About Arcfield
Sourced by ZipRecruiter
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Chantilly, VA, US
Year founded
2021
Job description
Responsibilities We are looking for a SENSOR SYSTEMS ENGINEER to join a skilled, highly respected, and long-standing team supporting New Capabilities Integration efforts for emerging systems. The successful candidate will support product evaluations, quality studies, new product initializations, and/or product algorithm assessments. The candidate should have a working understanding and practical application of modeling components of the image path, including sensor, detector, atmospheric, and material properties. Familiarity with current systems and products will be necessary to develop, assess, and execute test and verification methodologies. Activities include, but are not limited to: * Sensor modeling; decomposing product formation elements to quantify the overall quality of the image chain
- Algorithm assessment to quantify the performance of a product given desire mission application
- Performing baseline assessment of system performance to support sensor initialization
- Operational monitoring of system performance over time
- Responding to detected errors and artifacts by recommending possible causes and corrective actions
- 8 to 10 years of experience with a BS, 6 to 8 years with a MS, or 3 to 5 years with a PhD
- A degree in Imaging Science or Engineering
- Experienced in Image Science (Phenomenology, Sensor technology, Image Processing)
- Understanding of Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data.
- Understanding and application of image quality standards, scales, metrics, and image quality equations.
- Applied knowledge of sensor imaging systems, products, and exploitation processes
- Understanding of the systems engineering lifecycle, including independent testing and data verification
- Strong written and oral communication skills
- Ability to work independently as well as part of a team
- Willingness to learn, solve problems, and perform in a dynamic work environment
- Understanding of the enterprise TCPED process
- A basic understanding of RF analysis and potential antenna modeling
- Experience working in a DoD or IC operational environment
- Experience working on Product Initialization teams
- Understanding of Machine Learning and Neural Network algorithms
arcfield.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Photonics Engineer?
A: To succeed as a Photonics Engineer, one must possess core technical skills such as proficiency in optics, laser physics, and semiconductor materials, as well as expertise in programming languages like MATLAB and Python for simulation and data analysis. Additionally, strong soft skills like effective communication, teamwork, and problem-solving abilities are crucial for collaborating with cross-functional teams and presenting complex technical information to stakeholders. By combining these technical and soft skills, Photonics Engineers can drive innovation, troubleshoot complex optical systems, and contribute to the development of cutting-edge technologies, ultimately driving career growth and success in the field.
Q: What is the career path for a Photonics Engineer?
A: A Photonics Engineer's typical career progression involves starting as a Junior Engineer or Research Assistant, where they develop foundational knowledge in optics, materials science, and engineering principles. As they gain experience, they can move into mid-level roles such as Optical System Designer, where they apply their skills to design and develop complex optical systems, and later transition into senior roles like Technical Lead or Senior Optical Engineer, where they oversee projects and mentor junior engineers. Throughout their career, Photonics Engineers can develop skills in areas like laser technology, fiber optics, and optoelectronics, and pursue opportunities in industries like telecommunications, healthcare, and aerospace, ultimately leading to roles in management, research, or academia.
