Engineering Manager, Perception and Machine Learning

🕒 vor 1 Monat

⚓ Rhode Island – Remote

⚓ Rhode Island – Remote

💵 $200.000 - $225.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

👮‍♀️ Leiter Softwareentwicklung

👻 Geisterscore 23%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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HavocAI

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2024

📦 Logistik

🏭 Fertigung

🎖️ Verteidigung

💰 Seed Round im 2024-09

Logistics • Manufacturing • Defense

HavocAI entwickelt kollaborative Autonomie für maritime Operationen und bietet einen modularen Software- und Fahrzeugstack, der es Flotten von autonomen maritimen Systemen ermöglicht, umstrittene Logistik, Sensorfusion und -verfolgung, Gebietsüberwachung sowie Geleit- und Einsatzmissionen durchzuführen. Die Produktpalette umfasst die Bordautonomie (HAVOC OS), skalierbare Kommunikationssysteme (HAVOC CLOUD) und eine tragbare Bedienerschnittstelle (HAVOC CONTROL) und wird als eine einheitliche Lösung für sicherheitsrelevante Einsätze im großen Maßstab und schnelle Bereitstellung vermarktet. HavocAI legt Wert auf echtzeitfähige, teamgeführte autonome Lösungen, die in verschiedenen Umgebungen eingesetzt werden und unterstützt sowohl die Hardware- (autonome Schiffe) als auch die Softwarebereitstellung.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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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