This position is looking for a highly motivated flight test engineer, and test lead with emphasis in developmental test of a new and revolutionary Group 5 UAS. You will work heavily with the program leadership and a wide spectrum of cross-departments to help build a team focused on solving hard problems and changing the industry forever. The role will be responsible for assisting on planning, coordination, execution and reporting on all facets of the test program.

The Test and Evaluation team at Anduril works across the entire spectrum of products and business lines, as well as all flight operations and test range management. Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more. In short, if it involves test, we support it. If you are interested in working in an extremely innovative and fast paced environment, where your work directly makes an impact and difference in the products that are fielded this a fantastic opportunity.

WHAT YOU’LL DO

• As a lead Flight Test Engineer, under minimal supervision, you will determine, develop and recommend various approaches to achieve T&E goals set by Anduril T&E and Program leadership. You will manage, guide, and execute technical efforts of the Fury development test program. You will provide direct input to test event planning, preparation, execution and reporting.
• This position will focus heavily on new aircraft development, with emphasis on envelope expansion, flying qualities, vehicle autonomy, and test in operational environments.
• You will be responsible for ensuring comprehensive flight test campaign execution of multiple test articles in support of high-risk test events.
• Test duties include the testing hardware and software in laboratory, ground and flight test environments, with emphasis placed on resource planning. You will be expected to seek process improvements to increase test efficiency across all test environments.
• You will be directly responsible for supporting test execution at government test facilities with USG partners.
• You will facilitate and lead the technical interactions between disparate engineering teams. You will coordinate across the members of T&E IPT, including Flight Operations and Maintenance.
• You will directly contribute to periodic and milestone engineering reviews, often facilitating technical discussions between Anduril and customer representatives.
• Faced with numerous technical and execution challenges, you will be expected to develop creative solutions to unique problems. You will be biased for action — you are empowered to engage your team to solve and fix any problem you encounter without direct supervision.
• You will be part of an organization that challenges traditional T&E paradigms and is poised to affect the trajectory of the flight test industry.

REQUIRED QUALIFICATIONS

• 10+ years of experience as test conductor/director for developmental aircraft, weapons, or missile systems.
• A bachelor's degree or a related technical discipline from an accredited institution. May substitute equivalent engineering experience in lieu of education.
• Test engineering experience working with developmental systems of manned and/or unmanned aircraft to include requirements development, test planning and execution, and test reporting.
• Must have a complete understanding of Test & Evaluation engineering concepts, principles, codes, and theory; with experience demonstrating a broad application of those areas. This includes experience working across program Integrated Product Teams to influence system design or configuration.
• Previous experience with and current working knowledge of DCMA INST 8210, MIL-STD-516, 14 CFR, and service related T&E guiding documents. Foundational expertise and working knowledge of the National Airspace System, government restricted airspace and UAS operating rules and regulations thereof.
• Prior experience conducting development flight test operations at military ranges.
• Must possess the ability to understand new concepts quickly; apply them accurately; organize, schedule, and coordinate work phases; and determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.
• Strong computer and documentation experience.
• Must have strong communication (written and verbal) and interpersonal skills.
• Ability to work independently and as part of a team; able to perform complex tasks in one or more engineering areas.
• Experience with large aircraft development and working with the Department of Defense (DoD)
• Able to work extended hours as required.
• Ability to travel as required for test planning and execution
• Ability to immediately obtain a U.S. Top Secret-Level security clearance.

PREFERRED QUALIFICATIONS

• 15+ years experience in Test & Evaluation, or related technical fields.
• Previously held a role as the Flight Test Engineering Lead
• Been a part of the first flight of a developmental aircraft, or major aircraft system.
• Bias for action – if you see a problem, you want to solve and fix it
• Experience managing individuals or teams of multiple individuals
• Experience with large UAS development
• Previous experience working within a Combined Test Force or equivalent

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.

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.

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.

At Anduril we are developing unmanned aerial systems capable of terminal guidance, long range intelligence collection, precision relative and global navigation, and unsupervised autonomy. The Test and Evaluation team works across the entire spectrum of products ranging from Lattice Ghost UAS, Sentry Tower, cUAS, missile, Fury and many of our other platforms.

As a Group 5 Test Pilot, you will support the development and field testing of Anduril’s largest and most powerful Unmanned Aerial System products. In this role, you will prepare aircraft for flight, conduct flight tests as the test pilot, and support the test engineering team throughout the lifecycle of the developmental aircraft.

WHAT YOU’LL DO

• Collaborate closely with Flight Test Engineers and Discipline Engineers to develop safe, effective, and efficient test procedures, evaluate system and test safety, and verify the functional design of the system.
• Participate in ground and flight testing of developmental aircraft to determine compliance with specifications, validate airworthiness, and assess operational suitability.
• Assist in developing system test procedures and engage in laboratory and surrogate open-air environment testing.
• Serve as a guiding member within the Test and Evaluation team, regularly interfacing with the T&E lead, T&E Technical Director, Chief Test Pilot, Lead Flight Test Engineer, and customer representatives.
• Take direct responsibility for the safe flight of the aircraft and act as an advisor during safety reviews, design reviews, and airworthiness reviews.
• Expand the mission envelope by pushing the boundaries of safe and normal flight.
• Support Fury flight tests as a surrogate and chase pilot, flying high-performance jet aircraft in demanding roles including photo/video, air data pacer, and safety chase across the flight envelope.
• Participate in flight operations and help direct the flight test program.
• Collaborate with other test pilots to approve control station configurations, author flight procedures, develop and verify emergency procedures, and support test team and control room training.
• Review test procedures, flight test plans, flight test cards, operating limitations, flight test schedules, support documents, and ground handling documents in preparation for ground and flight testing.
• Attend system design and configuration control meetings, providing input to resolve change requests and determining change priority, timelines, and test verification requirements leading up to software releases and aircraft block changes.
• Develop creative solutions to technical and execution challenges, acting with a bias for action and engaging your team to solve problems efficiently.

REQUIRED QUALIFICATIONS

• Graduate of a U.S. military test pilot school (TPS) or meet DCMAINST 8210.1 series alternate education and experience qualifications for contractor UA pilot/operator.
• 5+ years experience as a Group 5 UAV pilot.
• 2,000 hours Pilot-in-Command time or 500 hours in unmanned aircraft.
• Qualifying hours must include 200 hours Pilot-in-Command during engineering flight test and 10 hours during experimental flight test.
• Commercial pilot certificate with instrument rating.
• FAA Class 2 Medical, renewed annually.
• One of the following education and experience combinations:
• Undergraduate or higher degree in aerospace-related engineering or scientific discipline plus one year of applicable engineering test flight experience.
• Undergraduate or higher degree in other engineering or scientific discipline plus two years of applicable engineering test flight experience.
• Non-engineering undergraduate or higher degree plus three years of applicable engineering test flight experience.
• No degree plus four years of applicable engineering test flight experience.
• Ability to travel as required to support off-site aircraft testing.
• Strong ability to quickly understand new concepts, apply them accurately, organize, schedule, and coordinate work phases, and determine appropriate approaches to complex problems.
• Excellent written and verbal communication and interpersonal skills, especially regarding technical subjects and authoring technical documents supporting safe aircraft operation.
• Experience authoring flight manuals and technical documentation necessary to operate developmental aircraft and delivering configuration-controlled publications to customers.
• Proficiency with basic MS Office tools (Word, PowerPoint, Excel).
• Ability to work independently and as part of a team; capable of performing complex tasks.
• Willingness to work extended and irregular hours.
• Ability to obtain and maintain a U.S. TS/SCI security clearance.

PREFERRED QUALIFICATIONS

• 10+ years experience as a Group 5 UAV pilot working with developmental aircraft.
• 2,000 hours Pilot-in-Command time or 500 hours in unmanned aircraft.
• ATP certificate with Class 1 medical.
• Certified Flight Instructor / Instrument.

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.

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.

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.

