or other mission-critical hardware.
  • Experience designing reusable test frameworks rather than only writing one-off test scripts.
  • Experience with programmable power supplies, electronic loads, DAQ systems, digital I/O, network equipment, oscilloscopes, logic analyzers, or custom test fixtures.
  • Experience with FPGA programming, bitstream management, register-level control, JTAG, board bring-up, or FPGA-adjacent debug.
  • Experience with embedded Linux, microcontrollers, board-support packages, device drivers, or real-time systems.
  • Experience with production traceability, serial-number tracking, test-result databases, calibration workflows, manufacturing systems, or quality systems.
  • Experience in a regulated, safety-critical, mission-critical, or configuration-controlled engineering environment.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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