Staff Software Engineer, ML Acceleration

🕒 il y a 1 mois

🗣️🇺🇸🇬🇧 Anglais requis

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Stack AV

51 - 200 employés

🚗 Transport

🤖 Intelligence artificielle

Transport • Artificial Intelligence

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

• Analyze ML models to identify and resolve performance bottlenecks. • Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models. • Deliver solutions to streamline model deployment across various hardware platforms. • Collaborate with ML researchers to balance model accuracy and speed. • Implement optimizations using CUDA, Triton, and custom kernels. • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

🎯 Exigences

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • Experience: 5+ years of experience (including experience with GPU programming and optimization) • Technical Skills: • Strong programming skills in C++ and Python • Proven experience in GPU programming and optimization • Familiarity with deep learning frameworks, especially PyTorch • CUDA programming • Triton language for GPU kernels • PyTorch optimization techniques • TensorRT implementation • ONNX model conversion and deployment • Custom GPU kernel development • Deep understanding of GPU architectures and performance optimization • Problem-Solving: Strong analytical and problem-solving skills • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders • Autonomous vehicles (AV) experience is a bonus.

🏖️ Avantages

• Equal opportunity workplace • Culture of inclusion • Entrepreneurship and innovation

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