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. 

Aurora is seeking a highly experienced and strategic Director, Organizational Safety to spearhead the continuous improvement and scaling of our Enterprise Safety Management System (SMS). Reporting directly to the Chief Safety Officer, you will serve as a critical pillar of Aurora’s safety leadership team.

You will be the primary architect of the Aurora Approach to Organizational Safety, ensuring that safety is integrated into the DNA of our corporate culture and business processes. You will maintain and continuously improve Aurora’s strong Safety Culture, and ensure appropriate safety assurance protocols are in place to maintain the health of Aurora Safety Programs. You will also establish and maintain credible and appropriate approaches to managing safety risk to the organization, products and operations, including responsibility for the governance of the highest level risk-based decision-making via management of the Safety Review Board.

In this role, you will 

Strategy & Governance

• Aurora SMS framework: Ensure the Aurora SMS framework remains state of the art and appropriate to manage the unique risks of autonomous technology development and operations, that it is scalable, transparent, and aligned with industry-leading standards and delivers measurable improvements.
• Safety Review Board (SRB): Ensure that the SRB maintains appropriate visibility on enterprise safety risks and is presented with necessary and timely information to make decisions on managing safety risks. Manage the agenda, risk synthesis, and follow-up for Aurora’s highest safety governing body to ensure the Accountable Executive is appropriately informed on safety. Support SRB decision making for Aurora driverless products before they are released on public roads.

Safety Risk Management & Assurance

• Safety Concern Reporting (SCR): Lead the enterprise-wide program for reporting, triaging, and investigating safety concerns, fostering a "just culture" where employees feel empowered to report risks without fear of retribution.
• Safety Risk Management Approach and Integration: Define and oversee the methodologies used for identifying, evaluating, mitigating, and monitoring organizational, product and operations safety risks. 
• Fleet Safety Oversight: Provide strategic direction to the Manager of Fleet Safety, ensuring that DOT/FMCSA compliance, driver fitness, and vehicle inspection programs are appropriate for Aurora product and operations and ensuring execution is conformant to safety policies.

Leadership & Culture

• People Management: Lead and mentor a high-performing team, including the Fleet Safety organization and SMS Team.
• Safety Thought Leadership: Drive the internal and external communications narrative regarding safety performance, safety case/SMS integration and cultural maturity.
• Cross-Functional Collaboration: Partner with Legal, HR, Finance, and Engineering to ensure safety risk mitigations are reflected in corporate policies and insurance frameworks.

Required Qualifications

• 10+ years of experience developing and/or managing a comprehensive Safety Management System (SMS) within a safety-critical transportation industry (e.g., Automated Driving Systems, Aviation, Rail, Marine, or Automotive).
• Proven Leadership: At least 5 years of experience managing diverse safety teams and leading through other managers to derive results through highly effective teams.
• Expert Risk Management: Demonstrated mastery of applied, credible methodologies for Safety Risk Management (SRM) at an enterprise level.
• Bachelor’s Degree in Engineering, Safety Management, or a related technical discipline.
• Technical Acumen: Deep understanding of safety-critical systems and relevant standards and best practices (e.g., FMVSS, ISO, ICAO, AVSC).
• Communication: Exceptional ability to synthesize and derive insights from complex data for C-suite executives, business partners, and regulatory bodies.
• Industry Influence: Experience representing an organization in industry forums or helping shape national/international safety standards.

Desirable Qualifications 

• Advanced Degree: Master’s or Ph.D. in Safety Engineering, Human Factors, or Safety Management
• Professional Certification: Certified Safety Professional (CSP), Certified Director of Safety (CDS), or equivalent.
• AV Experience: Direct experience with the unique risk management challenges of autonomous vehicle technology or complex robotics.

The base range for this position is $176,000 - $228,000.  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-xxx

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Test Specialists support the business by working with Operations, Testing, Autonomy, Mapping, as well as System and Vehicle Integration Engineers to execute on-vehicle tests, refine test and verification plans, identify and resolve issues, and provide test results. They communicate between teams and help with improving vehicle testing outcomes. 

This role will focus on executing on-vehicle tests, reporting out test results, and improving overall testing efficiency by identifying gaps and recommending process refinements. While efficiency is crucial, nothing comes before safety, and the Test Specialists is a key team member to uphold this responsibility.

Essential Duties:

• Review simulation test scenarios to validate predicted autonomous vehicle behavior at a high level.
• Provide field support for road operations
• Support global mapping efforts
• Asset tracking of drives and ingesting data
• Support data operations and collection 
• Be fluent in software applications such as Confluence, Jira & GSuite
• Support smart city infrastructure for internal business needs
• Conduct field operations to support validation
• Execute safe, repeatable test cases for extended periods and document results to accurately verify and analyze system performance and data.
• Provide accurate, actionable, and detailed reports on the system/software state by testing and troubleshooting issues.
• Document technical notes,  reproduce issues, flag real-time autonomous vehicle events, and support triage and resolution processes.
• Contribute to the test execution process and work efficiency improvements to achieve work at scale.
• Work cross-functionally with various teams (Engineering, Operations, Mapping, etc. ) to communicate knowledge of new features or changes and ensure that testing is completed in a timely manner.
• Able to travel domestically
• Additional duties assigned
  
  

Qualifications:

• Enthusiasm for the AV industry as well as safety/mobility
• Experience in the automotive industry or a fleet 
• Basic understanding of Linux and scripting languages
• Exemplary organizational and time management skills
• Skilled in Microsoft/G-Suite applications including PowerPoint/Slides, Excel/Sheets, Word/Doc
• Valid driver's license required
• Successful completion of relevant eLearning content related to vehicle platforms
• Basic understanding of robotics systems, including sensors, actuators, mechanical, and software systems.
• Ability to think logically and remove bias from evaluation of problems - demonstrated problem-solving skills.
• Ability to properly follow specific instructions and learn tasks quickly - detailed-oriented mindset focused on safety.
• Strong communication and interpersonal skills.
• Flexible and creative thinking.
• Ability to work AM/PM hours as well as weekends depending on testing needs
  
  

Preferred Qualifications (not required):

• Associate or BS in Engineering/Physics/Science or relevant field preferred
• Demonstrated experience with working knowledge in a Linux environment
• Data Analysis experience
• Experience with testing of vehicle subsystems or features (esp. L2-L5 systems)
• Experience in using issue tracking software or tools is preferred (esp. Atlassian Confluence, Jira, Bitbucket)
• Experience in technical writing, technical drawings, and documentation of mechatronics systems is preferred
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle Electronic Controllers (ECUs) and Data Loggers. This position serves as the primary technical owner for the development, validation, and production readiness of our ECUs. The incumbent will ensure that components adhere to all functional requirements and quality standards, and will support component delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.
  
  

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology or a related field.
• Demonstrated expertise in the design, development, and integration of complex Electronic Control Units (ECUs).
• Proven experience utilizing widely adopted Microcontrollers (MCUs) and Systems-on-Chips (SoCs) within automotive ECU applications.
• Experience with automotive communication protocols, including CAN, CAN-FD, and Automotive Ethernet (10GBASE-T1).
• Experience with high-bandwidth data acquisition systems, including proficiency in PCIe switching and direct storage technologies.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++, bash) for testing and validation, and layer 2 networking concepts.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash) and DoCAN/DoIP.
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint scenarios that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in an autonomous vehicle or robotics company.
• Prior experience of ECU design for autonomous vehicles.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

The Senior Engineer Team Lead is responsible for the validation of the autonomous vehicle stack with a primary emphasis on the interface between software and physical hardware. This role leads the development and execution of Hardware-in-the-Loop (HIL) testing strategies to ensure that perception, planning, and control algorithms interact safely and reliably with vehicle sensors, actuators, and ECUs.

