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Fulltime Flight Simulator Instructor Jobs in Boston, MA

Shield AI

Senior Staff Systems Engineer (R5622)

Boston, MA · On-site

$170K - $250K/yr

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and ...

Shield AI

Staff Electrical Engineer

Boston, MA

$150K - $220K/yr

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Own full product and circuit design for flight critical subsystems. This includes analog, digital ...

Shield AI

Staff Electrical Engineer

Boston, MA

$150K - $220K/yr

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Own full product and circuit design for flight critical subsystems. This includes analog, digital ...

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Fulltime Flight Simulator Instructor information

See Boston, MA salary details

$27.2K

$102.8K

$158.1K

How much do fulltime flight simulator instructor jobs pay per year?

As of Aug 14, 2026, the average yearly pay for fulltime flight simulator instructor in Boston, MA is $102,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $121,700.00 per year, depending on experience, location, and employer.

Are fulltime flight simulator instructors in high demand?

Fulltime flight simulator instructors are in steady demand due to ongoing pilot training needs and airline industry growth. They typically require relevant certifications and experience, and demand can fluctuate with industry trends and airline hiring patterns.

What is the difference between Fulltime Flight Simulator Instructor vs Part-time Flight Simulator Instructor?

AspectFulltime Flight Simulator InstructorPart-time Flight Simulator Instructor
CredentialsRequires FAA certifications, flight instructor ratings, and simulator trainingSame certifications but may have less extensive experience
Work EnvironmentFull-time employment at training centers or airlinesPart-time roles, often freelance or contract-based
Employer & Industry UsageCommon in airlines, flight schools, and military trainingUsed for supplemental training or seasonal work

Fulltime Flight Simulator Instructors typically work full-time at training facilities, holding comprehensive certifications and providing consistent instruction. Part-time Flight Simulator Instructors usually work fewer hours, often on a contractual basis, and may have similar credentials but less overall experience. Both roles serve the aviation industry but differ mainly in hours, employment stability, and workload.

How much do fulltime flight simulator instructors make?

Fulltime flight simulator instructors typically earn between $50,000 and $100,000 annually, depending on experience, location, and employer. Salaries may also include benefits such as health insurance and retirement plans, and instructors often need relevant certifications and flight experience to qualify.

What are popular job titles related to Fulltime Flight Simulator Instructor jobs in Boston, MA?

For Fulltime Flight Simulator Instructor jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Fulltime Flight Simulator Instructor jobs in Boston, MA look for?

The top searched job categories for Fulltime Flight Simulator Instructor jobs in Boston, MA are:

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Cities near Boston, MA with the most Fulltime Flight Simulator Instructor job openings:

Fulltime Flight Simulator Instructor jobs near you

Senior Staff Engineer, Autonomy Behaviors (R4073)

Shield AI

Boston, MA • On-site

$220K - $331K/yr

Full-time

Re-posted yesterday

Job description

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. 

This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards. 
 
Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defense
What you'll do:
  • Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
  • High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
  • Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
  • Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.
  • Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.
  • Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.
  • Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
  • R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.
  • Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.
  • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).
Required Qualifications:
  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design. 
  • Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain) 
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
  • Ability to obtain a SECRET clearance. 
Preferred Qualifications:
  • Experience applying ML/RL techniques in autonomy pipelines.
  • Background in collaborative behaviors, swarm robotics, or distributed decision-making.
  • Familiarity with tactical behaviors for unmanned systems in DoD or government programs.
  • Work on behaviors applicable across air, ground, and maritime vehicles.
  • Hands-on experience supporting flight demos or live exercises.
  • Experience with UCI and OMS Standards
#LI-ED1
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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. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.