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 searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $212,000 - $340,000. 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-Staff

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 searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $191,000 - $306,000. 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-Staff

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 searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $212,000 - $340,000. 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-Staff

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 searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $212,000 - $340,000. 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-Staff

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.

This high-leverage leadership position requires a technical operations expert to manage the Vehicle Reliability Engineering (VRE) team. This is not a traditional reactive support role; it is a proactive Operations and Reliability leadership position. You will be the central point of contact ("nerve center") for the systemic health of our fleet. You will lead a team of operations engineers focused on automating diagnostics, driving root-cause analysis, and bridging the communication between field operations, the command center, and core engineering teams to ensure our autonomous fleet is ready for commercial scale.

This role is an onsite position based in Dallas, Texas, working Monday through Friday.

In this role, you will:

• Leadership: Manage, mentor, and scale a team of operations engineers and reliability specialists focused on the systemic health and operational readiness of the Aurora autonomous fleet.
• Proactive Systems and Reliability Engineering: Shift the team’s focus from reactive troubleshooting to proactive incident prevention by driving deep Root Cause Analysis (RCA) and implementing long-term hardware/software fixes.
• Drive Automation: Partner with engineering teams to build and deploy automated diagnostic tools, scripts, and alerting systems that reduce manual intervention and improve vehicle uptime.
• Systems Monitoring & Telemetry: Oversee the "nerve center" of fleet health, utilizing telemetry, Linux command-line tools, and data dashboards to predict and resolve sensor (Lidar/Radar) and compute failures before they impact field operations.
• Stakeholder Communication: Act as the primary translation layer between Operations, Product, and Infrastructure engineering, reporting to senior management and keeping stakeholders aligned on reliability initiatives.
• Process Development: Develop and implement SRE-based support processes, incident response playbooks, and workflow improvements to plan for scalability and new technology deployments.
• Training: Conduct regular training sessions for the support team to deepen their Linux, networking, system troubleshooting, and automation skills.
• Metrics & SLAs: Develop and track key performance indicators (e.g., MTTR, uptime percentages, SLAs/SLOs) required to support a 24/7 commercial operations base.

Required Qualifications:

• 5+ years of experience managing Site Reliability Engineering (SRE), Technical Operations, or Sustaining Engineering teams in a high-growth, high-stakes tech environment.
• Bachelor’s degree or experience in a relevant field (e.g. Information Technology, Computer Science, Engineering).
• 3+ years of direct people management experience (managing teams of 5+ members).
• Proficient in deep technical areas like: Linux environments, IT systems, hardware/software integrations, networking, and sensor suites (Lidar/Radar).
• Proven experience establishing incident response frameworks, automation protocols, and performance metrics.
• Excellent communication skills with the ability to translate complex technical/systems issues for non-technical operations stakeholders.
• Strong bias for action and the ability to make high-pressure decisions regarding vehicle safety and operational status.

Desirable Qualifications:

• Deep technical knowledge of hardware/software integration, including experience troubleshooting sensors (Lidar/Radar) and industrial computers.
• Expert-level Linux skills: 5+ years of experience in Linux administration, command-line troubleshooting, and shell scripting.
• Automation Mindset: Previous experience with Python, Bash, or Go for automating operational tasks and support workflows.
• Experience in the Autonomous Vehicle (AV), robotics, or aerospace industries.
• Knowledge of computer networking (TCP/IP, UDP, VLANs) and data log analysis.
• Troubleshoot and diagnose software and hardware issue escalations involving Linux environments, Lidar, Radar, and on-vehicle compute systems.

The base salary range for this position is $108,000 - $155,000 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-KM

 #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 join our Vehicle Platforms team. This role is a unique opportunity for a systems-minded coder to work at the foundational layer of our autonomous trucks, bridging the gap between high-level autonomy software and physical vehicle hardware. You will be instrumental in ensuring our sensors, compute units, and embedded devices function as a seamless, high-performance unit, making this one of the most hands-on software roles at Aurora.

In this role you will

• Integrate Core Hardware Components: Write and maintain C++ interfaces and drivers that integrate Lidars, Radars, Cameras, and other embedded devices into the Aurora Driver stack.
• Support Platform Bring-up: Participate in the initial software "bring-up" of new vehicle platforms, ensuring the onboard compute and sensors are correctly configured and communicating.
• Optimize Onboard Performance: Profile and optimize code to ensure efficient use of limited CPU, GPU, and memory resources on the vehicle.
• Monitor Hardware Health: Develop and refine software tools that track the real-time health and telemetry of our hardware components to ensure safe fleet operations.
• Validate via HIL Infrastructure: Utilize Hardware-in-the-Loop (HIL) environments to test and verify your code changes against real-world hardware before deployment to the road.

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
• Strong proficiency in C++: Solid understanding of data structures, algorithms, and memory management (academic or project-based).
• Hands-on Systems Experience: At least 1–2 years of relevant experience, which can be demonstrated through multiple internships, significant academic research, or professional work involving hardware-software interaction.
• Linux Fundamentals: Experience working in a Linux environment with an understanding of command-line tools and system basics.
• Exposure to Networking Protocols: Familiarity with the basics of data transport, such as TCP/IP, UDP, or serial communication.

