Senior Staff AI Software Engineer, Perception

🕒 Ontem

🏄 California, Oregon, +1 estados a mais – Remoto

🏄 California – Remote 🌲 Oregon – Remote 🔔 Pennsylvania – Remote

💵 $238.000 - $372.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Agility Robotics

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

📦 Logística

🏭 Manufatura

🔧 Hardware

Logistics • Manufacturing • Hardware

Começamos com avanços científicos e acrescentamos a isso engenharia de classe mundial. Abordamos tudo com foco na função. Nossos robôs foram projetados desde o primeiro dia para trabalhar e realizar o serviço.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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