1

Gan Jobs (NOW HIRING)

About the Role The GaN Epi Development Engineer will join IQE's Technology Group and play a key role in developing epitaxial growth processes for GaN-based device structures. This position will work ...

RN (Registered Nurse) Gan Kavod HOURS: Full-Time SCHEDULE: Monday-Friday, 8am to 4pm PATE OF PAY: $34.00 - $44.00 per hour, based on experience. Sign on Bonus: $10,000 SUPERVISOR: Assistant Program ...

Teacher

Wellesley, MA ยท On-site

$26 - $28/hr

Teacher Pay: $26.00 - $28.00 per hour Gan Elohim Early Learning Center is located in a warm, welcoming Reform Jewish synagogue in Wellesley, Massachusetts. A dedicated team of educators leads it and ...

next page

Showing results 1-20

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.

More about Gan jobs

What cities are hiring for Gan jobs?

Cities with the most Gan job openings:

What states have the most Gan jobs?

States with the most job openings for Gan jobs include:

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.

GaN Process Development Engineers (GaN Laser Diodes)

BluGlass Limited (ASX: BLG)

Fremont, CA โ€ข On-site

Other

Posted 4 days ago


Key responsibilities

  • Develop and optimize semiconductor wafer fabrication processes for GaN laser diodes.

  • Lead hands-on wafer processing activities, including equipment ownership, process optimization using DOE, and data analysis.

  • Establish and support new processes for laser diode projects, analyze performance metrics, and support fab operations.


Job description

Process Development Engineers โ€“ GaN Laser Diodes


BluGlass is a global leader in advanced GaN laser diodes, leading breakthrough technologies such as distributed feedback (DFB) lasers and high-power master-oscillator power amplifier (MOPA) lasers in the visible spectrum. Advances in quantum sensing, quantum computing, electronic materials processing, medical, biotech, and defense/aerospace applications drive demand for innovation in visible laser diodes, and improvement to laser performance at the fundamental level.


About the job


The Process Development Engineers will develop semiconductor wafer fabrication processes for next-generation GaN laser diodes. They will take ownership of wafer fabrication processes, combining hands-on expertise with analytical problem-solving to demonstrate, improve, and implement manufacturable wafer processes.


These roles offer the opportunity to work on cutting-edge GaN laser diode technology with direct impact on emerging applications such as quantum sensing and advanced medical devices. As part of a small team, you will play a key role in scaling processes from development to production in a fast-growing photonics company.


We are hiring multiple Process Development Engineers and are especially interested in candidates with experience in one or more of the following areas:


1.     Plasma etch (ICP, RIE)

2.     Thin-film deposition and optical coating and design (evaporation, sputter, PECVD, ALD)


Preferred candidates may also have experience in the following:

  • Semiconductor characterization (SEM, AFM, FIB, electrical test, SIMS, EL, PL)
  • Wafer thinning (grind, polish)
  • Wafer scribe, facet cleave, laser bar coating
  • Mask design and integration
  • Laser diode, photonics, or device development
  • GaN process development


70% - GaN Wafer Fab Process Development:


Each Process Development Engineer will lead hands-on wafer processing and optimization. In these roles, you will own equipment, use DOE to optimize processes, and apply SPC, parameter tracking, and data analysis to identify and address out-of-control conditions. You will lead structured problem-solving efforts such as 8D and DMAIC, and partner with equipment engineering to support OEE and TPM standards. You will also gain broad exposure to and support all aspects of laser diode fabrication.


25% - Technical Program Leadership:


You will stay current with state-of-the-art principles for advancing performance in front-end processing. You will establish new processes for state-of-the-art laser diode projects. Identify, purchase, and qualify the equipment necessary to support product development roadmaps. Analyze and report key performance metrics to project teams and management.


5% - Organizational Support:

Support fab operations and organizational needs, including coordination with technicians, issuing travelers, and assisting with procurement.


Background:

  • Bachelorโ€™s or Masterโ€™s degree in Chemical Engineering, Electrical Engineering, Materials Science, or similar with 2-5+ years of experience in an industrial environment, or PhD with equivalent experience.
  • Experience in semiconductor processing and development, along with a basic understanding of epitaxy, downstream fabrication, and testing, is required.
  • Demonstrated leadership and the capacity to direct and influence colleagues across multiple departments and geographies.
  • Strong engineering fundamentals with a methodical approach to problems using statistics and numerical methods.
  • Proficiency in statistical analysis software such as JMP, Python, R, etc.
  • Development and execution of technical research projects.
  • Ability to โ€œwear many hatsโ€ on a small team in a dynamic start-up environment.
  • A good candidate will have high-quality communication, self-motivation, flexibility, and will be comfortable with ambiguity with the capacity to solve problems in non-traditional ways.


Additional Input:

We are hiring at multiple levels depending on experience. Level and responsibilities will be calibrated accordingly.

The BluGlass GaN Process Development Engineer positions are based at our wafer fab in Fremont, CA. On-site, hands-on work is required, with occasional off-site work. Due to export control regulations, candidates must qualify as a โ€œUS Personโ€ (U.S. citizen, permanent resident, refugee, or asylee).