What are the responsibilities and job description for the Staff RTL Engineer, Ingress/Egress position at Eridu AI?
About Eridu AI
Eridu AI is a Silicon Valley hardware startup revolutionizing AI training performance. Our innovative solutions address bottlenecks in data centers, enhancing GPU utilization, reducing training cycles, and lowering costs. Validated by AI market leaders, including hyperscalers and other large, well-known AI market participants, our technology is poised to unlock unparalleled AI performance.
The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, systems and software, including serial entrepreneur Drew Perkins, Co-Founder of Infinera (NASDAQ : INFN, Lightera (acquired by Ciena), Gainspeed (acquired by Nokia) and Mojo Vision (the world's leading micro-LED display company and developer of the first augmented reality contact lens).
Position Overview
We are seeking an RTL Engineer to help define and implement our industry-leading Networking IC. If you're a highly motivated self-starter eager to solve real-world problems, this is a unique opportunity to shape the future of AI Networking. As part of the Design Group, you will be responsible for defining, specifying, architecting, executing, and productizing cutting-edge Networking devices.
The candidate will be part of Design Group responsible for defining, specifying, architecting, executing and productizing leading-edge Networking devices.
Responsibilities
- Egress / Ingress Design : Design and architect solutions for high-speed networking device, focusing on latency optimization, memory management, and quality of service (QoS) support.
- Implementation and Testing : Implement memory management designs on FPGA or ASIC platforms, ensuring compliance with industry standards and performance benchmarks. Conduct thorough testing and validation to ensure functionality and reliability.
- Performance Optimization : Analyze and optimize memory management techniques to improve performance metrics. Collaborate with hardware and software teams to achieve optimal integration.
- Protocol Support : Provide support for various networking protocols and standards related to input and output queues, including Ethernet.
- Troubleshooting and Debugging : Investigate and resolve complex issues related to packet queuing, working closely with cross-functional teams, including hardware engineers, firmware developers, and system architects.
- Documentation and Reporting : Create comprehensive documentation, including specifications, test plans, design reviews, and technical reports. Communicate findings and recommendations effectively to stakeholders.
Qualifications
Why Join Us?
At Eridu AI, you'll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities.
The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles.
The pay range for this role is :
210,000 - 280,000 USD per year (San Francisco Bay Area)
Salary : $210,000 - $280,000