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 Map Fusion team to develop algorithms that allow our vehicles to detect and respond to dynamic environmental changes like construction and emergency vehicles in real-time. This is an exciting opportunity to work at the intersection of "classical" geometric algorithms and modern machine learning to solve high-stakes, real-world safety challenges

In this role you will

• Develop onboard algorithms for updating map content in response to changing scenes such as construction zones and people directing traffic.
• Implement real-time compute solutions to update maps from sensor data on-the-fly while maintaining strict performance constraints.
• Collaborate cross-functionally with Motion Planning, Localization, and Fleet Intelligence teams to ensure seamless map integration.
• Contribute to safety cases around modern machine learning methods to ensure rigorous safety standards are met.
• Utilize graph-centric and geometric algorithms to produce the local geometry of lane lines and driveable surfaces used by the motion planning system.

Required qualifications

• Proficiency in C++ with a focus on building functional, production level software. 
• Proficiency in Python for algorithm development and testing.
• Strong 3D geometric reasoning skills to handle complex mapping data.
• Solid understanding of graph theory, including practical applications of algorithms like Dijkstra’s.

Desirable qualifications

• Experience with Deep Learning methods and their application to real-world data.
• Familiarity with Bayesian Inference for probabilistic reasoning.
• Experience in Spline Manipulation for geometric path and surface modeling.
• Background in autonomous vehicle technology or related high-performance computing industries.

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-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. 

The Offline Mapping team is responsible for producing high-definition (HD) maps that the Aurora Driver operates on.  In this role, you will develop software for powering the large-scale pipelines and orchestration that will unlock the ability to build high definition 3D maps quickly and reliably for the Aurora Driver. This software is critical to the mission of Aurora, as it enables a reliable and robust expansion of the Aurora Driver’s operational domain.

This position is situated at the confluence of developing large-scale backend systems for orchestration and workflow management. This role involves being able to construct a robust, high-volume backend system to meticulously track the state of numerous pipelines, steps and tasks involved in map generation. Furthermore, the role encompasses the development of pipeline workflows to efficiently process substantial data volumes originating from the various constituents of the mapping algorithms and processes. We are looking for a Software Engineer to join our Map Orchestration Team.

In this role you will:

• Design, implement, and maintain scalable backend systems that can help track state and orchestrate the various steps in the map building pipelines in a robust and tractable way.
• Develop, scale and maintain the services and infrastructure that powers the map building pipelines.
• Collaborate with engineers on the map generation algorithms, localization and operational teams for ensuring we have a clear interface for operational hand-offs, notifications and escalation mechanisms.
• Develop software in Python and C++, using modern best practices
• Troubleshoot and solve complex issues within large-scale data pipelines and orchestration systems

Required Qualifications:

• BS/MS or PhD in Computer Science, Robotics or a related field
• 5+ years of industry experience building software in a production environment
• Proficiency with developing backend systems (gRPC, SQL databases, MapReduce architecture) using Python or C++.
• Experience with software design, in particular in complex systems with many dependencies
• Ability to collaborate effectively in a cross-functional team environment 

Desirable Qualifications:

• Prior experience with mapping systems
• Prior experience with robotics or autonomous vehicles
• Familiarity with large-scale big data pipelines with Map Reduce and pipeline optimization
• Experience with C++ (Ideally C++17 or newer)

The base salary for range for this position is $146,000 - $211,500 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 Graphics Pipeline Engineer.

In this role, you will

• Lead the technical implementation of cross-functional projects, translating stakeholder requirements directly into robust code and spearheading the engineering effort by example.
• Architect and personally implement foundational Python frameworks, services, and APIs that form the core of our synthetic data ecosystem. This is a hands-on role where you will frequently be writing and deploying code.
• Drive the adoption and standardization of USD as the core data backbone for our pipeline.

Act as the lead developer and subject matter expert on our most complex pipeline challenges, debugging deep technical issues and engineering scalable solutions.

