Aurora Innovation

Machine Learning Engineering TL for Behavior Planning at Aurora Innovation. This role involves defining the architecture of onboard planning models using Imitation Learning and Reinforcement Learning, building a next-generation simulation engine with foundation models, and developing critic models for evaluating driving behavior. The position requires bridging research and production by deploying models on real vehicles and mentoring junior engineers. Requires MS/PhD or equivalent experience, 8+ years in ML, hands-on IL/RL experience, distributed training, Python, and PyTorch/ML frameworks with Transformers/Diffusion Models.

Machine Learning Engineering TL for Behavior Planning at Aurora Innovation. This role involves defining the architecture of onboard planning models using Imitation Learning and Reinforcement Learning, building a next-generation simulation engine with foundation models, and developing critic models for evaluating driving behavior. The position requires bridging research and production by deploying models on real vehicles and mentoring junior engineers. Requires MS/PhD or equivalent experience, 8+ years in ML, hands-on IL/RL experience, distributed training, Python, and PyTorch/ML frameworks with Transformers/Diffusion Models.

Staff Software Engineer for Online Maps at Aurora Innovation, focusing on developing and implementing perception algorithms and deep learning models to improve the Aurora Driver's ability to navigate in real-time world changes. The role involves building infrastructure and tests for production deployment and ensuring map data is ready for operation without a vehicle operator.

Staff Product Program Manager for Aurora's Behavior Planning team, focusing on developing algorithms for safe and comfortable trajectories for autonomous vehicles. This role involves deep partnership with engineering leads, planning and prioritizing development, managing complex projects, and understanding technical implementations at an architectural level.

Staff Product Program Manager for Aurora's Behavior Planning team, focusing on developing algorithms for safe and comfortable trajectories for autonomous vehicles. This role involves deep partnership with engineering leads, planning and prioritizing development, managing complex projects, and understanding technical implementations at an architectural level.

Software Engineer II, Behavior Planning ML Platform at Aurora Innovation. This role focuses on building and optimizing the ML platform for self-driving technology, including offline pipelines for data extraction, model training, and evaluation, as well as onboard infrastructure for model deployment and inference. Requires BS degree, C++/Python skills, and ML framework experience.

System Test Engineer II, Autonomy Behavior role focused on developing and implementing novel performance and behavioral severity assessment methods for the Aurora Driver, ensuring safe and reliable operation. This involves designing, developing, and executing test processes, analyzing results from various environments, identifying suboptimal performance, and collaborating with cross-functional teams to improve system performance and reduce risk.

Software Engineer for the Behavior Planning Team at Aurora Innovation, focusing on developing real-time algorithms for self-driving vehicle trajectories, integrating motion planning with machine learning for verifiable AI systems, and implementing production-grade software. Requires strong programming skills in Python/C++ and experience with motion planning algorithms.

Staff Software Engineer on the Autonomy Data: Continuous Learning team at Aurora, focusing on improving dataset quality and models using foundation models and RLHF techniques. The role involves owning model training and inference pipelines, establishing semi-automated evaluation mechanisms, and expanding foundation model approaches for sourcing events. Requires Python, C++, cloud environments, and knowledge in computer vision, LLMs, or deep learning.

Staff Safety Data Scientist role at Aurora Innovation focused on leading critical safety research for autonomous vehicles. The role involves applying advanced statistical and probabilistic modeling to analyze safety data, inform hardware/software decisions, and develop leading indicators for future performance. Responsibilities include developing quantitative data analytics, authoring technical analyses, designing data collection, and mentoring junior team members. Requires a strong background in risk and hazard assessment, data science techniques, and excellent communication skills.

Staff Software Engineer on the Autonomy Data: Continuous Learning team at Aurora, focusing on improving dataset quality and models using foundation models and RLHF techniques. The role involves owning model training and inference pipelines, establishing semi-automated evaluation mechanisms, and expanding foundation model approaches for sourcing events. Requires Python, C++, cloud environments, and knowledge in computer vision, LLMs, or deep learning.

Software Engineer II, Controls Data & Simulation at Aurora Innovation. This role involves developing data-driven vehicle simulators, building data pipelines for simulation scenarios, and analyzing data to ensure the safety and performance of self-driving vehicles. It operates at the intersection of ML, Software Engineering, Data Science, and Vehicle Dynamics, focusing on model development, infrastructure, and data analysis.

Senior Staff Product Designer focused on the customer experience for Aurora's autonomous freight operations. This role involves designing digital tools for trucking and logistics companies, managing a product designer, and ensuring intuitive user experiences for high-stakes operational systems. The role emphasizes end-to-end customer journey design and integration into existing ecosystems.

