Developing software modules to interface with various sensors for Wayve's internal autonomous vehicle fleet

• Own all lidar interface SW applications, which controls lidar and publishes sensor data and diagnostics. Lead team of ~3 engineers

• Designing software components for low latency and safety requirements and deploy to resource constrained platforms.

• Understand needs of cross-functional stakeholders and make sure they are met

• Designed, architect, and implement hardware/software systems for a sensing-for-autonomy platform at a fast paced seed stage startup.

• Responsible for bringup of new FPGA and GPU compute platforms, HW/SW co-design, accelerating signal processing workloads for our lidar and radar sensors, and embedded SW applications (bare metal and freeRTOS)

Tools: Xilinx toolchain, ROS2, CUDA, freeRTOS, SystemVerilog, C++, Python

• Developed a near-cycle accurate C++/SystemC simulator for the Intel/Nervana AI Training ASIC.

• Collaborated with kernels team to optimize common ML primitives

• Collaborated with architects to generate projections and inform next-gen architectural decisions

Digital design and RTL of baseband PHY-layer modem blocks for a FPGA prototyping platform. Team demonstrated the first ever multi-vendor 5G interoperability test of 5G NR.