Real-Time Image Processing Research Scientist (FPGA/AI)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Career development opportunities

Job summary

A leading research university in Maryland is seeking an Assistant Research Scientist to develop real-time image processing algorithms for additive manufacturing using FPGA, CPU, and GPU architectures. The successful candidate will work on image analysis algorithms and AI workflows, requiring a graduate degree in Computer Science or related fields, along with relevant experience. This role offers a comprehensive rewards package supporting health and career benefits.

Qualifications

• Completed or in‑process graduate degree in Computer Science, Engineering, Manufacturing, or a related field.
• 1–2 years of relevant experience.
• Familiarity with image‑analysis algorithms.
• Experience with FPGA programming.
• Experience with CPU and/or GPU image analysis.
• Experience with AI/Deep‑learning workflows, such as LSTMs.
• Ability to develop prototypes of tools needed to analyze data.
• Strong oral and written communication skills.

Responsibilities

• Develop image analysis algorithms targeting the high‑speed camera’s built‑in FPGA.
• Develop image analysis algorithms targeting the capture card’s built‑in FPGA.
• Develop image analysis algorithms for traditional computer CPUs and GPUs.
• Measure real‑time throughput for developed image‑analysis workflows.
• Create AI/Deep‑learning workflows for training models to analyze image sequences.

Skills

Image‑analysis algorithms

FPGA programming

CPU and GPU image analysis

AI/Deep-learning workflows

Prototyping tools

Communication skills

Education

Graduate degree in Computer Science, Engineering, Manufacturing

Job description

A leading research university in Maryland is seeking an Assistant Research Scientist to develop real-time image processing algorithms for additive manufacturing using FPGA, CPU, and GPU architectures. The successful candidate will work on image analysis algorithms and AI workflows, requiring a graduate degree in Computer Science or related fields, along with relevant experience. This role offers a comprehensive rewards package supporting health and career benefits.