Senior Staff Product Designer focused on the customer experience for Aurora's autonomous freight operations. This role involves designing digital tools for trucking and logistics companies, managing one Product Designer, and ensuring the user experience is intuitive and integrated into existing ecosystems. The role requires a strong background in product design, UX research, and managing design teams, with a focus on delivering business impact.

Product Program Manager to define strategy and roadmap for internal applications supporting autonomous vehicle development, focusing on AI/agentic tools to accelerate engineering and operations workflows.

Product Program Manager to define strategy and lifecycle for internal applications supporting Autonomy development, focusing on AI/agentic tools and workflows to accelerate engineering and operations.

Product Program Manager to define strategy and lifecycle for internal applications supporting Autonomy development, focusing on AI/agentic tools and workflows to accelerate engineering and operations.

Senior Technical Lead Manager (TLM) for Test Triage & Analysis at Aurora Innovation, a self-driving technology company. This role involves managing and scaling a team of triage analysts, defining and improving team processes, and driving the strategy for AI-augmented triage. The goal is to transform reactive manual analysis into a scalable, proactive response framework by implementing automated root cause synthesis and intelligent anomaly detection. The role requires strong leadership, technical depth in complex autonomous or robotics systems, data acumen, process ownership, and cross-functional collaboration.

This role is for a Staff Technical Lead Manager (TLM) in IT Systems Engineering at Aurora Innovation. The primary focus is on building and leading an Applications Engineering team responsible for managing critical SaaS applications, integrations, and automations that power engineering and business operations. The role involves architecting a secure SaaS ecosystem, driving the enterprise AI strategy, and championing automation. While the role involves implementing and leveraging AI solutions for productivity and efficiency, it is not directly building AI models or agents but rather managing the systems and applications that support them. The team drives the use of Enterprise AI to create intelligent, end-to-end solutions.

Technical Product/Program Manager to join Aurora’s Product & Program Management team, partnering closely with the Behavior Planning team as well as Software development teams (i.e., Data Engine, Controls, etc.) broadly. The Behavior Planning team is an integral part of Aurora’s Driver team and is responsible for developing the algorithms for selecting safe and comfortable trajectories for the Aurora Driver.

This role focuses on workforce strategy, involving forecasting, allocating, and optimizing headcount. It requires building financial and operational models, creating dashboards, and analyzing large datasets to identify trends in labor productivity and attrition. The role also involves applying probabilistic modeling, Python-based simulation, and AI to optimize resources and simulate trade-offs. While AI tools are used, the core function is data analysis and modeling for workforce strategy, not direct AI/ML model development.

This role focuses on workforce strategy, involving forecasting, allocating, and optimizing headcount. It requires building financial and operational models, creating dashboards, and analyzing data to support operational goals. The role will use probabilistic modeling, Python-based simulation, and AI to optimize resources and simulate trade-offs. It also involves analyzing labor productivity and attrition trends, monitoring KPIs, and automating reporting workflows.

This role is for a Staff Digital & Social Media Marketing Manager at Aurora Innovation, a self-driving technology company. The manager will lead digital marketing strategies, oversee organic and paid channels, manage social media presence, and utilize AI tools to scale marketing efforts. The role requires extensive experience in digital and social media marketing, strong analytical skills, and the ability to manage cross-functional teams.

Software Engineer II, Map Fusion at Aurora Innovation. Develops onboard algorithms for updating map content in response to changing scenes using sensor data, focusing on real-time compute solutions and geometric algorithms. Collaborates cross-functionally and contributes to safety cases for machine learning methods. Requires C++, Python, 3D geometric reasoning, and graph theory. Desirable experience includes Deep Learning, Bayesian Inference, and autonomous vehicle technology.

This role is for a Director of Product & Engineering Finance at Aurora Innovation, a self-driving technology company. The position focuses on financial planning, budgeting, forecasting, and business analytics for software, hardware, supply chain, and manufacturing functions. The ideal candidate will partner with senior leadership, drive strategic initiatives, develop financial models, and optimize capital deployment. While the company works with AI and physical AI, this role is primarily a finance function, with a requirement to drive adoption of AI to enhance FP&A workstreams.

Director of Product & Engineering Finance at Aurora Innovation, a self-driving technology company. This role focuses on financial planning, budgeting, forecasting, and business analytics for software, hardware, supply chain, and manufacturing functions. The position requires partnering with senior leadership, driving strategic initiatives, optimizing capital deployment, and improving financial discipline. Experience with AI adoption to enhance FP&A workstreams is desired.

