captaintrunky
Senior Applied Scientist
More than 10 years of experience delivering production-grade perception systems, onboard autonomy, and real-time computer vision algorithms at scale. Proven track record of shipping deep-tech solutions. Currently seeking principal or technical lead roles with high ownership, ambiguity, and cross-functional collaboration.
Experience: 11 years
Yearly salary: $200,000
Hourly rate: $0
Nationality: 🌏 Remote
Residency: 🇦🇹 Austria
Experience
Applied Scientist
Amazon Prime Air 2022 - 2025
End-to-end ownership of perception algorithms and infrastructure for onboard autonomy in global drone delivery operations. Designed, implemented, and deployed production-grade vision algorithms considering real-time and resource constraints. Supported and improved deployed algorithms in active operations, ensuring operational robustness. Built and maintained internal tools for simulation, testing, and data processing to accelerate development workflows across the perception stack.
Senior Engineer
Huawei 2019 - 2022
Computer vision R&D for mobile sensor platforms, with a focus on image processing, dataset design, and production deployment. Development of deep learning-based image enhancement algorithm aiming flagship mobile devices. Designed protocols and internal tools for scalable dataset collection, improving training efficiency and reuse. Built and maintained deployment pipelines for on-device models optimized for latency and integration with camera subsystems.
Leading Engineer
Samsung 2018 - 2019
Advanced R&D in 3D modeling, deep learning, and visual navigation. Designed and deployed a scalable synthetic dataset generation pipeline for robotics and navigation research. Conducted applied research in SLAM and visual localization, contributing to internal toolchains and publications. Co-authored a paper accepted at IEEE IROS 2019
Research Engineer
Acronis 2017 - 2018
Research and development in backup and cloud data storage systems. Designed a metrics and metadata analysis system at petabyte scale for global data centers. Prototyped ML-based hardware failure prediction tools. Developed algorithms using secure multiparty computation for privacy-preserving analytics.
Research Scientist
Intel Corporation 2013 - 2016
Research and development in EDA/ECAD systems, automatic synthesis, and optimization of nano-scale topologies for integrated circuit components. Developed a methodology and software for preventing design rules violations at standard cells' boundaries. Developed an algorithm for generating standard cells' topologies, considering special design requirements for repeating structures. Implemented several core algorithms for the standard cells' topologies synthesis engine.
Skills
backend
c-plus-plus
computer-science
python
pytorch
ai
english
russian