Lead RTL Design Engineer

Cerebras Systems is at the forefront of AI technology, developing the world's largest AI chip, which is 56 times larger than traditional GPUs. Their innovative wafer-scale architecture enables unparalleled training and inference speeds, allowing users to run large-scale machine learning applications without the complexity of managing multiple GPUs. With partnerships with leading organizations like OpenAI, Cerebras is transforming AI workloads with its high-speed inference solutions.

Responsibilities:

• Drive all aspects of chip design, including Functional Specification, Micro-architecture, RTL development, and Synthesis.
• Manage external ASIC vendors throughout the product development cycle.
• Collaborate with the Physical Design team to achieve design closure and meet performance, power, and area (PPA) goals.
• Work with Design Verification and DFT teams to ensure optimal functional and test coverage.
• Engage with software and system teams to enhance product performance and feature set.
• Debug silicon-level functional, timing, and power issues during silicon bring-up.

Qualifications:

• Master's degree in Computer Science, Electrical Engineering, or equivalent.
• 8-15 years of experience in delivering complex, high-performance RTL designs.
• Experience with Front End Chip integration and third-party IP integration.
• Demonstrated experience in networking, high-performance computing, machine learning, or related fields.
• Proven track record of successful silicon projects.
• Experience managing external vendors.

Skills:

• Experience with high-speed IO design and integration.
• Knowledge of networking stacks including TCP/IP, RDMA, and Ethernet.
• Familiarity with PCIe, CPU interfaces, and Serdes technology.
• Proficiency in scripting tools such as Python and TCL.