You will be the technical authority for HIL bench architecture and hardware-software integration, ensuring that the "brain" of the vehicle commands the physical "body" with millisecond precision and fail-safe reliability.

Essential Duties:

• HIL Strategy & Architecture: Lead the design, setup, and maintenance of high-fidelity HIL test benches (e.g., dSPACE, NI, or Speedgoat). Define the hardware-software mapping required to simulate real-world vehicle dynamics.
• Hardware-Software Integration: Own the validation of the Drive-by-Wire (DBW) system, ensuring steering, braking, and acceleration commands meet safety-critical latency and accuracy requirements.
• Fault Injection & Robustness: Design and execute complex hardware fault-injection campaigns (e.g., sensor signal loss, CAN bus flooding, power interrupts) to validate system-level safety monitors.
• Communication Protocol Expert: Direct the testing of automotive communication networks, including CAN, CAN-FD, Automotive Ethernet, and LIN, using tools like Vector CANoe/CANalyzer.
• Multi-Modal Validation: While focusing on hardware, maintain oversight of SIL and closed-course testing to ensure HIL results correlate with virtual and physical track performance.
• Mechatronic Debugging: Lead root-cause analysis for complex electromechanical issues, utilizing oscilloscopes, multimeters, and logic analyzers to debug signal integrity and power distribution.
• Tooling & Automation: Architect Python-based automation frameworks for HIL regression suites, reducing manual bench time and increasing test coverage.
• Safety Compliance: Act as a lead reviewer for ISO 26262 functional safety requirements, specifically focusing on Hardware-Software Interface (HSI) specifications.
  
  

Qualifications:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, or Robotics.
• Experience: 5+ years in Systems/Hardware testing, with at least 3 years focused on HIL simulation within the automotive or aerospace industry.
• Technical Mastery:
• Hardware: Expert knowledge of ECUs, sensors (Lidar/Radar/Camera), and mechatronic actuators.
• Simulators: Proven experience configuring real-time simulation environments (e.g., dSPACE ControlDesk, NI VeriStand, or IPG CarMaker).
• Scripting: Expert proficiency in Python for test automation and Matlab/Simulink for plant model integration.
• Domain Expertise:
• Deep understanding of automotive electrical architectures and power management.
• Experience with sensor calibration and synchronization across hardware interfaces.
• Familiarity with SOTIF (ISO 21448) and how hardware limitations impact autonomous functionality.
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

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

In this role, you will

• Partner deeply with Behavior Planning leads and engineers to plan and prioritize development with greatest product impact.  
• Assess requirements, facilitate selection of the best options, and coordinate the team to successfully evolve tools and operational processes to achieve them.
• Track progress, resolve dependencies, evaluate risks and communicate status to upper management and project stakeholders, and engage and energize the project teams to achieve aggressive goals.
• Manage complex projects at a large scale, spanning many functional teams and cross-functional initiatives. Instill an efficient project management mindset and workflow across the team, and function as a go-to resource for project management mentorship
• Remove obstacles to drive momentum and progress, identify gaps in communication or schedule, manage issue escalations and provide support to teams balancing competing priorities, and drive results proactively.
• Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities and push the team to be effective.

Required Qualifications

• Minimum of 7 years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
• Bachelor’s degree in Engineering, Computer Science, Math, Data Science, Information Systems or a related area, or the equivalent in experience with evidence of exceptional ability preferred. 
• A strong familiarity with machine learning models, robotics or computer vision systems and their architecture.
• Direct, measurable impact through the design, development and launch of groundbreaking products or delivery of significant and novel technology programs.
• High technical aptitude with an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.
• Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.
• Strong written and verbal communication skills with the ability to adjust communication based on audience. 
• Passion for shipping new to market products and the ability to dynamically adapt to new responsibilities needed to do so

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 

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle’s vision sensors. This position serves as the primary technical owner for the development, validation, and production readiness of our vision sensors. The incumbent will ensure that sensors adhere to all functional requirements and quality standards, and will support sensor delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology, Optoelectronics (or a related field).
• Demonstrated knowledge of optical systems, encompassing the construction and design of camera components.
• Experience with machine vision camera design, development and integration.
• Understanding of high-throughput Image Signal Processing (ISP) pipeline design and implementation.
• Experience with automotive communication protocols including CAN, CAN-FD, Ethernet, GMSL, and FPD-Link.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++) for testing, validation, and interaction with camera hardware.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash).
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint sensor impairments that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in automotive vision sensor hardware and software integration or ADAS technologies.
• Prior experience in an autonomous vehicle or robotics company.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

Reporting to the Senior Business Development Manager the Strategic Partner Lead, Customer Success will be responsible for identifying, building, and nurturing strategic partnerships that drive growth and expand opportunities with key commercial partners. 

This is a pivotal time to join Motional. We are transitioning from development to deployment, launching our commercial driverless service in Las Vegas in 2026. In collaboration with a major ride-hail partner, we are setting the stage to scale this technology to dozens of cities across the U.S. and internationally. This role requires a leader with a proven track record in forging successful alliances, negotiating complex agreements, and managing relationships with key stakeholders. You will serve as the "Voice of the Customer," owning the relationship at all levels of the organization, playing a critical role in shaping our commercial strategy and achieving our long-term objectives, ensuring our commercial operations translate into scalable, revenue-generating reality. 

This role will be expected to travel up to 40% of the time depending on the business purpose and partnership deliverables.

What you'll be doing:

• Own the Partner Relationship: Serve as the primary commercial owner for critical accounts, navigating complex stakeholder maps to connect internal leads with their external counterparts. You will drive account health, retention, and efficiency by ensuring the right people are connected at the right time.
• Drive Cross-Functional Alignment: Act as the operational bridge between Commercial and technical execution teams (Product, Ops, TPM). You will translate high-level commercial milestones into clear directives, ensuring workstreams converge on time for successful deployments.
• Lead Strategic Collaborations: Establish the partnership's rhythm of business, including Quarterly Business Reviews (QBRs), Steering Committees, and executive briefings. You will lead internal alignment to ensure high-stakes partner events and demos are executed flawlessly.
• Define Success & Track KPIs: Define what winning looks like for both Motional and our partners. You will track and report on key performance indicators across teams to ensure we are meeting contractual obligations and commercial goals.
• Support Market Expansion: Lead the rollout strategy for new launch markets, coordinating logistics between Operations, Strategy, technical teams and external partners. You will drive the readiness efforts required to move from pilot zones to full commercial scale.
• Create Data-Driven Feedback Loops: Translate partner insights—such as pickup/drop-off friction—into actionable engineering requests. You will close the loop between commercial reality and technical roadmaps to optimize the end-to-end passenger experience
  
  

What we're looking for:

• Bachelor's degree in Business, Engineering, or equivalent field, or commensurate professional experience.
• 7+ years relevant professional experience in a similar role, experience working with autonomous vehicles, ride-hail, robotics or mobility industries.
• Cross-Functional Leadership: You have a proven ability to coordinate complex projects across technical and non-technical teams. You can translate commercial needs into clear directives for Product and Operations.
• Executive Presence: You possess superb communication skills and can command a room. You are experienced in leading executive presentations, QBRs, and high-visibility partner visits with polish and professionalism.
• Strategic & Operational Balance: You can set the long-term vision with a partner while also sweating the details of a short term project. You understand how to align daily execution with multi-year commercial objectives.
• Analytical & Influential: You can use data to build a compelling point of view that influences internal stakeholders. You know how to advocate for the partner’s needs to shape our long-term product strategy.
• Soft skills that earn the confidence of leaders and peers, including empathy, organization, clear communication, influencing without authority, low ego, and the ability to build trust.
  