The application window will be open until at least April 24, 2026 . This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

This role is part of the Growth department on the Digital team. You'll collaborate with ad operations and growth specialists to deliver web, app, and media analytics to key stakeholders. The Growth team works across departments—including sales, marketing, brand, and product—to identify new opportunities and test strategies to drive revenue and improve the customer experience with GFiber’s products.

Role Description

As the Marketing Web Developer you will be the technical lead responsible for managing GFiber’s websites and integration points, supporting digital marketing and sales efforts. You’ll lead, organize, and manage program activities that drive business outcomes while developing systems to proactively identify improvements and drive future optimizations including change management and performance metrics. You'll oversee content management systems, A/B testing tools, and tracking implementations, ensuring smooth operations and optimal performance. Collaboration with cross-functional teams will be key in driving our analytics, marketing, and growth initiatives.

In this role, you'll:

• Engineer and maintain the GFiber web architecture, writing clean, scalable code to integrate marketing technology stacks and third-party services. 
• Implement and manage tools for content management, knowledge management, A/B testing, tracking, and services integration.
• Create technical design documents for new website features and integrations.
• Manage user access, roles, and responsibilities for web tools like Contentful, Optimizely, and KMS Lighthouse.
• Support change requests, issue management, and day-to-day updates related to website content and services, and also align with stakeholders on decisions and changing circumstances.

At a minimum we'd like you to have:

• Bachelor's degree in Digital Marketing, Computer Science, or related fields—or equivalent practical experience.
• 4 years' experience building high-traffic marketing websites and scalable web systems using React, Typescript and JavaScript.
• Experience with A/B testing tools (e.g. Optimizely, Optimize, Test and Target) and experiment configuration.
• Experience implementing and leveraging analytics, tracking and data warehouse platforms (e.g., Google Analytics 4, Google Tag Manager, BigQuery).

It's preferred if you have:

• Experience with headless Content Management Systems (e.g. Contentful, Sanity).
• Experience with ad-tech integrations and custom tracking pipelines for Google Ads and Campaign Manager, ensuring accurate reporting and data attribution for high-traffic marketing sites via API. 
• Experience with AI tools coding tools and LLM technologiesExperience using written and verbal communication to convey technical requirements to both technical and non-technical stakeholders.
• Experience with Python and back-end integrations to support large-scale consumer traffic.

The US base salary range for this full-time position is between $132,800 - $175,100 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

Software Engineer, Senior

Shift4 is expanding globally and we are looking for a key software developer to join our innovative Software Engineering team! This opportunity involves designing, developing and deploying Shift4’s Commerce Engine payment solution that delivers a modern and integrated payment processing experience at Retail, Restaurant, and Hotel merchants.

The focal point of the solution consists of well-designed and highly functional business apps deployed on custom payment hardware. We have an ambitious product roadmap for this platform and are looking to expand the team with the best and brightest to ensure we continue to drive the industry with our innovative solutions and change the basis of competition.

This role is onsite and can be based at either of the following Shift4 locations:  Las Vegas, NV, U.S.A. or Vancouver, BC, Canada

Relocation assistance may be available. 

Responsibilities

• Translate high-level requirements to actionable tasks and deliverables.
• Contribute to architecture and design in a multiplatform ecosystem.
•  Design and build distributed software services for transaction processing.
•  Produce high quality software that is unit tested, code reviewed, and continuously integrated.
•  Collaborate with the Quality assurance team in test planning and test coverage.
•  Collaborate with DevOps and CI/CD in operational visibility, triaging incidents, and deployment planning.
• A disciplined approach to development, code review, testing, documentation and code structure in a team environment.
• Actively participate in growing and coaching fellow team members.
• Understand future business goals from Product Owners and make sure architecture and system design can support those goals.
• Build proof-of-concepts to validate architectural and design choices and evangelize those technical choices to other teams.
• Able to understand, diagnose and then solve deep technical and performance issues across the product.
• Provide development support to resolve any issues with technical systems and applications.

