Remote Software Engineer - MLOps. [HPC AI]

Description:

• Join the AI & Cloud Engineering (ACE) Division and MLOps team to develop a flexible platform for exploring new Deep Learning / Machine Learning model architectures.
• Improve performance, developer efficiency, and deployment velocity for AI training and inference in production environments.
• Develop software tools for AI software & hardware to support internal and external customers, enhancing the entire AI development lifecycle.
• Collaborate with AI engineers to build innovative software tools and integrate them into a software platform for customers.
• Contribute to the development of commercial-grade MLOps products and drive hardware software co-design for AI-specific problems.
• Work towards developing the best AI inference for advanced driver safety engineers and high-performance compute products.
• Opportunity to deploy AI software to billions of devices shipped globally by Renesas.
• Join a team of around 100 software engineers with plans to triple in size in the next three years.
• Focus on hiring in Tokyo, Beijing, and Singapore with relocation support available for successful candidates living outside these cities.

Requirements:

• Bachelor’s or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering, or related field.
• Experience as a Platform Engineer, ML DevOps Engineer, or Data Engineer in building end-to-end systems.
• Strong software engineering skills in complex, multi-language systems with proficiency in C/C++, Python, or related programming languages.
• Familiarity with cloud computing, database systems, and building custom integrations between cloud-based systems using APIs.
• Experience in developing and maintaining ML systems with open source tools, containers, Kubernetes, and data-oriented workflow orchestration frameworks.
• Understanding of software testing, benchmarking, continuous integration, and machine learning frameworks like PyTorch, TensorFlow, ONNX.
• Knowledge of System-on-Chip is a plus.
• Business-level proficiency in English.

Benefits:

• Opportunity to work remotely.
• Chance to be part of a growing team in the AI & Cloud Engineering Division.
• Exposure to cutting-edge AI and cloud technologies.
• Contribution to developing AI inference for advanced driver safety and high-performance compute products.
• Support for relocation to Tokyo, Beijing, or Singapore based on team needs.
• Inclusion in a diverse culture that values belonging and trust.