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Imaging Application Engineer Jobs (NOW HIRING)

KaiHonua

Be Seen First

Application Programmer/Imaging Tool III

Killeen, TX · On-site

$85K - $105K/yr

Application Programmer/Imaging Tool III Location: Killeen, TX - Telework Hybrid/Remote Position KaiHonua LLC has an immediate opening for an Application Programmer/Imaging Tool III. This candidate ...

nGenium

Imaging Service Engineer - Boston/MA

Boston, MA · On-site +1

$80K - $120K/yr

Job Summary Imaging Service Engineer Location: Boston, Massachusetts (Relocation Support Available ... application through to offer. Ready for your next challenge? Apply today or contact Alan Ling at ...

Orbotech

Algorithm Engineer

Milpitas, CA

$136K - $231K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... imaging application. * Good knowledge of computational imaging and high-performance computing.

KLA Corporation

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... imaging application. * Good knowledge of computational imaging and high-performance computing.

KLA Corporation

Algorithm Engineer

Milpitas, CA

$136K - $231K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... imaging application. * Good knowledge of computational imaging and high-performance computing.

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Imaging Application Engineer information

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$50.5K

$110.7K

$152K

How much do imaging application engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for imaging application engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an imaging application engineer?

An Imaging Application Engineer is a professional who specializes in designing, implementing, and supporting imaging systems and applications. They work with technologies like medical imaging devices, industrial cameras, or software for image analysis, ensuring these systems meet client or organizational needs. Their role often involves collaborating with engineers, scientists, and end-users to customize solutions, troubleshoot issues, and train users. This position requires a strong background in engineering, computer science, or a related field, along with expertise in imaging technologies and software.

What are the key skills and qualifications needed to thrive as an imaging application engineer?

To thrive as an Imaging Application Engineer, you need a solid background in engineering, imaging technologies, and computer science, often supported by a relevant degree such as electrical engineering or biomedical engineering. Familiarity with medical imaging modalities (like MRI, CT, or ultrasound), image processing software, and programming languages such as Python or MATLAB is typically required. Strong analytical thinking, problem-solving skills, and effective communication are vital for collaborating with clinical teams and translating technical requirements. These skills ensure precise implementation, optimization, and support of imaging systems, ultimately improving diagnostic accuracy and patient care.

How does an imaging application engineer typically collaborate with cross-functional teams during a project?

Imaging Application Engineers often work closely with software developers, hardware engineers, product managers, and end-users to ensure imaging solutions meet project requirements. They act as a technical bridge, translating client needs into functional specifications and troubleshooting issues that arise during development and deployment. Regular meetings, technical presentations, and hands-on support are common, fostering a collaborative environment where knowledge sharing is key to successful project outcomes.

What are popular job titles related to Imaging Application Engineer jobs?

For Imaging Application Engineer jobs, the most frequently searched job titles are:

Infographic showing various Imaging Application Engineer job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

Senior Application Engineer, HPC and AI for Physics

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make it possible.

We are looking for a Senior Application Engineer who is passionate about HPC+AI for numerical simulations, and physics translating complex research into software that scientists use for real discovery. You will work across research, engineering and product teams. You will translate learnings from research collaborations into feedback to engineering on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics.

What you'll be doing: Develop workflows for experimental processing/analysis and numerical simulations with applications in imaging science, plasma and high energy physics, and material science Profile the application and run benchmarks to identify bottlenecks and suggestion recommendations to collaborators and product teams Build examples or sample applications for tutorials Represent NVIDIA at leading scientific conferences, workshops, and industry events. What we need to see: BS, MS, or PhD in computational, theoretical and/or experimental physics, applied mathematics, computer science or equivalent experience. 5+ years building HPC, AI or machine learning software for applications in physics and numerical simulations.

Strong experience with GPU-accelerated computing and modern ML frameworks. Strong communication skills across technical and non-technical audiences. Ways to stand out from the crowd: High-impact publications in HPC and AI for numerical simulations, plasma physics and imaging science.

Deep understanding of numerical simulations such as particle-in-cell Experience with CUDA, parallel programming, or performance-focused software development. Familiarity with agentic AI workflows for science and discovery. We work on problems that matter, and with teams that highly value technical excellence.

This role offers the chance to construct a software stack for physics algorithms, numerical simulations, data processing/analysis that is supported by advanced computing. You will help craft tools that support researchers, partners, and developers across the ecosystem. It is an opportunity to build technology that can accelerate discovery at global scale.

#LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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