Senior Software Engineer, Perception Architecture

🕒 il y a 3 mois

🔔 Pennsylvania – Distant

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⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 25%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Stack AV

Stack AV

51 - 200 employés

📦 Logistique

🏭 Fabrication

💼 Conseil

Logistics • Manufacturing • Consulting

Stack AV est une entreprise qui révolutionne l'industrie du transport grâce à ses solutions de camions autonomes, impulsées par une intelligence artificielle avancée. L'entreprise se concentre sur le développement de systèmes autonomes alimentés par l'IA pour améliorer la sécurité, la fiabilité et l'efficacité des opérations de camionnage. Stack AV s'engage à relever les défis de l'industrie du camionnage en concevant des solutions intelligentes visant à optimiser l'intelligence de la chaîne d'approvisionnement, les résultats commerciaux et la rapidité de livraison. La sécurité est un principe fondamental, et l'entreprise tire parti des technologies d'IA de pointe, d'apprentissage automatique et cloud pour innover dans l'industrie.

Description

• Contribute to the technical direction of the Perception Architecture team and the broader perception organization. • Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios. • Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection. • Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration. • Lead challenging technical topics and build consensus across sister teams (e.g., Actor Detection, Scene Understanding, Tracking) and stakeholders to ensure autonomy-wide alignment.

🎯 Exigences

• BS (with 4+ years of experience), MS (with 2+ years of experience), or PhD (with 1+ years of experience) in a perception-related field, such as Robotics, Computer Vision, or Machine Learning. • Extensive experience architecting, training, and evaluating deep learning models for challenging problem spaces. • Track record of driving applied research or engineering projects from conception and experimentation to successful productization. • Strong experience in software engineering, machine learning algorithm design, and building data/metrics pipelines for ML development. • Fluency in Python and hands-on experience with C++. • Experience delivering detection, segmentation, tracking, or other perception solutions for real-time robotic applications, with prior experience in sensor fusion being highly desirable.

🏖️ Avantages

• Health insurance • Flexible work arrangements

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