Sr. Embedded Software Engineer, Robotics Platform
Vancouver, BC +2Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
5+ ansCandidates need a bachelor's degree or equivalent practical experience, 5+ years of professional software engineering including production C++17 work, and embedded Linux experience. They also need concurrency, real-time or safety-related systems experience, and strong communication skills.
C++, Linux, NVIDIA Jetson, Protocol Buffers, FlatBuffers, Cap'n Proto
VP of IT Infrastructure & Operations
Montréal, QC +4Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
15+ ans8+ gestionCandidates need 15+ years in IT infrastructure and operations, including 8+ years in leadership, and experience running complex distributed environments at a high-growth tech company. Deep knowledge of networking, cloud, identity management and enterprise systems is required, plus experience at a public company and strong communication and vendor management skills.
ERP systems, SaaS applications
Lead Machine Learning Engineer
Montréal, QC +4Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
5+ ansCandidates need a Master's or PhD in a technical field and at least 5 years of experience training and deploying machine learning models in production. Strong Python skills and hands-on experience training models across multiple GPUs or nodes are required.
Python, GPU clusters
Director of Product , Data Flywheel
Montréal, QC +5Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
Candidates need product or engineering experience with data infrastructure in autonomous vehicles, automotive or robotics, plus experience building production ML Ops pipelines. Familiarity with training datasets, model evaluations and active learning is also required.
NAS, cloud infrastructure