  

Bonus Points(not required):

• MBA or equivalent advanced business degree.
• Launch Experience: Experience coordinating the commercial side of a product launch in a physical market.
• Commercial Fluency: Experience supporting business development efforts, contract renewals, or opportunities.
  
  

This role is hybrid from our Boston, Pittsburgh, or Las Vegas office. It requires two in-office days each week, ideally Tuesday and Thursday.

Mission Summary:

The Staff Systems Safety Engineer:

• Oversees the development and implementation of engineering safety processes for our autonomous vehicle systems
• Is responsible for reviewing hazards, risk assessments, and ensuring compliance with industry safety standards (ISO 26262, SOTIF, and ASIL).
• Collaborates with cross-functional teams, including software, hardware, and AI engineers, to ensure integration of safety into the design and validation of our AV system
  
  

Essential Duties:

• Ensure and oversee the development and implementation of  system safety processes for autonomous vehicle platforms.
• Ensure hazard analysis and risk assessments (HARA) for AV components and subsystems are conducted.
• Assist in the definition and verification of functional safety requirements in compliance with ISO 26262 and SOTIF (ISO 21448).
• Collaborate with hardware, software, and AI teams to integrate safety measures into perception, decision-making, and control systems.
• Support the development of failure mode and effects analysis (FMEA) and fault tree analysis (FTA) for AV systems.
• Ensure compliance with regulatory and industry safety standards, including SAE J3016, NHTSA, and UNECE WP.29.
• Ensure the development and execution of safety verification and validation plans, including simulation, testing, and real-world driving scenarios.
• Work with certification bodies and regulators to ensure safety case documentation and approval processes.
• Contribute to the development of safety culture within the organization by providing guidance and training
  
  

Qualifications:

Educational Requirements

• Bachelor’s or Master’s degree in Systems Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, or a related field 

Technical / Specialized Knowledge, Skills, Abilities:

• 5+ years industry and 3+ years of experience in safety engineering for automotive, aerospace, or robotics systems.
• Strong knowledge of functional safety standards (ISO 26262, SOTIF, ASIL).
• Knowledge of systems / software engineering standards (INCOSE, ISO15288, ASPICE CMMI)
• Experience with hazard analysis, risk assessment, and safety case development.
• Proficiency in safety analysis tools (e.g., Medini Analyze, Ansys, Fault Tree+, FMEA software).
• Familiarity with autonomous vehicle architectures, including perception, planning, and control systems.
• Experience working with real-time embedded systems and software safety.
• Strong problem-solving, analytical, and communication skills.
• Experience with machine learning safety challenges in AVs.
• Knowledge of cybersecurity principles related to vehicle safety (ISO/SAE 21434).
• Experience in safety assurance for AI-driven systems.
• Previous work with automotive OEMs, Tier 1 suppliers, or AV startups

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the team member is regularly exposed to the office environment, outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate. When traveling, the team member will be exposed to airports, airplanes, hotels and public transportation environments.

This role is based in our Pittsburgh or Las Vegas office and requires in-office days each week.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of  vehicle control and interface subsystems. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of key vehicle modules, including core systems such as Autonomous Emergency Braking (AEB), Vehicle Interface Controllers (VIC), Cabin Monitoring Systems, and Human-Machine Interface (HMI) hardware. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of critical vehicle system hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Collaborate closely with the base vehicle supplier (OEM partner) to ensure seamless mechanical, electrical, and network integration of the vehicle controllers and interface modules into the base vehicle architecture, managing shared Interface Control Documents (ICDs).
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for all assigned vehicle system modules, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of ADAS/Active Safety hardware, low-level vehicle controllers, or interior electronic modules preferred.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of core vehicle control architectures (e.g., AEB and VIC) and automotive network topologies (e.g., CAN-FD, automotive ethernet).
• Technical knowledge of interior electronics and cockpit integration, including HMI ECUs/displays, cabin monitoring sensors, and their associated high-speed video/data protocols (e.g., GMSL, FPD-Link).
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of our autonomous vehicle’s compute and connectivity subsystem. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of our high-performance compute hardware and associated controllers. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of the high-performance compute and connectivity hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for compute and connectivity hardware, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of Domain Controllers, HPCs, or Telematics units.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of compute architectures, high-speed data buses, and wireless connectivity standards.
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.

This role is based in our Pittsburgh office and requires in-office days each week.

Mission Summary:

We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road.

What you'll be doing:

• Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions.
• Drive Analytics: You’ll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance.
• Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
• Advance Simulation Capabilities: You’ll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release.
• Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams.
  
  

What we're looking for:

• Extensive experience building production-grade applications, tools, and pipelines using Python.
• Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key.
• Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles.
• Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets.
• Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world.
  
  

Bonus Points(not required): 

• Experience with C++ in a Linux environment.
• Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
• Background in robotics middleware (ROS, DDS) or autonomous systems.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment.

You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software.

You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications.

What you’ll be doing:

• Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system.
• Help analyze perception system performance to identify areas for improvement and participate in efforts to address them.
• Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Solid understanding of fundamental deep learning concepts and computer vision techniques
• Experience building, training, or evaluating neural networks
• Proficiency in Python and familiarity with libraries like PyTorch or similar
• Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development
• Clear communication skills and willingness to ask questions, share ideas, and work with others

Bonus Points:

• Previous experience with sensor fusion and/or previous exposure to the AV industry
• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Exposure to safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

Mission Summary:

As a seasoned expert in Perception Capabilities, you'll field cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. Your breadth of experience spans critical problem areas like detection, classification, segmentation, and tracking, along with essential supporting functions such as data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You're driven by seeing your work significantly impact the product, taking initiative and owning outcomes.

You're eager to apply these skills to the perception stack of self-driving vehicles. You understand the unique challenges of safety-critical, open-world applications and are committed to ensuring engineering excellence and rigorous evaluation.

You'll devise creative solutions to complex problems, collaborating with interdisciplinary, capability-focused teams across the organization to design, implement, and validate end-to-end solutions.

