Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We’re searching for a Senior Systems Engineer to join Aurora’s Software Systems, Safety, and Test Engineering team. Systems, Safety, and Test Engineering is responsible for the engineering work to verify and validate Aurora’s self-driving technology - an unsolved problem for the industry and one of the most difficult challenges in the history of systems engineering. The System Test team is responsible for supporting system-level autonomy development, verification, and validation by delivering decision-quality information via test and evaluation of the Aurora Driver.

In this role, you will

• Work alongside leadership in developing strategies for testing the Aurora Driver
• Leverage diverse testing methods including simulation, Hardware-In-Loop (HIL), track, and road testing in support of autonomy development and system verification and validation
• Plan and execute tests, analyze results, and identify defects or anomalies in system behavior
• Work closely with development teams to investigate root causes and drive resolution of issues
• Provide frequent, simple, and clear written and verbal communication of complex ideas to external teams, peers, and stakeholders
• Design, develop, execute, and train others in processes that embody test engineering best practice

Required Qualifications

• BS degree in Systems Engineering, Computer Science, Information Systems, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or another relevant engineering field
• 8+ years of highly relevant industry experience
• Proven experience in test and evaluation of complex systems
• Experience with test methods, tools, and frameworks
• Ability to synthesize data into meaningful information to support decision making
• Excellent problem-solving skills and attention to detail

 Desirable Qualifications 

• Experience in testing high-risk and safety critical products
• Application of engineering and/or operational risk assessment methodologies
• Proficiency in scripting languages (e.g. Python, bash) with an emphasis around data management for test reports
• Previous experience with autonomous systems (particularly automotive-based)
• Proficiency in JAMA for requirements management and testing
• Knowledge of automotive safety standards (e.g. ASPICE, ISO 26262, SOTIF) and familiarity with regulatory requirements or evaluation standards for autonomous vehicles (e.g. UL4600, Euro NCAP)
• Prior experience with sophisticated, mission-critical hardware and/or software within a safety critical industry (e.g. aerospace, defense, medical, transportation)
• Familiarity with software development methodologies, version control systems (e.g. Git and continuous integration (CI) pipelines

The base salary range for this position is  $135,000 - $216,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-td-1

 #Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior TLM, Test Triage & Analysis.

In this role, you will

• Manage, mentor, and scale a team of triage analysts focused on root cause analysis, balancing people management responsibilities with individual contributor work
• Lead and define the "how" for critical team processes by driving cross-functional initiatives and establishing best practices as a program owner
• Develop, implement, and refine internal processes, incident response playbooks, and workflow improvements to ensure scalability
• Drive the strategy for AI-augmented triage, implementing automated root cause synthesis and intelligent anomaly detection to transform reactive manual analysis into a scalable, proactive response framework
• Act as a critical communication layer through collaboration with software engineering, product and program management, and operations to ensure efforts align with overarching company objectives
• Conduct regular training sessions to deepen the team's system knowledge, automation skills, and strengthen cross-functional relationships
• Monitor systems to identify trends, regressions, and progressions, ensuring findings are shared and escalated appropriately
• Partner with Data Analytics to track and continuously improve key performance indicators (KPIs) and system performance metrics
  

Required Qualifications

• Management and Leadership: 2+ years of management experience with a proven ability to lead, mentor, and empower a team of technical analysts or similar roles. Demonstrated commitment to learning and investing in the growth of others.
• Technical Depth and Problem Solving: Superb analytical and problem-solving skills with the ability to deeply understand and analyze system-level failures in complex autonomous or robotics systems. Must be able to differentiate sub-system level failures, perform root cause analysis, and troubleshoot issues.
• Data Acumen and Metrics Management: Demonstrated ability to drive data-driven decisions, coupled with sensitivity to tracking and improving team metrics (OKRs/SLAs). Must be proficient in utilizing Business Intelligence (BI) tools and dashboards as a business user to interpret trends and extract actionable insights.
• Process and Program Ownership: Experience designing, executing, and optimizing major programs or features across a team or function. Ability to proactively identify systemic problems, define new processes, and drive projects to address them, with a focus on scaling operations (e.g., tooling, automation, workflow improvements). Demonstrated success in defining and implementing internal best practices for technical analysis and reporting across interdisciplinary teams.
• Stakeholder and Cross-Functional Collaboration: Strong interpersonal and communication skills to act as a team representative in cross-functional capability, module, and product meetings. Ability to bridge the gap between technical, operations, and product groups, and provide clear, actionable insights to stakeholders.
• Adaptability and Drive: Comfortable navigating a fast-paced, fluid working environment and demonstrating significant initiative to resolve complex assignments and drive performance improvement.

