Senior Staff Sensor Integration Engineer (R6392)

Posted 3 Hours Ago
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Seattle, WA, USA
In-Office
228K-340K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Our mission is to protect service members and civilians with intelligent systems.
The Role
Integrate and characterize multimodal navigation sensors, including IMUs, GNSS receivers, and cameras, from specification through production. Develop calibration procedures, test plans, data-processing tools, and sensor trade studies. Collaborate across electrical, mechanical, firmware, and software disciplines on interfaces, mounting, thermal and vibration considerations, and sensor fusion implementation. Debug hardware-software issues, review schematics, CAD, and code, and support hands-on laboratory testing. Occasional travel is required for supplier coordination and testing.
Summary Generated by Built In
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 LinkedIn, X, Instagram, and YouTube. 

We are seeking a Sensor Integration Engineer to support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors for the X-BAT State Estimation team. This role operates at the intersection of software, electrical, and mechanical engineering, requiring the ability to work across disciplines and directly contribute to cross-functional engineering efforts.

What You'll Do

    Sensor Selection, Integration & Characterization
  • Support sensor integration activities from specification through production
  • Develop and execute sensor characterization and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors
  • Contribute to sensor trade studies and selection processes
  • Cross-Functional Collaboration
  • Work closely with electrical engineering, mechanical engineering, and software engineering teams on:Electrical interfaces, power distribution, and signal conditioning
  • Mounting solutions, alignment, and thermal/vibration considerations
  • Software interfaces, drivers, data acquisition, and calibration implementation
  • Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination
  • Technical Contributions
  • Develop and execute test plans for sensor performance characterization and validation
  • Document sensor characteristics, trade studies, and integration requirements
  • Develop or modify calibration scripts and data processing tools
  • Support development of calibration procedures and tooling
  • Debug issues spanning hardware-firmware-software boundaries
  • Review and contribute to schematics, CAD models, and code as necessary

What You'll Bring

    Required Qualifications:

  • BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field
  • 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered)
  • Demonstrated ability to work across at least two of: electrical, mechanical, software domains
  • Technical Skills
  • Understanding of sensor measurement principles and error sources
  • Ability to read and understand electrical schematics and/or mechanical drawings
  • Basic proficiency in scripting or programming for data analysis (Python, MATLAB, or similar)
  • Familiarity with sensor communication protocols (SPI, I2C, UART, CAN, etc.)
  • Hands-on experience with lab equipment and sensor testing
  • Cross-Functional Aptitude
  • Comfortable learning and working outside primary discipline
  • Ability to communicate effectively with engineers from different backgrounds
  • Willingness to engage with hardware, firmware, and software aspects of sensor systems
  • Strong analytical and problem-solving skills across multiple domains
  • Preferred Qualifications:

  • Experience with navigation or localization sensors (IMUs, GNSS, cameras, altimeters, etc.)
  • Exposure to sensor calibration or characterization activities
  • Familiarity with embedded systems or real-time software
  • Understanding of coordinate transformations or sensor fusion concepts
  • Experience with automated testing or data acquisition systems
  • Knowledge of aerospace environmental testing or standards
  • Work Environment:
  • Collaborative team environment working with EE, ME, and SW engineers
  • Hands-on lab work combined with analysis and documentation
  • Occasional travel for team and supplier coordination or testing support

#LI-AA1

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.
 
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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. 

Skills Required

  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or a related field
  • 1–4 years of relevant experience; strong cross-functional internship or project experience may qualify new graduates
  • Ability to work across at least two of electrical, mechanical, and software engineering domains
  • Understanding of sensor measurement principles and error sources
  • Ability to read and understand electrical schematics and/or mechanical drawings
  • Basic scripting or programming proficiency for data analysis using Python, MATLAB, or similar
  • Familiarity with sensor communication protocols such as SPI, I2C, UART, and CAN
  • Hands-on experience with laboratory equipment and sensor testing
  • Experience with navigation or localization sensors
  • Exposure to sensor calibration or characterization activities
  • Familiarity with embedded systems or real-time software
  • Understanding of coordinate transformations or sensor fusion concepts
  • Experience with automated testing or data acquisition systems
  • Knowledge of aerospace environmental testing or standards

What the Team is Saying

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Shield AI Compensation & Benefits Highlights

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage with mental-health support and an EAP. Third-party benefits summaries also portray health coverage as a strong component of the package.
  • Retirement Support — Offerings include a 401(k) with employer matching, cited on the careers page and independent benefits directories. Multiple sources indicate a match exists, though exact formulas have varied over time and warrant confirmation.
  • Equity Value & Accessibility — Company communications describe equity for all full-time hires and stock benefits as part of total rewards. Independent listings also note company equity/RSUs as a standard element.

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The Company
HQ: San Diego, CA
Year Founded: 2015

What We Do

At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.

Why Work With Us

Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Diego, CA
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