Top Tech Jobs & Startup Jobs

Drive infrastructure technical programs across software, cloud, autonomy, embedded, hardware, operations, and testing teams. Responsibilities include roadmap alignment, cross-functional project execution, staffing, risk mitigation, process improvement, status reporting, leadership communication, and resolving technical and organizational blockers. The role requires architectural understanding of infrastructure systems and experience with developer platforms, cloud applications, CI/CD, testing infrastructure, or software releases.

Coordinate high-priority, cross-functional strategic initiatives for the Chief of Staff and CEO. Track milestones, dependencies, risks, and roadblocks; manage executive meetings and communications; synthesize technical, financial, and operational information; prepare executive briefings and shareholder materials; support prioritization and calendar management; and improve Office of the CEO processes and reporting.

Design, implement, and validate safety-critical motion-planning and collision-avoidance algorithms for autonomous vehicles. Develop trajectory generation, evasive maneuver, safety override, simulation, testing, and performance-metric systems. Analyze fleet, simulation, closed-course, and public-road data; conduct root-cause investigations; collaborate across autonomy teams; and support periodic in-person vehicle testing.

Develop and maintain Hardware-in-the-Loop infrastructure for autonomous vehicle testing. Automate bench health, software release compatibility, testing workflows, and infrastructure reliability. Investigate failures and operational blockers, mine data for process improvements, support bench maintenance, and collaborate with autonomy, infrastructure, and operations teams. The role involves Python, C++, Linux, CI/CD, databases, vehicle CAN, hardware, electrical systems, and simulation environments.

Design and maintain onboard vehicle network architectures for autonomous vehicles. Develop communication protocols, routing, diagnostics, telemetry, monitoring, QoS, network isolation, and failover tools. Define performance requirements and hardware interfaces while troubleshooting latency, packet loss, and controller issues. Collaborate with hardware, embedded Linux, platform, autonomy, and systems teams on network hardware selection, OTA updates, security, testing, and next-generation vehicle infrastructure.

Design and maintain onboard vehicle network architectures for autonomous vehicles. Responsibilities include defining topology, protocols, hardware interfaces, QoS, segmentation, telemetry, diagnostics, failover, and OTA update strategies. The role develops production networking software and tools, resolves system-level communication issues, evaluates automotive network hardware, and collaborates with hardware, embedded Linux, platform, and autonomy teams on current and next-generation vehicle platforms.

Design and maintain onboard vehicle network architectures for autonomous vehicles. Define network topologies, protocols, hardware interfaces, QoS policies, segmentation, diagnostics, telemetry, and failover strategies. Develop software for monitoring, routing, fault detection, performance analysis, and OTA updates. Diagnose complex communication and hardware issues while collaborating with hardware, embedded Linux, platform, autonomy, and systems teams. Contribute to next-generation networking roadmaps and platform architecture.

Leads the organization responsible for Motional’s onboard software foundation, including embedded firmware, operating systems, runtimes, middleware, drivers, diagnostics, and safety software. Owns the stack roadmap, prioritization, production health, next-generation platform development, quality standards, and cross-functional alignment. Manages engineering managers and technical leaders, oversees hiring and development, and ensures reliable software operation across autonomous vehicle computing platforms.

Leads rigorous evaluation methodologies for autonomous vehicle performance using statistical analysis, machine learning, simulation, and on-road data. Develops metrics, detects drift and anomalies, identifies edge cases, correlates simulation with fleet data, and strengthens launch-readiness and safety decisions. Partners with engineering, safety, and operations teams, communicates findings to leadership, establishes developer self-service tools, and mentors colleagues.

Diagnose complex issues in autonomous vehicle Planning and Controls software using logs and simulation replays. Develop, test, and deploy production fixes, create tooling and automation for log analysis, and collaborate cross-functionally to connect on-road issues with software development. The role requires strong C++ development, experience with large codebases, production releases, CI/CD, and scalable version control.