Jobs at Aurora

Conduct an impactful lidar hardware engineering internship project, collaborating with mentors and cross-functional teams. Apply sensor technology, programming, optical sensing, photonics, frequency-domain modeling, and experimental verification skills to support Aurora’s self-driving technology and potentially advance projects from concept through field testing.

Define and evolve Aurora’s autonomous-vehicle runtime framework across on-vehicle and cloud execution. Design high-performance, low-latency IPC and RPC, manage configuration and process lifecycles, improve deterministic simulation and log replay, and build fault monitoring and recovery capabilities. The role also involves creating intuitive C++ APIs, supporting field testing, mentoring engineers, setting coding standards, and driving the framework roadmap.

Lead system security engineering for autonomous vehicle platforms, defining security requirements, interfaces, threat models, risk analyses, trade studies, and verification plans. Integrate hardware security, secure boot, cryptography, key management, and secure communications across vehicle compute, sensors, networks, and cloud telemetry. Partner with hardware, embedded software, safety, validation, suppliers, and Tier-1 organizations to align cybersecurity with functional safety and regulatory requirements.

Lead full-cycle recruiting for high-impact Physical AI roles across autonomy, machine learning, perception, simulation, AI infrastructure, controls, and hardware engineering. Advise senior engineering leaders on talent strategy, market intelligence, search design, engagement, and closing. Build relationships with AI, robotics, and academic talent communities; use data and AI-enabled recruiting tools to improve hiring; establish strategy for the Physical AI market; and mentor recruiters and sourcers.

Lead reliability assessments and test campaigns for autonomous vehicle hardware, including compute systems and automotive sensors. Own failure analysis and corrective actions, collaborate with hardware, systems, safety, software, field operations, and manufacturing teams, and integrate reliability findings into design and production processes. Apply automotive reliability standards, manufacturing knowledge, hardware-firmware interaction expertise, and technical data analysis to support robust scaled products.

Own end-to-end executive searches for Director-level and above roles, advising executives on organization design, role scope, market intelligence, compensation, and hiring strategy. Partner with People, Finance, and Talent Acquisition leaders on succession planning and workforce planning. Structure executive offers, lead confidential searches, mentor recruiters and sourcers, and improve recruiting practices through training and shared market insights.

Develop embedded software and vehicle platform integrations for autonomous vehicles using modern C++ and C. Build fault monitoring, health management, vehicle command interfaces, simulation and hardware-in-the-loop testing, and automated verification tools. Work across autonomy, embedded, and vehicle systems to influence safe on-road behavior in Linux-based environments.

Partners with Hardware, Manufacturing, and Supply Chain leaders on financial planning, budgeting, forecasting, reporting, modeling, and strategic decision support. Builds financial discipline, metrics, executive presentations, and recommendations to optimize capital and resources across complex hardware production and manufacturing operations.

Perform functional safety analysis for autonomous vehicle software, identify architectural vulnerabilities, derive safety requirements, conduct design trade studies, and support safety-critical software development. Collaborate with multidisciplinary teams to define functional safety concepts, execute safety processes, and ensure reliable self-driving systems in the presence of faults.

Build performance engineering tools, data pipelines, and processing systems for onboard and simulated autonomous-vehicle software. Collect and analyze large-scale performance data, improve software latency and hardware utilization, diagnose performance issues, and support visualization and analysis workflows. Collaborate with autonomy, sensing, and vehicle platform infrastructure teams on optimization efforts.

Develop and verify safety-critical motion control algorithms for autonomous vehicles. Analyze control-system performance in offline and on-road environments, and assess robustness against disturbances, failure modes, and environmental conditions. The role requires production-quality C++ development and control-systems experience in robotics, automotive, aerospace, or related fields.

Lead hardware reliability efforts for autonomous vehicle systems by assessing designs, developing shock, vibration, and thermal test campaigns, analyzing failures, driving corrective actions, facilitating DFMEA, and creating predictive reliability models. Collaborate with hardware, systems, safety, software, field operations, and manufacturing teams to improve reliability across diverse environments and support mass production of automotive and optomechanical hardware.

Own Aurora’s end-to-end software release strategy, readiness governance, rollout, Go/No-Go decisions, defect escalation, backlog hygiene, and release metrics. Align Engineering, Product, and Commercial Operations roadmaps with operational readiness across software, hardware, and autonomous systems. Establish scalable release processes, manage cross-functional dependencies, and translate technical data into executive recommendations while supporting commercial fleet growth.

Develop and deploy machine learning models for autonomous vehicle behavior planning, including onboard planning, offboard evaluation, simulation, imitation learning, and reinforcement learning. Train large models on massive datasets using distributed computing, advance autonomous driving research, and deploy production-ready systems on public-road vehicles. The role also involves developing foundation models, world models, critic models, and neural simulators while maintaining high standards for safety and performance.

Design and own geometric map-generation algorithms that process large-scale lidar datasets into automated 3D maps for autonomous vehicles. Responsibilities include sensor optimization, pose-graph optimization, multimodal alignment, pipeline scalability, failure-mode analysis, algorithmic debugging, data-quality improvement, and integration with neighboring teams. The role requires strong C++ development, 3D geometry, point-cloud processing, linear algebra, numerical optimization, and probability expertise.

Provides regulatory and legislative legal advice for autonomous vehicle commercialization. Develops federal and state compliance strategies, manages operational authorizations, data and incident reporting, and responds to regulatory inquiries. Partners with government relations, safety, product strategy, business development, and legal teams on novel autonomous vehicle issues, incident response, disputes, and transactions.

Design and own geometric map-generation algorithms processing large-scale lidar data into automated 3D maps. Improve distributed map-building pipeline runtime, scalability, and data quality; diagnose failure modes and deliver measurable algorithmic fixes. Collaborate on data contracts and integrations while applying geometric optimization, spatial transforms, point-cloud processing, and mapping techniques for autonomous vehicles.

Provides analytical and operational support for Investor Relations, including quarterly reporting, shareholder communications, executive briefings, investor events, financial consensus modeling, ownership analysis, peer and market intelligence, and IR database maintenance. Requires financial acumen, strong communication and relationship-building skills, attention to detail, discretion with confidential information, and the ability to manage competing priorities.

Leads Aurora’s Detection and Response and Security Operations Center organizations across vehicle, cloud, and enterprise environments. Owns cybersecurity strategy, detection engineering, threat hunting, incident response, vulnerability management, 24x7 monitoring, staffing, metrics, and executive incident communications. Builds and scales teams, oversees security tooling and architecture, drives remediation, and ensures continuous improvement in SOC maturity and operational effectiveness.

Design and develop security frameworks for Aurora’s autonomous vehicle platform and cloud services. Lead vehicle security implementation, architecture reviews, threat modeling, code reviews, security releases, and integration with partner teams and OEMs. Write production-quality C++ and Golang, mentor engineers, translate requirements into products, and apply cryptographic, infrastructure, network, embedded, and hardware security practices.