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Gan Jobs (NOW HIRING)

Qorvo, Inc.

Sr Principal GaN Scientist

Richardson, TX · On-site

Extensive hands-on experience in developing and releasing advanced device technologies, particularly GaN , with complementary expertise in GaAs , InP , and other compound semiconductors. * Cross ...

EPC Space LLC.

Technical Sales Representative

Andover, MA · On-site

$70 - $90/hr

Our enhancement-mode GaN devices deliver superior efficiency, smaller size, lighter weight, and better radiation performance compared to traditional silicon MOSFETs. They power critical space systems ...

New

NCSU

CLAWS III-N Power Integration Engineer

Raleigh, NC

$101K - $136K/yr

Design and optimize GaN power devices (HEMTs, Diodes, lateral/vertical FETs) for high-voltage and high-frequency applications. * Utilize TCAD simulation (e.g., Synopsys, Silvaco, etc.) for process ...

Vertical Semiconductor

Device Engineer

Somerville, MA · On-site

$120 - $160/hr

Role Overview Vertical Semi's engineering team works across the full lifecycle of our vertical GaN power devices, from architecture and process integration through modeling, characterization, and ...

ElevatEd

Assistant Preschool Teacher

Denver, CO · On-site

$20 - $25/hr

August 20, 2026 About Us Gan Academy is a small, warm Jewish preschool where children are known deeply and teachers are supported personally. Our program combines play-based learning, Creative ...

ElevatEd

Lead Preschool Teacher

Denver, CO · On-site

$20 - $25/hr

Gan Academy Preschool | Denver, CO $20-$25/hour | School-Year Position | Start Date: August 20, 2026 About Us Gan Academy is a small, warm Jewish preschool where children are known deeply and ...

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Gan information

What is a GAN?

GANs, or Generative Adversarial Networks, are a class of machine learning frameworks where two neural networks, called the generator and discriminator, are trained together in a competitive setting. The generator creates data samples that mimic real data, while the discriminator evaluates whether samples are real or generated. This process helps GANs learn to produce highly realistic data, such as images, videos, or audio, making them popular in applications like image synthesis, data augmentation, and creative AI tasks. GANs have become an important tool in artificial intelligence and deep learning research.

What are some common challenges faced by GAN researchers or engineers in industry roles?

Professionals working with GANs often encounter challenges such as training instability, mode collapse, and the need for large, high-quality datasets. GANs require careful tuning of hyperparameters and regular troubleshooting to balance the generator and discriminator, which can be time-consuming. Collaboration with data scientists, software engineers, and domain experts is typical to refine models and deploy them in production, and staying updated with the latest research is key to overcoming technical hurdles.

What are the key skills and qualifications needed to thrive as a GAN engineer, and why are they important?

To thrive as a GAN Engineer, you need a strong background in machine learning, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Expertise in frameworks such as TensorFlow or PyTorch, and experience with programming languages like Python, are essential, along with familiarity with GAN architectures. Creativity, strong problem-solving skills, and effective communication help distinguish top performers in this role. These abilities are critical for developing, optimizing, and explaining innovative generative models that advance AI capabilities.

What is the difference between Gan vs Machine Learning Engineer?

AspectGanMachine Learning Engineer
Required CredentialsTypically a degree in computer science, AI, or related fields; experience with deep learning frameworksSimilar credentials; often requires knowledge of algorithms, programming, and data analysis
Work EnvironmentResearch labs, AI startups, tech companies focusing on generative modelsTech companies, data-driven organizations, AI departments across industries
Industry UsagePrimarily in AI research, generative modeling, and creative applicationsBroader industry applications including predictive modeling, data analysis, and automation

Gan (Generative Adversarial Network) specialists focus on developing generative models for creating new data, images, or content. Machine Learning Engineers work on designing, implementing, and optimizing various machine learning models across multiple applications. While both roles require a strong background in AI and programming, Gans are more specialized in generative modeling, whereas Machine Learning Engineers have a broader scope in deploying and maintaining machine learning solutions.

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What states have the most Gan jobs?

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Gan jobs near you
Infographic showing various Gan job openings in the United States as of August 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Sr Principal GaN Scientist

Qorvo, Inc.

Richardson, TX • On-site

Full-time

Re-posted 21 days ago

Key responsibilities

  • Shape and advance the device technology roadmap, ensuring successful development, release, and adoption of GaN and other compound semiconductor solutions.

  • Develop and release advanced device technologies through hands-on experimentation, testing, and analysis.

  • Collaborate with cross-functional teams including R&D, integration, reliability, and business units to support technology development and deployment.

Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

We are seeking a distinguished semiconductor technology leader with a unique blend of deep theoretical knowledge, practical experience, and strategic vision. This individual will play a pivotal role in shaping and advancing our device technology roadmap, ensuring successful development, release, and adoption of cutting-edge solutions.

Key Qualities and Attributes

  1. Technical Depth and Breadth
    • Strong theoretical foundation in semiconductor physics and device engineering.
    • Extensive hands-on experience in developing and releasing advanced device technologies, particularly GaN, with complementary expertise in GaAs, InP, and other compound semiconductors.
  2. Cross-Functional Influence
    • Proven ability to interact and influence diverse groups, including:
      • R&D Device Development
      • Integration and Operations
      • RF Modeling and Circuit Design
      • Reliability Engineering
      • Business Development, Marketing, and Sales
    • Capable of delivering detailed technical talks for engineering teams and strategic overviews for business stakeholders.
  3. Critical Thinking and Decision-Making
    • Exceptional ability to separate noise from truth at all stages of technology development and introduction.
    • Data-driven approach to risk assessment and decision-making.
  4. Strategic Vision Across Technology Lifecycle
    • Strategic thinker from conception to release to adoption, ensuring alignment with market needs and long-term business objectives.
  5. Hands-On Resourcefulness
    • Comfortable bridging strategy and execution:
      • Writing software
      • Analyzing complex datasets
      • Setting up new test systems and performing measurements
    • Thrives in both leadership and technical roles.
  6. Industry Leadership and Recognition
    • Established reputation in the device technology community:
      • IEEE reviewer
      • Conference chair/co-chair
      • Committee member
      • Frequent invited speaker
    • Demonstrated thought leadership and contribution to advancing semiconductor technologies.

Professional Attributes

  • Minimum of a BSEE and 5-10+ years' work experience 
  • Strategic, analytical, and innovative mindset.
  • Strong communication skills for technical and executive audiences.
  • Collaborative and influential across technical and business domains.
  • Highly adaptable and resourceful in dynamic environment

We do have some flexibility on the location of this role, and could hire at other Qorvo locations, if needed.

This position is not eligible for visa sponsorship by the Company. 

#LI-SM1

MAKE A DIFFERENCE AT QORVO   

 We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.

We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability. 

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