Lidar Algorithms Software Engineer, Aeva

• Bachelor’s degree with 5+ years of industry experience, or Master’s degree with 3+ years of experience in software development and algorithm design
• 3+ years of experience in developing C/C++ applications with a focusing optimizing algorithm design
• Experience with performance testing, profiling, and instrumentation of embedded software and hardware
• Experience with Arm ISA or other modern ISAs, SoC subsystem like interconnects, memory controllers and DMAs
• Demonstrated ability to learn quickly, communicate effectively, and show initiative in solving complex system-level problems

Desirable

• Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond
• Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module
• Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions
• We are seeking a software engineer to focus on algorithm development for point cloud processing in production software
• This role will focus on driving CPU and memory optimizations across our LiDAR data path, ensuring efficient real-time processing as sensor capabilities and feature complexity continue to grow
• Analyze, benchmark and implement point cloud processing algorithms to achieve CPU, memory, and latency targets
• Implement signal processing, detection, and lidar algorithms in C++ in production software and simulation platforms
• Translate floating-point models to fixed-point for optimal implementation on ARM processors and FPGAs
• Profile, triage, and root-cause complex performance issues in live sensor systems
• Participate in the team's development processes, including requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback, and improvements