Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

About the Role

Seeking a highly skilled diagnostic engineer to troubleshoot, analyze, and develop software solutions. The ideal candidate will define and implement testing protocols for complex, multi-layered systems and demonstrate proactive problem-solving skills in fast-paced, mission-critical environments.

Responsibilities

• Identifying coverage gaps and improving board and system level coverage
• Define, develop and support regression testing
• Improve usability to assist technicians on triaging failure root cause
• Break down complex systems into testable sub blocks
• Play a vital role in raising the quality of software and identifying areas of risk
• Create an easy-to-use interface for operations to run automation workflows
• Cross-functional work across multiple teams to identify and root-cause improve processes

Requirements

• B.S. degree with 5+ years of software development experience
• Good understanding of embedded device and driver protocols (SPI, I2C, UART)
• Need to be familiar with hardware fundamentals, oscilloscopes and schematics
• At least 3+ years of collaborative development in C/C++ and/or Python
• Working with Git, Continuous Integration (Jenkins) and Agile development processes
• Writing high quality testable code and following good software practices

Preferred Qualifications

• Strong C/C++/Python background with familiar with OOP styles
• Working in a high pace mission critical environment with a manufacturing mind set
• Ability to root cause failures across multilayer software/hardware stacks
• Familiar with Linux, Shell, Make and Unit Test Framework
• Capable of working on remote systems, AWS instances and distributed systems

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU
2. Publish and open source their cutting-edge AI research
3. Work on one of the fastest AI supercomputers in the world
4. Enjoy job stability with startup vitality
5. Our simple, non-corporate work culture that respects individual beliefs

Read our blog: Five Reasons to Join Cerebras in 2024.

Apply today and become part of the forefront of groundbreaking advancements in AI.