Andrenam · 2 months ago
Perception Engineer
Andrenam is building sonar and sensing systems focused on maritime autonomy and defense technology. The Perception Engineer will develop algorithms to enhance maritime sensor systems, applying expertise in machine learning and digital signal processing.
Artificial Intelligence (AI)Marine TechnologySensor
Responsibilities
Design, implement, and optimize ML models for audio signal classification, source localization, and beamforming
Develop and deploy real-time DSP algorithms for hydrophone array data, focusing on noise reduction, signal enhancement, and feature extraction
Collaborate with hardware teams to integrate algorithms with embedded systems and sensor platforms
Prototype and validate signal processing and ML solutions using real-world datasets collected from ocean environments
Drive the design and implementation of robust, scalable pipelines for processing high-bandwidth sensor data in real time
Evaluate and integrate emerging ML/DSP technologies to enhance system performance
Document processes, results, and lessons learned for continuous improvement and knowledge sharing
Qualification
Required
Expertise in Machine Learning (ML)
Expertise in beamforming
Expertise in digital signal processing (DSP)
Experience in developing innovative perception algorithms
Experience in applying expertise in ML, DSP, and audio processing
Experience in designing, implementing, and optimizing ML models for audio signal classification, source localization, and beamforming
Experience in developing and deploying real-time DSP algorithms for hydrophone array data
Experience in collaborating with hardware teams to integrate algorithms with embedded systems and sensor platforms
Experience in prototyping and validating signal processing and ML solutions using real-world datasets
Experience in driving the design and implementation of robust, scalable pipelines for processing high-bandwidth sensor data
Experience in evaluating and integrating emerging ML/DSP technologies
Experience in documenting processes, results, and lessons learned
Preferred
Strong expertise in DSP, including beamforming, filtering, and spectral analysis
Experience building and deploying ML models for audio or time-series data analysis
Proficiency with frameworks like TensorFlow, PyTorch, or ONNX for ML development
Solid understanding of acoustics and audio processing, particularly in underwater environments
Knowledge of signal source localization techniques (e.g., TDOA, MUSIC, or SRP-PHAT)
Experience with sensor fusion with recursive Bayesian estimation such as Particle Filtering, Discrete Bayesian Estimation etc
Experience with Python, MATLAB, and/or C/C++ for algorithm development
Familiarity with edge computing, real-time systems, and deploying ML models on embedded hardware
Strong understanding of noise mitigation techniques and handling low-SNR signals
Proficiency with containerization and cloud platforms (e.g., Docker, Kubernetes, AWS)
Experience working with hydrophone arrays or other maritime sensors
Benefits
Long-term equity incentive program with significant growth potential.
Flexible PTO and paid holidays.
Comprehensive medical, dental, vision insurance.
401k
Lunch and snacks provided in office.
Access to a unique work environment, blending technology, maritime, and defense.
Company
Andrenam
Andrenam builds an AI-powered, distributed maritime sensing network for persistent autonomous awareness.