Engineering Manager, Perception and Machine Learning

🕒 Setembro 16

⚓ Rhode Island – Remoto

⚓ Rhode Island – Remote

💵 $200.000 - $225.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 22%

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HavocAI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

📦 Logística

🏭 Manufatura

🎖️ Defesa

💰 Seed Round em 2024-09

Logistics • Manufacturing • Defense

A HavocAI é uma desenvolvedora de autonomia colaborativa para operações marítimas, oferecendo um conjunto modular de software e veículos que permite frotas de sistemas marítimos autônomos realizarem logística em ambientes contestados, fusão de sensores e rastreamento, consciência situacional e missões de escolta e engajamento. Sua gama de produtos inclui autonomia a bordo (HAVOC OS), comunicações escalonáveis (HAVOC CLOUD) e uma interface de operador portátil (HAVOC CONTROL), oferecida como uma única solução para segurança em grande escala e implantação rápida. A HavocAI enfatiza soluções autônomas em tempo real, lideradas por equipe, que operam em diversos ambientes e oferece suporte tanto ao hardware (embarcações autônomas) quanto à implantação de software.

Descrição

• Lead, manage, and develop a team of perception, machine learning, sensor fusion, and software engineers. • Own team planning, prioritization, execution, and delivery against the Perception & ML roadmap. • Establish clear goals, responsibilities, and expectations and hold engineers accountable for results. • Guide architecture and technical decisions across computer vision, sensor fusion, tracking, detection, classification, segmentation, and related capabilities. • Oversee model training, evaluation, data curation, validation, and deployment workflows. • Ensure perception capabilities meet real-world performance, reliability, compute, and field-readiness requirements. • Partner cross-functionally with Autonomy, Embedded, Data, Simulation, Hardware, Product, Programs, and Field Operations. • Translate customer, mission, and product requirements into engineering priorities and execution plans. • Use field data, testing results, and operator feedback to prioritize improvements and address performance gaps. • Establish practices for design reviews, code reviews, testing, model evaluation, release readiness, and technical documentation. • Identify and communicate execution risks, dependencies, resource constraints, and technical tradeoffs. • Coach and develop engineers through feedback, performance management, career development, and mentorship. • Recruit, interview, onboard, and retain high-performing engineers. • Foster technical excellence, ownership, collaboration, and continuous improvement.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Engineering, or a related technical field. • 7+ years of relevant engineering experience in perception, machine learning, computer vision, robotics, autonomy, sensor fusion, or related fields. • 2+ years of direct people-management experience, ideally managing engineers in a highly technical environment. • Strong technical understanding of modern perception systems, including computer vision, sensor fusion, tracking, detection, classification, or ML-based scene understanding. • Experience taking ML or perception capabilities from development through testing and deployment in real-world systems. • Demonstrated ability to manage engineering priorities, technical roadmaps, dependencies, and delivery across multiple initiatives. • Experience hiring, coaching, developing, and evaluating engineering talent. • Strong cross-functional leadership skills and experience partnering with software, autonomy, data, hardware, product, and field teams. • Ability to make sound decisions across technical performance, schedule, resources, risk, and product requirements. • Strong communication skills with the ability to communicate technical issues and tradeoffs to both technical and non-technical stakeholders. • High ownership, sound judgment, and comfort operating in fast-moving, ambiguous environments. • U.S. citizenship and ability to obtain and maintain a security clearance. • Preferred: Advanced degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Vision, or a related field. • Preferred: Previous experience managing a Perception, ML, Robotics, or Autonomy engineering team. • Preferred: Experience with robotics, autonomous vehicles, defense technology, aerospace, maritime systems, or other deployed autonomous systems. • Preferred: Experience with multimodal sensor systems including cameras, EO/IR, radar, LiDAR, AIS, GPS/INS, or IMU. • Preferred: Familiarity with PyTorch, TensorRT, ONNX, CUDA, MLflow, Docker, Kubernetes, NVIDIA Jetson, or similar ML and deployment technologies. • Preferred: Experience with simulation, synthetic data, annotation workflows, and large-scale perception datasets. • Preferred: Experience supporting field testing, customer demonstrations, operational evaluations, or deployed robotic systems. • Preferred: Experience supporting government or DoD programs. • Preferred: Active or prior security clearance.

🏖️ Benefícios

• 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 • Offers Bonus

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