FPGA Design Engineer

Company Description

Sq.M Technologies in Pune is a team of Embedded Product Engineers and Innovators specializing in designing and developing medical and automation systems using Xilinx and Altera FPGAs. With expertise in end-to-end embedded product engineering, hardware design, firmware/software design, styling, and Product compliance, we aim to bring ideas to life through technical expertise and reliable engineering practices. We are seeking a highly motivated and talented FPGA Digital Engineer with a passion for AI Accelerator design to join our team. As an FPGA Digital Engineer, you will be responsible for designing, implementing, and verifying digital circuits for AI Accelerator applications using FPGAs. You will work closely with our team of engineers to develop cutting-edge AI solutions.

Responsibilities:

- Design, implement, and verify digital circuits for AI Accelerator applications using FPGAs (e.g., Xilinx, Intel)

- Develop and optimize AI algorithms for FPGA implementation

- Collaborate with cross-functional teams to define and implement AI Accelerator architectures

- Work with HDLs (e.g., VHDL, Verilog) and HLS tools (e.g., Vivado HLS, Intel HLS)

- Optimize designs for performance, power, and area

- Develop and maintain design flows, scripts, and documentation

- Stay up-to-date with latest developments in AI, machine learning, and FPGA technologies

Requirements:

- BS/MS in Electrical Engineering, Computer Engineering, or related field

- 2+ years of experience in FPGA digital design

- Proficiency in HDLs (e.g., VHDL, Verilog) and HLS tools

- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., cuDNN)

- Strong understanding of digital circuit design principles and computer architecture

- Familiarity with FPGA development tools (e.g., Vivado, Quartus)

- Excellent problem-solving and communication skills

Preferred Qualifications:

- Experience with AI Accelerator design (e.g., neural networks, CNNs)

- Knowledge of FPGA-based AI frameworks (e.g., Xilinx DPU, Intel FPGA AI Suite)

- Familiarity with PCIe, Ethernet, or other high-speed interfaces

- Experience with C++, Python, or other programming languages

Nice to Have:

- Experience with Xilinx or Intel FPGAs

- Knowledge of AI applications (e.g., computer vision, NLP)

- Familiarity with DevOps practices and version control systems (e.g., Git)

If you're passionate about AI Accelerator design and FPGA digital engineering, we'd love to hear from you!