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 Fleet Operations Technician to join our team. This role will be focused on maintaining our fleet vehicles, performing routine maintenance, complex repair, and collaboration with our hardware team upgrading components. This position requires great attention to detail, excellent cross-team communication, documentation and solid diagnostic chops. Must be comfortable solving difficult challenges, ready to roll up the sleeves to expedite repair and a constant eye for quality. Must have experience using OEM diagnostic tools, methodologies, and a logical troubleshooting approach. 

This is a night shift position working Monday - Friday from 8:00pm - 5:00am CT. 

In this role, you will

• Work closely with Vehicle Operations, Software, and Hardware performing diagnostics, test-plans, and vehicle upgrades.
• Perform routine OEM maintenance to complex mechanical and electrical repairs.
• Document and communicate findings through process and systems
• Take ownership and escalate data or findings when appropriate
• Perform quality service and repair, work cross functionally, and bring a can-do team spirit.
• Maintain a clean and professional workspace.
• Capable of balancing and prioritizing multiple tasks.
• Mechanical aptitude: Assemble or build parts or jigs for prototypes, proficiency with mechanical fabrication (drill press, saws, hand tools, etc.).
• Testing procedures: Build and setup test rigs for mechanical and/or electrical tests across multiple teams (Hardware, Systems, Devs...etc.).
• Provides feedback, creates and implements processes and suggestions to new and/or improved workshop standards, protocols, and processes.

Required Qualifications

• At least 3- 6 years OEM Technician Experience
• At least 2 years diesel experience
• Solid diagnostics chops
• Valid US driver’s license.
• Demonstrate knowledge of basic workshop etiquette, provide verbal and writing communication across all teams
• Safety conscious and knowledge of general shop safety
• Basic Knowledge of DOT and CVSA rules and requirements
• Ability to lift up to 50 pounds 
• Ability to stand, walk, bend, crouch, stoop, reach, stretch, step, climb, and/or sit frequently throughout the duration of the day
• Ability to work independently with minimal supervision
• Attention to detail and highly organized
• Ability to travel as needed
• Available to work day or night shifts 
• Ability to work early mornings or late nights, on rotating shifts 
• Ability to work regular overtime and some weekends
• Ability to read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals. 
• Ability to write routine reports and correspondence. 
• Ability to speak effectively before groups of customers or employees of an organization.

Desired Qualifications 

• Direct manufacturing and prototyping experience a bonus
• Prior experience working with autonomous vehicles
• Experience with CAN bus issues

The base hourly wage range for this position is $35.50-$42.50 per hour.  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-KM23

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 Senior Fleet Planner to join the Operations Excellence team in Dallas, TX. In this role, you will lead the planning and analysis of our logistics network, resource allocation, and load scheduling strategies to optimize efficiency and profitability. You will partner cross-functionally to  translate operational challenges into scalable, data-informed solutions that support both commercial and development priorities. This role requires strong analytical skills combined with business acumen.

In this role, you will:

• Partner with Product, Business Development, and Dispatch stakeholders to develop and optimize weekly network and resource plans across people, trucks, and terminals 
• Build forecasting models to optimize fleet allocation, load management, and network efficiency against commercial and development demand.
• Translate business problems into analytical frameworks and actionable recommendations that drive operational decisions
• Scope and define business requirements for fleet allocation, scheduling, load management, and optimization tools in partnership with Product and Engineering teams
• Create and manage weekly resource allocation schedules based on operational inputs and outputs (fleet allocation, load management, etc.) and network optimization tools 
• Develop performance metrics and dashboards to monitor utilization, identify constraints, and improve operational efficiency
• Generate executive-ready analyses and recommendations on current and projected resource utilization, operational performance, and alignment to revenue plans
• Identify constraints and proactively recommend tradeoffs across cost, service, and capacity
• Apply logistics engineering principles to design and improve terminal layouts, routing logic, and resource flow
• Develop a strong understanding of logistics partner needs, constraints, and service expectations to improve delivery and cost-effectiveness

Required Qualifications: 

