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HavocAI

Affordable, scalable autonomous surface vessels

Embedded Perception Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field is required.
  • At least 3 years of experience developing and deploying computer vision or perception systems in C++ and/or Python on Linux is required.
  • Experience with modern deep learning frameworks such as PyTorch or TensorFlow is required.
  • Hands-on experience with large vision models such as ViT, CLIP, or SAM is required.
  • Experience implementing sensor fusion across heterogeneous modalities is required.
  • Proficiency with NVIDIA Triton, TensorRT, ONNX Runtime, or equivalent inference tooling is required.
  • Ability to quickly navigate and understand complex codebases is required.
  • U.S. citizenship and eligibility for U.S. security clearance are required.

Responsibilities

  • Own end-to-end perception pipelines deployed to operational systems.
  • Deliver high-reliability solutions aligned with mission requirements.
  • Design, train, and optimize perception models for maritime environments.
  • Develop object detection, classification, and tracking systems.
  • Work with large vision models such as ViT, CLIP, and SAM.
  • Fuse multimodal sensor data from cameras, radar, and lidar into unified perception outputs.
  • Collaborate with hardware teams to select and integrate sensors.
  • Develop and validate low-level sensor drivers for high-integrity data pipelines.
  • Deploy models using NVIDIA Triton Inference Server.
  • Optimize inference for latency and throughput on edge hardware.
  • Apply quantization, pruning, and other optimization techniques.
  • Integrate perception outputs into autonomy stacks alongside mission software and platform teams.
  • Support troubleshooting of perception performance in operational environments.
  • Define metrics and evaluation frameworks to monitor deployed system health.
  • Investigate perception failures and drive resolution across teams.
  • Partner with operators and customers to translate field challenges into engineering solutions.

Desired Qualifications

  • Experience deploying perception systems on embedded platforms such as Jetson or FPGA is preferred.
  • Familiarity with maritime or aerial sensor environments is preferred.
  • Experience optimizing models for edge inference is preferred.
  • Knowledge of autonomy frameworks such as ROS2 or MOOS-IvP is preferred.
  • Experience with safety-critical or real-time systems is preferred.
  • Familiarity with military systems and defense acquisition processes is preferred.

About the Company

HavocAI

Affordable, scalable autonomous surface vessels

HavocAI develops scalable maritime autonomy solutions, focusing on ultra-low-cost, high-rate production of Autonomous Surface Vessels (ASVs) for defense and commercial markets. Its approach enables large-scale deployment of multi-mission autonomous ships that can perform security, surveillance, logistics, and environmental monitoring tasks. The way it works is by prioritizing affordability without sacrificing capability, enabling mass production and rapid deployment of a versatile fleet. This makes HavocAI stand out from competitors by combining cost-effectiveness with high scalability, aiming to supply thousands of autonomous maritime assets. The company’s goal is to redefine how maritime autonomy is adopted and integrated worldwide through widespread, rapid deployment of affordable autonomous vessels.

Company size
201-500
Company stage
Series A
Total funding
$196M
Headquarters
East Providence, RI
Founded
2024

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