Qualifications

• 5+ years of Software Engineering experience in Coding, Designing and Developing software.
• Proficient in C and exposure to Object Oriented languages like C++, Java, Python or Kotlin.
• Adept in gathering and interpreting requirements, translating requirements into system definitions and solutions and creating detailed documentation.
• Ability to write modular, maintainable code with unit tests ensuring complete code coverage and adhering to coding standards.
• Troubleshoot and resolve complex issues in embedded systems to debug and optimize system performance.
• Experience with Code repository management, code merge and quality checks, continuous integration and automated deployment and management using tools like Jenkins, Git.
• Experience working in an agile environment and familiarity with Jira, Confluence etc.
• Excellent communication skills and a quick problem solver.
• Bachelor's degree in Computer Science, Software Engineering or equivalent. Experience in lieu of a degree may be considered. 

Preferred Skills:

• Previous experience in the cards and payments industry is positive but not mandatory.
• Expertise around Point of Sale, Payment SDKs, and POS hardware experience is a big plus.

#LI-BN1

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.

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.

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.

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.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

We are seeking a motivated Test Control Engineer to join our Team. In this strong intermediate level role, you will take full ownership of assigned tasks within defined test execution procedures and support the broader Test Engineering team in validating sophisticated autonomous systems. Working under the guidance of senior engineers, you will ensure our vehicles and systems are mission-ready through rigorous readiness checks, real-time monitoring, and low-level subsystem validation.

Key Responsibilities:

• Test Execution & Readiness: Take full ownership of assigned tasks within defined test procedures, including specific checklist items and system monitoring. Perform all pre- and post-test readiness checks completely, accurately, and on time. 
• Set up, configure, and operate AB Dynamics systems (GST, Launchpad), including target preparation and robot operation.
• Execute structured scenario-based testing using track infrastructure and robotic platforms.
• Subsystem Validation: Execute and support fault injection and low-level control testing for critical subsystems, including actuator-level behavior (throttle, brake, steering) against expected control responses and safety constraints.
• System Monitoring: Provide timely and accurate real-time monitoring of assigned system statuses during testing to ensure safe and successful execution.
• Technical Support: Execute basic configuration and setup of instrumentation and telemetry. Assist in on-vehicle and off-vehicle tests focusing on critical components such as control systems and perception.
• Utilize Vector tools (CANalyzer/CANoe) for live debugging, signal tracing, and post-test analysis.
• Documentation & Triage: Maintain accurate, organized, and complete logs of all test activities. 
• Analyze vehicle logs (CAN, telemetry, system logs) to identify anomalies and support root cause analysis (RCA).
• Collaborate directly with developers to reproduce issues and validate fixes.
• Issue Escalation: Promptly and clearly escalate all anomalies or issues to a senior engineer immediately upon detection.
• Simulation Support: Support testing within virtual environments, including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) platforms.
  
  

Qualifications:

• Technical Proficiency: Proficiency with laptop computers, GSuite apps, and touchscreen smartphones. Strong familiarity with Linux environments and a general understanding of low-level vehicle control systems.
• Hardware & Tools: Basic exposure to automotive communication protocols (CAN, LIN, Ethernet) and tools like CANalyzer or CANoe for bus-level debugging.
• Programming & Data: Basic exposure to scripting languages such as Python, Bash/Shell, or SQL. Ability to analyze logs to assess system behavior.
• Communication: Proactive communicator who raises issues early and clearly with minimal prompting. Demonstrated ability to operate as a self-starter in fast-paced, ambiguous environments.
• Professionalism: Punctual, reliable, and a strong team player who works cooperatively as a supportive member of the test execution team.
• Operational Requirements: Must be able to safely maneuver around autonomous vehicles and multitask with various technologies. Ability to work flexible shifts (mornings, evenings, weekends, or overnights) and travel up to 15% with short notice. Hands-on work at test track environments is a core part of this role. Comfortable working around vehicles, hardware, and test equipment daily.
• Physical Demands: Must be able to sit for extended periods and occasionally lift or move up to 50 pounds. Must be comfortable working outdoors in various weather conditions.
• Driver’s License: A valid driver's license is required.
  
