Senior/Staff Software Engineer, Perception

Who we are: Founded in 2017, Gatik is the leader in autonomous middle mile logistics. We deliver goods safely and efficiently using medium duty trucks with a focus on short‑haul, B2B logistics for Fortune 500 customers such as Walmart and Loblaw. Gatik enables our customers to optimize their hub‑and‑spoke operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. About the role: 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 EEO and Inclusion Statement We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. #J-18808-Ljbffr Booster