Principal Engineer, Tech Lead – ML Acceleration

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🕒 Janeiro 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $240.000 - $330.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Motional

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2020

🚗 Transporte

🤖 Inteligência Artificial

Transport • Artificial Intelligence • Automotive

A Motional é uma empresa líder no desenvolvimento de veículos autônomos, focando em tornar o transporte sem motorista uma realidade segura, confiável e acessível. Uma joint venture entre o Hyundai Motor Group e a Aptiv, a Motional tem estado na vanguarda da tecnologia sem motorista há décadas, criando veículos autônomos de Nível 4 da SAE para serviços de transporte por aplicativo e entrega. A empresa enfatiza segurança e inovação, aproveitando o aprendizado de máquina avançado e a tecnologia automotiva para construir veículos totalmente autônomos que se integram perfeitamente às redes de mobilidade, proporcionando uma experiência agradável para o transporte diário e entregas.

Descrição

• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration. • Provide technical guidance, mentorship, and career development opportunities to team members. • Foster a collaborative and inclusive team environment. • Define team goals, priorities, and roadmap in alignment with company objectives. • Define the technical vision and strategy for ML acceleration across the organization. • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training. • Design, develop, and implement scalable and efficient ML acceleration solutions. • Collaborate closely with ML research, ML Training platform, and product teams. • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. • Act as a technical expert and advocate for ML acceleration initiatives across the company. • Regularly measure and report on the impact of acceleration efforts. • Continuously seek opportunities for further optimization and innovation.

🎯 Requisitos

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, infrastructure, or performance optimization. • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams. • Extensive experience with large-scale ML model training and deployment, ideally in a production environment. • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure). • Deep expertise in ML frameworks such as PyTorch or JAX. • Proficiency in performance profiling and optimization techniques for ML workloads. • Strong programming skills in Python; C++ experience is a plus. • Knowledge of MLOps principles and practices.

🏖️ Benefícios

• Medical • Dental • Vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance