Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Senior Staff Product Designer to join as the design lead for our Customer Experience team, reporting directly to the Head of Design. This is a player/coach role. You will carry significant IC responsibility while directly managing one Product Designer who is focused on load planning and exception management.

Your mandate is the end-to-end customer journey that makes autonomous freight a reality. You will design the suite of tools used by trucking and logistics companies to activate and manage daily operations for a fleet of self-driving trucks. While autonomous technology is genuinely new territory for our customers, your job is to design experiences that feel familiar, intuitive, and integrated into their existing ecosystems. This isn’t a SaaS dashboard exercise. These are high-stakes operational tools that a vehicle operator or load planner needs to adopt to safely run an autonomous truck.

In this role, you will

• Own the customer experience blueprint. Define how interactions with the Aurora Driver are consistent, simple, and unified with the broader operational ecosystem
• Design customer-facing digital tools across web, mobile, and partner integrations
• Do just enough research to generate actionable insight, then use it to drive product decisions, not decorate them
• Tie your work directly to outcomes. For example, ensure support feels like a natural part of the product by designing self-serve recovery paths that allow users to resolve issues in under 5 minutes
• Manage and develop one Product Designer, and contribute to raising the bar for the broader design practice

Required Qualifications

• 8+ years of experience in product design, with a track record of leading complex, multi-workstream projects
• Experience formally managing other designers
• A portfolio showing end-to-end work across research and design for complex enterprise, operational, or mission-critical systems, with clear evidence of business impact
• Expertise in interaction design, information architecture, and UX research with a high bar for visual design quality
• Exceptional written and verbal communication skills, with the ability to translate research insights and design rationale into clear, compelling narratives for executive, cross-functional, and technical audiences

Desirable Qualifications 

• Experience with autonomous technology, hardware-software integrated products, or physical supply chain logistics
• Demonstrated ability to use AI across the design lifecycle without losing judgment

The base salary range for this position is $171K-$247K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

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

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

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

In this role, you will 

Strategy & Governance

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

Safety Risk Management & Assurance

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

Leadership & Culture

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

Required Qualifications

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

Desirable Qualifications 

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

The base range for this position is $176,000 - $228,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-xxx

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

Mission Summary:

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

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

Essential Duties:

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

Qualifications:

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

Preferred Qualifications (not required):

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

Physical Demands:

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

Working Environment:

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

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

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

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

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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.

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:

• Lead the design, development, and integration of complex electrical and mechanical systems for autonomous vehicles, ensuring they meet rigorous performance, safety, and reliability standards.
• Architect, analyze, and optimize vehicle electrical and networking systems (Automotive Ethernet, CAN) to enhance data throughput, fault tolerance, and system scalability.
• Spearhead the diagnosis and resolution of complex, intermittent system failures using advanced debugging tools (e.g., high-speed oscilloscopes, spectrum analyzers, logic analyzers) and sophisticated PC-based diagnostic and simulation software.
• Mentor junior engineers on best practices for system triage, troubleshooting, repair, and validation.
• Develop and execute comprehensive integration test plans for new vehicle features and subsystems, coordinating efforts across multiple engineering disciplines and external partners.
• Author and maintain high-level technical documentation for system architectures, design requirements, and validation procedures.
  
  

What we're looking for:

• Expert-level knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.) with a deep understanding of communication protocols and their limitations.
• Proven track record of success in root-cause analysis, systematic issue isolation, and resolution for complex hardware-software integration problems.
• Extensive experience with advanced Linux terminal troubleshooting, including scripting and low-level system diagnostics.
• Deep understanding of computer system architecture, including embedded systems, processing units, and networking hardware.
• Demonstrated ability to author and maintain highly technical documentation, including design specifications, test reports, and system validation plans.
• Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
• Excellent communication and interpersonal skills to effectively lead cross-functional teams and collaborate with external suppliers and partners.
• Extensive experience with various sensors, including cameras, LiDAR, and RADAR, and an understanding of their integration challenges.
• Master's degree or equivalent in Electrical, Mechanical, or Systems Engineering, or 10+ years of relevant experience in a senior-level role.
  
  

Preferred, but not required:

• Professional proficiency in programming languages such as Python or C++ for scripting, automation, and data analysis.
• Experience with advanced issue-tracking and project management platforms (e.g., JIRA, Polarion, Confluence), including dashboard creation and workflow optimization.
• Working knowledge of functional safety standards (e.g., ISO 26262) and their application in autonomous systems.

This role is hybrid from our Pittsburgh office. It requires in-office days each week.

Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

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

Mission Summary:

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

Key Responsibilities:

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

What We’re Looking For:

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

Bonus Points:

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

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

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

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.

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 Software Engineer to join Aurora’s Vehicle Connectivity team. The Vehicle Connectivity team is responsible for Aurora’s self-driving vehicle connectivity stack for reliable, observable, and secure vehicle-to-cloud communications.

In this role, you will

• Define vehicle connectivity and communication architecture
• Address connectivity-specific concerns for vehicle runtime, e.g. networking, performance, and observability
• Perform connectivity bring up of new vehicle platforms
• Work with autonomy engineers to meet performance and efficiency requirements for data collection and offload
• Provide engineering support for field testing and fleet operations

Required Qualifications

• BS/MS/PhD in Computer Science or related field, or equivalent industry experience
• Strong programming skills in C++
• Ability to work across multiple programming languages and paradigms
• Experience working with networking protocols, such as TCP, UDP, gRPC, HTTP
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Experience with Linux network configuration and troubleshooting
• Ability to navigate and work effectively in large codebases
• Strong verbal and written communication skills 
• Work autonomously, but still be a great team player with colleagues across time-zones

Desirable Qualifications 

• Experience with performance evaluation and optimization. 
• Network health monitoring frameworks
• Strong programming skills in GoLang
• Experience with safety critical systems
• Good understanding of ethernet switching and interaction between OSI layers 1, 2, 3 and 4

The base range for this position is $171,000 - $273,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-td-1

 #Mid-Senior 

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

Mission Summary:

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.

Motional’s Talent Acquisition Team recruits and supports world class talent. We are actively looking for a Talent Acquisition Sourcer to support all areas of technical hiring within our Autonomy Department. We are hoping you’ll be interested to join us!

What you’ll be doing:

• Research and execute to identify and attract talented technical individuals at all levels.
• Build long standing relationships with sourced candidates to best represent the Motional teams and culture
• Deep dive and cultivate difficult to find talent to join our teams
• Demonstrate expert knowledge of Motional’s roles, focusing on machine learning, software engineering and more technical capabilities.
• Provide a best in class candidate experience as the initial contact. 
• A drive to not only find talent, but create strategic ways to build long standing relationships with those that are not ready to join us today. 
  
  

What we’re looking for:

• 3+ year of relevant sourcing or recruiting experience/working with candidates and clients within Software Engineering functions
• ATS experience (Greenhouse preferred but not required)
• Experience using LinkedIn Recruiter and other sourcing tools.
• Strong ability to screen candidates for interest level and high level details.
• Strategic partner mindset with recruiting and clients
• Excellent communication and interpersonal skills
• BA/BS degree or equivalent practical experience
  
  

It's a bonus if you have:

• Experience sourcing for niche or highly technical roles in the AV industry
  
  

Why You Should Join Us:

• Motional fosters a culture of inclusion and learning. The Talent Acquisition team works in a collaborative based approach to fill an exceptionally high number of roles, in a short amount of time, with only the highest expectations of support and guidance to get the job done as a team. We celebrate the big wins, and we support and help guide/grow when there are losses. We hope you considering joining us on the mission to build and foster a world class organization within Motional.
  
  

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

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Pittsburgh office and requires two in-office days per week, ideally Tuesday and Thursday.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.

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.

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


Mission Summary:

This role directly contributes to Motional’s future in mobility and redefining transportation as a whole. As an AV Testing Operator you’ll be expected to hold safety at the highest level while operating our Autonomous Vehicles (AVs), have a strong attention to detail, outstanding communication practices both verbally and written, and embrace our values as a member of the Motional team. As an AV Testing Operator you’ll be working with new technologies in a fast paced environment being asked to adapt in our ever changing industry.

What You'll Be Doing:

• Safely operate prototype-level Autonomous Vehicles on both defined and undefined routes, including a variety of geographic and environmental conditions
• Operate in-vehicle data recording computers, including start/stop recording, data marking and minor debugging when issues arise
• Provide clear, accurate and useful subjective feedback to the engineering teams on vehicle behavior observed
• Ensure the safe operation of our test vehicles on public roads
• Be able to provide quality service for passengers when applicable
• Able read and understand highway and street signs and all traffic signals
• Able to speak sufficient English in order to speak with public safety officers if necessary
• Maintains current knowledge and adherence to all Motional operating policies, procedures and directives
• Arrives to work on time and with proper driving credentials on his/her person and is ready to work
• Maintains current knowledge and is in compliance with Pittsburgh traffic laws
• Performs pre-trip and post-trip inspection of the Autonomous Vehicle.  This includes conducting an external/internal visual inspection of the vehicle and testing all necessary equipment, operating devices and controls
• Properly care for assigned vehicle and all components as prescribed by the Company
• As needed: Completes accident and incident reports
• Control and manage emergency situations according to company procedures
• Follow all safety policies and procedures
• Able to work in a team environment and drive with another person.  Maintain cooperative behavior towards fellow team members, leads, supervisors, and managers
• Familiar with ride-hailing practices and ability to successfully interact and engage with members of the public
  
  

What We're Looking For:

• Candidates must have and maintain a clean driving record for the previous 3 years and no DUIs for previous 10 years
• Prior experience as an Operator/Driver for Autonomous Vehicles, including some type of internal or external training on
• Autonomous Vehicle technology is preferred
• High school diploma or equivalency
• The position may require some travel
• Experience and training on providing subjective feedback on vehicle behaviors and environment
• Must be able to successfully complete in-house driving course/examination
• Local knowledge in test city of streets, geography and environmental features that may be challenging for Autonomous Vehicles
• Able to work days, nights and weekends
• Must be able to use company communication systems and communicate clearly and effectively both written and verbal
• Must be able to read a map and possess knowledge of the Pittsburgh area
• Minimum of Ten (10) years of overall licensed driving experience
  
  

Bonus Points (not required):

• Basic working-knowledge of Autonomous Vehicle technology
• Experience with NHTSA Levels 2-5 Autonomous Vehicles preferred
  
  

Why you should join us:

• At Motional you’ll be a key member of the Fleet Operations team working on cutting edge technology that will be reshaping mobility. As an AV Testing Operator you’ll have a direct impact on our Autonomous Vehicle (AV) software and vehicle behavior working closely with the engineering teams. Individuals that work best in fast paced environments will thrive at Motional as we are constantly focused on improving our vehicles to deliver the safest transportation to those who need it. 
  
  

Working Conditions:

• Requires the ability to observe near/far/depth and color to safely operate Autonomous Vehicles and computer screens
• Able to be in confined stationary position to operate a vehicle for up to four (4) hours at a time for a total of up to ten (10) hours per day
• Able to be to be a driver and a passenger in an Autonomous Vehicle
• Able to operate grip gear shift, brake release, and steering wheel requiring coupling forces up to ten (10) lbs.
• Reach to either left or right shoulder to pull seat belt across body
• Move around the vehicle at beginning and end of shift for inspection of vehicle
• Will also inspect underneath of vehicle for leaks or damage
• Able to stay awake and alert on shift at all times
  
  

Safety Requirements:

Because interfacing with the public in a confined setting is an essential function of the job, Motional  currently requires those performing this role to be fully vaccinated. Anyone hired into this role should be vaccinated by their start date. Motional is an equal opportunity employer, and will provide reasonable accommodation to those unable to be vaccinated where it is not an undue hardship to the Company to do so as provided under federal, state, and local law.

This position may be required to drive a Motional vehicle such as test cars, commercial cars or pool vehicles. Because of the safety sensitive requirements of this job position, employees will be required to complete a new hire drug test and will be required to undergo random drug testing.

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

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.

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

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

We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.

What You'll Be Doing:

• Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
• Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
• Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
• Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
• Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
• Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
  
  

What We're Looking For:

• 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
• Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
• Proficient with Git and standard version control workflows.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
• Proven ability to work both independently and effectively as part of a multidisciplinary team.
• Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
• Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
  
  

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.

Success Metrics:

• Successful design and implementation of key autonomous vehicle performance metrics.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.
• Timely and accurate delivery of data and insights to AV development teams.
• Contribution to the overall advancement and safety of our autonomous vehicle technology.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!

Physical Demands:

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

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

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

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

Mission Summary:

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

Key Responsibilities:

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

What We’re Looking For:

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

Bonus Points:

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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.

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

Mission Summary:

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

What You’ll Be Doing:

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

What We’re Looking For:

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

Bonus Points:

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

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

Mission Summary:

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

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

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required):

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

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

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

Mission Summary:

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

What You’ll Be Doing:

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

What We’re Looking For:

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

Bonus Points:

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

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

Mission Summary:

The Staff Systems Safety Engineer:

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

Essential Duties:

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

Qualifications:

Educational Requirements

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

Technical / Specialized Knowledge, Skills, Abilities:

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

Physical Demands:

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

Working Environment:

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

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

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

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

Mission Summary:

The SQE position is based at the Pittsburgh Technical Center, Pittsburgh PA, and reports to the Supplier Quality Manager based at the Las Vegas, Nevada Technical Center. Quarterly travel to Supplier manufacturing sites is anticipated (at a minimum). 

The SQE will be responsible for executing the Advanced Product Quality Planning (APQP) process with Suppliers selected for potential Generation 3 activities, in addition to pursuing continuous improvement and warranty reduction for the current Generation 2 build. The role involves conducting Program Reviews against established program milestones and escalating issues as necessary. The individual must ensure the supply base adheres to Motional standards, that quality and manufacturing processes are enabled, and that non-conformances are identified and prevented from proceeding to subsequent manufacturing sites. Prompt reaction to and cross-functional resolution of known non-conformances is required.

What you’ll do:

• Ensure supplier adherence to APQP processes, including product Production Part Approval Process (PPAP) submission and approval requirements.
• Review and approve supplier quality plans (Control Plans, Process Failure Mode and Effects Analysis [PFMEA]) for new components and assemblies essential for vehicle launch.
• Conduct reviews of supplier manufacturing processes and quality management systems.
• Facilitate root cause analysis and the implementation of corrective actions for supplier quality issues.
• Execute on-site supplier visits to conduct root cause analysis and verify the effectiveness of corrective actions related to supplier quality issues.
• Implement and monitor supplier part qualification and certification processes (PPAP, Run at Rate).
• Enhance the quality performance of suppliers through on-site workshops, providing technical assistance in developing robust quality systems, or offering other necessary technical support.
• Provide technical assistance during supplier launch, change-over, and ongoing production activities.
  
  

What We’re Looking For:

• A Bachelor's degree is mandatory. A degree in Engineering (Mechanical, Industrial, Electrical, Manufacturing, Welding, Plastics, Materials, Chemical preferred) or an equivalent Technical Degree such as Applied Mathematics, Chemistry, or Physics is acceptable.
• A minimum of 2 years of experience in quality, engineering, and/or manufacturing is required.
• Proficiency in reading and interpreting engineering drawings, performing part measurements, and understanding gage design and function.
• Demonstrated knowledge of Geometric Dimensioning and Tolerancing (GD&T).
• Proven knowledge of manufacturing and assembly plant processes, procedures, tooling, equipment, and facilities.
• Demonstrated knowledge of probability, statistical quality control, and design of experiments.
• Proven ability to investigate complex quality problems and apply sound technical judgment to develop effective solutions.
• Demonstrated ability to concurrently manage multiple projects and lead diverse cross-functional teams.
• High level of interpersonal skills necessary to work both independently and collaboratively.
• Strong oral, written, and presentation communication skills.
• Ability to travel up to 75% (domestic and international).
• This position necessitates the ability to legally operate a motor vehicle on a regular basis.
  
  

Bonus Points:

• One or more years of Original Equipment Manufacturer (OEM) or Tier 1 experience within automotive quality, manufacturing, or engineering functions, including demonstrated experience and capability in any of the following areas:.
• Statistical Problem Solving (e.g., Red X, Six Sigma, DMAIC).
• Product Engineering.
• Lean Manufacturing and/or Manufacturing Quality.
• Manufacturing, Process, and/or Tool Engineering.
• Quality Systems Planning (APQP), including PPAP.

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

Mission Summary:

Our Component Engineering Team in Pittsburgh is seeking a Senior Hardware Engineer for Radar Components to lead the development of next-generation radar technology powering advanced mobility systems. In this role, you’ll take ownership of radar component design from concept to production, defining requirements, selecting and managing suppliers, integrating systems, driving testing and validation, resolving issues, and ensuring production readiness. 

This is an onsite, hybrid position based in Pittsburgh, PA.

What you'll be doing:

• Lead technical supplier management, coordinating technical activities and project milestones across internal and external stakeholders.
• Compile, define, and maintain complete sets of requirements for radar components.
• Collaborate cross-functionally with Perception, Systems, Mechanical, Vehicle, Manufacturing, Quality, Software, Cybersecurity, Diagnostics, and Reliability teams.
• Develop and support testing for ML-based algorithms, including test design, planning, execution, and data collection.
• Lead radar acceptance, performance, and characterization testing to ensure robust system performance.
• Support and drive vehicle integration efforts for radar systems.
• Conduct root cause analysis and oversee issue resolution to maintain quality and reliability.
• Lead continuous improvement projects focused on radar components and processes.

What we're looking for:

• Deep understanding of radar hardware, radar DSP, and radar testing and performance.
• Proven experience developing automotive radar components and radar system design.
• 5+ years of experience in the automotive or a related industry.
• Experience with multi-domain controllers, secure gateways, or ADAS controller development.
• Comfortable debugging, disassembling, modifying, and installing electrical and mechanical systems in vehicles.
• Strong ability to operate within rigid design, integration, and time constraints.
• Basic knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.).
• Strong communication skills with the ability to collaborate globally across teams and levels to drive project success.
• Self-motivated, organized, and flexible individual with the ability to balance and prioritize multiple diverse projects.
• Creative and resourceful problem-solver who ensures quality results independently and in teams.
• Hands-on vehicle integration experience, including wiring harnesses and packaging, is preferred.
• Bachelor’s degree in Engineering (STEM) or a related field.

This position may require the use of power tools, as defined by OSHA (electric, pneumatic, liquid fuel, hydraulic, or powder-actuated tools). While performing job duties, employees may be required to convey and detect communication, remain stationary for up to 50% of the time, move within designated areas, and operate office equipment. The role may occasionally involve moving objects up to 50 pounds.

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

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

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

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

What you’ll be doing:

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

What We’re Looking for:

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

Bonus Points:

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

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary

You will be responsible for power and signal distribution design for Autonomous Vehicles. We are looking for someone who is proficient in hardware design life cycle, comfortable working in a high paced environment, and someone who can adapt quickly.  You will work cross functionally to gather details required for proper connections, generate system diagrams, electrical schematics, wiring harness diagrams, and assist with assembly and build documentation. You will also create detailed component and system qualification, validation test plans, and perform & oversee testing. 

We are looking for a detail-oriented problem-solver, able to employ critical thinking and time management skills and can work effectively both independently and in teams. Work with people of diverse backgrounds and develop creative and innovative ways to improve processes.

The Motional 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.

What you'll be doing:

• Quickly gain a deep understanding of system architecture and specifications to implement the detailed electrical design of the AV system into a vehicle platform.
• Work within an interdisciplinary team to troubleshoot, test, and fix electrical and system issues in prototype vehicles and test fixtures.
• Support product design reviews.
• Review internal and external requirements and specification documentation.
• Perform worst case analysis and simulation to ensure compliance to system requirements.
• Generate system diagrams, electrical schematics, wiring harness diagrams, and assist with assembly and build documentation.
• Create detailed component and system qualification and validation test plans and perform / oversee testing.
• Support EMC certification testing and develop and maintain electrical DFMEA.
• Utilize structured problem-solving techniques for test failure resolution.

What we're looking for:

• 6+ years of experience in electrical engineering.
• Ability to read and interpret schematics and assembly drawings.
• Lab equipment experience with power supplies, oscilloscopes function generators and multimeters.
• Familiarity with wire harness design process and software tools to help EE team design vehicle power and signal distribution
• Ability to multitask across various project activities and work with a global team.
• Ability to provide hands-on debugging as needed during testing and evaluation.
• Experience with other vehicle communication networks (CAN, CAN-FD, Automotive Ethernet, LIN).
• Strong troubleshooting and debugging skills.
• Bachelor’s degree or higher in Electrical Engineering

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.

This role is based in our Pittsburgh office and requires 5 in-office days each week.

Mission Summary:

As a Senior PLM/PDM Engineer, you will ensure Motional’s PLM/PDM systems and engineering toolchains operate smoothly and reliably. You will be the go-to expert for resolving and escalating issues related to CAD tools, data management, and PLM–ERP connectivity. You’ll work cross-functionally with engineering, design, operations, and supplier teams to support day-to-day development activities while driving continuous improvement in processes and documentation.

What you’ll do:

• Ensure CAD tools, PLM/PDM systems, and engineering applications function properly; investigate, resolve, or escalate issues as needed.
• Develop and maintain documentation standards for the Hardware Engineering organization.
• Create and update CAD parts, assemblies, and libraries—including vehicle assemblies and vendor-provided models.
• Generate detailed 2D drawings (detail, section, assembly) following drafting standards and GD&T best practices.
• Support product development, sustainment initiatives, and internal department projects.
• Collaborate with designers, engineers, and technicians to ensure engineering documents and drawings are complete, accurate, and consistent.
• Perform drawing checks and manage engineering change orders (ECO/CO), including BOM updates and routing.
• Manage file structures, metadata, references, and overall CAD data organization.
• Troubleshoot and resolve CAD-related issues across the organization.
• Create, maintain, and manage Bills of Materials (BOMs).
• Maintain and organize the CAD library to support scalable design workflows.
• Work closely with internal and external fabrication teams to support design release, scheduling, and installation on vehicles or hardware systems.
  
  

What We’re Looking For:

• Strong understanding of mechanical drawings and electrical schematics.
• Experience with CAD data management systems; CATIA V5 and SolidWorks strongly preferred.
• Minimum 3 years of hands-on experience with 3D CAD tools (preferably CATIA V5 or SolidWorks).
• Skilled in developing 2D layouts in CATIA or SolidWorks.
• Solid working knowledge of GD&T principles.
• Experience with PLM tools, ideally PTC Windchill.
• Deep understanding of automotive and consumer-electronics connection systems.
• Ownership mindset with the ability to drive the CAD documentation process end-to-end—from design and release through fabrication, installation, schedule coordination, and change management.
• Strong communication and collaboration skills, with the ability to work proactively across global, cross-functional teams.
• Excellent planning, organization, and attention to detail.
• Proficiency with Microsoft Word/Excel or Google Docs/Sheets.
• Experience with Jira, QuickBase, NetSuite, or Zip is a plus.
• Strong work ethic and ability to support production schedules and team priorities.
• Ability to multitask across multiple projects and timelines.
• Bachelor’s degree in Mechanical Engineering or equivalent industry experience with a proven ability to apply engineering principles in real-world applications.

Mission Summary:

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

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

What You'll Do:

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

What We're Looking For:

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

Bonus Points (Nice-to-Haves):

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

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

Mission Summary:

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

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

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

What you’ll be doing:

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

What We’re Looking for:

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

Bonus Points:

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

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

What You’ll Be Doing:

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

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

What We’re Looking For:

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

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

Bonus Points

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

Working Conditions

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

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

The employee may occasionally move up to 50 pounds

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, SciPy, and related data analysis frameworks.
• Experience in machine learning, data mining, and statistical analysis.
• Experience with large-scale data processing and distributed computing technologies.
• Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

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

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

What You’ll Be Doing:

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

What We’re Looking for:

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

Bonus Points:

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

Motional’s global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions.

Mission Summary:

Motional’s CORE team is responsible for our vehicle’s Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. 

The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. 

What You’ll Be Doing:

As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. 

Specifically, you will:

• Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms.
• Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. 
• Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures.
• Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.
• Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system.
• Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack.
• Advise peers and management on technical matters.

What We’re Looking For:

• Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies.
• Strong experience with modern C++ development in a Linux environment.
• Experience with parallel and high-performance computing.
• Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. 
• A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience.

Preferred, but not required:

• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
• Experience with embedded systems development for ARM-based system-on-chip architectures.
• Experience working in a MLOps or DevOps environment.
• Passion for self-driving technology and its potential for positive impact on the world.
  
  

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

Tech Lead Manager, Planning

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

Role responsibilities:

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

What we're looking for:

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

Skills appreciated

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

Mission:

We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do: 

• Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
• Drive innovation by researching and developing new large scale data warehousing and analysis.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.
• Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
• Manage project timelines, resources, and deliverables to ensure successful project execution.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Excellent leadership, communication, and problem-solving skills.
• Proven record leading a small diverse dedicated team supporting a large user base.
• Experience in machine learning, data mining, and statistical analysis.
• Proven experience in developing and deploying large scale cloud frameworks.
• Strong programming skills in Python.
• Experience with large-scale data processing and distributed computing technologies.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

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

What You’ll Be Doing:

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

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

What We’re Looking For:

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

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

Bonus Points

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

Working Conditions

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

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

The employee may occasionally move up to 50 pounds

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

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

In this role, you will

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

 Required Qualifications

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

 Desirable Qualifications

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

The base salary range for this position is $72,000 - $116,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JM3

#Associate

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

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

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

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

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

In this role you will

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

Required qualifications

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

Desirable qualifications

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

 #LI- #Mid-Senior 

The base salary range for this position is  $146,000 - $234,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

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

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

In this role, you will:

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

Required qualifications:

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

Desirable Qualifications:

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

The base salary range for this position is $191,000 - $306,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-Staff

About ITS Logistics

Are you ready to unleash your potential and be a part of one of the fastest growing, exciting, logistics companies in the US? ITS Logistics is a premier Third-Party Logistics company that provides creative supply chain solutions.  With the- highest level of service, unmatched industry experience and work ethic, and a laser focus on innovation and technology–our purpose is to improve the quality of life by delivering excellence in everything we do.

At ITS, we invest in your personal and professional growth, providing the tools, resources, and support you need to unleash your full potential, collaborate with like-minded teammates, and seize limitless opportunities. By joining our all-star team, you will be part of an organization that values your unique skills, encourages your drive for excellence, and recognizes your unwavering commitment to achieving our shared goals.

We empower our team members to become champions in their respective fields by nurturing a culture of collaboration, competition, and unyielding resilience. We believe that together, we can conquer any challenge and achieve remarkable victories.

Want to learn more about ITS Logistics?  Check out our website!  www.its4logistics.com

Position Summary

ITS has an immediate opening for a Warehouse General Manager at our newest facility located near Harrisburg, PA. This position reports to ITS’ Sr. Director of Operations and is responsible for overseeing all aspects of warehouse operations as it pertains to people management, inventory integrity, order fulfillment and the movement of goods in and out of the distribution center.

