Deskripsi Pekerjaan
Join the Google Cloud team to innovate AI models and deliver unparalleled computing power. As a Staff Software Engineer specializing in Cloud ML Compute Services, you will play a pivotal role in shaping the infrastructure that powers the next generation of artificial intelligence. You will collaborate with world-class researchers and engineers to build scalable, high-performance systems that enable machine learning workloads to run efficiently and reliably.
Your work will directly impact millions of users globally as you design and implement robust solutions for large-scale machine learning training and inference. You will drive technical strategy, solve complex architectural challenges, and mentor junior engineers to foster a culture of excellence. If you are passionate about cloud computing and want to build the foundational tools that enable the future of AI, this is the opportunity for you.
Tanggung Jawab
- Design, architect, and implement scalable infrastructure for training and serving machine learning models.
- Collaborate with product teams to define technical requirements and drive feature development.
- Optimize existing systems to improve throughput, reduce latency, and enhance cost-efficiency.
- Ensure the reliability, availability, and security of critical cloud services.
- Mentor and guide engineering teams, conducting code reviews and fostering technical growth.
- Stay current with industry trends in cloud computing, machine learning, and distributed systems.
Kualifikasi
- Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in software development, with a focus on large-scale distributed systems.
- Experience with cloud platforms (e.g., GCP, AWS) and containerization technologies (e.g., Kubernetes, Docker).
- Proficiency in programming languages such as Python, Go, or C++.
- Strong understanding of machine learning frameworks and infrastructure needs.
- Fluency in Mandarin and English is required.