Jobs at HavocAI

Integrate autonomy software with robotic vehicles, sensors, autopilots, actuators, onboard computing, and communication systems. Perform platform bring-up, hardware-in-the-loop testing, troubleshooting, field testing, sea trials, flight tests, and deployments. Develop integration tools, scripts, documentation, and repeatable procedures while collaborating with autonomy, embedded software, hardware, field operations, and product teams. The role requires hands-on debugging across software, hardware, networking, controls, and vehicle behavior.

Manage daily office operations, facilities, vendors, supplies, shipping and receiving, visitors, workplace readiness, and employee support. Provide onsite executive, VIP, meeting, event, and offsite logistical assistance. Coordinate repairs, maintenance, contracts, invoices, inventory, access procedures, safety, and emergency preparedness while improving the workplace experience. This is an onsite role requiring strong organization, communication, discretion, and proactive problem-solving.

Architect and build high-performance frontend systems for real-time geospatial interfaces controlling autonomous systems. Responsibilities include telemetry ingestion, state management, rendering, connectivity resilience, browser performance optimization, geospatial visualization, scalability, technical architecture, design reviews, and mentoring. The role remains hands-on while influencing frontend strategy and solving complex performance and systems-design challenges.

Lead financial planning, budgeting, forecasting, cash management, performance reporting, capital strategy, investor relations, and finance transformation. Partner with the CFO and executive team on strategic decisions, build scalable systems and processes, and develop a high-performing finance organization. Translate financial and operational data into actionable insights while improving accountability, reporting accuracy, and organizational discipline during rapid growth.

Manage FP&A, forecasting, financial modeling, variance analysis, reporting, and strategic finance initiatives. Partner with company leaders on investments, commercial opportunities, spending, M&A, and business decisions. Support accounting processes, improve finance systems and controls, and deliver executive-level insights. The role requires strong corporate finance fundamentals, analytical skills, communication, attention to detail, and the ability to operate in a fast-growing technology environment.

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.

Lead the maturation of an unmanned aircraft system from prototype to fieldable production platform. Design and fabricate airframes, mechanisms, mounts, enclosures, and payload interfaces; integrate propulsion, avionics, sensors, communications, and payloads; create CAD designs and drawings; build test fixtures; conduct bench, ground, environmental, and flight testing; diagnose failures; and rapidly redesign hardware based on test results.

Lead the structural design, analysis, testing, configuration management, and production readiness of a military unmanned aircraft system. Transition the prototype to a fieldable LRIP platform through design-for-manufacturability, subsystem integration, supplier coordination, airworthiness documentation, production testing, and flight-test support. Manage engineering schedules, technical reviews, risks, cost estimates, and a small engineering and technician team while coordinating with manufacturing partners and government customers.

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.

As a Robotics Engineer, you will design and deploy autonomy systems for unmanned ground vehicles, implementing control algorithms, integrating perception pipelines, and ensuring system reliability through field testing and debugging.

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.

Develop, deploy, and own mission-critical autonomy software for maritime systems. Work across networking, autonomy, systems integration, and robotics to build, monitor, and troubleshoot deployed solutions, collaborate with customers and multidisciplinary teams, and scale platform capabilities for operational use.

As a Mission Software Engineer, you'll develop and deploy mission-critical software for autonomous systems, engaging with interdisciplinary teams to solve real-world challenges.

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.

Lead technical direction and execution of autonomy systems for maritime autonomous vehicles. Own architecture and integration across perception, planning, controls, multi-agent coordination, simulation, testing, and field deployment. Mentor senior engineers, drive engineering practices, translate customer needs into requirements, and ensure autonomy capabilities mature from prototype to robust, fielded mission 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.