Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across all regimes, enabling end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception (data collection), comprehension (data processing), and prediction(analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness.
The Algorithm Optimization Engineer will improve the computational efficiency and scalability of space domain awareness algorithms by redesigning algorithms, optimizing data structures, and enhancing performance across large-scale data pipelines.
Ideal Candidate
- Demonstrated ability to independently own and drive end-to-end optimization of algorithms,
from performance analysis and bottleneck identification to redesign, implementation, and validation of optimized solutions.
- Robust expertise in algorithms, data structures, and performance tuning for complex computational workflows.
- Proven ability to achieve significant performance improvements through algorithmic design rather than brute-force scaling of compute resources.
Roles & Responsibilities
- Analyse existing Space Domain Awareness (SDA) pipelines to identify computational, numerical, and data-access bottlenecks.
- Design and implement optimized algorithms using efficient data structures, indexing strategies, and pruning techniques.
- Improve computational performance through thoughtful restructuring of algorithms and workflows.
- Implement parallelized or GPU-accelerated components where beneficial while maintaining numerical precision and efficiency.
- Collaborate with domai