Required Qualifications

• Expert Python development skills
• Proven track record of architecting and building large-scale 3D graphics or procedural content generating pipelines. 
• Deep, practical production experience with Universal Scene Description (USD).
• Solid understanding of computer graphics fundamentals
• A passion for solving challenging, high-impact problems and mentoring other engineers.
• 7+ years experience of building or contributing significantly to large-scale graphics production pipelines.

Desirable Qualifications 

• Experience with C++ development in a production graphics environment.
• Familiarity with modern CI/CD practices and infrastructure for automated testing and deployment.
• Experience with various parts of a VFX pipeline (modeling, texturing, effects, rendering, compositing, etc.)

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

#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. 

The Localization team is responsible for the software that safely and accurately estimates positioning for the vehicles in the Aurora fleet. This involves processing high-rate data from a diverse suite of sensors in order to provide real-time, high-precision measurements of the location and motion of vehicles traveling on highways, surface streets, and endpoint facilities. We are searching for a Senior Software Engineer to join us in solving these technical challenges. 

In this role, you will

• Design, implement, and maintain solutions for estimating the pose of vehicles and other assets, such as trailers
• Rigorously evaluate and test solutions to verify the safety and efficiency of the localization system
• Collaborate with engineers and stakeholders on partner teams to solve problems of high importance to Aurora products

Required Qualifications

• 5+ years of industry experience building software in a production environment
• Proficient in C++ and Python using modern best practices
• Graduate level degree in CS/Robotics/EE
• Deep knowledge of state estimation theory and practice (one or more of sensor fusion, Kalman Filtering, non-linear estimation, SLAM)
• Experience in estimation and modeling with sensor data (lidar, IMU, radar, camera)
• Deep understanding in relevant areas of mathematics, including spatial transforms, linear algebra, probabilistic estimation

Desirable Qualifications

• Prior experience in robotics or autonomous vehicle applications
• Prior experience with ML solutions and/or GPU development

 The base salary range for this position is  $162,000 - $260,000 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  Staff Software Engineer on the Autonomy Data: Continuous Learning team. The ideal candidate will have a passion for diving into our models and datasets. You will leverage state of the art foundation models as well as RLHF techniques to improve models with high quality data and build the datasets that power the Aurora Driver.

In this role, you will

• Improve our dataset quality by establishing semi-automated evaluation mechanisms leveraging state of the art models as well as RLHF techniques
• Expand our foundation model approach for sourcing interesting events to millions of miles
• Own model training and inference pipelines for all core Autonomy models
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery

Required Qualifications

• BS in Computer Science, or a related field
• Excellent Python, Proficient C++ programming and software design skills
• Experience with storage and database management systems (e.g., one of SQL, no-SQL, protobuf, parquet, HDFS)
• Experience working in a cloud environment (e.g., AWS, GCP, Azure, etc)
• Knowledge and experience in at least one of computer vision, LLMs, or deep learning for other applications

Desirable Qualifications

• Excellent C++ programming and software design skills
• Distributed System design patterns (high availability, scaling, load balancing, caching, sharding etc.)
• PyTorch and GPU programming experience

The base salary range for this position is $189,000-$303,000 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

#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  Staff Software Engineer on the Autonomy Data: Continuous Learning team. The ideal candidate will have a passion for diving into our models and datasets. You will leverage state of the art foundation models as well as RLHF techniques to improve models with high quality data and build the datasets that power the Aurora Driver.

In this role, you will

• Improve our dataset quality by establishing semi-automated evaluation mechanisms leveraging state of the art models as well as RLHF techniques
• Expand our foundation model approach for sourcing interesting events to millions of miles
• Own model training and inference pipelines for all core Autonomy models
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery

Required Qualifications

• BS in Computer Science, or a related field
• Excellent Python, Proficient C++ programming and software design skills
• Experience with storage and database management systems (e.g., one of SQL, no-SQL, protobuf, parquet, HDFS)
• Experience working in a cloud environment (e.g., AWS, GCP, Azure, etc)
• Knowledge and experience in at least one of computer vision, LLMs, or deep learning for other applications

Desirable Qualifications

• Excellent C++ programming and software design skills
• Distributed System design patterns (high availability, scaling, load balancing, caching, sharding etc.)
• PyTorch and GPU programming experience

The base salary range for this position is $189,000-$303,000 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

#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 Staff Software Engineer for the calibration team. The calibration team is responsible for ensuring all sensors on all vehicles remain well aligned to support higher-level autonomy functions. Our software ranges from low-level intrinsics models for our in-house FMCW lidar to high-level continuous/online calibration.

