HavocAI
Artificial Intelligence • Security • Hardware
HavocAI is a developer of collaborative autonomy for maritime operations, offering a modular software and vehicle stack that enables fleets of autonomous maritime systems to perform contested logistics, sensor fusion and tracking, domain awareness, and escort-and-engage missions. Their product suite includes onboard autonomy (HAVOC OS), scalable communications (HAVOC CLOUD), and a handheld operator interface (HAVOC CONTROL), marketed as a single solution for theater-scaled security and rapid deployment. HavocAI emphasizes real-time, team-led autonomous solutions that run across diverse environments and supports both hardware (autonomous vessels) and software deployment.
AI Systems Engineer – Agentic Autonomy
Job not on LinkedIn
November 20
HavocAI
Artificial Intelligence • Security • Hardware
HavocAI is a developer of collaborative autonomy for maritime operations, offering a modular software and vehicle stack that enables fleets of autonomous maritime systems to perform contested logistics, sensor fusion and tracking, domain awareness, and escort-and-engage missions. Their product suite includes onboard autonomy (HAVOC OS), scalable communications (HAVOC CLOUD), and a handheld operator interface (HAVOC CONTROL), marketed as a single solution for theater-scaled security and rapid deployment. HavocAI emphasizes real-time, team-led autonomous solutions that run across diverse environments and supports both hardware (autonomous vessels) and software deployment.
📋 Description
• Lead the design and development of LLM-powered software modules for mission reasoning, planning, operator interaction, and autonomous decision support. • Integrate LLMs and agentic systems into HavocAI’s autonomy architecture, including ROS/ROS2 systems, planning engines, and mission software. • Build multi-agent, tool-using AI systems that interact with perception data, mission databases, simulation systems, and operator inputs. • Develop APIs, wrappers, and orchestration layers enabling LLMs to interface safely with embedded, cloud, and edge compute environments. • Optimize LLM inference pipelines for performance, latency, and reliability in field-deployed systems. • Evaluate model behavior, perform safety testing, and develop guardrails for mission-critical use cases. • Collaborate with autonomy, embedded, simulation, and full-stack teams to define requirements and ensure robust system-level integration. • Guide strategic decisions on model selection, fine-tuning approaches, safety frameworks, and long-term AI architecture. • Contribute to field testing, operator evaluations, and iterative deployment cycles for AI-augmented autonomy systems.
🎯 Requirements
• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field. • Deep hands-on experience building with LLMs and multi-agent/agentic AI frameworks. • Strong software engineering background in modern ML frameworks, cloud orchestration, and API development. • Experience integrating AI systems into larger software architectures or robotics/autonomy workflows. • Understanding of RAG pipelines, tool-use frameworks, LLM function-calling, memory systems, and agent orchestration. • Experience with safety evaluation, model alignment, or mission-critical AI system validation. • Ability to lead system-level design discussions and coordinate across multiple engineering disciplines. • Must be a U.S. Citizen and eligible to obtain a Secret Clearance.
🏖️ Benefits
• 100% Employer paid Health, Dental and Vision Insurance for you and your families • Life Insurance • Ability to participate in the companies 401k program • 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
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