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Entry Level Augmented Reality Developer Jobs in California

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

Adapts machine learning to areas such as virtual reality, augmented reality, artificial ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

212405 UI Engineer

Santa Clara, CA

$122K - $163K/yr

... augmented reality, fitness coaching, and other comprehensive wearable technologies. As Senior UX/UI Mobile Developer you will work directly with our product, design and test teams to develop a ...

Sensors Systems Engineer

Santa Clara, CA · On-site

$142K - $213K/yr

Job Area: Engineering Group, Engineering Group > Multimedia Systems General Summary: General ... reality and augmented reality. This challenging position offers the opportunity to work with ...

Sensors Systems Engineer

Santa Clara, CA · On-site

$142K - $213K/yr

Job Area: Engineering Group, Engineering Group > Multimedia Systems General Summary: General ... reality and augmented reality. This challenging position offers the opportunity to work with ...

Engineering Group, Engineering Group > Multimedia Systems General Summary: Sensors-based technology ... reality and augmented reality. This challenging position offers the opportunity to work with ...

#Senior Sensors Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

Engineering Group, Engineering Group > Software Engineering General Summary: ** This position is ... reality, augmented reality, gaming, health, and smart user interface. We are responsible for ...

UI Engineer

Santa Clara, CA

$122K - $163K/yr

... augmented reality, fitness coaching, and other comprehensive wearable technologies. As Senior UX/UI Mobile Developer you will work directly with our product, design and test teams to develop a ...

Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We're looking for a ...

... Augmented Reality frameworks such as RealityKit Experience with GPU programming and the testing, integration, and deployment of Machine Learning models Familiarity in Python for Machine Learning ...

Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We're looking for a ...

Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We're looking for a ...

Assistant VDC Manager

San Francisco, CA · On-site

$133K - $146K/yr

... Augmented Reality), UAV, and coordinate systems. * Strong ability to plan, problem solve, and ... Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, or ...

Assistant VDC Manager

San Francisco, CA · On-site

$133K - $146K/yr

... Augmented Reality), UAV, and coordinate systems. * Strong ability to plan, problem solve, and ... Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, or ...

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Entry Level Augmented Reality Developer information

What is the difference between Entry Level Augmented Reality Developer vs Entry Level Virtual Reality Developer?

AspectEntry Level Augmented Reality DeveloperEntry Level Virtual Reality Developer
Required SkillsProficiency in AR SDKs (ARKit, ARCore), programming (C#, C++, Java), 3D modelingVR SDKs (Unity, Unreal Engine), programming (C#, C++), 3D modeling
Work EnvironmentMobile devices, AR glasses, outdoor/indoor AR applicationsVR headsets, simulation labs, immersive environments
Industry UsageRetail, education, healthcare, gamingGaming, training, simulation, education

Both roles involve developing immersive experiences but differ mainly in the platforms and devices used. AR developers focus on overlaying digital content onto the real world, while VR developers create fully immersive virtual environments. Skills overlap in programming and 3D modeling, but the hardware and application contexts vary significantly.

What are some common challenges faced by entry-level augmented reality developers when working on team projects?

Entry-level augmented reality (AR) developers often encounter challenges such as integrating AR features smoothly with existing applications, managing cross-platform compatibility, and keeping up with rapid advancements in AR technologies. Collaboration with designers, UI/UX specialists, and senior developers is essential to ensure a seamless user experience. It's also common to face a learning curve with AR frameworks and development tools, but active communication and seeking mentorship within the team can help overcome these obstacles and foster professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level Augmented Reality Developer, and why are they important?

To thrive as an Entry Level Augmented Reality Developer, you need a solid understanding of programming languages (such as C#, C++, or JavaScript), basic 3D modeling concepts, and a relevant degree or coursework in computer science or a related field. Familiarity with AR development platforms like Unity or Unreal Engine and experience using AR SDKs such as ARCore or ARKit are typically required. Creativity, problem-solving, and strong communication skills help you collaborate effectively and innovate in user-centric design. These abilities ensure the effective creation and deployment of engaging AR experiences that meet both technical and user needs.

What is an entry level augmented reality developer?

An entry level augmented reality (AR) developer is a professional who creates interactive digital experiences that blend virtual objects with the real world, using AR technologies. Typically, they work with AR development platforms and programming languages to build applications for mobile devices, smart glasses, or other AR hardware. Entry level AR developers often assist in designing, coding, testing, and debugging basic AR features under the guidance of more experienced developers. This role usually requires a foundational knowledge of programming and an understanding of 3D graphics or game engines.
What are the most commonly searched types of Augmented Reality Developer jobs in California? The most popular types of Augmented Reality Developer jobs in California are:
What are popular job titles related to Entry Level Augmented Reality Developer jobs in California? For Entry Level Augmented Reality Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Augmented Reality Developer jobs in California look for? The top searched job categories for Entry Level Augmented Reality Developer jobs in California are:
What cities in California are hiring for Entry Level Augmented Reality Developer jobs? Cities in California with the most Entry Level Augmented Reality Developer job openings:
Infographic showing various Entry Level Augmented Reality Developer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Machine Learning Engineer II

Machine Learning Engineer II

General Atomics

Poway, CA • On-site

$98K - $171K/yr

Full-time

Posted 20 days ago


General Atomics rating

8.9

Company rating: 8.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

5th of 60 rated aerospace companies


Job description

Job Summary
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
DUTIES AND RESPONSIBILITIES:
  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
  • In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
  • In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
  • Completes programming and implements efficiencies, performs testing and debugging.
  • Completes documentation and procedures for installation and maintenance.
  • Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
  • Lead technical teams and scope challenging projects into executable sprints.
  • Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
  • Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
  • Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
  • Interface with external vendors and partners to integrate their technology into the team's autonomy stack.
  • Maintains the strict confidentiality of sensitive information.
  • Performs other duties as assigned.
  • Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and two or more years of machine learning experience with a bachelors degree. May substitute equivalent machine learning engineer experience in lieu of education.
  • Must have an understanding of machine learning concepts, principles, and theory.
  • Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
  • Experience in developing and leading scalable software architectures from scratch.
  • Experience in optimizing AI models to meet edge processing requirements.
  • Strong coding skills in Java, Java Script, C/C++, Python
  • Experience in AI frameworks such as Tensorflow and pyTorch.
  • Excellent verbal and written communication skills.
  • Must be able to architect, design, and develop complex software.
  • Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
  • Active membership and participation in relevant conference and professional society organizations.
  • Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
  • Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
  • Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
  • Must be able to work both independently and on a team.
  • Able to work extended hours as required.
  • Customer focused, must be able to work on a self-initiated basis and in a team environment, and able to work extended hours and travel as required.
  • Ability to obtain and maintain a DoD security clearance is required.

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About General Atomics

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General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955