# Embedded Perception Engineer at HavocAI

> Remote · region unclear · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Ahavocai%3A8f48e92d-c46b-48d0-8d0b-d80fe89bc8f0 (read 2026-11-07).

## Facts (observed)

- Company: [HavocAI](https://alderhq.app/companies/havocai)
- Location text: Remote
- Where it can be done from (inferred): Remote · region unclear (evidence: "Remote, region not stated")
- Posted: 2026-02-27 (253 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/havocai/8f48e92d-c46b-48d0-8d0b-d80fe89bc8f0
- Skills listed (inferred): Python, C++, PyTorch, TensorFlow

## Pay and sponsorship

- Posted pay: $150k–$185k per year (from the listing's pay field)

## Description (the employer's text)

### About Us

Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk.

Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy .

### 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 Insurance

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ahavocai%3A8f48e92d-c46b-48d0-8d0b-d80fe89bc8f0 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.