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 Staff Security Platform Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and we need someone who makes our security tools actually work, not just deployed, but deeply configured, continuously tuned, and fully leveraged. This role is for the practitioner who has spent their career living inside security platforms: the person who knows their EDR better than the vendor's own support team, who can write a SIEM query from memory, and who instinctively knows when an alert is misfiring and exactly why.

This is not a software engineering role. It's a role for an elite security operator — someone with the instincts of a seasoned SOC analyst and the technical depth to own the platforms that power detection, response, and protection at enterprise scale. If you find deep satisfaction in mastering a tool, closing a coverage gap, or hunting down a threat that nobody else noticed, this role was written for you.

In this role you will

• Own the operational health, configuration, and continuous improvement of Aurora's enterprise security platform stack — including EDR/XDR, MDM, SIEM, DLP, IAM/IGA, DNS security, Email security, and PKI — ensuring each tool is tuned, policy-complete, and delivering reliable signal.
• Develop and refine detection rules, correlation logic, and alert policies, reducing noise while ensuring Aurora maintains high-fidelity coverage against real threats.
• Conduct proactive threat hunting across Aurora's security telemetry — forming hypotheses, querying logs, and investigating anomalies before they surface as incidents.
• Serve as the deepest internal expert on Aurora's enterprise security tooling, acting as the escalation point for complex platform issues, misconfigurations, and detection failures.
• Participate in the team's on-call rotation, leading deep-dive investigations into security alerts and incidents and driving triage, containment, and root cause analysis.
• Continuously audit and validate that existing security controls are configured to actually do what they're supposed to do — not just deployed and forgotten.
• Maintain operational runbooks, detection documentation, and platform configuration records, ensuring the team can operate consistently and scale institutional knowledge.

Required qualifications

• 12+ years of hands-on experience in enterprise security operations, security platform administration, or a senior SOC engineering role — with a career built on deep operational ownership of security tooling rather than software development.
• Expert-level proficiency administering and operating at least two enterprise security platforms (e.g., CrowdStrike, SentinelOne, Splunk, Panther, Sentinel, Jamf, Kandji/Iru, Puppet, WorkspaceONE, Intune, Zscaler, Okta, Proofpoint, Wiz, osquery), with strong working knowledge across several others.
• Demonstrated ability to tune and optimize security platforms beyond out-of-the-box configurations — writing custom detection logic, adjusting policy sets, and validating control effectiveness.
• Strong log analysis and threat hunting skills: you know how to build a hypothesis, write the query, follow the thread, and know when to escalate.
• Experience conducting thorough incident investigations — triage, containment, root cause analysis, and post-incident review — and communicating findings clearly to technical and non-technical stakeholders.
• Ability to assess security control effectiveness: not just "is this tool deployed" but "is it configured correctly, covering the right scope, and generating actionable signal."
• Comfort working under pressure in ambiguous, fast-moving situations with competing priorities.

Desirable qualifications

• Scripting ability for automation, log parsing, or workflow improvement (Python, Bash, or similar) — you don't need to be a software engineer, but you can write a script when it saves you an hour.
• Deep familiarity with MITRE ATT&CK as an operational tool for detection gap analysis and threat hunting hypothesis development.
• Experience with AWS security telemetry (CloudTrail, GuardDuty, Security Hub) and integrating cloud signals into a corporate SIEM.
• Familiarity with Zero Trust and identity-centric security models as they apply to policy enforcement in IAM and endpoint platforms.
• Platform-specific certifications such as CrowdStrike Certified Falcon Administrator, Splunk Core Certified Power User, or equivalent — or practitioner certifications like GCIH, GCIA, GCFE, or GCFA.

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.

About the Role:

The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. They work closely with manual labeling efforts and infrastructure teams to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving. 

We are looking for a Labeling Analyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards. The Labeling Analyst will also collaborate across operational and technical teams to identify and correct issues and support other labeling related tasks as needed.