Principle Accountabilities

• Responsible for oversight of all functions in the Distribution Center
• Supports all human resource related activities, including but not limited to, sourcing and staffing of positions, performance management, compensation administration, and training and development
• Create a culture that promotes ITS’ shared values and supports positive employee relations
• Monitor activities of work teams to ensure that safe practices are in place and being demonstrated. Monitor building to ensure that proper housekeeping is being practiced. Give guidance to safety committee
• Work directly with clients to effectively plan and forecast future business activity
  1. Utilize WMS to develop reliable forecasts
  2. Build an understanding of customer’s needs so that ITS can plan accordingly
• Work with sales to identify cross-selling opportunities with existing clients
• Own the client / customer relationship. What does this mean?
  1. Ensure the customer’s experience with ITS exceeds their expectations
  2. Ensure that all activities performed by ITS on the customer’s behalf are value added
  3. Ensure we’re always prepared in the event of a review and that we follow up on all findings
• Ensure the facility and grounds are maintained to ITS standards
  1. Develop a preventative maintenance program for the facility
  2. Ensure space utilization plans are in place and that they provide a safe and productive use of the space and proper segregation of incompatible and non-conforming product
• Own your P&L along with monitoring and operating capital budgeting
  1. Take an active role in the budgeting process, through planning and creation
  2. Maintain Capex activities that are in line with P&L
  3. Assess operations through cost-based decision making and regular planning & analysis activities
• Review and evaluate operational performance, address performance gaps, and take corrective action, as needed, to ensure each functional area is delivering on operating goals
• Lead all organizational development efforts including but not limited to recruiting, skill and leadership development and performance management
• Coordinate and execute programs focused on continuous process improvement throughout the facility
• Take ownership of the new customer implementation process. Activities include but are not limited to:
  1. Collaborate with sales team to develop and implement a customer startup plan
  2. Work closely with Fleet Operations to ensure a smooth start up process with proper transportation support
  3. Work with IT to facilitate a smooth technical start up (WMS, TMS, EDI, small parcel, etc.).
  4. Partner with engineering team to optimize layout, handling process, and operational procedures

Position Requirements

The ideal candidate will possess a demonstrated record of accomplishment in people and operations leadership, preferably in a 3PL environment.

Additional requirements include:

• Bachelor's Degree preferred
• Five to Seven years’ general leadership experience, with demonstrated ability to support a broad range of warehouse personnel, thoroughly embracing principles that guide positive employee relations
• Ability to effectively navigate through complex situations, both internal and external, that may require multiple decision makers.
• Demonstrated experience in customer relations and the ability to foster customer-centric thinking throughout the organization
• Working knowledge of computers and programs specific to operations and operations reporting, including experience with WMS systems and MS Office (Excel, MS Word). Advanced project management and data analysis experience a plus.
• Solid financial acumen – experience with the planning, building and analysis/execution of budgets
• Thorough knowledge of warehouse safety and security practices
• Ability to work with a high degree of autonomy and drive results through Company and contract employees

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 Product Designer to join Aurora’s Operations Experience Product Design Team. This role reports directly to the Design Lead for Aurora Operations Experience. We are hiring for this position to own the design of the Command Center overseer experience, focusing specifically on the high-stakes tools and workflows required to monitor and manage autonomous truck activity on the road.

As we scale our fleet of self-driving trucks and expand our network, this role offers a rare opportunity to establish the interaction patterns that will set industry standards for how autonomous systems surface information to oversight teams in complex, real-world environments.

In this role you will

• Own the end-to-end design for the Command Center overseer experience, ensuring supervisors have the clarity and tools needed to monitor real-time truck activity safely and efficiently
• Identify and solve the highest priority pain points for operations leads in their monitoring and intervention workflows
• Create high-fidelity prototypes in Figma to model and evaluate how the Aurora Driver communicates its status and intentions to the Command Center across digital touchpoints
• Work closely with cross-functional partners in engineering and product to define, explore, and ship solutions that support the efficient operation of our fleet
• Influence strategic direction by presenting design rationale to leadership and contributing new processes back to the broader design studio culture

Required qualifications

• 8+ years of experience in product design, with a track record of leading complex, multi-workstream projects
• A portfolio of exceptional product design and craft
• Experience designing operational tools, dashboards, or workflow management systems
• Strong interaction design skills with a high bar for visual design
• Ability to translate complex, evolving information architectures into intuitive and functional user experiencesAbility to manage multiple workstreams and drive cross-functional alignment with minimal support, identifying problems others might miss

Desirable qualifications

• Experience designing for high-complexity, high-stakes environments (e.g., autonomous vehicles, aviation, logistics, or medical systems) where safety is paramount
• Experience with advanced prototyping techniques, including the use of generative AI tools or coded prototypes to test complex system behaviors
• Beautiful visual design work
• Proficiency in leading research initiatives in technical environments and translating findings into interaction models, service blueprints, and user interfaces

The base salary range for this position is $139-$201K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

#Mid-Senior

Aurora hires talented people with diverse backgrounds who are excited about building the future of transportation that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient & accessible for all. We are searching for an exceptional Staff-level Backend Software Engineer to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

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

As a Staff Backend Software Engineer you will join a team which builds solutions for autonomous vehicle terminal operations: launching and landing vehicles at locations owned by Aurora and its largest customers. You will add new features to existing products and greenfield completely new ones. Your contributions will have a significant impact on the way terminal operations function at Aurora.