  

Preferred Qualifications:

• General awareness of industry safety standards such as ISO 26262 and ISO 21448 (SOTIF).
• Experience with automated test case execution.
• Experience with track-based testing using robotics platforms.
• Experience testing low-level vehicle control systems (body-controls, braking, steering)
  
  

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.

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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 Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology and commercial operations platform through rigorous, system-level testing. Motional is seeking a highly skilled and motivated Senior Automation Test Engineer to join our AV Test Engineering team. In this role, you will lead the design, development, and execution of backend and frontend automation frameworks for our fleet operations platform — the operational backbone of our commercial robotaxi service. You will also lead and mentor a fellow automation engineer, driving best practices and continuous improvement across the team.

What you'll work on:

• Own the architecture, development, and maintenance of scalable backend and frontend test automation frameworks for a fleet operations platform, with a primary focus on backend API and service-level validation.
• Design and execute comprehensive automated test suites covering backend services, APIs, and data pipelines, as well as frontend UI workflows within the operations platform.
• Lead integration testing efforts for third-party APIs and internal services, ensuring reliable end-to-end data flow across fleet management, dispatching, and monitoring systems.
• Develop automation solutions primarily in Python and Go for backend testing, and JavaScript for frontend validation, while proactively adopting new tools and frameworks as the platform evolves.
• Lead, mentor, and collaborate with one automation test engineer, providing technical guidance, code reviews, and support for professional development.
• Partner closely with software engineers and product teams to define test strategies, identify coverage gaps, and establish quality gates within CI/CD pipelines.
• Conduct root-cause analysis on test failures and system defects, driving resolution across backend services and frontend interfaces.
• Contribute to documentation, test plans, and operational frameworks that bring clarity and transparency to the automation testing process for all stakeholders.
  
  

What we're looking for:

• 5+ years in software QA or test automation, with a strong emphasis on backend and API testing.
• Bachelor's degree or higher in Engineering, Computer Science, or a related technical field.
• Technical Expertise:
• Hands-on proficiency in Python and Go for backend test automation, and JavaScript for frontend automation.
• Demonstrated experience designing and building automation frameworks from the ground up for complex, distributed systems.
• Experience with REST/gRPC API testing, service integration validation, and data pipeline verification.
• Experience with CI/CD pipelines and integrating automated quality gates for production-grade software releases.
• Proven ability to lead technical efforts, operate autonomously, and drive cross-functional collaboration.
• Ability and willingness to quickly learn new tools, frameworks, and technologies as the platform and stack evolve.
  
  

Bonus points:

• Experience with autonomous vehicle fleet monitoring, dispatching, or fleet management systems.
• Experience with Uber API or similar ride-hail/transportation platform integration testing.
• Familiarity with cloud telemetry systems or AV data pipelines.
• Experience in a cross-site or global engineering organization.
• Master's degree in a relevant field.

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

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As an AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

Motional is seeking a highly skilled and motivated Senior/Mid-Level AV Test Engineer to join our AV Test Engineering team. You will play a lead role in validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing across virtual, closed-course, and public road environments, with a direct focus on commercial readiness of our robotaxi service.

This role requires a proven technical leader who can guide test development, drive continuous improvements to our infrastructure, and ensure high standards for release readiness and safety assurance as we move towards mass deployment.

What you'll work on:

• Own the planning, design, and execution of comprehensive validation campaigns across Perception, Planning, and Control systems using simulation, SIL, HIL, and on-vehicle environments, specifically targeting scenarios critical for robotaxi service reliability and rider experience.
• Drive test execution and documentation to meet the highest standards, ensuring system compliance with safety-critical standards (ISO26262, ISO21448 (SOTIF)), with an emphasis on Operational Design Domain (ODD) limits and safe fallback behavior.
• Develop, maintain, and enhance robust, scalable test infrastructure and automation frameworks using Python, Shell, and relevant platforms to support high-volume, fleet-wide software rollouts.
• Serve as a technical lead for scenario-based testing (using tools like Applied Intuition) and AV capability campaigns, focusing on testing for end-to-end mission performance and service uptime.
• Service Readiness Validation:
  • Design and execute testing for non-driving features critical to the commercial service, including rider interactions, remote assistance handoffs, fleet operations protocols, and over-the-air (OTA) update verification.
  • Define and track Service Quality Indicators (SQI) and KPIs related to rider experience and operational efficiency during validation.
• Conduct detailed log analysis, support root-cause investigations across AV software and hardware, and utilize CAN-based tools for subsystem verification, particularly diagnosing issues impacting fleet efficiency and customer satisfaction.
• Lead QA review cycles, define release readiness gates for commercial software, represent Test Engineering in cross-functional forums, and mentor junior engineers.