Desirable Qualifications

• BS or MS in a STEM-related field (Computer Science, Engineering, Operations Research, etc.).
• Experience leading programs/projects in test evaluation, root cause analysis, triage, or quality assurance/control domains, preferably within the autonomous vehicle or robotics industries.
• Data Proficiency: Strong knowledge and experience using relational databases (e.g., SQL, PostgreSQL) and common data analysis tools (e.g., Python, R) to track throughput and quality metrics, and inform program performance.
• Proficiency using AI agents and co-pilots as well as coding & development assistants with a passion for building dashboards, tooling, and automation.

The base salary range for this position is $115,000-$167,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-KW1

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Software Engineer to partner with our Planner Architecture team on this exciting journey. The Planner Architecture Team owns the software framework and systems integration that houses Aurora's core motion planning algorithms on the vehicle. The team defines and drives the world representation, data structures, and APIs for the Motion Planner, ensuring software quality, robustness, and real-time performance through continuous latency burn-down and architectural optimization. The team also develops the specialized tooling and infrastructure required to identify suboptimal on-road driving behaviors, enabling rapid diagnosis and data collection to improve the Aurora Driver.

• Collaborate within the Autonomy Integration group and with stakeholders across various autonomy subsystems to drive cross-functional design and implementation.
• Develop software that directly influences the on-road behavior of autonomous vehicles, including architecting the framework and interfaces that core Motion Planning algorithms integrate into.
• Build onboard infrastructure for detecting and capturing interesting scenarios and anomalous behaviors to accelerate the improvement of the autonomy stack.
• Enhance Planner robustness and maintainability by reducing faults and improving the flexibility, composability, and testability of the system.
• Architect and optimize code paths to minimize latency in safety-critical components, ensuring the Planner meets real-time constraints.
• Improve the Planner’s world representation and data encoding to support both learned and engineered planning approaches.

• Expertise in Modern C++, specifically for latency-sensitive and safety-critical applications.
• 2+ years of applied industry experience in software engineering, with a focus on robotics or distributed/asynchronous systems.
• Ability to thrive in a highly cross-functional environment, with the technical versatility to contribute across diverse domains ranging from software architecture and algorithms to data analysis and system validation.
• Solid understanding of software engineering best practices, including architecture design, code maintainability, test-driven development, and requirements verification.
• Demonstrated ability to execute independently: estimating work accurately, delivering on schedule, and communicating blockers effectively.
• Proficiency in Python for scripting, data analysis, and automation.

• An advanced degree in Robotics, Computer Science, or related fields, or equivalent professional experience in autonomous vehicles or robotics domains.
• Familiarity with Motion Planning algorithms or control systems within automotive, aerospace, robotics, or similar domains.
• Experience working in a regulated, safety-critical environment utilizing systems engineering or requirements-driven development methodologies.

The base salary range for this position is $126K - $181.5K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer to join our Behavior Planning Team!

In this role, you will

• Develop real-time algorithms for selecting safe and comfortable trajectories for a self-driving vehicle
• Design and implement production-grade software for the Aurora Driver
• Analyze large-scale real-world data to train and evaluate machine learning models and improve data pipelines supporting algorithm development.
• Design metric suites and testing workflows for rapid iteration on algorithms

 Required Qualifications

• BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field
• 4+ years of applied industry experience programming and designing software in C++, especially in low latency or real-time environments
• Experience in designing, building, and productionizing motion planning algorithms (cost function design, optimization and sampling-based techniques) or state estimation algorithms

Desirable Qualifications

• Expertise with GPU or ML toolkits such as CUDA, PyTorch, TensorFlow, and/or  TensorRT
• Experience delivering solutions in robotics applications to production.

The base salary range for this position is $126,000 - $181,500 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer II, Test Drive.

Role/Team overview:

Test Drive team as a Software Engineer and play a pivotal role in the development and validation of autonomous driving technology. Our team is at the forefront of building the critical tools, robust data pipelines, and scalable infrastructure. This role will be measured by how productive our entire organization is. You straddle the line between front-end and back-end development with advanced knowledge in multiple frameworks and languages.

