Key Responsibilities:

1. Thoroughly research and understand the problem to be solved: Conduct in-depth analysis of the problem, gathering all relevant information and identifying the key challenges.
2. Characterize and collaborate in preparing test scenarios, simulation tools, and a test database: Define the specific test cases and develop the necessary tools to evaluate the proposed solutions effectively.
3. Formulate multiple solution alternatives while maintaining productive communication with stakeholders: Engage in open discussions with stakeholders to gather their input and incorporate their requirements into the solution development process.
4. Implement the alternatives in Matlab, Python, and/or C++: Utilize programming skills to translate the solution concepts into functional code, ensuring efficiency and adherence to best practices.
5. Conduct comparative analysis and evaluate the alternatives as solutions to the problem, considering their impact on overall system performance: Perform rigorous testing and evaluation to assess the effectiveness of each alternative, taking into account their impact on the overall system's performance and resource utilization.
6. Present the alternatives and select the preferred solution: Summarize the findings of the comparative analysis and present the recommended solution, providing clear justifications for the selection.
7. Document the algorithm: Create detailed documentation that clearly explains the algorithm's design, implementation, and usage.
8. Guide software/hardware engineers in its implementation: Provide technical guidance and support to software and hardware engineers during the implementation phase, ensuring the successful integration of the algorithm into the system.
9. Conduct standalone tests: Perform comprehensive standalone tests to verify the functionality and performance of the algorithm in isolation.
10. Execute end-to-end tests: Integrate the algorithm into the overall system and conduct end-to-end tests to validate its integration and compatibility with other components.
11. Characterize experiments, provide guidance, and interpret results: Define and design experiments to evaluate the algorithm's performance in various scenarios, provide guidance to data collection and analysis efforts, and interpret the results to draw meaningful conclusions.

Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Science, Electro-Optics, or a relevant field
• Advanced degree preferred
• Over 10 years of experience in classical image processing, association problems, or sensor data fusion
• Strong analytical skills
• Self-learning capabilities
• Extensive knowledge of statistics and probability

Additional Notes:

• This role involves a significant amount of technical work and requires a deep understanding of algorithms and programming techniques.
• The ability to effectively communicate complex technical concepts to both technical and non-technical audiences is essential.
• The ideal candidate will be a creative and innovative problem solver with a passion for developing cutting-edge solutions.