Senior Hardware/Software ML Inference IP and Compiler Developer

Role Summary

This role involves focusing on hardware execution related to machine learning, blending hardware design and software compiler expertise to optimize performance on FPGA technology. As a part of the FPGA AI Suite team, the developer will contribute to architectural exploration and trade-off evaluations for ML inference IP.

Experience Level

Senior level with 10+ years of industry experience required.

Responsibilities

The key responsibilities include:

• Design and development of hardware and software for ML inference on FPGAs.
• Architectural evaluation and optimization of data flows and memory structures.
• Hands-on work with soft IP, hardware pipelines, and FPGA toolflows.
• Collaboration with a high-impact team to map ML workloads efficiently onto programmable logic.
• Defend design decisions and contribute to the next generation of ML inference IP.

Requirements

Candidates must possess the following:

• Bachelor’s Degree or higher in Electrical Engineering or a related field.
• 10+ years of hands-on experience in synthesizable RTL, software development, and ML inference.
• Strong knowledge of hardware architectures and ML inference acceleration.
• Experience with FPGAs and development of soft IP is ideal.

Education Requirements

Expected to have a Bachelor's Degree or higher in Electrical Engineering or a related field.

About the Company

Company: Altera

Headquarters: Bengaluru, Karnataka, India

Altera provides leadership programmable solutions for applications ranging from cloud to edge, unveiling limitless AI possibilities. Their extensive product portfolio includes FPGAs, CPLDs, Intellectual Property, development tools, and System on Modules aimed at accelerating innovation in various fields.