In this role, you will

•  Provide technical leadership for the development and ownership of online calibration and state estimation systems to ensure high-level autonomy.  
• Design and implement efficient algorithms to process sensor data in real-time.  
• Architect high-performance software to support continuous, real-time calibration as trucks operate in the field.  
• Collaborate across multidisciplinary teams such as software, hardware, manufacturing, and operations. 
  

Required Qualifications

• 8+ years of professional experience building software for safety critical applications.
• Advanced proficiency in C++, with a focus on high-performance engineering.
• Broad expertise in sensor calibration for various modalities, including cameras, lidars, radars, and IMUs.   
• Deep technical knowledge of state estimation and both offline and online calibration techniques.

Desirable Qualifications 

• Prior experience within robotics or autonomous vehicle domains.
• Experience with Eigen or other linear algebra libraries.
• Experience with Ceres or G2O or other optimization libraries.

The base salary range for this position is  $189,000 - $303,000 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-td1

#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 are looking for a Software Engineer to partner with our Mapping team to deliver stable, fast, scalable solutions for the Aurora Atlas – our mapping storage and versioning system. The Atlas powers many key functions, from map update processes, test creation systems, offboard simulations, visualizations, and onboard perception and decision making. This role is ideal for those who are energized by challenging problems at the intersection of scalable backend systems, data versioning and cross team collaborations.

In this role you will:

• Design, develop, and maintain the scalable backend infrastructure and data processing pipeline for storing and serving map data as we onboard the Aurora Driver to more commercial routes.
• Establish and maintain robust testing and performance optimization practices to ensure the stability and scalability of the Atlas system.
• Partner closely with internal and external customers to influence existing and future designs and features.

Required Qualifications:

• 4+ years experience building server side and data processing systems.
• Expert proficiency in C++ with a commitment to writing clean, testable, and production-ready code.
• Deep understanding of distributed systems principles, with a proven ability to deliver scalable, reliable backend systems.
• Strong understanding of cloud-native technologies (e.g., AWS, GCP, Kubernetes).
• Excellent communication and collaboration skills.
• Proven ability to rapidly learn new technologies and adapt to evolving requirements.

Desirable Qualifications:

• M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience.
• Domain experience with geospatial data, mapping systems, or high-throughput data pipelines.
• Working proficiency in Python and Golang.

The base salary range for this position is $162,000 - $260,000. 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-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 on the Machine Learning Data Engine: Labels Platform team. Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.

In this role, you will

• Apply production best practices to ensure platform reliability
• Feature development for new labeling applications
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
• Apply ML Ops best practices to design processes for improving data coverage and quality

Required Qualifications

• BS / MS / PhD degree in Computer Science or a related field
• For non-CS majors or BS candidates, strong software experience (4+ years in industry)
• 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
• Experience with C++ and Python

Desirable Qualifications

• Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
• Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
• Supplementary programming languages: Golang, Typescript

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 on the Machine Learning Data Engine: Labels Platform team. Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.

In this role, you will

• Apply production best practices to ensure platform reliability
• Feature development for new labeling applications
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
• Apply ML Ops best practices to design processes for improving data coverage and quality

Required Qualifications

• BS / MS / PhD degree in Computer Science or a related field
• For non-CS majors or BS candidates, strong software experience (4+ years in industry)
• 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
• Experience with C++ and Python

Desirable Qualifications

• Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
• Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
• Supplementary programming languages: Golang, Typescript

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 II for the calibration team. The calibration team is responsible for ensuring all sensors on all vehicles remain well aligned to support higher-level autonomy functions. Our software ranges from low-level intrinsics models for our in-house FMCW lidar to high-level continuous/online calibration.