• BS in Industrial Engineering, Economics, Mathematics, Statistics, Finance, Supply Chain, Operations Research, or a related quantitative field
• 5+ years of experience in logistics, supply chain, network planning, or operations strategy, with a focus on data analysis and network optimization.
• Experience building forecasting, allocation, or optimization models
• Advanced modeling skills in Excel or Google Sheets
• Experience using  logistics, planning, or analytics tools to support operational workflows
• Experience using data to solve operational problems and influence business decisions
• Strong communication skills with the ability to present insights to technical and non-technical audiences
• Demonstrated ability to operate effectively in ambiguous, fast-changing 
• Strong judgment and ability to drive work from problem definition through execution
• environments
• Ability to influence cross-functional stakeholders and translate analysis into action

Desired Qualifications:

• Experience in a high-growth tech or startup environment
• Experience in SQL
• Understanding of Lean Six Sigma principles
• Familiarity with Looker, Tableau, or similar BI tools
• Experience collaborating with engineering or product teams to develop operational tools
• Interest in transportation, logistics, or autonomous vehicle operations

The base salary range for this position is  $104,000 - 150,000 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-KM23

#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.  Aurora is seeking a Senior Business Analyst to join the Operations Excellence team in Dallas, TX. In this role, you will lead the planning and analysis of our logistics network, resource allocation, and load scheduling strategies to optimize efficiency and profitability. You will partner cross-functionally to  translate operational challenges into scalable, data-informed solutions that support both commercial and development priorities. This role requires strong analytical skills combined with business acumen.

In this role, you will:

• Partner with Product, Business Development, and Dispatch stakeholders to develop and optimize weekly network and resource plans across people, trucks, and terminals 
• Build forecasting models to optimize fleet allocation, load management, and network efficiency against commercial and development demand.
• Translate business problems into analytical frameworks and actionable recommendations that drive operational decisions
• Scope and define business requirements for fleet allocation, scheduling, load management, and optimization tools in partnership with Product and Engineering teams
• Create and manage weekly resource allocation schedules based on operational inputs and outputs (fleet allocation, load management, etc.) and network optimization tools 
• Develop performance metrics and dashboards to monitor utilization, identify constraints, and improve operational efficiency
• Generate executive-ready analyses and recommendations on current and projected resource utilization, operational performance, and alignment to revenue plans
• Identify constraints and proactively recommend tradeoffs across cost, service, and capacity
• Apply logistics engineering principles to design and improve terminal layouts, routing logic, and resource flow
• Develop a strong understanding of logistics partner needs, constraints, and service expectations to improve delivery and cost-effectiveness

Required Qualifications: 

• BS in Industrial Engineering, Economics, Mathematics, Statistics, Finance, Supply Chain, Operations Research, or a related quantitative field
• 5+ years of experience in logistics, supply chain, network planning, or operations strategy, with a focus on data analysis and network optimization.
• Experience building forecasting, allocation, or optimization models
• Advanced modeling skills in Excel or Google Sheets
• Experience using  logistics, planning, or analytics tools to support operational workflows
• Experience using data to solve operational problems and influence business decisions
• Strong communication skills with the ability to present insights to technical and non-technical audiences
• Demonstrated ability to operate effectively in ambiguous, fast-changing 
• Strong judgment and ability to drive work from problem definition through execution
• environments
• Ability to influence cross-functional stakeholders and translate analysis into action

Desired Qualifications:

• Experience in a high-growth tech or startup environment
• Experience in SQL
• Understanding of Lean Six Sigma principles
• Familiarity with Looker, Tableau, or similar BI tools
• Experience collaborating with engineering or product teams to develop operational tools
• Interest in transportation, logistics, or autonomous vehicle operations

The base salary range for this position is  $104,000 - 150,000 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-KM23

#Mid-Senior 

We are searching for a Senior Data Analyst, Workforce Strategy to join the Operations Excellence team, who would be based in Dallas, TX. In this role, you will forecast, allocate, and optimize all operations headcount to align resource plans and schedules to hiring and vendor engagement strategies. You will be at the forefront of our staffing and vendor management strategy, working closely with cross-functional teams to gather and analyze data, identify trends, and develop plans that support our operational goals. This role requires strategic orchestration, analyzing workforce needs, and driving momentum under a fast-paced, ever-changing environment.

