Top Tech Jobs & Startup Jobs

Own end-to-end hardware quality for autonomous vehicle data collection platforms transitioning to mass production. Develop validation, inspection, and acceptance testing processes; manage APQP, PPAP, PFMEA, SPC, and MSA across global suppliers; lead failure investigations, containment, rework, and corrective actions; and drive continuous improvement, technology transfer, and compliance with automotive quality standards.

Build and manage a mid-market B2B sales pipeline for Uber for Business. Responsibilities include prospecting, acquiring new customers, value-based selling, negotiating contracts, forecasting, meeting quotas, and coordinating launches with Product, Operations, and Implementation teams. The role requires developing go-to-market plans, identifying decision-makers, prioritizing leads, and driving adoption in a fast-paced, high-growth environment.

Develop autonomy algorithms and foundation models for semantic understanding of real-world driving data. Architect scalable machine learning systems, optimize sensor datasets through processing and auto-labeling, and deploy ML techniques into production. The role requires collaboration across platform, product, security, and engineering teams while solving complex autonomous-driving edge cases and maintaining high technical standards.

Build and operate production machine learning and backend systems for AI data and evaluation products. Own a business vertical end to end, from identifying opportunities and setting direction to delivering revenue-generating products. Partner with customers, product managers, and engineers; drive adoption, customer value, and execution quality. Apply machine learning across multimodal data, LLM evaluation, physical-world data, robotics, audio, video, and related domains.

Supports Uber marketplace operations by analyzing data, solving strategic problems, testing operational improvements, coordinating cross-functional projects, and identifying insights to improve experiences for riders, drivers, and merchants. The intern will manage projects amid ambiguity and shifting priorities while working hybrid for 30 hours weekly.

Provides strategic administrative support to senior leaders by managing complex calendars, domestic and international travel logistics, visas, events, deadlines, budgets, expenses, and confidential operational tasks. The role requires anticipating leadership needs, coordinating stakeholders in a global matrixed environment, and driving accountability amid shifting priorities and ambiguity.

Respond to and investigate security incidents across Uber’s platform, conduct digital forensics and threat hunting, and develop automated response scripts and playbooks. Analyze logs, network traffic, and host data to determine incident scope and root cause. Collaborate with security and engineering teams to mitigate threats, address vulnerabilities, share intelligence, and communicate findings that improve the company’s long-term security posture.

Acquire and onboard local and regional small and medium-sized merchants for Uber Eats through high-volume cold calling, in-person meetings, contract negotiations, and full-cycle sales. Manage a merchant pipeline, meet sales quotas, communicate product value, adapt to market conditions, and collaborate with Operations and Account Management to ensure successful partner onboarding.

Owns enterprise advertising sales strategy and strategic partnerships with major Canadian restaurant brands. Responsibilities include selling Uber Eats advertising and performance marketing solutions, driving merchant growth and demand generation, developing executive relationships, optimizing campaign performance, translating customer feedback into product insights, and coordinating with Delivery Account Management, Operations, Revenue Operations, and Product teams. The role requires data-driven storytelling, strategic account planning, negotiation, and cross-functional leadership.

Lead the technical direction and delivery of machine learning and autonomy algorithms for AV Labs. Design onboard systems, sensor integrations, evaluation datasets, and performance metrics for semantic scene understanding and autonomous driving data. Mentor senior engineers, lead large-scale projects from conception through production, and coordinate integration across Uber engineering teams. The role requires expertise in Python and Linux, with preferred experience in C++, CUDA, ROS, computer vision, robotics, and machine learning.