In this role, you will be instrumental in designing and implementing a robust, integrated, and user-friendly platform that serves as the backbone of Aurora’s offline testing workflows. This challenging and rewarding work is absolutely essential for generating the high-quality, diverse data needed to thoroughly validate and continuously optimize the Aurora Driver's planning behavior. Your contributions will directly impact our ability to scale the Aurora Driver safely and efficiently, bringing the future of autonomous transportation closer to reality. 

We are looking for passionate and skilled software engineers who are eager to tackle complex problems and contribute to a mission-critical component of Aurora's success. Success in this role requires a value for design, a commitment to fast learning, and strong teamwork. You will be expected to quickly adapt to new technologies, understand the full web stack, and take ownership of shipping impactful results.

In this role, you will

• Design, develop a platform for validating off-board autonomy software.
• Develop tools for increasing the development speed of building and evaluating autonomy software.
• Build highly scalable, robust, and fault-tolerant services that support our unique rate-of-growth requirements
• Develop tools for introspection, visualization, and performance analysis of autonomy systems.
• Improve the performance of autonomy systems through architectural and algorithmic optimizations
• Collaborate with stakeholders including Autonomy Engineers, Test Engineers, Product, Cloud Platform and Safety to ensure timely delivery of validation data set.

Required Qualifications

• Experience with cloud automation, data and test automation
• Experience with modern programming languages such as Python, Golang, or Typescript.
• Experience with cloud offerings such as AWS or GCP.
• Experience with cloud storages such as S3, Postgres and Redis.

Desirable Experience

• Experience in Distributed Systems and Concurrency.
• Experience in Scaling Data Pipelines through Observability and Traceability.
• Experience in Self Driving / Autonomy Driving.

The base salary range for this position is $126,000-$181,500 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. 

 #LI-KW1

#Associate 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a ML Engineering TL to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making.

In this role, you will

• Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety.
• Build our next-generation simulation engine: Architect cutting-edge offboard foundation models that power our simulation engine, creating realistic "world models" to test the Aurora Driver against an infinite variety of edge cases.
• Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss.
• Bridge research and production: Reach new frontiers of autonomous driving technology by pushing forward the state-of-the-art, but also deploy your models on real production vehicles that drive on public roads and must meet the highest standards of safety. 
• Mentor and lead: Serve as a technical lead, guiding junior engineers and shaping the long-term roadmap for ML-based planning at Aurora, including the onboard and off-board ecosystem that is needed to support it.

Required Qualifications

• MS or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience.
• 8 + years of experience developing state-of-the-art ML models, either in a research or production setting.
• Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents.
• Experience training large models on massive datasets using distributed computing.
• Fluency in Python, with a focus on writing high-performance, maintainable code.
• Deep experience with PyTorch (preferred) or another modern ML framework, and a mastery of modern ML architectures including Transformers and Diffusion Models.

Desirable Qualifications

• A track record of publications in top-tier ML conferences (NeurIPS, ICML, CoRL, CVPR, AAAI).
• Experience deploying complex ML systems in production environments.
• Experience in developing generative models or neural simulators for synthetic data generation.
• Experience leading small or large teams to execute highly technical projects.

The base salary range for this position is $171K - $247K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Control Systems Software Engineer to join Aurora’s Autonomy Controls Software Team. The team is responsible for designing, implementing, integrating, and verifying the motion control system of the Aurora Driver with all vehicle platforms.

In this role, you will

• Develop motion control algorithms for a safety-critical system
• Analyze control system performance in both offline and on-road execution environments
• Verify robustness of system to disturbances, failure modes, and environmental conditions

Required Qualifications

• Experience building production-quality C++ code
• 8+ years of experience working on control systems for vehicle platforms in automotive, aerospace, robotics, or related fields.
• Experience in control system design with a solid foundation in control theory
• Experience analyzing/simulating nonlinear vehicle dynamics
• Knowledge of state estimation and signal processing techniques

Desirable Qualifications

• Familiarity with design of fail-safe/fail-operational control systems
• Experience in verifying design of safety-critical and/or autonomous systems
• Masters or PhD in related field

The base salary range for this position is $146K - $211.5K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Control Systems Software Engineer to join Aurora’s Autonomy Controls Software Team. The team is responsible for designing, implementing, integrating, and verifying the motion control system of the Aurora Driver with all vehicle platforms.