Staff Technical Product Operations Manager at Aurora Innovation, focused on optimizing Mapping operations and technology for self-driving vehicles. This role involves driving operational alignment, translating inefficiencies into product requirements, leading strategic initiatives, and partnering with engineering on product roadmaps to ensure operational readiness for software development and productionization. Experience with ML or data labeling pipelines is desirable.

This role focuses on building procedural scenarios and tools for a multi-modal simulator used in autonomous vehicle development. While the role mentions learning to use AI tools for efficiency, its core function is simulation and scenario generation, not direct AI/ML model development.

This role focuses on defining and validating the sensing capabilities of autonomous vehicles to ensure super-human performance and safety. It involves requirements definition, impact analysis, safety analyses (HARA, FMEA, STPA), and comprehensive Verification & Validation (V&V) activities. The role collaborates with various teams to elicit requirements, perform data analysis, and support requirement management workflows. While familiarity with AI/ML applications is desirable, the core responsibilities are in systems and safety engineering for autonomous systems, particularly in safety-critical industries.

This role focuses on defining, validating, and ensuring the safety of autonomous vehicle sensing capabilities. It involves requirements management, impact analysis, safety analyses (HARA, FMEA, STPA), and comprehensive Verification & Validation (V&V) activities. The position requires experience in systems engineering, safety engineering within safety-critical industries, and familiarity with autonomous systems technologies.

Software Engineer on the Machine Learning Data Engine: Labels Platform team, responsible for production services supporting high volume data labeling operations and providing data models and service interfacing for autonomy data consumers. Focus on ML Ops solutions to improve data quality and coverage.

Staff Backend Software Engineer to join the Aurora Services Engineering team to build and scale fleet management tools for autonomous vehicles. This role involves designing and building backend services for monitoring and managing the fleet, ensuring high availability and reliability, and enabling commercial operations. The engineer will also collaborate with various teams and contribute to team culture.

Staff Backend Software Engineer to join the Aurora Services Engineering team to build and scale fleet management tools for autonomous vehicles. This role involves designing and building backend services for terminal operations, fleet monitoring, and real-time vehicle communication, leveraging AI tools for efficiency and feature enhancement. Requires strong backend engineering skills, experience with cloud services, and a focus on high availability and reliability.

Staff Backend Software Engineer to join the Aurora Services Engineering team to build and scale fleet management tools for autonomous vehicles. This role involves designing and building backend services for terminal operations, fleet monitoring, and real-time vehicle communication, leveraging AI tools for efficiency and feature enhancement. Requires strong backend engineering skills, experience with cloud services, and a focus on high availability and reliability.

This role focuses on strategic workforce planning, analyzing current capabilities, and forecasting future talent needs based on business strategy. It involves demand and supply forecasting, gap identification (including how AI might change future employee profiles), and partnering with various departments like Finance and Talent Acquisition. The role also includes predictive modeling for business scenarios, developing key workforce metrics, aligning hiring plans with budgets, optimizing resource mix, and identifying critical talent gaps and skill adjacencies, with a specific mention of prioritizing 'emerging' skills like AI proficiency.

This role focuses on strategic workforce planning, analyzing current capabilities, and forecasting future talent needs based on business strategy. It involves demand and supply forecasting, gap identification (including how AI might change future employee profiles), and partnering with various departments like Finance and Talent Acquisition. The role also includes predictive modeling for business scenarios, developing key workforce metrics, aligning hiring plans with budgets, optimizing resource mix, and identifying critical talent gaps and skill adjacencies, with a specific mention of prioritizing 'emerging' skills like AI proficiency.

This role focuses on strategic workforce planning, analyzing current capabilities, and forecasting future talent needs based on business strategy. It involves demand and supply forecasting, gap identification (including how AI might change future employee profiles), and partnering with various departments like Finance and Talent Acquisition. The role also includes predictive modeling for business scenarios, developing key workforce metrics, aligning hiring plans with budgets, optimizing resource mix, and identifying critical talent gaps and skill adjacencies, with a specific mention of prioritizing 'emerging' skills like AI proficiency.

Software Engineer on the Machine Learning Data Engine: Labels Platform team, responsible for production services supporting high volume data labeling operations and providing data models and service interfacing for autonomy data consumers. Focus on ML Ops solutions to improve data quality and coverage.

Software Engineer for Behavior Planning team at Aurora, focusing on developing real-time algorithms for self-driving vehicle trajectories, production-grade software, and analyzing data to train/evaluate ML models and improve data pipelines. Requires C++ experience and motion planning or state estimation algorithm design.