In this role, you will

• Design complex systems from the ground up, working closely with software, hardware, and infrastructure engineering teams along with other stakeholder teams within Aurora.
• Embrace AI tools to add new features which delight our users, along with improving frontend, backend, and onboard engineering efficiency.
• Build backend services running in Aurora’s AWS cloud used to monitor and manage the location and activity of our entire autonomous fleet.
• Establish technology and infrastructure to scale our products with high availability and reliability.
• Collaborate with stakeholders including Security, Product, Design, Safety, and Cloud Platform to achieve company milestones.
• Send suggestions and receive updates from vehicles in real time in order to ensure the safe operation of Aurora’s autonomous fleet.
• Contribute to and evolve our team culture around mentorship, feedback, collaboration, and engineering excellence.

You will be a good fit if you have

• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.
• The drive to make teams stronger. You're excited to work hard and fast to the finish line on new opportunities with a collaborative and integrated team. You will be proactive in engaging conflict with openness, patience and kindness in an environment where it is safe to lean on each other and learn from failures.
• Motivation to own the product lifecycle end to end. You’re happy to engage with our product and design teams and our internal customers to understand their needs and find ways to meet them. You ensure that product development stays on course all the way through release and post-release support.
• Strong backend service engineering skills. We use modern technologies to build our products including Golang, Python, C++, gRPC, Kubernetes, and AWS. We’re happy to help you learn and adapt to our stack.
• Experience working with databases and caches such as Postgres and Redis.
• Bachelor’s or Master’s Degree in Computer Science or a related field.
• 6+ years of industry experience with a  focus on high-availability cloud services.

Desirable experience

• Experience taking a SaaS development project into production at scale.
• Experience building gRPC services using Golang.
• Experience with IoT devices and Over-the-Air communication.
• Experience with Kubernetes, including service configuration, monitoring and deployment.
• Experience with cloud environments such as AWS, Google Cloud, or Azure.
• Experience with fleet management solutions for robots, vehicles, or aerial drones.
• Experience with external customer facing software including production rollout with real customers.

The base range for this position is $171,000 - $273,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-WS1 #Senior 

What we are looking for

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

We’re searching for a Software Engineer II to join the Control Simulation team and help transform how we validate and improve the safety and performance of the Aurora Driver.

In this role, you will operate at the intersection of Machine Learning, Software Engineering, Data Science, and Vehicle Dynamics. You will contribute to the development of our next-generation data driven vehicle simulator, build data pipelines that source critical scenarios from our fleet and generate simulations from logs, and analyze data to prove the safety of our motion control software.

This is a high-impact role for an engineer who enjoys a mix of model development, infrastructure building, and data analysis.

In This Role You Will:

• Develop Vehicle Models: Help design and implement our next-generation differentiable vehicle dynamics simulator for controls V&V.
• Build Simulation Pipelines: Design and maintain the software pipelines required to generate "Sim-from-Log" scenarios. You will ensure that high-value on-road events are systematically converted into reproducible simulation tests.
• Implement Control Scenario Taxonomies & Curate Data: Build the data structures and algorithms to categorize complex control scenarios (e.g., maneuvers, environments) and use this framework to source balanced datasets from on-road logs, ensuring comprehensive ODD coverage for model training.

Required Qualifications:

• BS or MS in Computer Science, Robotics, Data Science, or a related engineering field.
• 2+ years of software engineering experience with a focus on data-intensive applications or machine learning.
• Strong proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn).
• Hands-on experience with PyTorch or similar machine learning frameworks.
• Experience working with large datasets, SQL, and data processing pipelines.
• Strong analytical skills with the ability to translate complex data into actionable engineering insights.
• Background or interest in Control Theory or Vehicle Dynamics (understanding of kinematics, kinetics, and actuation).

Desirable Qualifications:

• Experience with machine learning or system identification for physics based-models.
• Familiarity with V&V methodologies, simulation frameworks, or log analysis tools.
• Experience building data visualization tools or dashboards to track software quality and coverage.
• Proficiency in C++ (necessary for integrating with on-vehicle or production codebases).

The base salary range for this position is $126,000-$181,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-KW1

#Associate