Top Tech Jobs & Startup Jobs

Lead cross-functional Command Center operations projects from definition through implementation, managing scope, milestones, risks, dependencies, resources, and success measures. Identify improvement opportunities using operational metrics, develop scalable processes and standard operating procedures, support technology and workflow rollouts, align Operations, Engineering, Safety, and Product stakeholders, and provide leadership with progress, risk, decision, and outcome visibility.

Leads complex electrical distribution systems and vehicle integration programs across engineering, supply chain, manufacturing, quality, and operations. Responsibilities include maintaining integrated schedules, coordinating first-article harness builds, supporting external fabrication, managing risks and engineering changes, leading change control board submissions, and closing safety documentation. The role also standardizes development processes and requires hybrid work in Pittsburgh with up to 20% travel.

Own end-to-end logistics initiatives from problem definition through implementation and steady-state handoff. Manage NetSuite workflows, financial capture, planning, reporting, and dashboards covering freight, customs, and inventory. Build interim scripts and GitHub-based tools to connect systems, including potential external request and queuing solutions. Diagnose process gaps, recommend scalable improvements, validate workflows, and coordinate logistics, finance, procurement, manufacturing, and operational stakeholders while communicating risks, delays, and cost exposure.

Define vehicle connectivity architecture and build reliable, low-latency vehicle-to-cloud communications for self-driving vehicles. Develop high-performance, thread-safe systems in C++ and Linux, address networking and observability, optimize data throughput, support field testing and fleet operations, mentor engineers, establish coding standards, and guide the connectivity roadmap.

Leads end-to-end cybersecurity architecture for Aurora’s autonomous vehicle platform, including embedded systems, safety-critical ECUs, vehicle hardware, cloud services, and infrastructure. Responsibilities include threat modeling, secure design reviews, cryptographic architecture, supplier security requirements, security roadmaps, governance, and risk mitigation. The role partners with Security, Engineering, Product, suppliers, and Tier 1 partners to integrate defense-in-depth security across the product lifecycle.

Leads the Hardware Systems Applications Engineering team, setting goals, staffing resources, workflows, and execution processes. Oversees cross-functional handoffs across software, product, operations, and hardware engineering teams. Develops metrics to monitor product hardware health and performance, communicates team and fleet results to leadership, and drives data-driven issue resolution. The role is based on-site in the DFW area with travel to engineering, operations, and remote test locations.

Develop embedded software infrastructure integrating autonomous vehicle systems with modern C++ autonomy stacks. Build vehicle fault monitoring, health management, control-subsystem testing tools, and software influencing autonomous vehicle behavior. Work with planning, control, embedded layers, hardware interfaces, simulation, hardware-in-the-loop testing, and safety-critical verification in Linux and embedded environments.

Lead software assurance for autonomous driving systems by developing compliant processes, conducting ASPICE and ISO 26262 audits, managing deficiencies, analyzing root causes, tracking quality metrics, and presenting audit findings and process improvements. Collaborate across Safety, Engineering, Operations, and Product to ensure safety-critical software quality and standards conformance.

Develop real-time behavior-planning algorithms for autonomous vehicles, selecting safe and comfortable trajectories. Integrate motion planning with machine learning, build production-grade Aurora Driver software, and create metrics and testing workflows for algorithm iteration. The role requires strong Python or C++ programming experience in low-latency or real-time environments and experience productionizing motion-planning algorithms. GPU and machine-learning toolkit expertise is preferred.

Own Aurora’s internal SaaS and collaboration platforms architecturally, including roadmap, integrations, identity lifecycle, and platform governance. Build production software and automation in Python or TypeScript/JavaScript to eliminate recurring support work through APIs, workflows, self-service tools, and AI agents. Lead tool evaluations, rollouts, licensing strategy, and enterprise AI adoption while serving as an escalation point and partnering with IT, Security, Operations, and senior leadership.