Desirable qualifications

• Robotics or Embedded Projects: Experience with ROS/ROS2, microcontrollers (Arduino/STM32/ESP32), or hobbyist robotics.
• Familiarity with Sensors: Prior exposure to Lidar, Radar, or Camera data processing and hardware interfaces.
• Scripting Skills: Proficiency in Python for automation, data analysis, or building internal support tools.
• Automotive Knowledge: Understanding of CAN bus protocols or Automotive Ethernet basics.
• Safety Mindset: Familiarity with concepts of high-availability or safety-critical software design.

The base salary range for this position is $116,000  - $174,000 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-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 searching for an exceptional Senior Engineering Manager to join the Aurora Services Engineering team and take on a critical leadership role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Senior Engineering Manager for the Dispatching & Partner Integrations team, you will lead a team of 8-10 engineers to own the design, implementation, and operation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will drive both incremental features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will

• Manage, mentor, and grow a high-performing team of 8-10 software engineers through regular 1:1s, performance reviews, and career development planning.
• Design complex systems from the ground up, partnering closely with software, hardware and infrastructure engineering teams.
• Lead the team to architect, design, and build frontends and scalable cloud backend services that power real-time and offline workflows essential for commercial operations, fleet optimization, and autonomy improvement.
• Drive the execution and delivery of robust, well-engineered solutions, ensuring high standards of quality, reliability, and engineering practices across the team.
• Partner with Product Managers, Designers, Autonomy, and Operations stakeholders to define & execute the technical vision and roadmap for the Dispatching & Partner Integrations team.
• Champion the engineering team and its vision to internal & external stakeholders.
• Foster a culture of engineering excellence, collaboration, and end-to-end ownership within the team.

Required Qualifications

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 10+ years of industry experience in software development, including 5+ years of direct experience as an Engineering Manager leading a team of 5+ engineers, with a proven track record of delivering large-scale backend systems.
• Deep expertise in cloud backend development, including scalable web services, distributed systems, and modern API design.
• Experience with external customer facing software including production rollout with real customers.
• Proven experience managing and mentoring a team of engineers, including hiring, performance management, and career path development.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Phenomenal communication skills, with the capacity to influence both technical and non-technical stakeholders at all levels. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• A preference for action. You will use good judgment to balance speed and quality. You will drive the engineering team to deliver products that are built in a responsible and sustainable way. 

Desirable qualifications

• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with safety and mission critical applications.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience in operations research or optimization algorithms.

The base salary range for this position is  $212,000 - $340,000 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-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 Engineering Manager to lead our HIL Platform team. This team sits at the critical nexus of software and physical reality, and we are expanding to accelerate the commercialization of the Aurora Driver on our Class 8 truck platforms. This is a rare opportunity to lead a high-impact team building the world’s most sophisticated "flight simulator" for autonomous vehicles, directly ensuring the safety and reliability of 80,000-pound trucks before they ever hit public roads.

To attract a high-caliber leader who can treat an internal platform like a high-end product, we’ve shifted the focus from specific HIL domain expertise to strategic decision-making, project execution, and product-minded leadership. Here are the revised sections for your job description:

In this role you will

• Operationalize the Platform as a Product: Transform internal hardware and simulation tools into a reliable, "customer-centric" service that enables Autonomy engineers to ship code with confidence and speed.
• Drive Strategic Technical Trade-offs: Evaluate complex architectural proposals—such as build-vs-buy on hardware rigs or cloud vs. local simulation—balancing immediate project needs with long-term platform scalability.
• Master Project Lifecycle & Execution: Manage the end-to-end delivery of large-scale infrastructure projects, from initial requirements gathering with cross-functional stakeholders to laboratory deployment and maintenance.
• Mentor and Scale the Team: Foster a high-performance culture by coaching engineers on technical excellence and career growth, while recruiting top-tier talent to meet the evolving demands of our truck programs.
• Bridge Software and Physical Reality: Act as the primary interface between pure software teams and vehicle hardware teams, ensuring the platform accurately reflects the complexities of an autonomous truck.

Required qualifications

• 10+ years of professional software or systems engineering experience: successfully built and shipped complex technical products or platforms.
• 7+ years of people management experience: a demonstrated ability to lead teams through high-pressure delivery cycles and organizational growth.
• Strategic Decision-Making: Proven ability to analyze technical trade-offs (e.g., performance vs. maintainability) and align engineering roadmaps with overarching business objectives.
• Strong Project Management: Expertise in managing complex, multi-stakeholder projects with a focus on predictable delivery, risk mitigation, and resource allocation.
• Technical Breadth: High proficiency in at least one systems-level language (e.g., C++ or Rust), an automation/scripting language (e.g., Python, Golang) or cloud infrastructure with the ability to lead deep-dive technical reviews across different layers of the stack.

Desirable qualifications

• Product-Minded Infrastructure: Experience managing "platform-as-a-product" teams (e.g., DevOps, Developer Tools, or Simulation) where the primary customers are other engineers.
• HIL or Robotics Exposure: Familiarity with Hardware-in-the-Loop testing, robotics middleware (ROS), or hardware-software integration.
• Safety-Critical Systems: Experience working in regulated industries such as aerospace, automotive, or medical devices where safety and reliability are paramount.
• Scaling Internal Labs: Experience managing physical assets or laboratory infrastructure at scale within a high-growth technology environment.

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-Mid-Senior