What you’ll be doing:

• Lead the development and implementation of solutions that span across perception components and directly interface with downstream modules in the autonomy system.
• Analyze the performance of the perception subsystem to proactively identify potential limitations with respect to a set of system-level capabilities. Document potential hazards and lead the cross-team efforts to eliminate or mitigate them.
• Collaborate on innovative solutions to address “long tail” challenges. For example, developing techniques for synthetic data generation, advanced data mining, or leveraging language embeddings in our onboard models.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Strong leadership skills in executing large, complex technical initiatives
• Track record of successful interdisciplinary work and product-focused engineering
• Broad understanding of Deep Learning algorithms, architectures, and applications
• Experience designing, training, and analyzing neural networks for applications relevant to perception
• Fluency in Python, including common libraries for deep learning (PyTorch), scientific computing, and data analysis and visualization
• Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and  testing methods 
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Bonus Points:

• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Experience developing safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
• Lead, manage and grow a team of engineers
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
• Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• Proven leadership skills at executing large, complex technical initiatives
• Extensive experience managing and leading engineers
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Excellent communication and interpersonal skills

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with state of the art generative AI, and/or reinforcement learning, paradigms
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming

Tech Lead Manager, Planning

On our Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. As the Technical Lead Manager, you will direct a team tasked with the design and implementation of motion planning software for autonomous vehicles. This position requires leadership in defining the motion planning and control systems that enable our fleet to operate securely, effectively, and with passenger comfort in intricate settings. As a leader, you will drive the development of cutting-edge motion planning algorithms, collaborate with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentor a talented group of engineers to deliver state-of-the-art solutions. If you are passionate about autonomous driving, thrive on solving challenging real-world problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you.

Role responsibilities:

• Lead and develop a team within the motion planning organization, assuming responsibility for planning algorithm and constraint generation.
• Collaborate with other leaders to provide technical direction, making critical decisions on architectural strategies, strategic resource allocation, operational execution, and technical debt management.
• Deliver a robust and scalable planner, prioritizing safety throughout the design, prototyping, testing, deployment, and production phases.
• Adopt a metrics-driven approach to the development and enhancement of technical components.
• Advance existing planning methodologies to facilitate data-driven strategies.
• Promote diversity and inclusion in both products and personnel.
• Mentor and offer constructive feedback (technical and professional) to team members, cultivating an inclusive and collaborative work environment.
• Demonstrate initiative in generating innovative ideas, formulating a team vision, and considering the holistic robotaxi system.
• Implement and review algorithms and code, applying rigorous engineering methodologies.
• Partner with project managers to develop roadmaps and execute plans according to schedule.

What we're looking for:

• Over two years of experience in the management of a development team, with a demonstrated ability to foster career growth, mentor team members effectively, and enhance productivity.
• Masters or PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field.
• Established history of successfully delivering production-quality motion planner in a leadership capacity.
• Advanced proficiency in search algorithms.
• Experience in developing motion planning solutions with ML
• Expertise in C++ software development, Linux, and Python, with supplementary knowledge of SQL.
• Strong theoretical understanding and practical experience in motion planning under conditions of uncertainty, as well as in interactions with dynamic agents and environments.
• Knowledge of robotics algorithms in localization, perception, prediction, motion planning, and control systems for autonomous vehicles.
• Excellent communication, interpersonal, and management skills.

Skills appreciated

• Experience in Autonomous Vehicles or other robotics industries
• Experience using simulation tools
• Experience with Verification & Validation for safety critical systems

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product.

In This Role, You Will:

• Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information).
• Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums.
• Design and automate data collection and analysis to support ongoing safety programs.
• Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making.
• Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems.
• Model self-driving vehicle behaviors at the system and subsystem levels.
• Develop and maintain reports and expressions of baseline risk coverage and application in operations.
• Design and develop expressions of risk benchmarking from similar industries.
• Create dashboards and reports for communicating risk, ranking, and anomalies.
• Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems.
• Mentor and lead junior team members, fostering their professional growth.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• 7+ years of progressive experience solving large-scale complex problems.
• Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices).
• Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment.
• Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis.
• Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI).
• Adept at querying, analyzing, and visualizing large datasets.
• Excellent communication and presentation skills, with the ability to convey complex information to various audiences.
• Strong leadership skills, with the ability to provide guidance and mentorship.
• Ability to work independently, as part of a cross-functional team, or as a project lead.

Desirable Qualifications

• Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations.
• Familiarity with rapidly scaling operational environments.
• Proficient in working with advanced data transformation tools such as DBT.
• Skilled in building and deploying using Amazon Web Services (AWS) tools.
• Background in the Autonomous Vehicles, Aerospace, or Robotics domains.

The base salary range for this position is $171,000 - $247,000 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.

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 hands-on, execution-focused Senior Materials Analyst to partner closely with our Operations Program Managers in driving material readiness for complex hardware builds in an automotive/technology manufacturing environment. This role is ideal for a supply chain professional who thrives in the details of material planning and data accuracy, while also bringing the analytical horsepower to uncover trends, pinpoint root causes, and recommend process improvements.

You will be the primary analyst and materials owner supporting our OPMs — ensuring that short-term material health is visible, accurate, and acted upon, enabling programs to stay on track. This position demands expertise in ERP/MRP execution, data analysis, and cross-functional collaboration, with an ability to navigate fast-paced and dynamic build schedules.

In this role, you will

• Own short-term material health for assigned programs, ensuring accuracy in ERP and flagging shortages, late POs, or at-risk parts for action by OPMs and Procurement.
• Maintain and continuously improve material readiness dashboards and trackers using dashboarding tools or spreadsheets.
• Partner with OPMs to consolidate and validate data for build readiness reviews, material risk assessments, and leadership updates.
• Execute regular BOM scrub and alignment activities, ensuring ERP data integrity (quantities, lead times, allocations).
• Analyze material availability vs. program demand, highlight gaps, and prepare actionable recovery plans.
• Manage and track engineering change impacts on material requirements, collaborating with OPMs to ensure smooth transitions.
• Drive recurring operational cadences (weekly readiness reviews, inventory checks, and allocation updates).
• Utilize JIRA and Monday to track and follow through on open issues, ensuring closure and accurate status reporting.
• Support scenario planning by running “what-if” analyses on material availability and demand shifts.
• Partner with OPMs on executive and customer-facing reporting, ensuring data is clean, accurate, and presentation-ready.
• Identify data or process gaps and propose solutions to improve planning accuracy and efficiency.

 Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business, or related field.
• 3+ years in materials planning, supply planning, or production control within automotive, aerospace, or complex hardware manufacturing.
• Strong ERP/MRP (Netsuite, SAP, Plex etc) experience with a proven track record of data accuracy and system execution.
• Advanced skills in Excel, Mode, and/or Power BI for data analysis and dashboarding.
• High attention to detail and ability to manage large, complex data sets without losing sight of key priorities.
• Comfortable in an 80% execution / 20% strategy role - thrives on solving daily material availability challenges while contributing to process improvements.
• Strong communication skills for collaborating with cross-functional teams, especially Operations Program Managers, Procurement, and Production Planning.
• Ability to work in a fast-paced, changing environment with competing priorities.
• APICS/ASCM or similar certification is a plus.

 Desirable Qualifications

• Experience in the Automotive, Aerospace, or Robotics industries.
• Proficiency in visualization tools (Tableau, Power BI) and SQL.
• Knowledge of Six Sigma or Lean methodologies as applied to warehouse and repair operations

The base salary range for this position is $72,000 - $104,000 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-JM3

#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. 

