
51 - 200 employees
📦 Logistics
🏠Manufacturing
đź’Ľ Consulting
Logistics • Manufacturing • Consulting
Stack AV is a company that is revolutionizing the transportation industry through its autonomous trucking solutions, driven by advanced artificial intelligence. The company focuses on developing AI-powered autonomous systems to enhance safety, reliability, and efficiency in trucking operations. Stack AV is committed to addressing the challenges of the trucking industry by designing smart solutions to improve supply chain intelligence, business outcomes, and delivery speed. Safety is a core principle, and the company leverages cutting-edge AI, machine learning, and cloud technologies to innovate within the industry.
🔥 14 hours ago
🔔 Pennsylvania – Remote
⏰ Full Time
đź”´ Lead
🧑‍💻 Full-stack Engineer
đź‘» Ghost score 13%
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51 - 200 employees
📦 Logistics
🏠Manufacturing
đź’Ľ Consulting
Logistics • Manufacturing • Consulting
Stack AV is a company that is revolutionizing the transportation industry through its autonomous trucking solutions, driven by advanced artificial intelligence. The company focuses on developing AI-powered autonomous systems to enhance safety, reliability, and efficiency in trucking operations. Stack AV is committed to addressing the challenges of the trucking industry by designing smart solutions to improve supply chain intelligence, business outcomes, and delivery speed. Safety is a core principle, and the company leverages cutting-edge AI, machine learning, and cloud technologies to innovate within the industry.
• Own delivery of Trajectory Generation and Controls features from design through integration • Provide input to team roadmaps and ensure timely feature delivery • Collaborate with systems engineers to deliver safe, well-tested products • Write modern C++ and Python software using unit testing, simulation, and log simulation • Collaborate with Autonomy teams including Constraint Generation, Trajectory Selection, World Fusion, Prediction, Perception, Localization, and Calibration • Participate in design and iteration exercises and align stakeholders through presentations and communication
• BS in Computer Science, Electrical Engineering, Mechanical Engineering or closely related field; MS or PhD is a plus • 5+ years of software engineering experience • Experience building motion planning and/or control systems for real world applications • Knowledge and experience with optimal control or dynamic optimization, especially model predictive control or real-time trajectory generation • Knowledge and experience with vehicle dynamics, system identification and real-time control algorithms • Fluent in modern C++ • Experience with Python • Ability to satisfy applicable U.S. national security, residence, U.S. person status, citizenship status, and export-control requirements, where applicable
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