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As a Senior Systems Engineer in our Autonomous Mobility & Delivery (AM&D) group, you will play a pivotal role in shaping the future of autonomous transportation at Uber. You will be responsible for the safety of the technical frameworks that allow Uber to integrate seamlessly with various autonomous vehicle (AV) partners while developing our own internal autonomous offerings. This role sits at the intersection of cutting-edge robotics, safety-critical systems, and complex platform integration. This role is on Uber's Autonomous Mobility and Delivery Safety team and reports to the Senior Manager, Systems Engineering, Autonomous Mobility & Delivery Autonomous Mobility & Delivery.
Job Responsibility
Define partner-agnostic solutions: Develop and standardize technical safety solutions and frameworks that expedite the go-to-market process for diverse autonomous vehicle tech providers and AV fleet operators on the Uber platform
Define safety requirements for Uber-built autonomous offerings: Lead the elicitation and documentation of high-level and detailed system safety requirements for Uber's proprietary autonomous technology and platform services
Develop V&V strategies: Design comprehensive Verification and Validation (V&V) strategies for both internal Uber solutions and the complex technical interactions between Uber's platform and external AV Partner systems to ensure solutions meet Uber's safety bar
Safety Risk Assessment: Lead technical safety risk assessments to ensure that all AV partner integrations meet Uber's rigorous safety and performance standards
Influence Strategic Decisions: Act as a technical subject matter expert to influence long-term product roadmaps and strategic partnerships, ensuring technical feasibility and safety are at the forefront of business decisions
Apply AI responsibly: Evaluate and integrate AI/ML-driven approaches to enhance safety validation and risk identification, while ensuring appropriate oversight, traceability, and compliance with safety standards
Requirements
Bachelor's degree in Robotics, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Systems Engineering, Computer Science, or a related technical field
7+ years of experience in systems engineering, with a significant focus on complex hardware/software integrations
Proven track record in the Autonomous Vehicle industry, specifically within safety-critical systems
Experience with V&V methodologies (e.g., ISO 26262, SOTIF/ISO 21448)
Nice to have
Advanced degree (Master's or PhD) in a relevant engineering discipline
Experience defining cross-functional system architectures for large-scale distributed systems
Strong ability to communicate complex technical concepts to non-technical stakeholders and executive leadership
Experience leveraging AI/ML tools in engineering workflows or safety analysis