We are looking for a Senior Algorithm Engineer to join a high-velocity R&D team developing advanced real-time algorithms for mission-critical defense systems. The role focuses on designing, implementing, and evolving estimation, inference, and decision algorithms that operate under real-world constraints such as uncertainty, latency, partial observability, and adversarial conditions. You will take ownership of core algorithmic components from theoretical formulation through deployment in operational systems.
Responsibilities:
• Design, implement, and maintain real-time estimation and inference algorithms operating on heterogeneous sensor inputs. • Develop and tune probabilistic state-estimation models, including non-linear filters, adaptive models, and prediction mechanisms. • Implement uncertainty management, gating, clustering, hypothesis handling, and state lifecycle logic. • Integrate AI/ML components where they provide measurable value (classification, anomaly detection, decision support). • Own algorithm performance across stability, convergence, latency, and numerical robustness metrics. • Translate operational and system-level needs into mathematical formulations and deployable algorithms. • Collaborate closely with system engineers and software teams to integrate algorithms into real-time command-and-control environments. • Analyze operational data, simulations, and edge cases; iteratively refine models based on empirical performance. • Participate in algorithm design reviews, trade-off analyses, and performance assessments.
Requirements: • MSc or PhD in Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or Physics. • Strong theoretical and practical background in probabilistic estimation, Bayesian inference, and stochastic systems. • Proven experience developing real-time algorithms for complex, sensor-driven systems (defense, aerospace, robotics, automotive, or similar domains). • Excellent foundation in linear algebra, probability theory, estimation methods, and numerical computation. • Hands-on experience implementing production-grade algorithms in Python or similar. • Experience dealing with asynchronous inputs, missing or degraded data, and noisy measurements. • Experience in tracker development and Data Fusion. • Ability to reason rigorously about algorithm behavior under non-ideal and adversarial conditions. • Comfortable operating in a fast-paced, high-ownership environment with minimal supervision.
Advantages • Experience with defense or security command-and-control systems. • Familiarity with advanced estimation, hypothesis management, or density-based modeling techniques. • Background in hybrid model-based and learning-based algorithmic approaches. • Publications, patents, or demonstrable academically rigorous work. • Valid Level 3 Security Clearance or eligibility.
This position is open to all candidates.