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Embedded Perception Engineer

Role overview

Qualifications

  • 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, or similar)

Responsibilities

  • Own end-to-end perception pipelines deployed to operational systems, delivering high-reliability, mission-aligned outputs
  • Design, train, and optimize perception models for maritime environments; develop object detection, classification, and tracking systems; work with large vision models
  • Fuse multi-modal sensor data (camera, radar, lidar) into unified perception outputs and collaborate with hardware teams to select and integrate sensors
  • Deploy models on edge hardware and optimize for latency and throughput (e.g., NVIDIA Triton), including quantization/pruning; define metrics and monitor field performance

About the company

HavocAI logo

HavocAI

Defense Technology

HavocAI is revolutionizing maritime autonomy. Founded in 2024, HavocAI is bringing scalable maritime autonomy solutions and our ultra-low cost, high-rate production ASVs (Autonomous Surface Vessels) to the defense and commercial markets at the speed of relevance. HavocAI is poised to field thousands of autonomous multi-mission maritime assets in domains of pressing need, providing genuinely affordable mass efficiently and expeditiously.

Company details

IndustryDefense Technology
Company size51 - 200

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Job description

About Us:

Collaborative autonomy is how self-tasking teams of machines will solve hard human problems, and HavocAI is an unquestioned leader in collaborative autonomy. We set the standard for autonomous surface vessels for a wide range of defense and commercial maritime missions. Success requires us to grow quickly, and we’re looking for teammates who are passionate about solving hard problems, about pushing the envelope, and about preventing conflict and saving lives. Ambition is welcome to apply within.

About the Role:

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.

Key Responsibilities and Requirements:

Perception System Ownership

  • Own end-to-end perception pipelines deployed to operational systems

  • Deliver high-reliability solutions aligned with mission requirements

Vision Model Development

  • Design, train, and optimize perception models for maritime environments

  • Develop object detection, classification, and tracking systems

  • Work with large vision models (ViT, CLIP, SAM, or similar)

Sensor Fusion & Integration

  • Fuse multi-modal sensor data (camera, radar, 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

Embedded Deployment & Optimization

  • 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

Qualifications:

  • 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

Why This Role Matters

You won’t just build models — you will build perception systems that operate in real-world, contested environments. Your work will directly influence the reliability, safety, and mission success of autonomous platforms deployed at sea.

Benefits:

  • 100% Employer paid Health, Dental and Vision Insurance for you and your families

  • Life Insurance (Employer Paid)

  • Ability to participate in the companies 401k program (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


Our Values:

  • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology.

  • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships.

  • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation.

  • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity.

  • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care.

  • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact.

HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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