> Markdown version of [/jobs/ext/2716819-embedded-perception-engineer](https://www.wearedevelopers.com/jobs/ext/2716819-embedded-perception-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Embedded Perception Engineer - **Company:** HavocAI Inc - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Computer Vision, C++ (Programming Language), Linux, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Tensorflow, Sensor Fusion, Real Time Systems, Pytorch, Deep Learning, Information Technology, Optimization Algorithms, ONNX (Open Neural Network Exchange) Format, Operational Systems, TensorRT - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/embedded-perception-engineer-havocai-8130747 ## About the Role * 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 (PyTorch, 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 * Ability to quickly navigate and understand complex codebases * Strong systems-thinking mindset * U.S. Citizenship and eligibility for U.S. security clearance Preferred Skills: * Experience deploying perception systems on embedded platforms (Jetson, FPGA, similar) * Familiarity with maritime or aerial sensor environments * Experience optimizing models for edge inference * Knowledge of autonomy frameworks (ROS2, MOOS-IvP) * Experience with safety-critical or real-time systems * Familiarity with military systems and defense acquisition processes ## Description As an Embedded Perception Engineer, you will own how our autonomous systems perceive and understand the world - in real time, in operational environments, and under demanding maritime conditions. This role goes beyond model training. You will architect, deploy, and optimize perception pipelines that run reliably on embedded edge hardware. You'll work across vision models, sensor fusion, and high-performance inference to deliver robust situational awareness to autonomous surface vessels executing real-world missions. If you thrive in dynamic environments, enjoy squeezing maximum performance from embedded AI systems, and want to see your work field-tested and mission-proven, this role offers immediate and meaningful impact., * Deploy models using NVIDIA Triton Inference Server * Optimize inference for latency and throughput on edge hardware * Apply quantization, pruning, and other optimization techniques Cross-Team Collaboration * Integrate perception outputs into autonomy stacks alongside mission software and platform teams * Support troubleshooting of perception performance in operational environments Field Performance & Monitoring * Define metrics and evaluation frameworks to monitor deployed system health * Investigate perception failures and drive resolution across teams End-User Engagement * Partner with operators and customers to translate field challenges into engineering solutions ## Related Videos - [From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2](https://www.wearedevelopers.com/videos/100295-from-perception-to-autonomy-building-agentic-edge-ai-robots-with-ros-2) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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