Software Engineer II, Test Drive role at Aurora Innovation focuses on developing and validating autonomous driving technology. The role involves designing and implementing a platform for offline testing workflows, building tools to accelerate development and evaluation of autonomy software, and creating scalable services for data pipelines and infrastructure. The goal is to generate high-quality data for validating and optimizing the Aurora Driver's planning behavior, directly impacting the safe and efficient scaling of autonomous transportation.

This role is for a Staff Technical Lead Manager (TLM) in IT Systems Engineering at Aurora Innovation. The primary responsibility is to build and lead the Applications Engineering team, focusing on architecting a secure SaaS ecosystem, driving enterprise AI strategy, and championing automation. The team manages critical SaaS applications, integrations, and automations that power engineering and business operations, with a focus on using Enterprise AI to create intelligent solutions for efficiency and new capabilities. The role involves strategic planning, technical leadership, and hands-on management of systems engineers and administrators.

This role is for a Staff Technical Lead Manager (TLM) in IT Systems Engineering at Aurora Innovation. The primary responsibility is to build and lead the Applications Engineering team, focusing on architecting a secure SaaS ecosystem, driving enterprise AI strategy, and championing automation. The team manages critical SaaS applications, integrations, and automations that power engineering and business operations, with a focus on using Enterprise AI to create intelligent solutions for efficiency and new capabilities. The role involves strategic planning, technical leadership, and hands-on management of systems engineers and administrators.

Staff Product Designer for Aurora's Operations Experience Product Design Team, focusing on the Command Center overseer experience for monitoring and managing autonomous truck activity. The role involves end-to-end design, identifying pain points, creating prototypes, and collaborating with engineering and product teams to ship solutions. Desirable qualifications include experience in high-stakes environments and with generative AI tools.

Technical Product & Program Manager for Architecture & Fallback Strategy at Aurora Innovation, focusing on defining and executing architectural proposals for future hardware platforms and planning delivery of future fallback systems for autonomous driving technology. Requires experience in autonomous systems, robotics, or embedded systems, with a strong technical aptitude and project management skills.

This role focuses on driving operational excellence within the Global Purchasing and Supply Chain organization by assessing process effectiveness, establishing a data-driven culture through advanced dashboards, and leading cross-functional improvements. The goal is to transition the organization from manual workflows to a high-performance, automated system, ensuring scalability and SOX compliance. The role also involves acting as a business stakeholder for critical system enhancements and integrating emerging technologies, including AI-based tools, to improve business processes and predictive reporting.

This role is for a Supply Chain Process & Analytics Manager at Aurora Innovation. The primary focus is on driving operational excellence within the Global Purchasing and Supply Chain (GPSC) organization by assessing process effectiveness, establishing data-driven dashboards, and leading cross-functional improvements. The role involves transitioning from manual workflows to an automated, high-performance system, owning the supply chain "Playbook", and acting as a key stakeholder for system enhancements. Responsibilities include process documentation, KPI and dashboard ownership, system transformation, cross-functional optimization, and identifying emerging technologies like AI to improve business processes and predictive reporting. The role requires experience in supply chain process optimization, business process mapping, ERP/P2P platforms, SQL/Python, data visualization, and process improvement frameworks. SOX compliance is a key requirement.

Staff Software Engineer, Platform Infrastructure role at Aurora Innovation focused on stabilizing and modernizing the Offline Testing Infrastructure (OTI). This role involves leading a team to improve the velocity and reliability of engineering teams and release cycles by optimizing the testing ecosystem, owning critical OTI components, and establishing architecture and best practices for large-scale compute use cases in a self-driving technology context.

Staff Security Platform Engineer responsible for the operational health, configuration, and continuous improvement of Aurora's enterprise security platform stack, including EDR/XDR, MDM, SIEM, DLP, IAM/IGA, DNS security, Email security, and PKI. This role involves developing and refining detection rules, conducting proactive threat hunting, and serving as the deepest internal expert on security tooling.

Staff Security Platform Engineer responsible for the operational health, configuration, and continuous improvement of enterprise security platforms including EDR/XDR, SIEM, IAM, and DLP. This role involves developing detection rules, conducting threat hunting, and performing incident investigations, requiring deep expertise in security tooling rather than software development.

Staff Security Platform Engineer responsible for the operational health, configuration, and continuous improvement of enterprise security platforms including EDR/XDR, SIEM, IAM, and DLP. This role involves developing detection rules, conducting threat hunting, and performing incident investigations, requiring deep expertise in security tooling rather than software development.