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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.
Job Responsibility:
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
Requirements:
Bachelor’s degree with 5+ years of industry experience, or Master’s degree with 3+ years of experience in software development and algorithm design
Strong fundamentals in mathematics and excellent problem-solving skills
Proven experience profiling, benchmarking, and optimizing embedded systems
Demonstrated ability to learn quickly, communicate effectively, and show initiative in solving complex system-level problems
Nice to have:
Experience working on point cloud processing algorithms for detection, estimation, and filtering
Worked on fixed-point algorithm implementation on low-end processors
Knowledge of working principles for radars/lidars
Experience optimizing algorithms for different embedded platforms including ARM and SIMD processors
What we offer:
Very competitive compensation and meaningful stock grants
Exceptional benefits: Medical, Dental, Vision, and more
Unlimited PTO
401k plan
Life and disability benefits
Flexible time off
Paid parental leave
11 paid holidays annually
Pre-tax commuter and health care/dependent care accounts
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