In this role, you will

• Develop motion control algorithms for a safety-critical system
• Analyze control system performance in both offline and on-road execution environments
• Verify robustness of system to disturbances, failure modes, and environmental conditions

Required Qualifications

• Experience building production-quality C++ code
• 8+ years of experience working on control systems for vehicle platforms in automotive, aerospace, robotics, or related fields.
• Experience in control system design with a solid foundation in control theory
• Experience analyzing/simulating nonlinear vehicle dynamics
• Knowledge of state estimation and signal processing techniques

Desirable Qualifications

• Familiarity with design of fail-safe/fail-operational control systems
• Experience in verifying design of safety-critical and/or autonomous systems
• Masters or PhD in related field

The base salary range for this position is $146K - $211.5K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We’re searching for a Software Engineer II to join the Control Simulation team and help transform how we validate and improve the safety and performance of the Aurora Driver.

In this role, you will operate at the intersection of Machine Learning, Software Engineering, Data Science, and Vehicle Dynamics. You will contribute to the development of our next-generation data driven vehicle simulator, build data pipelines that source critical scenarios from our fleet and generate simulations from logs, and analyze data to prove the safety of our motion control software.

This is a high-impact role for an engineer who enjoys a mix of model development, infrastructure building, and data analysis.

In This Role You Will:

• Develop Vehicle Models: Help design and implement our next-generation differentiable vehicle dynamics simulator for controls V&V.
• Build Simulation Pipelines: Design and maintain the software pipelines required to generate "Sim-from-Log" scenarios. You will ensure that high-value on-road events are systematically converted into reproducible simulation tests.
• Implement Control Scenario Taxonomies & Curate Data: Build the data structures and algorithms to categorize complex control scenarios (e.g., maneuvers, environments) and use this framework to source balanced datasets from on-road logs, ensuring comprehensive ODD coverage for model training.

Required Qualifications:

• BS or MS in Computer Science, Robotics, Data Science, or a related engineering field.
• 2+ years of software engineering experience with a focus on data-intensive applications or machine learning.
• Strong proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn).
• Hands-on experience with PyTorch or similar machine learning frameworks.
• Experience working with large datasets, SQL, and data processing pipelines.
• Strong analytical skills with the ability to translate complex data into actionable engineering insights.
• Background or interest in Control Theory or Vehicle Dynamics (understanding of kinematics, kinetics, and actuation).

Desirable Qualifications:

• Experience with machine learning or system identification for physics based-models.
• Familiarity with V&V methodologies, simulation frameworks, or log analysis tools.
• Experience building data visualization tools or dashboards to track software quality and coverage.
• Proficiency in C++ (necessary for integrating with on-vehicle or production codebases).

The base salary range for this position is $126,000-$181,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-KW1

#Associate

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer to support and scale efforts for our Behavior Planning Team.

In this role, you will

• Develop real-time algorithms for selecting safe and comfortable trajectories for a self-driving vehicle
• Integrate motion planning with machine learning to create verifiable AI systems for autonomous driving
• Design and implement production-grade software for the Aurora Driver
• Design metric suites and testing workflows for rapid iteration on algorithms

Required Qualifications

• BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field
• 4+ years of strong programming and software design skills in Python and/or C++, especially in low latency or real-time environments
• Experience in designing, building, and productionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques)

Desirable Qualifications

• Expertise with GPU or ML toolkits such as PyTorch, CUDA, TensorFlow, JAX, and/or TensorRT
• Expertise in machine learning for robotic/agentic applications (reinforcement learning or imitation learning)

The base salary range for this position is $126,000 - $201,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer for the Autonomy Integration Team (Functional Architecture)!

In this role, you will

• Work within our Autonomy Integration team to develop infrastructure and integrate software with a modern C++ autonomy stack.
• Interact with autonomy planning and control software, remote assist software, and vehicle platform commands and monitoring.
• Develop fault monitoring of autonomy subsystems. 
• Develop software that will directly influence on-road behavior of autonomous vehicles including mode of operation, fault management, and health monitoring.
• Work with software/hardware interfaces including embedded system simulation, hardware-in-the-loop, and vehicle system level testing.
• Build tools to automate testing and analysis of the motion planning subsystem to assist in verification to safety-critical coverage standards.
• Development in Linux-based environments or embedded platform.