The Supply Chain Operations team at Aurora is looking for a Service & Spares Material Planning Analyst to ensure maximum fleet uptime through strategic inventory management and repair operations. This role is the bridge between hardware reliability and field execution. You will be responsible for managing the end-to-end lifecycle of Aurora hardware - from forecasting spare part needs and designing distribution networks to managing the "reverse logistics" of reworks and repairs. Your goal is to balance high hardware availability with optimized inventory costs to keep our fleet moving.

In this role, you will

• Develop and execute demand forecasts for spare parts to ensure high fleet uptime while minimizing excess inventory carrying costs.
• Support the design of the service network to determine optimal stocking locations (forward-stocking locations vs. central hubs) based on fleet density and lead times.
• Manage the flow of "core" returns; track damaged hardware from the field through the repair/refurbishment cycle and back into usable stock.
• Build and maintain dashboards to track Key Performance Indicators (KPIs) such as Part Availability Rate, Mean Time to Repair (MTTR), and Inventory Turns.
• Partner with Field Service Engineering and Reliability teams to adjust stocking levels based on real-world hardware failure rates and engineering change orders.
• Work with procurement to ensure service POs align with fleet expansion plans and historical consumption data.
• Reconcile inventory discrepancies within ERP/MRP systems to ensure "Clear to Service" (CTS) visibility is 100% accurate across all field locations.
• Identify bottlenecks in the return-to-vendor (RTV) process and implement automated workflows for tracking serialized hardware.

 Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business, or a related field.
• 3+ years in supply chain or operations, with a specific focus on service parts, aftermarket support, or reverse logistics.
• Strong ERP/MRP experience (e.g., NetSuite, SAP, Oracle) with a proven track record of managing serialized inventory and repair orders.
• Advanced Excel, Mode, and/or Power BI skills; ability to manage large datasets to identify "bad actor" parts or logistics bottlenecks.
• Thrives in an 80% execution / 20% strategy role—you enjoy solving the daily puzzle of getting a part to a downed vehicle while suggesting ways to automate that process for the future.
• Ability to collaborate with Supply Chain Managers, Field Technicians, and global Procurement teams.
• Ability to work in a fast-paced environment where fleet priorities can shift daily.

 Desirable Qualifications

• Experience in the Automotive, Aerospace, or Robotics industries.
• Proficiency in visualization tools (Tableau, Power BI) and SQL.
• Knowledge of Six Sigma or Lean methodologies as applied to warehouse and repair operations.

The base salary range for this position is $72,000 - $116,000 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-JM3

#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. 

The journey to developing our cutting-edge self-driving truck Driver software requires a massive and continuous computational effort. Every day, Aurora's engineers initiate and manage millions of compute tasks, systematically processing and analyzing petabytes of critical data. This colossal computational workload spans various essential domains, including raw and derived data processing pipelines, large-scale simulations to test and validate the software in countless scenarios, and the intensive machine learning training jobs that are the core of our autonomous system's intelligence.

At the heart of orchestrating this monumental compute infrastructure is the Compute team. This team is dedicated to building and maintaining the foundational technology that solves the fundamental challenges of resource scheduling, task isolation, and distributed state consistency across our massive batch compute fleet. At our scale, traditional off-the-shelf orchestrators break. The Compute team builds the custom engine - BatchAPI - that manages the lifecycle of millions of tasks - built on top of K8s primitives but implements our own custom scheduler.

We deal with the 'unsolved' problems of distributed computing: maximizing hardware utilization while ensuring that a failure in one node doesn't cascade across the entire cluster. This engine is engineered to handle massive scale, ensuring reliability, efficiency, and rapid turnaround for our engineers.

Furthermore, the Compute team empowers engineers across the company to effectively harness this compute power. They develop and maintain the Batch Workflows Python SDK. This framework provides an intuitive, high-level interface that allows engineers to programmatically define, construct, deploy, monitor, and manage their complex computational workloads. The SDK abstracts away the complexities of the underlying infrastructure, enabling engineers to focus purely on the logic and goals of their data processing, simulation, or training tasks, thus accelerating the entire development cycle for the Aurora Driver.

In this role you will

• Design, implement, and maintain core components of the high-performance, large-scale distributed batch compute engine (BatchAPI). Architect and optimize the scheduler, resource allocator, and execution engine of BatchAPI to handle bursty, heterogeneous workloads with minimal overhead.
• Design low-latency APIs and resilient communication protocols that bridge our Python SDK with the Golang-based core engine.
• Develop high-level workflow abstractions, enabling engineers across the company to programmatically define, deploy, and manage complex data processing, simulation, and ML training pipelines. 
• Solve complex problems in distributed locking, throttling, and fair-share scheduling to ensure multi-tenant stability.
• Drive continuous improvements in the performance, scalability, and resilience of the entire compute infrastructure, implementing robust monitoring and alerting systems to maintain operational excellence for critical workflows.
• Collaborate closely with infrastructure and product engineering teams (e.g., Autonomy, Data, Simulation, Machine Learning) to gather requirements, provide expert consultation, and integrate compute workflows with key company systems.

Required qualifications

• 5+ years of professional software engineering experience.
• Deep expertise in Golang (for core systems) and Python (for SDK/API layering).
• Strong understanding of distributed systems fundamentals (e.g., CAP theorem, consensus algorithms, or gossip protocols).
• Experience with performance profiling and tuning (e.g., memory management, I/O bottlenecks, or network latency optimization).
• Specialized knowledge of container orchestration systems like Kubernetes.
• Proven track record of driving continuous performance, scalability, and resilience improvements in production environments managing critical data.
• Familiarity with cloud provider compute and data services (e.g., AWS EKS, S3, RDS).

Desirable qualifications

• Experience working with computational workloads specific to the autonomous vehicle, robotics, or large-scale machine learning domains (e.g., data processing for perception, simulation, or model training).
• Demonstrated ability in creating and refining user-facing tools, including adeptness at incorporating user feedback, managing expectations, and effectively prioritizing development based on user needs.
• Web UI development experience (Typescript, React)

 #LI- #Mid-Senior 

The base salary range for this position is  $146,000 - $234,000 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.

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 Senior Software Engineer - Camera Systems.

In this role, you will

• Develop software for hardware calibration, benchtop testing, and sensor data collection tools
• Partner tightly with Hardware, Firmware, and Software engineering teams to drive successful execution and delivery of software applications
• Simplify release management, bootstrapping, and deployment of applications
• Improve flexibility and testability of software to simplify updates and changes requested by customers.

Required Qualifications

• BS / MS in Computer Science, Computer Engineering, Robotics or related field and 5+ years of cumulative experience
• Ability to read and develop production quality software in C++ and Python
• Experience developing end-to-end solutions (HW, SW, integration)
• Experience with fault-tolerant software system design and automation
• Knowledge of sensor fusion (camera, lidar, IMU, etc) concepts and experience with its data and calibration
• Ability to work in a hands-on environment.
• Strong technical and non-technical communication skills.

The base salary range for this position is $146,000 - $234,000 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.

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’re searching for a Hardware Systems Quality Engineer. The primary objective of this role is to ensure quality in manufacturing, supply chain, and vehicle integration in support of the development and production of the Aurora Driver.  A successful candidate is data-driven, excels at complex problem solving, has a strong quality and product focused mindset, and can lead cross-functional teams to identify and eliminate systemic problems, issues and risks.

