Jobs at Aurora

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.

Lead development of automated test methodologies, hardware, software, and infrastructure for silicon photonics, III-V lasers, and optoelectronic products. Design optical test fixtures, probe cards, PCBs, alignment systems, and measurement automation. Analyze characterization data, conduct Gauge R&R studies, establish calibration and qualification procedures, and provide recommendations to improve device performance, process variation, and hardware yield across R&D and high-volume manufacturing.

Annotate, expand, and maintain HD semantic maps using proprietary tools while meeting quality and productivity goals. Support mapping production operations, issue escalations, construction-zone monitoring, and route launches. Own a functional area, document processes, identify workflow and tooling improvements, and drive optimization or automation. Partner with Engineering and Training teams, troubleshoot technical issues, communicate risks, and mentor teammates.

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.

Develop production-grade perception and machine learning systems for Aurora’s autonomous-driving platform. Responsibilities include dynamic-object tracking, multi-sensor fusion, semantic understanding, model research, large-scale data analysis, training-pipeline development, failure analysis, and real-time deployment. The role collaborates across teams to move solutions from prototype to production and improve performance across varied traffic, weather, and sensor conditions.

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.

Supports the hardware Quality Management System in alignment with ISO 9001. Responsibilities include internal audits, risk assessments, quality training, data and metrics analysis, corrective actions, documentation, audit preparation, and continuous improvement. The role applies Six Sigma, Lean, RCA, FMEA, SPC, 8D, and 5-Why methodologies while collaborating with design, engineering, production, operations, program leads, and auditors.

Own and deliver full-stack software components supporting autonomous vehicle fleet operations. Design APIs, microservices, data pipelines, and operator interfaces; lead technical projects; improve system reliability, performance, testing, and code quality; and collaborate with operations, autonomy, and cloud infrastructure teams. The role also involves architectural decisions, cross-functional advising, technology adoption, and mentoring.

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.