Software Engineer New Grad 2026
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, implement, test, and debug software that improves system performance, reliability, scalability, and observability. You will work across low-level infrastructure, hardware interfaces, networking, distributed systems, compilers, and ML frameworks. You will also participate in system bring-up and performance optimization activities.
Requirements
- Recently graduated or currently enrolled in a Computer Science, Computer Engineering, Electrical Engineering, or related university program graduating in 2026
- Demonstrate proficiency in C and C++
- Have interest or exposure to systems programming, socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance
- Be willing to work closely with hardware and networking systems and learn low-level engineering concepts
- Demonstrate communication and collaboration skills
- Be based in Toronto, Ontario, or Sunnyvale, California for a hybrid role
Responsibilities
- Collaborate on systems and infrastructure challenges
- Design, implement, test, and debug software solutions
- Contribute to low-level software components that interact with hardware and networking infrastructure
- Contribute across layers of an AI-accelerated platform
- Participate in debugging, performance optimization, and system bring-up
- Develop tools and infrastructure for observability, reliability, and scalability
- Work with hardware, firmware, compiler, and infrastructure functions