Senior Machine Learning Engineer

Tech Stack

Responsibilities

• Design and implement high-performance C++ software for real-time computer vision and tracking algorithms on edge devices.
• Build and optimize multithreaded and parallel processing pipelines for ingesting, synchronizing, and processing data from a networked system of cameras.
• Implement and tune CUDA kernels and GPU-accelerated components to maximize throughput and minimize latency for inference, tracking, and search.
• Design robust data structures and memory management strategies for handling large volumes of video, sensor, and metadata streams under tight compute and power constraints.
• Profile and optimize code using tools such as perf, valgrind, nvprof / Nsight to identify bottlenecks and improve CPU/GPU utilization.

Soft Skills

Benefits

• 401k
• Dental
• Flexible PTO
• Gym/Wellness
• Health Insurance
• Learning Budget
• Mental Health
• Paid Parental Leave
• Vision

Culture