In this role, you will

• Develop efficient algorithms to process sensor data in real-time.
• End to end ownership including design, implementation, testing, deployment and maintenance of online calibration software for the vehicles.  
• Collaborate across multidisciplinary teams such as software, hardware, manufacturing, and operations. 

Required Qualifications

• 4+ years of professional experience building software for safety critical applications.  
• Proficiency in modern C++ (17+), with a focus on high-performance, production quality engineering.

Desirable Qualifications

• Experience in sensor calibration for cameras, lidars, radars, and/or IMUs. 
• Prior experience within robotics or autonomous vehicle domains.
• Experience with Eigen or other linear algebra libraries.
• Experience with Ceres or G2O or other optimization libraries.

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-td1

#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 Mid-Level 3D Technical Director.

As a member of the Synthetic World & Sensor Simulation team, you will help further all three aspects of this mission. Synthetic environments are essential in evaluating rare edge cases in the real world, testing new technologies and methodologies, and exploring new environments for the Aurora Driver to operate in. It is an exciting time in the field with rapid advancements. Expect to move quickly and adapt while maintaining a focus on Aurora’s priority on safety.   

In this role, you will

• Build procedural scenarios using Houdini and use Aurora’s multi-modal simulator (camera, lidar, radar)  to further the development of the Aurora driver. 
• Utilize and improve established workflows and pipelines to reliably deliver quality software and datasets.
• Learn to debug large distributed simulations. 
• Build new tools and assets to improve the capabilities of Aurora’s simulator. 
• Learn where and how to use the latest AI tools to work more efficiently. 

Required Qualifications

• Proficiency in Houdini and an understanding of procedural and automated asset creation methodologies.
• Practical experience with Python and general scripting (introductory knowledge of VEX is acceptable).
• Passionate about learning, growing your technical skills, and willingness to dive in and help solve impactful challenges in autonomous vehicle development.

Desirable Qualifications 

• Familiarity with Universal Scene Description (USD) is a plus.

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

#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 looking for a Software Engineer to partner with our Mapping team to deliver stable, fast, scalable solutions for the Aurora Atlas – our mapping storage and versioning system. The Atlas powers many key functions, from map update processes, test creation systems, offboard simulations, visualizations, and onboard perception and decision making. This role is ideal for those who are energized by challenging problems at the intersection of scalable backend systems, data versioning and cross team collaborations.

In this role you will:

• Design, develop, and maintain the scalable backend infrastructure and data processing pipeline for storing and serving map data as we onboard the Aurora Driver to more commercial routes.
• Establish and maintain robust testing and performance optimization practices to ensure the stability and scalability of the Atlas system.
• Partner closely with internal and external customers to influence existing and future designs and features.

Required Qualifications:

• 4+ years experience building server side and data processing systems.
• Expert proficiency in C++ with a commitment to writing clean, testable, and production-ready code.
• Deep understanding of distributed systems principles, with a proven ability to deliver scalable, reliable backend systems.
• Strong understanding of cloud-native technologies (e.g., AWS, GCP, Kubernetes).
• Excellent communication and collaboration skills.
• Proven ability to rapidly learn new technologies and adapt to evolving requirements.

Desirable Qualifications:

• M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience.
• Domain experience with geospatial data, mapping systems, or high-throughput data pipelines.
• Working proficiency in Python and Golang.

The base salary range for this position is $146,000 - $234,000 . 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-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 are looking for a Software Engineer to partner with our Mapping team to deliver stable, fast, scalable solutions for the Aurora Atlas – our mapping storage and versioning system. The Atlas powers many key functions, from map update processes, test creation systems, offboard simulations, visualizations, and onboard perception and decision making. This role is ideal for those who are energized by challenging problems at the intersection of scalable backend systems, data versioning and cross team collaborations.

In this role you will:

• Design, develop, and maintain the scalable backend infrastructure and data processing pipeline for storing and serving map data as we onboard the Aurora Driver to more commercial routes.
• Establish and maintain robust testing and performance optimization practices to ensure the stability and scalability of the Atlas system.
• Partner closely with internal and external customers to influence existing and future designs and features.

