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Internship Cmos Image Sensor Jobs in Virginia (NOW HIRING)

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Internship Cmos Image Sensor information

What does an internship in CMOS image sensor involve?

An internship in CMOS image sensors typically involves working alongside engineers and researchers to assist in the design, testing, and optimization of CMOS image sensor technology, which is widely used in cameras and imaging devices. Interns may engage in tasks such as data analysis, running simulations, characterizing sensor performance, and supporting laboratory experiments. This experience provides hands-on learning about semiconductor physics, analog and digital circuit design, and image processing, making it valuable for students interested in electronics and imaging technologies.

What are the key skills and qualifications needed to thrive in an internship in CMOS image sensor?

To thrive in a CMOS Image Sensor internship, you typically need a foundational knowledge of semiconductor physics, analog/digital circuit design, and a relevant degree in electrical or electronics engineering. Familiarity with tools such as Cadence, MATLAB, and lab equipment for sensor testing, as well as experience with programming languages like Python or C/C++, is highly valued. Strong analytical thinking, attention to detail, and effective teamwork set candidates apart in this technical environment. These skills and qualifications are critical for successfully contributing to sensor development projects and adapting to the fast-paced, innovation-driven semiconductor industry.

What typical projects or responsibilities can I expect during an internship in CMOS image sensor development?

As an intern in CMOS Image Sensor development, you can expect to work on tasks such as assisting in sensor characterization, supporting test setup and data analysis, and contributing to the design or simulation of sensor components under the guidance of senior engineers. You may also help troubleshoot performance issues and collaborate with cross-functional teams, including hardware, software, and testing groups. This hands-on experience provides valuable exposure to the full development cycle and offers opportunities to learn industry-standard tools and workflows, preparing you for potential full-time roles in the field.

What is the difference between Internship Cmos Image Sensor vs Entry-Level Optical Engineer?

AspectInternship Cmos Image SensorEntry-Level Optical Engineer
Required CredentialsRelevant coursework, basic understanding of electronics and imagingBachelor's degree in optics, physics, or electrical engineering
Work EnvironmentResearch labs, semiconductor manufacturing facilitiesOptical design labs, R&D departments
Industry UsageSemiconductor, consumer electronics, imaging technologyOptical systems, imaging devices, aerospace

Internship Cmos Image Sensor roles focus on developing and testing CMOS sensors, often requiring knowledge of electronics and imaging fundamentals. Entry-Level Optical Engineers work on designing and analyzing optical systems, requiring a background in optics and physics. While both roles involve imaging technology, internships are more research-oriented, whereas entry-level engineers focus on system design and application.

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Internship Cmos Image Sensor jobs near you

Tango Sierra-Bravo - Electro‑Optical (EO) Imagery Data Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Join a R&D program that is focused on using Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, particularly Computer Vision, applied to Intelligence, Surveillance, and Reconnaissance (ISR) sensors and platforms for object detection, object tracking, object classification, and pattern detection.  The program is involved in developing, testing, fielding, and integrating Computer Vision models for geospatial data. Your job will be to process and condition the geospatial data, and to format it to specific standards so that it can be used for AI solution development. The background that we are looking for is twofold - Data Science experience and deep experience with EO imagery (electro-optical).  You will get to join a highly functioning team to develop cutting edge solutions for complex problems.

Requirements:
  • Strong background in data science WITH experience in at least one of the following:  remote sensing, image processing, or image science
    • At least 4 years of experience with EO imagery…an understanding of collection, phenomenology, image formation process, and exploitation products
  • Background with electromagnetic spectrum (e.g., electro-optical) exploitation to detect occurrence and location of objects
  • Ability to develop, test, and evaluate new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis.
  • Communication skills that allow you to engage with a variety of technical and non-technical audiences on availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.
  • Strong understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
  • TS/SCI with CI Poly (we can pipeline your poly if you don’t already have it, but you must be willing to take the exam)
  • 13 years of relevant experience and a Master’s degree
    • (substitutions are allowed for different types of degrees, and many things can be applied towards experience – e.g., internships, certifications, professional publications, etc. )
What You Will Do:
  • Obtain new data and identify potential latency associated with acquisition, data formats, and security domains
  • Pre-process and standardize data to match existing data standards or transform into a usable state for labeling and model testing purposes
  • Interact with SAR Imagery Scientists to provide coincident EO imagery
  • Identify potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Identify potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL-related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine if there are gaps in the newly obtained GEOINT or sensor data that may need to be supplemented by other sources
Bonus Skills:
  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems
Other Information:
  • Occasional travel may be required outside of the DC area to support events or exercises
  • Local travel may be required to attend meetings at government facilities
  • Surge support may be needed at times to support crisis situations
  • Work is located at CTR facility
  • Work schedule is flexible, but a good amount of team collaboration is required which generally occurs M-F from 0900-1500 EST and team members should do their best to be reachable during those core hours