At a Glance
- Tasks: Develop software for cutting-edge AI hardware and optimize network performance.
- Company: Cerebras Systems, a leader in AI chip technology with a collaborative culture.
- Benefits: Competitive salary, job stability, and a non-corporate work environment.
- Other info: Embrace continuous learning in a diverse and inclusive workplace.
- Why this job: Join a team transforming AI with the world's largest supercomputer and make a real impact.
- Qualifications: Master's/PhD in Computer Science or Electrical Engineering, or 3+ years industry experience.
The predicted salary is between 135000 - 165000 $ per year.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
The Host and Network IO Team develops the full IO path implementation between a distributed system of server nodes, through the cluster, down to the custom RoCE network stack implemented in Cerebras' system, and over the proprietary IOs onto the WSE. As a software developer on the team, you will interface between AI application-level IO teams, cluster architecture teams, and FPGA/ASIC teams to develop solutions that optimize bandwidth and latency while minimizing congestion, pauses, pause spreading, unfairness, etc. Strong skills in socket programming will enable you to deploy robust management operations, while deftness in RDMA Verbs will enable you to optimize CPU resources and shape network traffic to deliver real world impact on AI performance metrics, as well as developing tools for gaining insight and visibility into network behavior. Meticulous analysis and rigour are key tenants of this role, harnessing that together with a deeply-understood mental model of the server, NIC, protocol, switch, and custom hardware behavior will enable you to lead network debug, optimize traffic patterns, and prescribe architectural changes.
Responsibilities
- Develop x86 & ARM software to expose next-generation hardware IO capabilities for AI/HPC application teams
- Govern a generic IO API with multiple internal users.
- Develop control and configuration subsystems directly interacting with Cerebras hardware
- Drive network performance debug of large AI clusters
- Gather and analyze network statistics and packet traces to root cause and alleviate bottlenecks and sub-optimalities.
- Develop tools/telemetry for increasing visibility into the network and IO datapath.
- Optimize cpu/mem utilization leveraging kernel bypass and zero-copy techniques
- Integrate leading edge networking technologies and protocols
- Lead cross-functional technical projects spanning multiple teams and integrating diverse software and hardware components to deliver an improved network IO solution.
- Foster clear and effective communication across teams and stakeholders.
Skills & Qualifications
- Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, OR 3+ years industry experience.
- Experience in large software environments.
- Embedded systems, HW/SW co-design, and some driver development.
- Network protocol familiarity (TCP, RoCE) and network debug tools such as Wireshark, or willingness to learn
- Some network switch environment familiarity or willingness to learn (Arista, Juniper, etc.).
- Detail-oriented but keen to learn the bigger picture and step out of comfort zone to embrace the unknown.
Why Join Cerebras
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
About 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: Find out more about what it's like to work at Cerebras here!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
Software Engineer in Toronto employer: Cerebras
Cerebras Systems is an exceptional employer for those passionate about advancing AI technology, offering a unique opportunity to work on the world's largest AI chip in a dynamic and innovative environment. With a strong emphasis on employee growth, a non-corporate culture that values individual beliefs, and the chance to contribute to groundbreaking projects alongside leading enterprises and startups, Cerebras fosters a collaborative atmosphere where engineers can thrive and make a meaningful impact. Join us to be part of a team that not only pushes the boundaries of AI but also prioritizes job stability and continuous learning.
