Ludwig Computing FPGA Intern – Custom Compute Hardware Mill Valley, CA · Remote · Intern Company website

Apply for FPGA Intern – Custom Compute Hardware

About us: 

At Ludwig Computing, we are solving the energy efficiency problem of intelligent compute. Our novel co-designed approach is optimized to deliver radical improvements in energy efficiency and performance for various AI workloads. We are building a future where high performance computing is powered by leaner, smarter, and extremely efficient hardware and software platforms. Join us at the ground floor as we build the future of intelligent compute.  

About the Role 

We are looking for a technically exceptional and intellectually curious Hardware Engineer intern who is passionate about hardware acceleration and wants to work on cutting-edge compute platforms. You will work directly with the founding team to assist in implementing and validating core logics, processing algorithms, and other subsystems. This is a hands-on, research-meets-build role in developing custom blocks for advanced computational workloads. This internship is primarily focused on FPGA-based prototyping and hardware bring-up, with opportunities to explore ASIC-relevant design flows and system-level integration in support of broader architectural development. Candidates interested in system-level digital prototyping and early-stage accelerator development are encouraged to apply. 

Responsibilities 

• Translate architectural concepts into FPGA prototypes 
• Design and simulate custom processing modules using Verilog, VHDL, or high-level synthesis (HLS) 
• Implement and validate processing components on FPGA platform using industry-standard tools (e.g., Vivado, Quartus, or OpenCL-based flows) 
• Benchmark performance and optimize tradeoffs in latency, area, throughput, and memory bandwidth 
• Build testbenches, run timing/area analysis, and assist with system integration 
• Collaborate with the team to define hardware/software boundaries, and support bring-up of real demos. 

Requirements 

• Experience with FPGA development, RTL or HLS-based design in Verilog/SystemVerilog, VHDL, or C++ 
• Familiarity with FPGA development tools (Vivado, Quartus, or equivalent) 
• Strong grasp of digital logic fundamentals, including pipelining and timing closure 
• Experience with memory mapping and hierarchy on FPGA. 
• Strong skills in simulation, debugging, and synthesis workflows 
• Currently pursuing a degree in engineering (preferably Electrical Engineering, Computer Science) 

Bonus if You Have 

• Experience with OpenCL or HLS-based design targeting FPGA 
• Prior Experience with FPGA development boards 
• Familiarity with hardware/software co-design and system-level integration 
• Course work or project experience in digital design, computer architecture, or embedded systems.  
• Understanding of memory system tradeoffs 
• Exposure to numerical computing, or custom arithmetic units 
• Exposure to ASIC design concepts, such as synthesis, floor planning, or RTL-to-GDS toolchains 
• Familiarity with analog or mixed-signal concepts 
• Currently PhD/MS student in EE/CS 

What You'll Gain 

• Opportunity to work on next generation AI compute architectures 
• Hands-on experience building novel, high-speed, energy-efficient compute accelerators on FPGAs 
• Opportunity to build skills that bridge into ASIC flows, including RTL quality, test benching, and synthesis-readiness 
• Mentorship from a team with expertise in hardware-software co-design, digital architecture, and early-stage prototyping