In this role, you will:

• Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs against organizational strategy and roadmap
• Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting / vendor management plans, and budget implications
• Build intuitive dashboards, metrics, and reports that highlight staffing utilization, labor productivity constraints, and capacity gaps
• Partner with senior Operations and Finance leaders to develop scenarios balancing service levels, cost optimization, and growth objectives
• Apply probabilistic modeling, Python-based simulation modeling, and artificial intelligence to simulate cost & efficiency trade-offs and resource optimization
• Lead monthly headcount data analysis and vendor management strategy reviews to synthesize headcount performance inputs from multiple stakeholders into cohesive strategic recommendations
• Analyze large, disparate datasets to uncover statistical trends in labor productivity and attrition
• Monitor workforce KPIs and identify program gaps or execution issues that impact profitability and scalability
• Improving data integrity and automating manual reporting workflows to increase functional efficiency

Required Qualifications: 

• 5+ years of experience in data science, management consulting, investment banking, engineering operations, FP&A, or strategic operations, ideally in a fast-scaling tech environment
• Bachelor’s degree and / or work experience in a quantitative field (e.g. Operations Research, Business Analytics, Economics, Math, Statistics, Finance)
• Exceptional Excel / Gsheets financial modeling skills, SQL, Python and statistical modeling skills and working with business intelligence tools (e.g., Mode, Tableau)
• Experience building/maintaining data pipelines and DBT models
• Strategic mindset with ability to balance detailed analysis with big-picture thinking
• Track record of multi-functional leadership and excellent stakeholder management to drive rapid, effective execution across the organization
• Strong executive presence with demonstrated ability to communicate complex analyses clearly to senior stakeholders
• Superior attention to detail
• Ownership mentality to drive issues and tasks to completion, with a strong bias for action

The base salary range for this position is $104,000 - $150,000 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-KM2

 #Mid-Senior 

We are searching for a Senior Data Analyst, Workforce Strategy to join the Operations Excellence team. In this role, you will forecast, allocate, and optimize all operations headcount to align resource plans and schedules to hiring and vendor engagement strategies. You will be at the forefront of our staffing and vendor management strategy, working closely with cross-functional teams to gather and analyze data, identify trends, and develop plans that support our operational goals. This role requires strategic orchestration, analyzing workforce needs, and driving momentum under a fast-paced, ever-changing environment.

In this role, you will:

• Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs against organizational strategy and roadmap
• Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting / vendor management plans, and budget implications
• Build intuitive dashboards, metrics, and reports that highlight staffing utilization, labor productivity constraints, and capacity gaps
• Partner with senior Operations and Finance leaders to develop scenarios balancing service levels, cost optimization, and growth objectives
• Apply probabilistic modeling, Python-based simulation modeling, and artificial intelligence to simulate cost & efficiency trade-offs and resource optimization
• Lead monthly headcount data analysis and vendor management strategy reviews to synthesize headcount performance inputs from multiple stakeholders into cohesive strategic recommendations
• Analyze large, disparate datasets to uncover statistical trends in labor productivity and attrition
• Monitor workforce KPIs and identify program gaps or execution issues that impact profitability and scalability
• Improving data integrity and automating manual reporting workflows to increase functional efficiency

Required Qualifications: 

• • 5+ years of experience in data science, management consulting, investment banking, engineering operations, FP&A, or strategic operations, ideally in a fast-scaling tech environment
  • Bachelor’s degree and / or work experience in a quantitative field (e.g. Operations Research, Business Analytics, Economics, Math, Statistics, Finance)
  • Exceptional Excel / Gsheets financial modeling skills, SQL, Python and statistical modeling skills and working with business intelligence tools (e.g., Mode, Tableau)
  • Experience building/maintaining data pipelines and DBT models
  • Strategic mindset with ability to balance detailed analysis with big-picture thinking
  • Track record of multi-functional leadership and excellent stakeholder management to drive rapid, effective execution across the organization
  • Strong executive presence with demonstrated ability to communicate complex analyses clearly to senior stakeholders
  • Superior attention to detail
  • Ownership mentality to drive issues and tasks to completion, with a strong bias for action

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

 #LI-KM2

 #Mid-Senior