Software Engineer - New Grad 2026

The role

You will collaborate with engineers to solve challenges across the software stack. You will contribute to software systems impacting the performance, scalability, reliability, and usability of next-generation AI infrastructure.

What you will do

• Collaborate with experienced engineers on real-world systems and infrastructure challenges.
• Design, implement, test, and debug software solutions that directly impact system performance and reliability.
• Contribute to low-level software components interacting closely with hardware and networking infrastructure.
• Learn and contribute across multiple layers of a fully integrated AI-accelerated platform.
• Participate in debugging, performance optimization, and system bring-up activities.
• Develop tools and infrastructure to improve observability, reliability, and scalability.
• Work cross-functionally with hardware, firmware, compiler, and infrastructure teams.

Required qualifications

• Recently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline (graduating in 2026).
• Proficiency in C/C++ programming languages
• Interest or exposure to systems/socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance.
• Desire to work close to hardware/network and learn low-level engineering concepts.
• Detail-oriented but keen to learn the bigger picture and step out of comfort zone.
• Excellent communication and collaboration skills.

Nice to have

• Experience with Linux systems programming or debugging tools.
• Familiarity with TCP/RDMA protocols, RPCs, and packet trace tools such as Wireshark
• Exposure to networking concepts, device drivers, embedded systems, or distributed infrastructure.
• Familiarity with performance optimization or concurrent programming concepts.
• Interest in large-scale AI infrastructure and accelerated computing systems.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.