Aerospace & Defense J-1 Sponsorship Jobs in California
California is one of the most active states for J-1 visa sponsorship in aerospace and defense, with major employers like Northrop Grumman, Lockheed Martin, Raytheon, and Boeing operating large facilities across the state. Research, engineering, and technical exchange roles in Southern California and the Bay Area regularly attract J-1 participants from top international programs.
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Get Access To All JobsINTRODUCTION
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
ABOUT THE ROLE
We leverage breakthrough AI to create the world’s most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. Capture and processing of high quality visual data powered by computational photography models and algorithms are key to enabling enhanced camera capabilities and downstream applications such as inspection and mapping, ISR (intelligence, surveillance and reconnaissance) and public safety. If you are excited about real world applications of deep learning and solving difficult problems in imaging, computer vision and autonomy, we would love to hear from you.
YOUR ROLE AND RESPONSIBILITIES
As a Deep Learning Engineer Intern, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as multimodal scene understanding, computational photography, optical flow and range estimation, object detection, segmentation and tracking, visual localization and mapping, few-shot learning, automated path planning etc.
- Design, implement and deploy deep learning models with a particular focus on computational photography applications such as super-resolution, multi-frame denoising, low light imaging, High Dynamic Range (HDR) imaging etc.
- Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
- Leverage large scale and diverse synthetic data to power deep learning algorithms
- Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
- Refine and optimize models for low-latency on embedded hardware
- Refine and optimize models for cloud-based deployment in latency tolerant applications
- Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
- Be a generalist helping out on all aspects of the software when needed
BASIC QUALIFICATIONS
- M.S. or Ph.D. in computer science, electrical engineering or related discipline
- Demonstrated hands-on experience designing, training and deploying deep learning models
- Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
- Leverage state-of-the-art academic papers and literature for fast iteration
- Ability to thrive in a fast paced, collaborative and highly technical team environment
- Comfortable navigating and delivering within a complex codebase
- Strong communication skills
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
INTRODUCTION
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
ABOUT THE ROLE
We leverage breakthrough AI to create the world’s most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. Capture and processing of high quality visual data powered by computational photography models and algorithms are key to enabling enhanced camera capabilities and downstream applications such as inspection and mapping, ISR (intelligence, surveillance and reconnaissance) and public safety. If you are excited about real world applications of deep learning and solving difficult problems in imaging, computer vision and autonomy, we would love to hear from you.
YOUR ROLE AND RESPONSIBILITIES
As a Deep Learning Engineer Intern, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as multimodal scene understanding, computational photography, optical flow and range estimation, object detection, segmentation and tracking, visual localization and mapping, few-shot learning, automated path planning etc.
- Design, implement and deploy deep learning models with a particular focus on computational photography applications such as super-resolution, multi-frame denoising, low light imaging, High Dynamic Range (HDR) imaging etc.
- Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
- Leverage large scale and diverse synthetic data to power deep learning algorithms
- Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
- Refine and optimize models for low-latency on embedded hardware
- Refine and optimize models for cloud-based deployment in latency tolerant applications
- Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
- Be a generalist helping out on all aspects of the software when needed
BASIC QUALIFICATIONS
- M.S. or Ph.D. in computer science, electrical engineering or related discipline
- Demonstrated hands-on experience designing, training and deploying deep learning models
- Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
- Leverage state-of-the-art academic papers and literature for fast iteration
- Ability to thrive in a fast paced, collaborative and highly technical team environment
- Comfortable navigating and delivering within a complex codebase
- Strong communication skills
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
J-1 Aerospace & Defense Job Roles in California
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Search Aerospace & Defense Jobs in CaliforniaAerospace & Defense J-1 Sponsorship Jobs in California: Frequently Asked Questions
Which aerospace and defense companies sponsor J-1 visas in California?
California's largest aerospace and defense contractors, including Northrop Grumman, Lockheed Martin, Raytheon Technologies, Boeing, and Aerojet Rocketdyne, have historically sponsored J-1 visa participants for research and technical exchange roles. Smaller defense technology firms and aerospace startups concentrated in El Segundo, Hawthorne, and the broader Los Angeles basin also participate in J-1 programs, particularly for university-affiliated research and intern categories.
Which cities in California have the most aerospace and defense J-1 sponsorship jobs?
The Los Angeles metro area, including El Segundo, Hawthorne, Long Beach, and Palmdale, is the densest concentration of aerospace and defense employers in California. San Diego supports significant defense contracting activity, particularly in systems engineering and naval technology. The San Francisco Bay Area, including Sunnyvale and San Jose, is home to space technology and satellite companies that recruit J-1 participants for research and engineering roles.
What types of aerospace and defense roles typically qualify for J-1 sponsorship?
J-1 sponsorship in aerospace and defense most commonly covers research scholar, research intern, and specialist categories. Roles in propulsion engineering, systems integration, avionics research, materials science, and space systems design are frequently filled through J-1 exchange programs. Positions tied to academic or government research partnerships, such as roles connected to NASA's Jet Propulsion Laboratory in Pasadena, are particularly well-suited to J-1 program objectives.
How do I find aerospace and defense J-1 sponsorship jobs in California?
Migrate Mate aggregates aerospace and defense J-1 sponsorship jobs in California, allowing you to filter by visa type and industry so you see only relevant openings. Because J-1 sponsorship in this sector often requires employer-specific exchange program designation, Migrate Mate helps you identify which California employers are actively hiring J-1 participants rather than searching broadly across platforms that don't filter by visa category.
Are there state-specific or industry-specific considerations for J-1 sponsorship in California's aerospace and defense sector?
California's aerospace and defense employers often work on export-controlled programs subject to International Traffic in Arms Regulations (ITAR), which can restrict participation by certain foreign nationals regardless of visa status. J-1 applicants should be aware that some roles may require additional review or may be limited to U.S. persons only. Confirming ITAR restrictions with a prospective employer before applying is an important step specific to this industry.