Responsibilities:

• Review labels using internal and third party tooling to identify defects, mis-labeled or unlabeled items.
• Perform high-precision mapping and spatial data annotation activities crucial for autonomous vehicle navigation, utilizing proprietary tooling.
• Update issue trackers based on defects found, summarize findings and write reports.
• Follow up with internal and third party partners to resolve quality issues.
• Participate in defining requirements for, testing, and creating user documentation for internal label editing and review tooling.
• Help with other tasks such as selecting suitable logs for labeling and generating analytics on the QA process.
• Partner with engineering teams to define requirements for, test, and create user documentation for new proprietary labeling and mapping tools.

Qualifications: 

• Computer literacy and operate web based tools.
• Ability to work with Google docs, spreadsheets, write summary reports and aggregate statistics using Google Sheets.
• Ability to take high level acceptance criteria guidance and follow it to execute on label review.
• Ability to work in a highly collaborative, team environment across a variety of functional domains, both operational and technical.

Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

One of the keys to delivering an ADAS driving experience is an accurate, up-to-date HD map that describes the world around us. This map, collected onboard our vehicles and processed by the Data Services Operations team, must meet intense quality standards achieved through structured workflows, rigorous policy and attention to detail. Along with providing HD map production, the Map Operations team supports and enables data-driven decision making by providing GIS analysis to teams across Ford and Latitude. 

We are seeking a highly skilled and motivated Data Services Analyst to join our team. The ideal candidate will be responsible for quality controlling map data, processing automation feedback, and crafting best practices related to Geographic Information Systems (GIS).

This contract will be 1 year (12 months) in duration. 

What you’ll do: 

• Execute quality control functions in Latitude’s HD map data pipeline to ensure accuracy and consistency
• Provide automation feedback to improve efficiency of Map Operations
• Maintain and ensure the quality of GIS data and related processes
• Analyzing spatial data through the use of mapping software

What you'll need to succeed:

• Proficiency in GIS software such as ArcGIS, QGIS, or similar
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Experience in quality control and data management is preferred
• Ability to work 100% at desk in a 2D and 3D virtual environment

Nice to have:

• Bachelor's degree in GIS, Geography, Environmental Science, or related field
• Previous experience working in an AI/self-driving setting or similar
• Experience sourcing and federating third party data for spatial analysis

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About the Role:

Triage is a critical operational process used in the development of autonomous vehicles to better understand system performance and identify suboptimal behavior. As a Triage Analyst, you will collaborate with Autonomy and Operations teams in reviewing events of interest, collected from real world driving as well as from simulation, and annotating them with contextual information guided by Stack’s Triage Policy & Guidelines. You will use data visualization tools to annotate events, and categorize them by issue type & priority, per our Triage Policy. Additionally you will assemble and present performance reports on our self-driving system, using Triage data. This role requires the ability to process detailed guideline documentation and utilize various review tools including video, textual, and numerical data to accurately categorize AV events. Experience with 2D/3D visualization tooling, as well as GSuite (Sheets, Docs, Slides) or equivalent is beneficial.

Responsibilities:

• Collaborate with Autonomy and Operations teams to review and annotate events of interest from real-world driving and simulation.
• Annotate events with contextual information, adhering to Stack's Triage Policy & Guidelines.
• Utilize data visualization tools to categorize events by issue type and priority.
• Process detailed guideline documentation and use various review tools (video, textual, numerical data) to accurately categorize AV events.
• Assemble and present performance reports on the self-driving system using Triage data.

Qualifications:

• Strong analytical skills including the ability to understand extensive operational guidelines and apply them to an operational workflow.
• Demonstrated experience working effectively within a team environment in an operational capacity.
• Experience working with data to generate quantitative and qualitative reporting.
• Strong communication skills and the ability to convey complex information in a succinct and effective manner.
• Significant experience working with GSuite type products (Sheets, Docs, Slides).
• Experience as a Triage or Annotation / Labeling Analyst for an AV or Robotics company is preferred.
  

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