FPGA Design Engineer

Company Description

Our mission is to redefine AI compute architecture by designing efficient, innovative, and cutting-edge hardware and software solutions. We are a passionate team of engineers pushing the boundaries of what's possible in AI hardware.

Role Description

We are seeking a highly motivated FPGA Design Engineer to join our team on a full-time basis. This role is based in Mountain View, CA. As an FPGA Design Engineer, you will play a pivotal role in designing, developing, and optimizing our next-generation AI compute hardware solutions. You will work closely with a team of experts to implement high-performance FPGA designs that accelerate AI workloads through efficient vector and matrix operations, reduction algorithms, and advanced memory management techniques. Hands-on experience with Xilinx and/or Altera FPGA platforms is required.

Responsibilities & Qualifications

FPGA Development:

• Develop, simulate, and implement custom hardware solutions on both Xilinx and Altera FPGA platforms.
• Utilize industry-standard tools such as Vivado and Vitis (for Xilinx) or Quartus Prime (for Altera) for design, synthesis, and debugging.

Interface & System Integration:

• Design and implement high-speed AXI Master/Slave interfaces, DMA operations, and robust interconnect solutions.
• Collaborate with hardware and software teams to integrate FPGA designs into larger AI compute systems.

Algorithm Implementation:

• Implement and optimize vector and matrix operations, including reduction algorithms and matrix tiling techniques, to accelerate AI workloads.
• Analyze and optimize computational pipelines for efficient data processing and throughput.

Performance Analysis & Optimization:

• Monitor, analyze, and debug hardware traffic, ensuring optimal performance and scalability.
• Work on quality-of-service (QoS) and bus traffic monitoring to identify and resolve system bottlenecks.

Documentation & Collaboration:

• Develop comprehensive documentation, test benches, and design reviews.
• Participate in cross-functional team meetings to discuss design improvements and project progress.

Educational Background:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.

FPGA Expertise:

• Proven experience in FPGA design and development, with a strong portfolio of completed projects.
• Hands-on experience with both Xilinx and/or Altera FPGA platforms and their respective toolchains.

Technical Skills:

• Proficiency in hardware description languages such as Verilog, VHDL, and/or SystemVerilog.
• Solid understanding and practical experience with AXI interconnect, QoS traffic monitoring, and DMA operations.
• Demonstrable expertise in implementing vector and matrix operations, reduction techniques, and matrix tiling for hardware acceleration.

Analytical & Problem-Solving:

• Strong analytical skills with the ability to troubleshoot and optimize complex hardware systems.
• Excellent communication skills and a collaborative mindset to work effectively within a dynamic team environment.

Desirable Experience:

• Prior exposure to AI compute hardware or acceleration platforms.
• Familiarity with high-level synthesis (HLS) tools and hardware-software co-design methodologies.
• Experience in embedded systems design and debugging.

Why Join Us?

You’ll have the opportunity to work on revolutionary AI hardware alongside a talented, passionate, and ambitious team. This role provides a chance to grow your technical skills, gain valuable hands-on experience, and contribute to groundbreaking innovations in AI compute hardware. Additionally, as part of our team, you’ll be eligible for company stock options, allowing you to share in our long-term success.