In this role you will

• Lead, develop, and support test and inspection plan creation in accordance with required specifications.
• Perform tests and inspections according to Quality plans and procedures to record & analyze data, document and report results.
• Create and maintain documentation and records of test operations.
• Troubleshoot, debug, and perform general root cause analysis for software and hardware faults and defects. 
• Perform cable and harness assembly testing and troubleshooting.
• Operate inspection and test fixtures or equipment, with ability to train others as required.
• Support the activities related to non-conforming product(s) and returned material authorization activities (Material Review Board).
• Participate in audit and manufacturing process audit activities.
• Actively participate in continuous improvement activities.

Required qualifications

• A Bachelor's Degree in Engineering, Computer Science, or related field.
• 3+ years of experience in quality, autonomous vehicle manufacturing, electro-mechanical assembly operations, robotics or equivalent field experience.
• Experience with programming and scripting (C++, Python or equivalent).
• Experience debugging complex electronic assemblies and/or manufacturing cable assemblies.
• Ability to understand electrical and mechanical drawings.
• Strong attention to detail, with excellent written and verbal communication skills.
• Ability to work in a fast-paced team environment.

Desirable qualifications

• IPC 610 and IPC 620 certification(s).
• Experience working with autonomous vehicles.
• Experience with GitHub.
• Experience with automotive manufacturing and quality specifications.
• Ability to travel to company locations in the continental U.S.

The base salary range for this position is $112,000-$180,000 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-JH1

#Mid-Senior

Key Responsibilities

• Support customers in the design, optimization, and management of electrical infrastructures
• Analyze and improve network performance, reliability, and energy efficiency
• Perform cable design, network sizing, and system modeling
• Conduct network simulations and short-circuit studies
• Provide both technical and cost-related assessments of electrical systems
• Deliver actionable recommendations for infrastructure optimization and long-term sustainability
• Collaborate with cross-functional teams to ensure successful implementation of solutions

Required Qualifications

• Proven experience with applied electrical networks in complex environments such as:
• Data centers
• Semiconductor fabrication facilities
• Airports
• Metro systems
• Industrial sites
• Strong expertise in:
• Cable design
• Network sizing and modeling
• Network simulation
• Short-circuit analysis
• Ability to evaluate both technical performance and financial implications of infrastructure decisions
• Strong customer-facing skills with the ability to explain complex technical topics clearly
• Proficiency with Matlab / Simulink

Preferred Skills

• Experience in energy optimization and sustainability initiatives
• Background in power systems engineering or electrical infrastructure consulting
• Familiarity with industry standards and grid compliance requirements

Salary Range: $90,000-100,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

We’re searching for a talented Systems and Safety Engineer to make an impact on the verification of the autonomous vehicle (AV) sensing capabilities. In this role, you will have the opportunity to define and validate the sensing capabilities of the Aurora Driver to a level of super-human performance and safety. You will work with world-class engineers in Aurora Driver software teams to meet the ambitious product goals at Aurora while maintaining a high bar of safety as we expand across lanes, platforms, environments, and other technical challenges at large scale.

In this role you will

• Own the definition and allocation of requirements within a sensing capability,  understanding impacts to interfacing modules, with appropriate decomposition and traceability
• Perform impact analysis that supports product expansion as it relates to requirements, coverage, and risk due to sensing capabilities
• Collaborate closely with Product, Operations, and Autonomy teams to elicit sensing requirements from product definitions and system-level requirements and use cases
• Perform safety analyses (such as HARA, FMEA, STPA etc.) to understand the safety and any risk associated with sensing capabilities
• Define and execute comprehensive Verification & Validation (V&V) activities
• Perform detailed data and kinematics analysis to rationalize the desired requirements and test coverage
• Support requirement management workflows, traceability, and tooling
• Facilitate cross-functional co-development activities and working groups including support to design reviews, reconciliation of requirements, and producing high quality documentation.
• Develop and obtain cross functional alignment on novel approaches for systems and safety engineering work

Required qualifications

• Degree in Mechanical, Electrical, Aerospace Engineering, Computer Science, Robotics, or a related field
• 3+ years of experience in systems engineering, safety engineering, or a related field
• Experience writing verifiable functional and non-functional requirements, preferably in autonomous systems
• Experience in a safety critical industry and software development standards, software safety fault/hazard analysis, and requirements-driven software verification and validation strategies
• Proven ability to work in high-ambiguity environments with evolving priorities, while managing diverse stakeholders across software, product, and operations teams
• Excellent communication and presentation skills

Desirable qualifications

• 5+ years experience deploying safety-critical features or products at scale
• Demonstrated proficiency in the application of ISO 26262, ASPICE, and ISO 21448 (SOTIF)
• Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems
• Familiarity with modern software development practices and designs, unit testing, integration test, and release processes
• Experience with various testing modalities and strategies

The base salary range for this position is  $126,000 - $181,000 per 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.

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 are looking for a Senior Staff Software Engineer to join our Performance Engineering and Optimization (PeO) team. As a technical leader in this high-impact group, you will spearhead efforts to push the boundaries of our system's efficiency, ensuring our technology remains at the forefront of the industry. This is a rare opportunity to own the performance roadmap for a commercialized product, tackling complex, large-scale engineering challenges that directly influence the reliability and speed of our fielded environment.

In this role you will

• Lead cross-functional performance initiatives to identify and resolve systemic bottlenecks, significantly improving end-to-end latency and system throughput.
• Architect and implement advanced system instrumentation frameworks to provide deep visibility into modern OS-level performance metrics.
• Drive the technical strategy for C/C++ optimization, mentoring junior engineers and establishing best practices for high-performance systems-level programming.
• Collaborate with product and infrastructure teams to ensure that performance remains a core pillar throughout the product lifecycle, from initial design to field deployment.
• Analyze and interpret complex telemetry data from fielded environments to proactively address performance regressions and optimize resource utilization.

Required qualifications

• 8–10+ years of professional experience in systems-level programming
• Lead C/C++ optimization and system instrumentation to improve latency and throughput.
• Experience delivering and supporting a commercialized product in a fielded environment.
• Hands-on expertise with modern OS-level instrumentation toolkits 

Desirable qualifications

• Proven track record of technical leadership for large-scale performance engineering projects within the autonomous vehicle or robotics industry.
• Deep familiarity with Linux kernel internals, memory management, and hardware-software co-design principles.
• Experience with specialized profiling tools (e.g., eBPF, perf, or Ftrace) and automated performance regression testing suites.
• Advanced degree (Master’s or PhD) in Computer Science, Computer Engineering, or a related field with a focus on systems performance.

The base salary range for this position is $171,000.00-$273,000.00 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.

 #Mid-Senior 

#LI-td-1

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. Aurora is seeking a Staff Mechanical Design Engineer for the Compute Product Engineering team within the HPE (Hardware Product Engineering) group.

The HPE Mechanical Design team is responsible for the development of all custom hardware modules in the Aurora Driver Kit (ADK) including Compute modules, Sensor Pods, and Lidar. The team works cross-functionally with EE, layout, CAE, Reliability, EMC, NPI, Operations, and other R&D teams to deliver the robust, scalable electro-mechanical solutions that power the Aurora Driver. Our team starts development at the earliest stages of product scoping and technology exploration and carries products through mass production at scale with our manufacturing partners.

