Engineering Jobs at Shield AI with Visa Sponsorship
Shield AI builds autonomous systems for defense applications, and its Engineering roles span software, hardware, autonomy, and embedded systems. The company sponsors several work authorization pathways, making it a realistic target for international engineers with specialized technical backgrounds in aerospace or defense-adjacent fields.
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Get Access To All JobsINTRODUCTION
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
Job Description:
As the VBAT Simulation Lead, you will be responsible for improving and scaling our simulation capabilities for the V-BAT and future aircraft. You will design, resource, manage, build and integrate tooling across our various engineering teams (e.g. Aerodynamics, GNC, Propulsion, etc.) to enable efficient and scalable simulation workflows. Your simulation solutions will be a key development tool for other engineers and also a critical gate in our release process.
What you'll do:
- Work with tech leads and stockholders to design, track, and report simulation roadmaps and release plans.
- Align needs and priorities across many teams and disciplines.
- Hire and manage a team of specialized simulation engineers across multiple locations.
- Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions.
- Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.
- Stay updated with the latest advancements in simulation technologies and drive best practices across the team.
- Build and maintain documentation and dashboards to quickly provide data and status to leadership.
Required qualifications:
- BS in Computer Science or related engineering field with 8+ years of professional experience.
- 3+ years of experience leading engineering teams or projects.
- Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
- A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps.
- Strong foundation in C++ and software architecture.
- Foundational knowledge of statistics and its application in software development, testing, and data analysis.
- Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.
Preferred qualifications:
- Experience with Docker, Kubernetes, and/or containerized application development.
- Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc.
- Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster).
- Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks.
COMPENSATION
- Salary Range: $160,000 - $240,000 a year
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
INTRODUCTION
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
Job Description:
As the VBAT Simulation Lead, you will be responsible for improving and scaling our simulation capabilities for the V-BAT and future aircraft. You will design, resource, manage, build and integrate tooling across our various engineering teams (e.g. Aerodynamics, GNC, Propulsion, etc.) to enable efficient and scalable simulation workflows. Your simulation solutions will be a key development tool for other engineers and also a critical gate in our release process.
What you'll do:
- Work with tech leads and stockholders to design, track, and report simulation roadmaps and release plans.
- Align needs and priorities across many teams and disciplines.
- Hire and manage a team of specialized simulation engineers across multiple locations.
- Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions.
- Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.
- Stay updated with the latest advancements in simulation technologies and drive best practices across the team.
- Build and maintain documentation and dashboards to quickly provide data and status to leadership.
Required qualifications:
- BS in Computer Science or related engineering field with 8+ years of professional experience.
- 3+ years of experience leading engineering teams or projects.
- Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
- A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps.
- Strong foundation in C++ and software architecture.
- Foundational knowledge of statistics and its application in software development, testing, and data analysis.
- Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.
Preferred qualifications:
- Experience with Docker, Kubernetes, and/or containerized application development.
- Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc.
- Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster).
- Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks.
COMPENSATION
- Salary Range: $160,000 - $240,000 a year
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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Get Access To All JobsTips for Finding Engineering Jobs at Shield AI Jobs
Obtain Security Clearance Eligibility Early
Many Shield AI Engineering roles require or strongly prefer candidates who can obtain a U.S. security clearance. Only U.S. citizens and certain permanent residents qualify, so if you're on a nonimmigrant visa, target roles explicitly marked clearance-not-required.
Align Your Degree to Defense-Specific Disciplines
Shield AI's Engineering hires lean heavily toward autonomy, robotics, embedded systems, and aerospace engineering. A degree in one of these fields strengthens your H-1B specialty occupation case and signals direct relevance to hiring managers reviewing defense-focused technical roles.
Filter Open Roles by Visa Eligibility on Migrate Mate
Shield AI posts Engineering roles across multiple teams, but not all positions are open to sponsored candidates. Use Migrate Mate to filter specifically for Shield AI Engineering jobs that match your current visa type and work authorization status.
Start OPT Applications Before Your Program Ends
F-1 students targeting Shield AI should file for OPT with USCIS up to 90 days before graduation. Defense contractors move carefully through background checks, so a delayed work authorization start date can cost you the offer window.
Address Export Control Requirements in Your Application
Aerospace and defense employers like Shield AI must comply with ITAR export control regulations, which sometimes restrict certain engineering roles to U.S. persons. Ask recruiters directly whether a role has ITAR restrictions before investing time in the interview process.
Engineering at Shield AI jobs are hiring across the US. Find yours.
Find Engineering at Shield AI JobsFrequently Asked Questions
Does Shield AI sponsor H-1B visas for Engineers?
Shield AI has sponsored employment-based visas including H-1B for qualifying Engineering roles, though not every position is eligible. Defense contractors are subject to ITAR export control rules, which can limit some technical roles to U.S. persons. Confirm visa eligibility directly with the recruiter for each specific role before proceeding through the interview process.
How do I apply for Engineering jobs at Shield AI?
Applications go through Shield AI's careers page, where Engineering roles are organized by team, such as autonomy, software, hardware, and systems engineering. You can also browse Shield AI Engineering positions filtered by visa sponsorship type on Migrate Mate, which helps you identify which open roles are realistically accessible based on your current work authorization status.
Which visa types are commonly used for Engineering roles at Shield AI?
Shield AI has sponsored F-1 OPT, F-1 CPT, TN, J-1, and employment-based immigrant visa categories including EB-2 and EB-3 for Engineering positions. TN is available for Canadian and Mexican nationals in qualifying engineering occupations. Immigrant visa sponsorship typically comes after an initial period of employment on a nonimmigrant status.
What qualifications are expected for Engineering roles at Shield AI?
Shield AI Engineering roles typically require a bachelor's degree or higher in a technical field such as computer science, electrical engineering, aerospace engineering, robotics, or a closely related discipline. Roles on the autonomy and machine learning teams often require graduate-level experience. Practical experience with defense systems, embedded platforms, or autonomous vehicles strengthens your profile significantly in a competitive candidate pool.
How does the visa sponsorship timeline work when joining Shield AI as an Engineer?
If you're transitioning from F-1 OPT, your employer needs to file an H-1B petition before your OPT expires, with the H-1B cap lottery occurring each April for an October 1 start date. Shield AI's background check and onboarding process in the defense sector can run longer than typical tech employers, so building lead time into your authorization timeline matters considerably.
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