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Optical Imaging Engineer Full Time Jobs (NOW HIRING)

Computational Imaging Engineer

Los Angeles, CA · On-site

$120.10K - $141.70K/yr

Mango is seeking an Computational Imaging Engineer to take technical ownership of our optical systems and imaging pipeline, working closely with the software, microbiology, and hardware teams. This ...

Optical Simulation Engineer

Cupertino, CA · On-site

$159.20K - $206K/yr

This engineer will develop state-of-the-art end-to-end modeling and simulation solutions with cross-functional team members for our Optical Imaging Systems that can facilitate provide early feedback ...

Optical Simulation Engineer

Cupertino, CA · On-site

$147.40K - $272.10K/yr

Come join us!","responsibilities":"Development of Optical and Imaging simulation capabilities and ... Programming experience (Python, Matlab, and/or C/C++/C#) Pay & Benefits At Apple, base pay is one ...

Development of Optical and Imaging simulation capabilities and applications to inform design ... Programming experience (Python, Matlab, and/or C/C++/C#) Preferred Qualifications * Understanding ...

Junior Imaging Engineer

Reno, NV · On-site +1

$50K - $65K/yr

Job Summary Junior Imaging Engineer Location ... Reno, NV (Full-time, Permanent) Salary: $50,000 - $65,000 + car allowance, relocation support, full ...

Senior or Staff Imaging Engineer Role

Boston, MA

$113.50K - $155.90K/yr

Requirements • MS or PhD in relevant engineering or scientific discipline, such as Physics, Optics, Electrical Engineering, Biomedical Engineering, etc. • Hands-on experience with optical imaging ...

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Optical Imaging Engineer Full Time information

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$83K

$143.6K

$168.5K

How much do optical imaging engineer full time jobs pay per year?

As of May 28, 2026, the average yearly pay for optical imaging engineer full time in the United States is $143,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Optical Imaging Engineer, and why are they important?

To thrive as an Optical Imaging Engineer, you need a solid background in optics, physics, image processing, and engineering, typically supported by a degree in optical engineering, physics, or a related field. Proficiency with optical design software (such as Zemax or Code V), laboratory instrumentation, and familiarity with imaging sensors and analysis tools are essential. Strong problem-solving skills, attention to detail, and effective communication help you excel in team environments and complex project settings. These skills and qualities are critical for developing innovative imaging solutions and ensuring high-performance optical systems in demanding applications.

What are some common challenges faced by Optical Imaging Engineers when working on new product development?

Optical Imaging Engineers often encounter challenges such as balancing performance requirements with system constraints like size, weight, and power consumption. Integrating optical components with mechanical and electronic systems requires close collaboration with multidisciplinary teams and careful attention to detail. Additionally, troubleshooting complex optical issues, such as aberrations or alignment errors, can be time-consuming and may require iterative prototyping and testing. Staying current with rapidly evolving imaging technologies is also essential for success in this role.

What does an Optical Imaging Engineer do?

An Optical Imaging Engineer designs, develops, and tests optical imaging systems, such as cameras, microscopes, or medical imaging devices. They work with lenses, lasers, sensors, and software to optimize image quality and system performance. These engineers collaborate with multidisciplinary teams to solve technical challenges, conduct experiments, and analyze data to improve imaging technologies. Their work is crucial in industries like healthcare, manufacturing, automotive, and scientific research.

What is the difference between Optical Imaging Engineer Full Time vs Optical Systems Engineer?

AspectOptical Imaging Engineer Full TimeOptical Systems Engineer
Required CredentialsBachelor's or Master's in Optical Engineering, Physics, or related fieldBachelor's or Master's in Optical Engineering, Physics, or related field
Work EnvironmentResearch labs, manufacturing facilities, R&D departmentsResearch labs, product development teams, systems integration
Industry UsageMedical imaging, defense, consumer electronicsOptical system design, aerospace, telecommunications

Optical Imaging Engineers Full Time and Optical Systems Engineers share similar educational backgrounds and work environments. However, Optical Imaging Engineers focus specifically on imaging systems and applications, while Optical Systems Engineers may work on broader optical system design and integration across various industries.

More about Optical Imaging Engineer Full Time jobs
What cities are hiring for Optical Imaging Engineer Full Time jobs? Cities with the most Optical Imaging Engineer Full Time job openings:
What are the most commonly searched types of Optical Imaging Engineer jobs? The most popular types of Optical Imaging Engineer jobs are:
What states have the most Optical Imaging Engineer Full Time jobs? States with the most job openings for Optical Imaging Engineer Full Time jobs include:
Infographic showing various Optical Imaging Engineer Full Time job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $143,611 per year, or $69 per hour.

Computational Imaging Engineer

Mango

Los Angeles, CA • On-site

$120.10K - $141.70K/yr

Full-time

Posted 16 days ago


Mango rating

6.0

Company rating: 6.0 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Mango is seeking an Computational Imaging Engineer to take technical ownership of our optical systems and imaging pipeline, working closely with the software, microbiology, and hardware teams. This is a high-impact, cross-functional role at the intersection of optics, imaging hardware, and computer vision, with significant opportunities for technical leadership as the company scales.
About Mango, Inc.
Mango is a new type of microscope for rapid bioburden testing.
Description
Mango is seeking an Computational Imaging Engineer to take technical ownership of our optical systems and imaging pipeline, working closely with the software, microbiology, and hardware teams. This is a high-impact, cross-functional role at the intersection of optics, imaging hardware, and computer vision, with significant opportunities for technical leadership as the company scales.
The ideal candidate has strong industry experience applying convolutional neural networks (CNNs) to image processing problems-preferably in domains like microscopy, biomedical imaging, or other high-complexity visual data systems. Additionally, candidates should have hands-on exposure to optical hardware, such as hyperspectral imaging systems, microscopy platforms, or custom imaging setups. Prior work with lensless or computational imaging systems is especially valuable.
Key Responsibilities:

  • Own and evolve Mango's imaging stack, including imaging hardware and computational reconstruction
  • Develop and deploy CNN-based models for image enhancement, reconstruction, and classification
  • Collaborate with software, microbiology, and hardware teams to design imaging workflows that support experimental needs
  • Design, prototype, and validate custom imaging systems suited to our platform (including lensless imaging)
  • Guide decisions on image quality, signal processing, and hardware/software co-design
  • Establish best practices for reproducibility, quality control, and calibration in imaging
Qualifications:
  • 3+ years of industry experience applying CNNs to image processing tasks
  • Experience working with microscopy, medical imaging, or other high-resolution imaging systems
  • Exposure to optical systems design (e.g., hyperspectral, lensless, or computational imaging)
  • Fluency in Python and PyTorch
  • Strong cross-disciplinary communication skills; ability to work closely with microbiologists and engineers
  • Passion for solving real-world problems with end-to-end system thinking
  • Prior work in a fast-paced startup or product-focused R&D environment
Preferred Qualifications:
  • Experience with inverse problems or physics-informed machine learning
  • Familiarity with hardware/software integration

If you're excited about owning a critical technical domain and building novel imaging systems that bridge science and engineering, we'd love to hear from you.
About Mango:
Mango is a new type of microscope. Our innovative approach enables us to grow microbes and observe their growth in real time. Located in Los Angeles, our 15-person team combines expertise in business, mechanical engineering, bioengineering, and software development. We've honed our skills at various startups, including Snapchat, and now we're focused on turning this groundbreaking idea into a practical tool for pharmaceutical manufacturing. If you're looking for a challenge and want to contribute to a project that could change the way we view the microscopic world, we'd love to hear from you.
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