What we're looking for:

• 5+ years in software QA or system testing, specifically within AV, ADAS, robotics, or safety-critical systems.
• Bachelor’s degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• Technical Expertise:
• Demonstrated expertise in test strategy, automation, and end-to-end testing for complex mechatronic/autonomous systems.
• Experience planning and executing tests in a simulated environment, both HIL and SIL
• Experience with CI/CD pipelines and integrating quality gates for production-grade software releases.
• Proven ability to lead technical efforts, mentor, operate with minimal oversight, and drive cross-functional alignment with teams like Fleet Operations and Product.

Bonus points:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer/CANoe) and logging/debugging techniques.
• Working knowledge of industry safety standards (ISO26262, SOTIF).
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotaxi service features (e.g., in-cabin HMI testing, rider support systems).
• Experience with ROS, cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.

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.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As a Senior AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

In this role, you will guide test development efforts across multiple AV subsystems, mentor junior engineers, and drive improvements to our tooling, test infrastructure, and methodologies. You will lead cross-functional initiatives that directly impact release readiness and safety assurance, translating high-level engineering requirements into scalable test plans and measurable quality outcomes. Your work will contribute to iterative development, fault injection analysis, and validation of safety-critical systems that meet the highest standards for reliability and compliance.

Essential Duties:

Technical Leadership & Validation:

• Lead the planning, design, and execution of validation campaigns across simulation, SIL, HIL, and on-vehicle environments, with a focus on perception, planning, and control systems.
• Serve as the technical lead for scenario-based testing, utilizing platforms like Applied Intuition or equivalents for synthetic and re-simulation use cases.
• Lead AV capability campaigns, employing AB Dynamics equipment for system-level validation and performance benchmarking.
• Own the creation and execution of test plans for complex mechatronic and software systems, including drive-by-wire (DBW), braking, steering, and system integrations.

Test Infrastructure & Analysis:

• Develop and maintain robust test infrastructure using Python, Shell, and automation frameworks, ensuring modular, reusable, and scalable test architecture.
• Conduct detailed analysis of logs and system behavior, supporting root-cause investigations across AV software and hardware components.
  
  

Quality Assurance & Compliance:

• Participate in and lead QA review cycles, helping to define entry/exit criteria, regression coverage, and release readiness gates.
• Ensure traceability and compliance by documenting procedures, results, and outcomes using Jira, GitLab, and Confluence.
• Contribute to compliance with safety-critical standards such as ISO26262, ISO21448 (SOTIF), and ISO9001.
  
  

Collaboration & Mentorship:

• Represent the Test Engineering function in cross-functional planning meetings, collaborating closely with perception, planning, controls, and safety teams.
• Mentor and support junior Test Engineers, providing technical guidance and fostering a culture of continuous learning and improvement.
  
  

Strategic Adaptation & Support:

• Continuously adapt and optimize test strategies in response to evolving product requirements, architectural shifts, and real-world findings.
• Support after-hours testing or incident triage as needed by fleet or field operations.
• Travel domestically on occasion to support on-site testing or operational deployments.
• Perform additional duties as assigned.

