Description
We are seeking a Signal Processing Engineer to join our rapidly growing team in Washington DC. You will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions.
You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development.
You will work on developing discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments. You will also design and implement signal processing pipelines, develop and integrate advanced decision logic, and collaborate with software engineers to transition discrimination algorithms from prototypes to production code.
You will engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance.
Your work will involve analysing and optimising algorithms for EO/IR sensor phenomenology, including noise characteristics, SNR considerations, resolution limits, and environmental effects. You will build physics-based models and conduct modelling and simulation, including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance.
You will develop analysis tools to characterise discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments.
To be successful in this role, you will need to possess a deep understanding of EO/IR sensor phenomenology, signal processing techniques, and algorithm development. You will have experience with detection algorithms, filtering, and measurement generation from sensor data, as well as proficiency in coding and transitioning algorithms to production environments.
You will work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems.
If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.
Required Qualifications:
- Currently holds and is able to maintain an active U.S. Secret security clearance
- Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
- 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defence systems
- Strong understanding of EO/IR sensor phenomenology, including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
- Experience with signal processing techniques, including detection algorithms, filtering, and measurement generation from sensor data
- Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
- Experience with modelling, simulation, and testing workflows, including physics-based modelling, Monte Carlo analysis, or hardware-in-the-loop environments
Preferred Qualifications:
- Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or a related technical field
- Experience with space or missile defence systems, threat discrimination, or intercept systems
- Experience developing advanced decision logic or adaptive algorithms for classification workflows
- Demonstrated experience with pattern recognition, computer vision, or image processing for defence applications
- Experience handling discrimination challenges, including countermeasures, spoofing, and contested/degraded sensing environments
- Background in fire control systems, GNC integration, or kill vehicle systems
- Experience with radar systems, RF signal processing, or multi-modal sensor fusion
- Demonstrated experience working within systems engineering processes, including requirements management, trade studies, and verification/validation
- Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains
US Salary Range $146,000-$194,000 USD