Required Qualifications:

• 4+ years experience building server side and data processing systems.
• Expert proficiency in C++ with a commitment to writing clean, testable, and production-ready code.
• Deep understanding of distributed systems principles, with a proven ability to deliver scalable, reliable backend systems.
• Strong understanding of cloud-native technologies (e.g., AWS, GCP, Kubernetes).
• Excellent communication and collaboration skills.
• Proven ability to rapidly learn new technologies and adapt to evolving requirements.

Desirable Qualifications:

• M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience.
• Domain experience with geospatial data, mapping systems, or high-throughput data pipelines.
• Working proficiency in Python and Golang.

The base salary range for this position is $162,000 - $260,000. 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-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 looking for a Staff Technical Product Operations Manager to be a force multiplier in realizing the full potential of Aurora’s Mapping operations and technology for self-driving. As a Staff Technical Product Operations Manager, you’ll bring a blend of strategic, operational, and product experience to drive alignment across our organization, optimize operational processes, and accelerate product development velocity. You’ll partner with Engineering, Mapping Ops, Systems Safety, and Product Program Management to translate business objectives into concrete, tactical plans for the teams.

In this high-impact role, you’ll bring strong product management instinct and pair them with operational rigor to design systems that allow our Mapping organization to scale. You’ll help build and improve the operating system behind how our Mapping products and processes scale – from HD map expansion, updates, change detection, validation, and release readiness.

In this role, you will

• Drive operational alignment, product readiness, and continuous improvement across Mapping systems and tools
• Translate operational inefficiencies into product and tooling requirements, partner with engineering and analytics teams to drive automation and triage efficiency
• Lead and execute strategic initiatives to scale operations including KPI frameworks, process optimizations, and standardization
• Influence senior stakeholders by turning operational insights into clear, data-driven narratives that inform product and business decisions
• Partner with Engineering to develop product roadmaps and sprint-level objectives to ensure operational readiness to test and productionize new software developments
• Develop detailed projects plans and experiments with clear objective, structure, and analytical rigor
• Demonstrate excellent communication skills to share progress updates and business reports tailored for wide variety of audience

Required Qualifications

• 8+ years of related work experience, particularly in Product Management, Product Operations, or Technical Program Management 
• Strong product intuition, you understand roadmaps, tradeoffs, and technical constraints
• Familiarity with QA workflows, vendor management, and distributed operations
• Proven experience in creating and driving efficient process improvements that can scale
• Data fluency and experience with visualization tools using SQL and Python, turning data into actionable business insights 
• Excellent written and verbal communication skills, fluent in communicating nuanced, and often technical concepts across a variety of cross-functional stakeholders
• Excellent stakeholder management skills, ability to influence without authority
• Embraces challenges and thrives in a fast-paced environment, ability to work through ambiguity

Desirable Qualifications 

• Experience with HD maps, geospatial systems, robotics, autonomy, and simulation environments 
• Experience supporting Machine Learning or data labeling pipelines
• Experience using jira to build structures and frameworks to manage deliverables 

The base salary range for this position is $181-$262K 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-SP1

#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 Staff Machine Learning Engineer - Online Maps to join Aurora’s Maps ML team. The Maps ML team is responsible for providing map data to the Aurora driver in the face of real-time world changes.

In this role, you will

• Lead and Collaborate with other members of the Online Maps autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver
• Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios
•  Develop novel verification and validation technologies and techniques
• Partner with engineers from online maps, simulation, and safety to ensure that online mapping technology is ready for operation with no vehicle operator
• Build infrastructure and tests that support critical go/no go decisions for deploying the Aurora Driver
• Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver

Required Qualifications

• Excellent software engineering skills in Python and/or C++
• Extensive exp in any deep learning framework, such as PyTorch
• Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)

Desirable Qualifications 

• Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)
• Contributions to open source project(s)
• Strong track record in any field related to machine learning, as evidenced by top-tier publications
• Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG

The base salary range for this position is  $189,000 - $303,000 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 looking for a Staff Technical Product Operations Manager to be a force multiplier in realizing the full potential of Aurora’s Mapping operations and technology for self-driving. As a Staff Technical Product Operations Manager, you’ll bring a blend of strategic, operational, and product experience to drive alignment across our organization, optimize operational processes, and accelerate product development velocity. You’ll partner with Engineering, Mapping Ops, Systems Safety, and Product Program Management to translate business objectives into concrete, tactical plans for the teams.

