LIVE FEEDVIEWS 0UTC —
POSTING ACTIVE · REQ-AFA07 · FY25.Q4
Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran)
Shield AI
[ COMPENSATION RANGE · ANNUAL · BASE ]
$120,000 – $250,000USD
MIDPOINT
$185,000
SPREAD
$130,000
LEVEL
MID
TECHNICAL STACK · 4 TAGS
§ 01OVERVIEW
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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.
Job Description:
As a State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability.
Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.
§ 02WHAT YOU'LL DO
- Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.
- Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.
- Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.
- Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.
- Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.
- Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.
§ 03REQUIRED QUALIFICATIONS
- Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 years with a PhD; or equivalent practical experience.
- Familiarity with algorithms.
- Proficient in C++11 or newer in real-time environments.
- Comfortable working in Linux, with experience using standard command-line tools and scripting.
- Strong written and verbal communication skills with a collaborative mindset.
- Demonstrated success working in fast-paced development cycles and delivering high-quality results.
§ 04PREFERRED QUALIFICATIONS
- Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.
- Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).
- Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions.
- Exposure to visual odometry or computer vision-based navigation approaches.
- Experience optimizing code for performance on compute-constrained platforms.
- Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs).
- Experience transitioning navigation solutions from research into production environments.
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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.
QUESTIONS AND ANSWERS
- How much does the Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran) at Shield AI pay?
- The posting lists a range of $120K–$250K per year. Ranges reflect what Shield AI publicly declared on the source posting.
- Where is this Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran) role based?
- The role is based in Dallas, Texas.
- What experience does Shield AI expect for this role?
- The posting is tagged as a mid-level role, typically 3+ years of experience. Check the requirements section for specifics.
- Where is Shield AI headquartered?
- Shield AI is headquartered in San Diego, USA.
- How was this posting sourced?
- This role was pulled directly from Shield AI's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
[ APPLICATION ROUTE ]LEVER · External ATS
APPLY VIA LEVER→Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.
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