Role Overview

In this role, you will lead the development of our next-generation Aurora Driver Module, which consists of the integration of our Primary Computer and Electronic Control Units for our autonomous vehicle platform known as the Aurora Driver. This role owns mechanical architecture from concept through production, driving robust, manufacturable designs for compute hardware deployed in safety-critical environments. In addition, you will support and sustain products driving autonomously on roads today. This is a high-impact, cross-functional role at the intersection of mechanical design, electronics packaging, and vehicle integration, with responsibility for setting technical direction and mentoring engineers.

In this role you will

• Lead mechanical design and architecture of ECU systems, including enclosures, thermal management, structural design, and packaging
• Own full lifecycle development: concept → prototype → validation → production release 
• Define system-level requirements and translate into detailed mechanical designs and specifications
• Design for high-performance compute systems including:
• Thermal solutions (passive/active cooling, application of TIMs, design of heat sinks)
• EMI/EMC shielding and grounding strategies
• Shock/vibration durability for automotive environments
• Optimize packaging for space, weight, thermal constraints, and serviceability
• Prototyping & Validation
• Drive rapid prototyping, bring-up, and iterative validation of ECU hardware
• Partner with Reliability to develop and execute validation plans (DV/PV)
• Lead root cause analysis and design improvements based on test data 
• Manufacturing & Production
• Partner with manufacturing and suppliers for DFM/DFA optimization
• Own transition from prototype to production-grade designs 
• Cross-functional Leadership
• Work closely with electrical, firmware, software, and vehicle integration teams
• Drive system-level tradeoffs across multiple domains for critical decision making
• Provide technical leadership, design reviews, and mentorship to junior engineers

Required Qualifications

• BS / MS in Mechanical Engineering (or similar) and 8+ years of industry experience in Mechanical Design
• Proficient in CAD design & 2D drawing creation using GD&T, Catia 3DX preferred
• Prior experience with Contractor Manufacturers in high volume settings, including DFM/DFA, build support, and ECO processes.
• Experience designing for harsh environments including shock/vibration and temperature cycling with long term durability
• Experience mitigating EMI/EMC through specifications for connector selection, board-level shielding, and wiring harnesses.
• Ability to apply a deep understanding of both structural and thermal engineering principles to assess designs and validate simulation outcomes
• Proficiency in generating 2D tolerance analysis, including the application of Root Sum Squares (RSS) and Monte Carlo when appropriate
• Knowledge of materials and manufacturing processes common to electromechanical products
• Experience identifying critical failure modes and reaction plans to mitigate failures
• Experience in troubleshooting and root-cause analysis of product and fleet issues
• Experience working in multidisciplinary environments (mechanical + electrical + software)
• Strong presentation and documentation skills for participating in critical design decisions
• Willingness to travel within the US 1-2 times a year and internationally 1-2 times a year

Desirable Qualifications

• Experience with automotive ECUs or high-performance compute systems and integration into vehicles
• Experience with high power, high thermal density, and high speed electronics (for example, server / networking design, avionics design, etc) and deep understanding of their integration challenges
• Past experience with FEA & CFD, specifically for integrated electronics (Ansys + Icepak preferred)
• Experience designing mechanical control outlines (MCO) of PCB assemblies
• Experience with designing to Automotive standards, like ISO 16750 and similar
• Ability to lead DFMEA creation and execution with a clear understanding of failure modes and mechanisms for electro-mechanical products in a safety critical environment
• Experience with supplier management, PPAP, and production ramping
• Background in autonomous vehicles, robotics, and/or automotive vehicle design
• Proven experience with manufacturing processes, including, but not limited to, High Pressure Die Casting, CNC Milling, Stampings, and Press Brake Bending.

The base salary range for this position is $163,000 - $236,000 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.

#Mid-Senior 

Aurora’s Product Security team’s mission is to discover, mitigate, and prevent security risks in the software, hardware, and services developed by Aurora.

Our team is responsible for ensuring the secure design and implementation of secure technologies used by the Aurora Driver as well as continually improving the assurance levels of security across all of Aurora’s Products.  This team is also responsible for developing, contributing and documenting security engineering processes and the resulting product security requirements used by the company. Additionally team members support and perform technical security assessments, threat modeling, security code reviews and vulnerability testing to highlight and document risks. This team works closely with engineers across Aurora as well as 3rd party partners to design and proactively integrate initiatives to enhance security across a wide variety of software or hardware domains and technology stacks.

In this role you will:

• Provide consulting and advisory services to engineering teams heavily focused on automotive cybersecurity
• Work directly with engineering and non-engineering teams to drive improvements in internal processes, procedures and technical fundamentals through threat modeling and requirements development
• Develop, document, improve, implement and execute cybersecurity best practices and processes for autonomous vehicles across internal and external engineering partners
• Perform technical automotive cybersecurity assessments and reviews, research, uncover, and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers to drive architecture changes
• Assess the risks across the Aurora Driver Platform and prioritize high value components (software and/or hardware) for critical and high security vulnerabilities
• Conduct research to identify new and novel attack vectors against Aurora’s products and services
• Review, develop and document secure operational best practices, and provide security guidance for engineers and various internal and external partners 

Required Qualifications:

• Foundational knowledge of Automotive Cybersecurity (ISO21434/UNECE/NHTSA)
• Foundational knowledge of operating system security for Linux
• Foundational knowledge of the CWE Top 25
• Develop, document and execute structured processes and procedures around automotive cybersecurity
• Ability to write proficiently in C++, Golang and Python
• Ability to assess software and/or hardware components with and without full knowledge
• Ability to work well with other assessment members and engineering partners
• Ability to communicate effectively with technical and non-technical audiences
• Experience in one or more of the following: risk assessment, threat modeling, incident and emergency response, OS hardening, vulnerability management, pentesting, offensive security or cryptographic protocols and concepts
• Experience in vulnerability discovery and analysis, design review, and code-level security reviews
• Experience in, and technical knowledge of security engineering, computer and network security, authentication and security protocols, and applied cryptography.
• Experience with assessment, development, implementation, and documentation of a comprehensive and broad set of security technologies and processes

Desirable Qualifications:

• Relevant automotive cybersecurity work experience
• Relevant experience with Automotive Cybersecurity Frameworks (ISO21434/UNECE/NHTSA)
• Relevant work experience in offensive security, penetration testing or red teaming
• Experience implementing various Defense in Depth Strategies to address dynamic threats across various software and hardware stacks.
• Ability and desire to write production-quality code in C++, Golang, or Python
• Experience evaluating the security of software, hardware and services
• Foundational knowledge of embedded firmware security and hardware security, preferably in the robotics or automotive space
• Familiarity with cloud security (AWS) and infrastructure-as-code
• Familiarity with Trusted Platform Modules, HSMs, and trusted boot
• A history of giving back to the security industry via open source contributions, published papers, or conference presentations

The base salary range for this position is $171,000 - $250,000 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.

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 Quality Engineer II. The primary objective of this role is to ensure quality in manufacturing and supply chain in support of the development and production of the Aurora Driver and delivering the benefits of self-driving technology safely, quickly, and broadly. A successful candidate is data-driven, excels at complex problem solving, has a strong quality and product focused mindset, and can lead cross-functional teams to identify and eliminate quality problems, issues and risks.