Required Qualifications:

• Bachelor's degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• 5+ years of experience in software QA or system testing, including AV, ADAS, robotics, or safety-critical systems.
• Demonstrated expertise in test strategy, test case development, test execution, and automation for complex mechatronic or autonomous systems.
• Experience leading end-to-end testing across software stacks and physical systems, including SIL, HIL, and real-world deployments.
• Strong analytical skills with proficiency in debugging, log parsing, and root cause analysis.
• Excellent verbal and written communication skills, with the ability to drive cross-functional alignment and effectively report technical findings.
• Proven ability to lead technical efforts, mentor junior engineers, and operate with minimal oversight.
• High level of initiative, ownership, and accountability in a fast-paced, startup-style engineering environment.
• Flexible schedule and willingness to support late meetings, night shifts, or urgent test activities as required.

Preferred:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer, CANoe) for fault injection, bus analysis, and subsystem verification.
• Working knowledge of industry standards for safety-critical systems such as ISO26262, ISO21448 (SOTIF), and ISO9001.
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotic middleware (e.g., ROS), cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.
  
  

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.

About the Role:

Under the general direction of the Professional Services Operations Lead, the Engineer will provide clients with remote and on-site support services across North America (and international locations, as applicable) in a wide range of client environments.  Physical Infrastructure design/Installation, wireless design, and hardware configuration are standard tasks the Engineer will perform.  Environments can include, but are not limited to, traditional data center facilities, warehouses, office buildings, MDF/IDF closets, headends, and remote outdoor facilities.

*** This is a 100% Onsite requirement with heavy travel***

What You’ll Do:

• Accurately document network infrastructure and design.
• Perform systems engineering, design, analysis, and experimentation of wireless networks.
• Plan, design, engineer, configure, maintain, defend, troubleshoot, and repair classified and unclassified wireless LANs, including wireless access points and their interconnection to the wired infrastructure.
• Provide recommendations for wireless network optimization, additions, and upgrades to meet requirements.
• Perform RF coverage studies, throughput testing,g and wireless site surveys.
• Conduct a root cause analysis of communication issues.
• Lead/assist with proof-of-concept trials with new technologies.
• Develop and maintain standards, reports, and various other types of documentation.
• Determine Wireless Access Point (WAP) placement to optimize coverage across various client environments.
• Conduct client-facing meetings (in person/virtual) in a professional manner.
• Maintain a high level of customer satisfaction.
• Identify building structural components to safely and securely accommodate wall-mounted infrastructure.
• Installation and decommission of all types of enterprise-level equipment and infrastructure in various types of environments.
• Configure various devices (laptops, desktops, servers, switches) with static IP addresses, subnets, gateways, and DNS servers.
• Research /resolve unforeseen problems with little to no consultation.
• Provide guidance and shadowing opportunities for lower-level technicians to ensure adherence to best practices.
• Perform firmware and/or BIOS updates on server, storage, and networking hardware platforms.
• Support lower-level peers in performing crisis management in the event of critical situations or major service outages.
• Provide remote console access to various devices via WebEx, Teams, or Zoom screen sharing.
• Perform basic or pre-defined tasks as directed by the team lead.
• Actively participate during the service transition phase to perform knowledge transfer and documentation.
• Review, report, and maintain accurate records, document all issues/concerns, and submit to the client.
• Assist in performing root cause analysis.
• Determine when/if escalation to leadership is necessary.
• May perform other duties as assigned by supervisor.
• Follow the company's best practices and Standard Operating Procedures.
• Travel is required for physical network installation and configuration.

Qualifications & Interests:

