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 Director, Product & Engineering Finance.

The Finance team is a fast-paced, high-impact team that engages closely with leadership and functional departments to optimize the deployment of capital, manage Aurora’s near and long range financial plans, and to set company and product-level goals. We partner with a diverse set of stakeholders to build our business and execute on our strategy. 

We’re looking for a highly-driven finance leader who thrives diving into the details and has experience partnering with software, hardware, manufacturing, and/or supply chain organizations, improving operational transparency, business decisions, and outcomes. Exceptional candidates will have deep industry and functional expertise with the ability to lead day-to-day operational execution while also driving stakeholders towards higher-level strategic outcomes.

In this role, you will

• Lead the team responsible for budgeting, forecasting, business planning, management reporting, and business analytics for the Software, Hardware, Supply Chain, and Manufacturing functions
• Quickly become a trusted Finance Business Partner to senior leadership teams for each of these departments, helping to enhance financial discipline and accountability
• Expertly manage complex financial data sets demonstrating strong executive presence, strategic thinking, and the ability to influence leadership decision making
• Partner with peers to design and drive strategic initiatives, such as multi-year autonomy hardware development and vehicle manufacturing operations, by working cross-functionally with stakeholders, providing rigorous analysis, and sound financial recommendations
• Work closely with functional and people business partners to develop proactive workforce planning and resource allocation strategies
• Develop financial models and conduct deep, data-driven analyses to frame and inform strategic objectives and track performance to expectations
• Improve the engineering teams’ ability to forecast capital requirements across multiple generations of product, identifying risk & opportunities to achieving targets
• Recommend strategies to optimize the deployment of capital and resources to efficiently meet or exceed targets

 Required Qualifications

• 15+ years of progressive work experience currently serving as the finance lead for a large, complex hardware or technology business with multi-year capital commitments
• Significant experience in deep tech, physical AI, manufacturing, hardware, automotive, aerospace, heavy industrial or other similar industries
• Deep understanding of Hardware and Software development cycles, including experience supporting engineering in the transition from R&D to commercial scale 
• Track record of building world-class finance teams and driving business and financial outcomes, as measured on margin improvement, working capital efficiency, forecast accuracy, and execution of cost-reduction initiatives
• Experience driving adoption of AI to enhance FP&A workstreams; understanding of the rapidly evolving landscape of tools and a passion for proactively incorporating AI to increase the pace and quality of execution 
• Strong written and verbal communication skills and proven ability to effectively communicate complex concepts to an executive audience in a succinct, clear manner
• Degree in Finance or related quantitative field such as Business, Economics, Math, or Statistics. Engineering degrees also considered
• Familiar with advanced Financial tools and systems (e.g. Pigment, NetSuite, Coupa, Plex, Oracle, SAP)

 Desirable Qualifications

• CPA (or international equivalent), CFA, or MBA preferred
• Expert-level GSuite skills, particularly Google Sheets, Google Docs and Google Slides
• Pigment, Netsuite and/or Coupa experience is a plus

The base salary range for this position is $189,000 - $274,500 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-JM3

#Director

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

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

In this role, you will

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

Required Qualifications

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

 Desirable Qualifications 

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

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

 #LI-td-1

 #Mid-Senior 

DoW SkillBridge Internship - Mission Control Operator

Location: On Site at Shift4's Mission Control Center in Center Valley, PA Headquarters

The DoW SkillBridge program allows active-duty service members to participate in civilian internships, apprenticeships or training during their final months of service. Participants remain on active duty, continue receiving full military pay and benefits, and gain real-world work experience with approved industry partners. For more information, and eligibility requirements, visit Shift4 DoW SkillBridge Program

Description:

Shift4 (NYSE: FOUR) is pushing the boundaries of Financial Technology through the creation of a new internal system, Mission Control. Like the name suggests, this system will be akin to the control rooms of the Space Shuttle and Apollo programs, where holistic company wide information is flowed from external systems across the business to a single, unified location. Subject matter experts will be able to analyze and action on data directly, allowing for fast response and creation of automation that can then identify and prevent similar issues in the future. 

As a Mission Control Operator, you will be one of the fundamental components of bringing this new vision to life. You will command and control different Shift4 business systems through our Mission Control interface, make decisions about how to direct and redirect resources, and become a technical subject matter expert in specific business divisions based on your experience. You will support the development of this new operational model and build with our engineering teams to bring new features and functions to Mission Control. 

This internship aligns well for transitioning military members currently at the E4 or E5 level experienced in the following military arenas: 

• Command Post
• Maintenance Operations Center (MOC)
• Crew Chiefs - backing up
• SPOC (Space Ops Center)
• Missile Warning Ops
• Operations Center

Responsibilities:

• Operate one or more Mission Control modules, ranging from supply chain operations to customer service, to technical payment infrastructure, representing and directing these teams when necessary for Mission Control operations.
• Work hand in hand with our business divisional leaders to learn the nuance and current operations, and develop SOPs to support the integration of Mission Control systems to those divisions. 
• Write operational documentation and execute daily, weekly, and monthly Mission Control Procedures.
• Identify, architect, and implement new Mission Control functionalities with support from Mission Control engineering teams. 
• Design and implement communication methods, escalation strategies, quality assurance protocols, and response plans to ongoing business and technical issues that Mission Control will identify. 
• Develop automation strategies to remove parts or process steps with high accuracy and quality to increase overall efficiency of Shift4 systems. 
• Expand the vision, and collaborate with stakeholders to ensure the functionalities of the system are aligned with company objectives. 

Minimum Qualifications:

• Ability to meet the core eligibility requirements of the DoW SkillBridge program (see above link). 
• 2+ years of experience operating in or developing complex systems such as mechanical, electrical, facilities, O&G, aerospace, or industrial automation or relevant experience gained within the military and/or other?
• Highly competent communication skills in English, both written and verbal. Excel in distilling information from dense technical systems into concise and clear documentation, and have experience communicating those consolidations to leadership.
• Personal experience leading technical projects, including conception, development, and implementation. 
• Previous experience in an operational and workflow oriented role.

Additional skills that are a plus to have:

• Professional Degree in a relevant field.
• Experience interacting with data systems such as Grafana, Tableau or other graphical user interfaces. 
• Personal experience utilizing operational software systems, including First Resonance ION, or a wholesale ERP such as SAP. 
• Experience with real time, time series data and creation of workflows around data indicators. 
• Experience with operational fundamentals such as corrective action reporting, non-conformances, inventory management, and data governance. 
• Python, Pyspark, or other programmatic skills.
• Experience with one of the following platforms: Palantir Foundry, Mulesoft.

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.

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.

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.

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

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

In this role, you will

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

Required Qualifications

• Degree in, or highly relevant experience in Systems Engineering, Computer Science, Information Systems, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or another relevant engineering field
• 6 - 8 years of relevant industry experience
• Proven experience in test and evaluation of complex systems
• Demonstrated understanding of the interdependency of Requirements Decomposition, Test Coverage, and Deficiency Resolution
• Experience with test methods, tools, and frameworks
• Ability to synthesize data into meaningful information to support decision making
• Excellent problem-solving skills and attention to detail
• Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.

Desirable Qualifications

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

The base salary range for this position is $115K - $166.5K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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 #Mid-Senior

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

In this role, you will

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

Required Qualifications

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

Desirable Qualifications

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

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

#LI-JL261

#Mid-Senior 

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