In this role, you will

• Lead the supplier partner and/or CM industrialization process from design through production ramp-up.
• Lead the APQP process and manage PPAP through the start of production with supplier partners and/or CM as well as Aurora’s OEM customers.
• Lead the development of pFMEA, Control Plan, capability analysis, MSAs, DOEs, etc. in alignment with automotive APQP and PPAP requirements and activities.
• Support the development of dFMEAs, PFD, and Work Instructions at supplier partner and/or CM by closely working with Aurora design and NPI teams. 
• Support supplier partner and/or CM with tooling, equipment, and process qualifications by closely working with Aurora design and NPI teams.
• Assess supplier partner and/or CM readiness for each build phase and help manage production risks.
• Lead root cause and corrective action efforts for any supplier partner and/or CM related quality issues from production or field returns.
• Monitor and report supplier partner and/or CM quality metrics both internally and externally to Aurora’s OEM customers to ensure continuous improvement.
• Uses lean tools, statistical techniques and analytical methods to achieve effective problem solving, root cause discovery and corrective action (8D Problem Solving, 5-Why) both internally and externally.
• Closely collaborate with other cross-functional teams throughout the industrialization phases to ensure products meet industry and Aurora’s quality standard.
• Train suppliers on Aurora quality system, process, and review part quality documentations (e.g. PSW elements)
• Support the development and continuous improvement of Aurora quality management systems with a focus on APQP and supplier partner/CM management.
• Travel domestically and internationally ~25%  to supplier partner and/or CM sites to facilitate audits, industrialization activities and issue resolutions.

Required Qualifications

• Bachelor of Science in Electrical, Mechanical, Industrial Engineering, or related fields; or equivalent combination of education and experience.
• 5+ years in quality, supplier quality, or manufacturing - ideally in automotive, aerospace, robotics, or medical devices.
• Hands-on experience launching new products and improving quality systems.
• Strong experience with supplier audits, APQP, PPAP, and production ramp-ups. 
• Excellent analytical abilities, technical writing ability and comprehensive understanding of the quality toolbox (SPC, 8D root cause analysis, tolerancing, control and inspection standards, etc.).
• Familiar with key quality tools: FMEAs, control plans, SPC, MSA, and capability studies.
• Understanding of manufacturing processes for PCBA, electromechanical assemblies, injection molding, casting, and stamping.
• Capable of interpreting engineering drawings and using GD&T
• Knowledge of ISO 9001, IATF 16949 quality systems
• Experience with Google Sheets, Docs, Slides and Gmail.
• Excellent written and verbal communication of status and results, including generating formal reports or presentations for customers.
• Ability to work in a fast-paced team environment.

Desirable Qualifications 

• Certifications like CQE, Six Sigma Green Belt, or Quality Auditor
• Experienced in ISO 26262.
• Proficient in Minitab or other statistical software capabilities.
• Experience with Jira.

The base salary range for this position is $112,000-$180,000 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-JH1

#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 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 

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 II - Vehicle Control.

In this role, you will

• Work within our control team to develop infrastructure and integrate embedded software with a modern C++ autonomy stack.
• Interact with autonomy planning and control software, embedded layer software, and vehicle platform commands and monitoring.
• Develop frameworks for robotics software that is run across multiple hardware devices.
• 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 control subsystem to assist in verification to safety-critical coverage standards.
• Development in Linux-based environments as well as RTOS embedded environments.

Required Qualifications

• Experience in software development using modern robotics frameworks
• Proficient in C++/C and python, including experience with embedded applications
• Knowledge of software architecture design best practices
• Familiarity with modern communication technologies and networking protocols (CAN, TCP/IP)
• Working knowledge of software analysis, linting, and testing tools
• Experience in systems-level programming

Desirable Qualifications 

• Experience in a regulated, safety critical, or quality managed environment
• Familiarity with control systems of automotive, aerospace, robotics, or similar systems

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-JH1

#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 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 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 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 

Position Overview

We're building the future of robotics — and we need sharp, curious operators to help us get there.

As a Robot Operator at Skild AI, you'll get hands-on time with some of the most advanced robots in the world. Data collection is the backbone of robotic intelligence, and your work will directly shape how our robots learn and evolve. If you love being on the frontier of something genuinely new, this role is for you.

Responsibilities

• Operate robotic systems for assigned tasks (e.g., packing, insertion, assembly, etc.).
• Follow established procedures for teleoperation and data collection.
• Maintain efficiency, safety, and instructional accuracy in robotic operations.
• Collaborate with supervisors and team leads to optimize workflow.
• Adhere to company policies regarding workplace conduct and performance standards.

Preferred Qualifications

• Physical ability to remain seated for extended periods and perform repetitive tasks
• Ability to communicate and follow instructions
• Baseline technical literacy
• This role requires you to be available for a minimum of 3 8-hour shifts per week.
• You will be expected to meet a bar of performance on both the quality and quantity of the data you collect. 

*This will be a remote-based role, but the individual must be based in the Greater Pittsburgh, PA area*

We have an immediate opening for an Account Manager with a proven track record of success to join our rapidly growing team. Reporting to the Account Growth leader, this role serves as a critical member of the Account Management team and is responsible for bringing our staffing solutions to large businesses. As an Account Manager, you will manage a portfolio of top-tier assigned customers within Midwest markets, develop new business from existing clients, and actively seek expansion opportunities to grow overall client revenue. This role will have a visible impact on our growing organization. This is a true career opportunity with tremendous professional and financial upside. This role requires business acumen and a strong motivation to maximize revenue and impact on the business.

Who You Are:

• 3+ years of industry expertise either in software, human capital management technology, staffing, or recruiting industry sales
• Consistent achievement of sales goals
• Excellent communication skills and a consultative approach to identifying problems and finding solutions
• Takes ownership of problems and proactively seeks timely resolution
• Proficient in Salesforce
• Ability to play well with members of your team through collaboration and sharing of learned insights
• Passion for Instawork and a strong motivation to maximize revenue and impact on the business
• Drive and willingness to exceed expectations with a strong work ethic
• Strategic and creative thinking enables you to understand industry and customer trends and apply those insights to deliver business results
• An entrepreneurial spirit and creativity that sparks your capacity for building and growing business and solving problems

What You’ll Do:

• Develop and maintain strong relationships with accounts with a long-term partnership vision in mind
• Own both growth and retention metrics for a portfolio of customer accounts
• Provide daily support and service to clients, rallying internal resources to achieve and exceed client expectations
• Demonstrate a strong business case for Instawork through a strong motivation to maximize revenue and impact on the business
• Meet and exceed your sales growth goals through forging relationships with key decision makers within target accounts with the end goal of securing new business and growing overall client revenue
• Identify, prioritize, and track progress towards key account metrics and annual quota
• Ability to demonstrate how you have established a set of smart goals on your largest opportunities and proven success on execution
• Stay current on our clients' business, industry, and key objectives and challenges so that you can be a trusted ally in providing thought leadership
• Collaborate with internal stakeholders across product, engineering, community operations, and finance
• Present to a wide audience of potential buyers including C-level and executive sponsors both in person and virtually

For PA-Based Applicants:

• The base salary for this position is $90,000, with an OTE of $150,000 (uncapped sales incentive pay)
• This position is eligible for equity in the form of stock options
• This position is eligible for Instawork benefits, including:
• A variety of medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity

#LI-Remote

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1