AI Chip Design Engineer

AI/ML Accelerator Chip & SoC Design Engineer

Job Summary:

The AI/ML Accelerator Chip & SoC Design Engineer will play a pivotal role in designing and optimizing cutting-edge AI/ML accelerator chips and System-on-Chips (SoCs) that push the boundaries of performance and efficiency. This position is crucial for enhancing our organization's capabilities in machine learning and artificial intelligence, directly impacting our product offerings and leading the industry's technological advancements.

Key Responsibilities:

• Design: Develop and optimize RTL designs using Verilog/SystemVerilog for AI/ML accelerator chips and SoCs.
• Microarchitecture: Define and implement microarchitecture strategies that effectively support neural network workloads.
• Low-Power Design: Employ low-power design techniques to ensure efficiency while maintaining high performance.
• ASIC Flows: Manage and execute the ASIC design flow, from specification through synthesis and verification.
• Collaboration: Work closely with cross-functional teams to integrate hardware with software, providing expertise on AI frameworks such as TensorFlow and PyTorch.
• Node Experience: Utilize experience with 7nm process nodes or below to lead design implementations that meet market demands.
• Testing and Validation: Develop testing methodologies and validation approaches to ensure robust performance and reliability of designs.

Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field.
• Extensive experience in RTL design using Verilog/SystemVerilog.
• Strong knowledge of microarchitectural principles for AI and machine learning applications.
• Proven experience with low-power design methodologies and ASIC design flows.
• Familiarity with AI frameworks at the hardware-software interface, specifically TensorFlow or PyTorch.
• Experience with semiconductor nodes at 7nm or below is a significant plus.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Preferred Qualifications:

• PhD in relevant fields of study focusing on AI/ML hardware architecture.
• Demonstrated ability to deliver complex projects on time and to specification.
• Experience in machine learning algorithm development and optimization related to hardware implementations.
• Familiarity with advanced EDA tools for design verification and timing closure.
• Strong communication skills with the ability to present complex ideas effectively to technical and non-technical stakeholders.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision plans.
• Retirement savings plan with employer matching.
• Flexible work hours and remote working options.
• Access to cutting-edge technology and tools for personal and professional growth.
• Opportunity to work in a collaborative and innovative environment on groundbreaking AI/ML technologies.
• Regular team-building activities and professional development opportunities.

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