Earth Is Our Runway
Shield AI Logo

Shield AI

Software Engineering Manager, Hardware Test (X-BAT) (R6020)

Posted An Hour Ago
Be an Early Applicant
In-Office
Seattle, WA
169K-300K Annually
Senior level
In-Office
Seattle, WA
169K-300K Annually
Senior level
Leads the X-BAT Hardware Test Software team developing Python-based automated production test systems for avionics and aircraft electrical assemblies. Responsibilities include managing engineers, owning technical roadmaps, designing test frameworks and station-control software, integrating instrumentation and FPGA-enabled hardware, improving test coverage and production reliability, and coordinating with electrical, mechanical, embedded, manufacturing, and program teams.
The summary above was generated by AI
Opening from US - X-BAT with ITAR exposure, S/SAR Clearance
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedInXInstagram, and YouTube. 

    About Shield AI

    Shield AI develops AI-powered autonomy software and aircraft systems that protect service members and civilians by enabling intelligent operations in contested environments. As part of the X-BAT program, you will help develop and validate next-generation autonomous aircraft and mission-critical hardware that must perform reliably in demanding operational conditions.

    Job Description:

    Shield AI is seeking a Software Engineering Manager to lead the X-BAT Hardware Test Software team. This team builds and sustains automated production test stands used to functionally test avionics and aircraft electrical assemblies.

    You will lead software engineers developing test frameworks, station-control software, equipment interfaces, data collection, and automated pass/fail evaluation. Our systems interact with custom fixtures, instrumentation, embedded devices, FPGA-enabled hardware, and avionics units under test.

    The ideal candidate has managed engineering teams and has personally built or led the development of automated hardware test systems used in production, manufacturing, qualification, or other high-consequence environments. You know what robust test automation looks like: safe operation, repeatable results, useful diagnostics, configuration control, traceability, maintainability, and a practical path from prototype to sustained production use.

What You'll do:

  • 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 closely 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.

Required Qualifications:

    • 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.

    • 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, particularly 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 the 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 the ability to work effectively across software, electrical, mechanical, manufacturing, and program teams.

Preferred 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.

Closing from US - X-BAT with ITAR exposure, S/SAR Clearance
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Similar Jobs at Shield AI

Yesterday
In-Office or Remote
United States
144K-210K Annually
Senior level
144K-210K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead systems engineering for a next-generation unmanned aircraft system. Responsibilities include defining system architecture, behaviors, requirements, interfaces, fault responses, and traceability; integrating avionics, autonomy, propulsion, sensors, and mission systems; conducting MBSE modeling, trade studies, safety analyses, flight testing, and performance validation; and coordinating cross-functional teams, DoD stakeholders, and government partners through development and operational deployment.
Top Skills: Ai-Driven Flight ControlAutonomy SystemsAvionicsCameoDoorsElectronic WarfareFaa Airworthiness StandardsGovernment Reference ArchitecturesIsrMbseMil-StdMosaSysmlUas
Yesterday
In-Office or Remote
United States
144K-210K Annually
Senior level
144K-210K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead systems engineering for a next-generation autonomous UAS, including system architecture, requirements decomposition, behavior modeling, avionics and autonomy integration, safety analysis, trade studies, flight testing, and performance validation. Collaborate with hardware, software, propulsion, manufacturing, flight operations, DoD stakeholders, and government agencies to develop a mission-ready aircraft from clean sheet through first flight and deployment.
Top Skills: Ai-Driven AutonomyAutonomous Aircraft SystemsAvionicsCameoDoorsEwFaa Airworthiness CertificationGovernment Reference ArchitecturesIsrMbseMil-StdMosaSysmlUas
Yesterday
Hybrid
98K-148K Annually
Mid level
98K-148K Annually
Mid level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Supports technical recruiting for specialized software engineering and autonomy roles. Responsibilities include managing candidate pipelines, conducting recruiter screens, sourcing and engaging technical talent, coordinating with hiring managers, maintaining ATS accuracy and recruiting data, delivering a strong candidate experience, and improving recruiting processes. The role partners with senior recruiters and sourcers while developing expertise in software engineering talent markets and using recruiting tools, AI, and automation.
Top Skills: AIAts SystemsAutomationSourcing Platforms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account