Required Qualifications

• 3+ years of applied industry experience in software development using modern robotics frameworks
• Proficient in C++ and C code, including experience with distributed or embedded applications
• Knowledge of software architecture design best practices
• Familiarity with modern communication technologies and networking protocols (CAN, TCP and UDP)
• Working knowledge of software analysis, linting, and testing tools

Desirable Qualifications

• Experience in a regulated, safety critical, or quality managed environment
• Experience with autonomous vehicles or related robotics fields
• Familiarity with Motion Planning algorithms or control systems of automotive, aerospace, robotics, or similar systems

The base salary range for this position is $126K - $181.5K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer II.

The Behavioral Simulation team is responsible for building a simulation engine that simulates the systems downstream of the perception system. The team work on realistic actor behaviors and other infrastructure tooling for generating motion planning sims..

In This Role You Will:

• Develop software in standard C++17 and Python, using modern best practices. This is a hands-on software development role.  
• Contributing to engineering best practices on a large and complex code base.
• Have an opportunity to tackle end-to-end simulation and autonomy behavior evaluation challenges across various areas of the autonomy system, including motion planning, mapping, localization.
• Design and develop critical simulation and offline testing engines and tools.
• Create and extend software for world entities, adaptive behavior, pathfinding, road networks, computational mathematics, spatial queries, collision detection, vehicle control, vehicle dynamics, etc. 

Required Qualifications:

• Good development skills in C++, including modern C++ (11, 14, 17, 20)
• Understanding of common software performance issues and design tradeoffs
• BS or higher degree in robotics, computer science, software development, mathematics, or similar technical field of study, or equivalent practical experience

Desirable Qualifications:

• Industry experience designing and programming C++ software
• Knowledge of linear algebra, computational geometry, or numerical methods
• Mindset for ownership, growth
• Customer orientation
• Experience with rigid body simulation
• Experience with Lie groups (modern geometry)

The base salary range for this position is $139,000-$223,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-KW1

#Entry-Level

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer II, Visualization.

Who We Are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

On the Visualization Team, we build high performance 3D web visualization platforms to better understand the ways that Aurora's self-driving vehicles see the world. We’ve got lots of exciting new challenges facing our team as Aurora seeks to expand the capabilities of our fleet, and we’re always diving deeper into our systems to boost performance and improve usability.

In this role, you will

• Design and ship major features to Aurora’s web applications for visualizing and labelling self-driving vehicle data and analyzing model behavior.
• Collaborate cross functionally with product managers and designers as well as Aurora’s autonomy engineering teams.
• Write high-quality code in a fast-paced environment using Typescript and React.
• Directly contribute towards Aurora’s mission to deliver self-driving technology.

Required Qualifications

• 5+ years of industry experience building software in a production environment.
• Deep and demonstrated understanding of computer science fundamentals.
• Experience working with Javascript or TypeScript to build web applications.
• Empathy for users and a drive to build clean and elegant UI/UX.

Desirable Qualifications

• Experience working with React, Redux, or MobX and modern Javascript build tools, such as Webpack.
• Experience working with back end development and system design, using Python or Go.
• Experience building web-based 3D or geospatial applications using visualization libraries like three.js, d3.js, or mapbox.gl.
• Experience working with C++ and/or ROS.

The base salary range for this position is $139,000-$201,500 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-KW1

#Entry-Level

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a ML Engineering TL to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making.

In this role, you will

• Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety.
• Build our next-generation simulation engine: Architect cutting-edge offboard foundation models that power our simulation engine, creating realistic "world models" to test the Aurora Driver against an infinite variety of edge cases.
• Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss.
• Bridge research and production: Reach new frontiers of autonomous driving technology by pushing forward the state-of-the-art, but also deploy your models on real production vehicles that drive on public roads and must meet the highest standards of safety. 
• Mentor and lead: Serve as a technical lead, guiding junior engineers and shaping the long-term roadmap for ML-based planning at Aurora, including the onboard and off-board ecosystem that is needed to support it.

Required Qualifications

• MS or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience.
• 8 + years of experience developing state-of-the-art ML models, either in a research or production setting.
• Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents.
• Experience training large models on massive datasets using distributed computing.
• Fluency in Python, with a focus on writing high-performance, maintainable code.
• Deep experience with PyTorch (preferred) or another modern ML framework, and a mastery of modern ML architectures including Transformers and Diffusion Models.

Desirable Qualifications

• A track record of publications in top-tier ML conferences (NeurIPS, ICML, CoRL, CVPR, AAAI).
• Experience deploying complex ML systems in production environments.
• Experience in developing generative models or neural simulators for synthetic data generation.
• Experience leading small or large teams to execute highly technical projects.

The base salary range for this position is $171K - $247K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior