Jobs at HavocAI

Build and operate scalable data infrastructure and pipelines for video, imagery, telemetry, sensor, log, and mission data. Create searchable data lakes, curated and versioned ML datasets, labeling workflows, quality checks, lineage, monitoring, and reproducible dataset-generation processes. Partner with autonomy, perception, software, simulation, and field teams to support model training, evaluation, debugging, replay, and deployment workflows.

Leads and develops a perception and machine learning engineering team building computer vision, sensor fusion, tracking, detection, and scene-understanding capabilities for autonomous systems. Owns roadmap planning, technical decisions, delivery, model development and deployment workflows, field readiness, hiring, performance management, and cross-functional execution with autonomy, embedded, data, hardware, product, programs, and field operations teams.

Build realistic simulation environments, tools, and infrastructure for autonomous boats, drones, ground vehicles, and multi-agent systems. Develop configurable scenarios, sensor models, agent behaviors, closed-loop SIL and HIL workflows, replay and regression testing, and automated scenario evaluation. Integrate simulations with autonomy stacks, mission software, command-and-control systems, and data pipelines. Improve simulation scalability, fidelity, debugging, and developer workflows while helping engineering teams reproduce field failures and validate systems before deployment.

Build and operate scalable ML infrastructure for data preparation, model training, evaluation, deployment, monitoring, and rollback. Develop AWS and Kubernetes platforms, reproducible pipelines, dataset and model versioning, observability, testing, security controls, and self-service tooling. Partner with autonomy, software, data, simulation, and security teams to support cloud-to-edge ML workflows and reliable production deployments.

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.

The Controller manages the accounting function, ensuring compliance, financial reporting, and internal controls while leading a high-performing team. This role requires strategic oversight and expert knowledge in U.S. GAAP and financial systems.

Lead the on-vehicle autonomy team to design, build, integrate, and field autonomy software for autonomous surface vessels. Own navigation, planning, control, behaviors, safety logic, and autonomy execution; drive architecture, testing, simulation, HIL, field deployments, and cross-functional integration while mentoring engineers and ensuring mission-ready, maintainable autonomy systems.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Lead technical execution for robotics, autonomy, software, hardware, and defense programs. Own schedules, risks, dependencies, integration and test planning, field testing, stakeholder communication, and delivery of mission-ready systems while coordinating cross-functional engineering and customer teams.