Senior/Staff Perception Software Engineer, CV/ML

Key Skills

Algorithms, B2B, C++, C++11 Programming, Computer Vision (CV), CUDA kernels, Deep Learning, Design, Docker, Kubernetes-K8s, LiDAR, Machine learning techniques, OpenCV, Optimization, PyTorch, SLA, TensorFlow, TensorRT

Job Description

We are looking for talented Staff Engineers with expertise in classical and modern computer vision techniques to lead or actively contribute to the architecture, design, implementation, and delivery of a multi-modal perception system. The ideal candidate will be a software expert who has overseen a process from the R&D phase through product shipment and has a passion for leading teams and developing real-world solutions. 

This role is onsite 4 days a week at our Mountain View, CA office!

What you'll do:

• Design and implement key components of perception system such as object detection, object tracking, and multi-sensor fusion
• Build software infrastructure to enable learning algorithms to leverage large scale image/LIDAR data 
• Design and write highly optimized pipelines for data pre-processing, model training, data post-processing, inferencing etc.
• Train perception models, evaluate their performance, investigate and fix performance bottlenecks
• Develop scalable training and evaluation tools and infrastructure
• Collaborate with other engineers to conduct system integration and tests

What we're looking for:

• Masters’ or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related field
• 7+ years of related experience
• 2+ years of professional experience working on Computer Vision using C++ and OpenCV
• Expert knowledge of modern C++ (C++11 or later) and Python
• Experience in deploying perception algorithms into real-world environments
• Familiar with NVIDIA software libraries such as CUDA or TensorRT
• Experience building testing and evaluation platforms
• Familiarity with deep learning applied to computer vision problems
• Experience working on Computer Vision problems in at least two of the following subjects: Feature detection & matching, Image Filtering, Object Tracking, 3D Estimation, 3D Reconstruction, SLAM
• Proficiency in modern container technologies including Docker and Kubernetes
• In-depth understanding of software performance and optimization
• Strong math fundamentals and a good grasp of 3D geometry and vector math
• Worked with one or more neural network frameworks, such as Tensorflow or PyTorch