Senior Software Engineer, AI Platform

LinkedIn is seeking a Senior Software Engineer to join their AI Platform team, focusing on scaling large-scale AI model training and serving infrastructure. This role offers an exciting opportunity to work at the intersection of distributed systems and artificial intelligence, pushing the boundaries of what's possible with large language models and machine learning systems.

The position involves working with cutting-edge technologies and frameworks, including TensorFlow, PyTorch, and various open-source AI tools. You'll be responsible for building and optimizing infrastructure that handles hundreds of billions of parameters models, working with GPU clusters, and implementing high-performance computing solutions.

As a senior engineer, you'll have the opportunity to influence the direction of LinkedIn's AI infrastructure, mentor other team members, and contribute to the open-source community. The team has many open source committers working on projects like TensorFlow, Horovod, Ray, vLLM, and DeepSpeed.

The role offers a competitive compensation package ranging from $128,000 to $210,000 annually, plus additional benefits including equity, health coverage, and flexible work arrangements. The position is hybrid, allowing for a balance between remote work and in-office collaboration at LinkedIn's state-of-the-art facilities.

You'll be joining a team that values innovation, collaboration, and technical excellence. The work directly impacts LinkedIn's ability to serve its 800+ million members through various AI applications, from recommendation systems to large language models and computer vision applications.

This is an excellent opportunity for someone passionate about large-scale distributed systems and artificial intelligence, offering the chance to work on challenging technical problems while contributing to LinkedIn's mission of creating economic opportunity for every member of the global workforce.

The role requires a minimum of 2 years of experience in building deep learning systems and distributed computing, with a strong foundation in programming languages like Python, Java, or C++. You'll be working in a collaborative environment that encourages learning, innovation, and professional growth.

LinkedIn's culture emphasizes diversity, inclusion, and belonging, creating an environment where engineers can do their best work while maintaining a healthy work-life balance. The company's approach to flexible work is centered on trust and optimized for culture, connection, and clarity.