Our team has an immediate permanent opening for an Engineer.

Responsibilities:

• Apply relevant AI infrastructure and software/hardware acceleration techniques to build & optimize our intelligent AI/ML systems that improve our products and experiences.
• Apply your distributed system experience to build & optimize the AI/ML infrastructure for scalability, performance and reliability.
• Set project technical goals and milestones, provide architecture and design of the AI system, and implement and benchmark the design.
• Collaborate with multiple teams to deliver the project.
• Apply in depth knowledge of how the AI/ML infrastructure interacts with the other systems around it.
• Work with other engineers / research scientists & improve the quality of engineering work in the broader team.

The base salary for this position ranges from $110,000 to $210,000 depending on education, experience and demonstrated expertise

Requirements

What you’ll bring to the team:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), and SW/HW co-design.

• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.