Jobs at Aurora

Develop and test C++ firmware for Aurora’s FMCW lidar on embedded Linux FPGA systems. Build Python tools for manufacturing, calibration, and qualification data; debug software with real sensor hardware; create unit and hardware-in-the-loop tests; and collaborate with firmware, FPGA, optics, and manufacturing engineers to diagnose and resolve sensor issues.

Lead global strategic sourcing and procurement for indirect categories including SaaS, enterprise software, professional services, IT, and contingent workforce. Develop sourcing strategies, negotiate complex agreements, manage supplier relationships and risks, drive cost savings, and partner with Engineering, Finance, Legal, IT, and HR stakeholders. Improve procurement processes, compliance, reporting, and technology infrastructure while supporting Aurora’s growth.

Senior People Business Partner leading strategic HR programs, organizational redesign, workforce planning, change management, and scalable People systems. The role advises senior leaders, diagnoses organizational challenges, uses data to address talent gaps, manages stakeholder alignment, and operates effectively in a rapidly scaling startup. Frequent U.S. travel and full-time office presence are required.

Supports safety and systems engineering for Aurora’s autonomous driving platform. Responsibilities include safety and fault analysis, requirements development, tooling, test coverage and data analysis, scenario discovery, and communicating recommendations to engineering stakeholders. Interns apply structured methods such as FMEA, fault trees, and STPA while evaluating safety-critical system behavior and requirements.

Plans and coordinates manufacturing production, materials, work orders, schedules, and delivery activities. Monitors material availability, production performance, quality, bottlenecks, and operational issues while providing management reports. The role also develops cost-reduction and process-improvement recommendations and coordinates with warehouse and manufacturing teams to support timely product delivery.

Develop and maintain automated wafer- and chip-level photonics test solutions for integrated photonic circuits and LiDAR modules. Interface software with cameras, stages, and optoelectronic equipment; characterize photonic components; build optical test setups; support packaging development; and analyze production data to improve manufacturing performance. Provide technical support across manufacturing locations and customers, including international contract manufacturer bring-up and support.

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 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.

Leads end-to-end investigations of autonomous vehicle fleet and production issues, including root-cause analysis, controlled testing, HIL diagnostics, field triage, and corrective-action deployment. Develops test plans, automated scripts, requirements updates, and system architecture improvements across power, thermal, sensors, HMI, audio, telematics, and related vehicle interfaces. Partners with engineering, production, suppliers, and operations teams to scale sustaining processes and resolve issues. Requires travel to operational locations approximately 30% of the time.

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.

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.