In this high-impact role, you’ll bring strong product management instinct and pair them with operational rigor to design systems that allow our Mapping organization to scale. You’ll help build and improve the operating system behind how our Mapping products and processes scale – from HD map expansion, updates, change detection, validation, and release readiness.

In this role, you will

• Drive operational alignment, product readiness, and continuous improvement across Mapping systems and tools
• Translate operational inefficiencies into product and tooling requirements, partner with engineering and analytics teams to drive automation and triage efficiency
• Lead and execute strategic initiatives to scale operations including KPI frameworks, process optimizations, and standardization
• Influence senior stakeholders by turning operational insights into clear, data-driven narratives that inform product and business decisions
• Partner with Engineering to develop product roadmaps and sprint-level objectives to ensure operational readiness to test and productionize new software developments
• Develop detailed projects plans and experiments with clear objective, structure, and analytical rigor
• Demonstrate excellent communication skills to share progress updates and business reports tailored for wide variety of audience

Required Qualifications

• 8+ years of related work experience, particularly in Product Management, Product Operations, or Technical Program Management 
• Strong product intuition, you understand roadmaps, tradeoffs, and technical constraints
• Familiarity with QA workflows, vendor management, and distributed operations
• Proven experience in creating and driving efficient process improvements that can scale
• Data fluency and experience with visualization tools using SQL and Python, turning data into actionable business insights 
• Excellent written and verbal communication skills, fluent in communicating nuanced, and often technical concepts across a variety of cross-functional stakeholders
• Excellent stakeholder management skills, ability to influence without authority
• Embraces challenges and thrives in a fast-paced environment, ability to work through ambiguity

Desirable Qualifications 

• Experience with HD maps, geospatial systems, robotics, autonomy, and simulation environments 
• Experience supporting Machine Learning or data labeling pipelines
• Experience using jira to build structures and frameworks to manage deliverables 

The base salary range for this position is $163-$236K 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-SP1

#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 System Test Engineer to join Aurora’s Sensing Subsystem Test Team. In support of Aurora’s Safety Case, the Sensing Subsystem Test Team is responsible for supporting subsystem-level autonomy test development, verification, and validation by delivering decision-quality performance information via test and evaluation of the Aurora Driver.

In this role, you will

• Develop and maintain test strategies, plans, and procedures for the Perception subsystem of the Aurora Driver
• Serves as SME for specific sub-system/capability/item in the Perception Subsystem and operates independently with customers (including Autonomy, Systems, Safety Engineering) to understand requirements and proactively define novel approaches to understand and improve performance
• Proactively drive and design testing coverage strategies by defining test dimensions that align with the product milestones.
• Implement, coordinate, and design diverse testing methods including simulation, track, and road testing in support of autonomy development and system verification and validation
• Execute tests, analyze results, and identify defects or anomalies in subsystem behavior
• Work closely with development teams to drive continuous performance assessment, investigate root causes, and drive resolution/risk acceptance of issues, before release
• 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
• Provides guidance and support to junior engineers and analysts
• Establishes new test & evaluation processes at the project level, and/or develops new tooling and methods.

Required Qualifications

• Degree in, or highly relevant experience in Systems Engineering, Computer Science, Information Systems, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or another relevant engineering field
• 6 - 8 years of relevant industry experience
• Proven experience in test and evaluation of complex systems
• Demonstrated understanding of the interdependency of Requirements Decomposition, Test Coverage, and Deficiency Resolution
• 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
• Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.

Desirable Qualifications

• Proficiency in scripting languages (e.g. Python, bash) and query languages (e.g. SQL) with an emphasis around data management for test reports
• Previous experience with autonomous systems (particularly automotive-based)
• Previous experience specifically with Perception testing
• Familiarity with software development methodologies, version control systems (e.g., Git), and continuous integration (CI) pipelines

The base salary range for this position is $115K - $166.5K 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