Staff Systems Engineer

Job not on LinkedIn

June 17

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Logo of Stack AV

Stack AV

Transport • Artificial Intelligence

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.

📋 Description

• Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. • We are looking for thorough and detail-oriented systems engineers to help develop safe, reliable, and performant self driving systems for autonomous trucks. • This role will focus on the autonomy system of the autonomous truck, with work scope including perception, pose estimation, decision making, and motion control technologies. • A background or exposure to autonomous vehicle autonomy technologies and components is appreciated. • Experience applying ISO 21448, Safety of the intended functionality (SOTIF) is appreciated but not required.

🎯 Requirements

• Demonstrated experience working across highly cross-functional teams in a fast-paced environment while maintaining a high degree of engineering rigor. • Exposure to, and familiarity with, software engineering across the full lifecycle, including software requirements development, software design, implementation, and unit & integration testing. • Ability to constructively and critically critique software requirements, designs, implementations, analysis, and software test plans and results. • Experience conducting safety analyses such as Hazard Analysis and Risk Assessments (HARAs), Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA). • Experience conducting root cause analysis to determine underlying causes of issues and faults. • Work products are developed in a detail-oriented and quantitative approach. • Clear, concise communication of technical topics. • Working knowledge of safety standards applicable to on-road autonomy such as ISO-26262, ISO 21448 (SOTIF), UL 4600, or equivalent.

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