Embedded Perception Engineer

Havoc

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Own end-to-end perception pipelines deployed to operational systems
  • Design, train, and optimize perception models for maritime environments
  • Develop object detection, classification, and tracking systems
  • Fuse multi-modal sensor data (camera, radar, lidar) into unified perception outputs
  • Deploy models using NVIDIA Triton Inference Server
  • Optimize inference for latency and throughput on edge hardware
  • Integrate perception outputs into autonomy stacks
  • Define metrics and evaluation frameworks to monitor deployed system health

Requirements

  • Bachelor’s or higher in Computer Science, Electrical Engineering, Robotics, Machine Learning, or related field
  • 3+ years developing and deploying computer vision or perception systems in C++ and/or Python on Linux
  • Experience with modern deep learning frameworks like PyTorch or TensorFlow
  • Hands-on experience with large vision models (ViT, CLIP, SAM, etc.)
  • Experience implementing sensor fusion across heterogeneous modalities
  • Proficiency with NVIDIA Triton, TensorRT, ONNX Runtime, or equivalent inference tooling
  • U.S. Citizenship and eligibility for U.S. security clearance

Preferred Qualifications

  • Experience deploying perception systems on embedded platforms (Jetson, FPGA)
  • Familiarity with maritime or aerial sensor environments
  • Knowledge of autonomy frameworks (ROS2, MOOS-IvP)
  • Experience with safety-critical or real-time systems

Benefits

  • 100% Employer paid Health, Dental and Vision Insurance for you and your families
  • Life Insurance (Employer Paid)
  • 401k program with matching
  • Unlimited PTO policy with an enforced 2 week minimum
  • Equity Package
  • Work / Home Office Stipend
  • Global Entry
  • 16 Week Paid Parental Leave
  • Monthly Health and Wellness Stipend

About the Company

Havoc is a leader in all-domain collaborative autonomy, providing software-defined hardware for military and commercial-grade autonomous systems across sea, air, and land.

Skills & tools

Computer VisionC++PythonPyTorchNVIDIA Triton

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's in CS, EE, Robotics, or ML
  2. 023+ years CV/Perception experience
  3. 03C++ and Python proficiency
  4. 04Deep learning frameworks (PyTorch, TensorFlow)
  5. 05Large vision models (ViT, CLIP, SAM)
  6. 06Sensor fusion experience
  7. 07NVIDIA Triton/TensorRT/ONNX
  8. 08U.S. Citizenship
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