Senior Staff AI Software Engineer, Perception

🕒 il y a 1 mois

🏄 California, Oregon, +1 états de plus – Distant

infoinfo

💵 $238 000 - $372 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Agility Robotics, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de Agility Robotics. Vérifiée il y a 4 heures.

Logo of Agility Robotics

Agility Robotics

201 - 500 employés

Fondée en 2017

📦 Logistique

🏭 Fabrication

🔧 Matériel

Logistics • Manufacturing • Hardware

Agility Robotics est un fabricant de premier plan de robots de manipulation mobile, connu pour son robot humanoïde Digit. L'entreprise se concentre sur le déploiement de ses robots dans des contextes commerciaux, tels que les flux de travail de manutention de matériel, pour améliorer la productivité dans divers secteurs, y compris la logistique tierce, la fabrication et le commerce de détail & eCommerce. Grâce à leur solution innovante d'automatisation en cloud, Agility Arc, ces robots offrent des solutions d'automatisation révolutionnaires. Agility Robotics vise à révolutionner le travail en intégrant des robots humanoïdes dans des environnements où le travail significatif et la valeur économique sont cruciaux.

Description

• Own the technical vision and system architecture for Perception enabling safety and efficiency as Digit expands into open, dynamic environments • Analyze architectural tradeoffs across sensing modalities, model design, redundancy, and compute budget while balancing safety, latency, and robustness • Stay hands-on by prototyping, validating, or building critical system components • Partner with functional safety and systems engineering to define safety-case strategy and required evidence • Support system-level failure mode and hazard analysis • Evaluate emerging research and technology for adoption into future robot architectures • Set verification and validation standards for ML-based perception systems, especially rare and safety-critical scenarios • Collaborate with navigation, controls, and hardware teams • Mentor engineers and technical leads • Represent the architecture to executive leadership, partners, and customers as needed

🎯 Exigences

• 8+ years in machine learning/perception for robotics, with a track record of defining system architecture • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related field • Strong foundation in machine learning, robotics, and intelligent systems • Experience architecting ML/perception systems for safety-critical or safety-rated contexts, including human detection, functional safety, automotive, robotics, or a comparable regulated domain • Deep expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation • Experience making system-level tradeoffs across sensing modalities, redundancy, and compute constraints on embedded/real-time hardware • Track record of setting technical direction at an organization level • Direct experience supporting a safety case or certification submission • Experience architecting redundant or diverse sensing systems for safety-rated perception • Experience architecting perception systems for humanoid or legged robots • Experience representing technical architecture to regulators, third-party certifiers, or safety auditors • Substantial experience with FMEA, hazard analysis, and safety case strategy for autonomous or robotic systems

🏖️ Avantages

• 401(k) Plan with a 6% company match • Company stock options • 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees • Benefits eligibility on the first day of employment • Employee Assistance Program (EAP) • Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees • 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually, for non-exempt employees • Catered lunches four times a week and healthy snacks and refreshments at Salem and Pittsburgh locations • Generous paid parental leave programs • Flexible work arrangements • Professional development and tuition reimbursement programs • Relocation assistance for eligible roles • Annual discretionary bonus for eligible roles

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