• A minimum of 3 years of experience in enterprise-level network design and support, including: IEEE 802.1, WAN/LAN, optimization, load balancing, routing, switching, QOS, TCP/IP, P2P, and P2MP wireless equipment, with hands-on experience administering Cisco wireless access points and controllers.
• A valid driver's license is required. 
• Prior MSP experience desired.
• Thorough understanding of Ekahau Pro Suite and Sidekick functionality.
• CompTIA A+ certification preferred.
• CompTIA Network+ and Cisco CCNA certifications (or equivalent experience preferred).
• Ability to conduct clear and concise communication in English (written and verbal).
• Fundamental understanding of all Office365 products and their operation.
• Strong attention to detail and quality.
• Thorough understanding of subnetting (Ex, 255.255.255.0 = /24)
• Thorough understanding of console connectivity and OOB management.
• Ability to identify power circuits and circuit breakers.
• Ability to properly identify various device port assignments.
• Ability to identify various power receptacle types (NEMA 5-15, C13/14/15, C19/20, L5-20, L6-30, etc.).
• Ability to properly identify various device port types (RJ45-Console, DB9, SFP, RJ45 Ethernet).
• Ability to properly identify various fiber optic cables and optics (LC, SC, FC, Single Mode, Multimode, SR vs LR Optics).
• Ability to properly terminate and test CAT5 and CAT6 cables (Keystones, punch down panels, and ends).
• Ability to properly run power/data cables, label and dress to Trace3 standards.
• Thorough comprehension of fiber and copper patch panel function and A-Z port identification.

• Ability to travel domestically up to 85% - 90% of the time.

PHYSICAL DEMANDS:

 This role blends active movement with desk-based responsibilities. Candidates should be comfortable with:

• Standing and walking for long stretches across different areas of the facility.
• Lifting items—sometimes heavy, up to 65 to 200 pounds (assisted)—including navigating stairs and placing objects overhead.
• Occasionally, working from ladders when tasks require elevation.
• Performing physical motions such as bending, crouching, and reaching on a regular basis.
• Sitting for extended periods while handling administrative or computer-related tasks.
• Reading printed documents and screens with clarity, including close-up work and adjusting focus as needed.
• Communicating effectively in person and by phone, with clear hearing and speech.

WORK ENVIRONMENT:

• The job takes place in environments where animals are present, which may involve exposure to pet dander, medical tools, and related substances.
• Travel by car and air (up to 75%) is required.
• Employees will often be surrounded by coworkers and clients, with frequent conversations happening nearby.
• Noise levels and indoor temperatures may fluctuate depending on the setting.

About the Role:

Under the general direction of the Professional Services Operations Lead, the Engineer will provide clients with remote and on-site support services across North America (and international locations, as applicable) in a wide range of client environments.  Physical Infrastructure design/Installation, wireless design, and hardware configuration are standard tasks the Engineer will perform.  Environments can include, but are not limited to, traditional data center facilities, warehouses, office buildings, MDF/IDF closets, headends, and remote outdoor facilities.

*** This is a 100% Onsite requirement with heavy travel***

What You’ll Do:

• Accurately document network infrastructure and design.
• Perform systems engineering, design, analysis, and experimentation of wireless networks.
• Plan, design, engineer, configure, maintain, defend, troubleshoot, and repair classified and unclassified wireless LANs, including wireless access points and their interconnection to the wired infrastructure.
• Provide recommendations for wireless network optimization, additions, and upgrades to meet requirements.
• Perform RF coverage studies, throughput testing,g and wireless site surveys.
• Conduct a root cause analysis of communication issues.
• Lead/assist with proof-of-concept trials with new technologies.
• Develop and maintain standards, reports, and various other types of documentation.
• Determine Wireless Access Point (WAP) placement to optimize coverage across various client environments.
• Conduct client-facing meetings (in person/virtual) in a professional manner.
• Maintain a high level of customer satisfaction.
• Identify building structural components to safely and securely accommodate wall-mounted infrastructure.
• Installation and decommission of all types of enterprise-level equipment and infrastructure in various types of environments.
• Configure various devices (laptops, desktops, servers, switches) with static IP addresses, subnets, gateways, and DNS servers.
• Research /resolve unforeseen problems with little to no consultation.
• Provide guidance and shadowing opportunities for lower-level technicians to ensure adherence to best practices.
• Perform firmware and/or BIOS updates on server, storage, and networking hardware platforms.
• Support lower-level peers in performing crisis management in the event of critical situations or major service outages.
• Provide remote console access to various devices via WebEx, Teams, or Zoom screen sharing.
• Perform basic or pre-defined tasks as directed by the team lead.
• Actively participate during the service transition phase to perform knowledge transfer and documentation.
• Review, report, and maintain accurate records, document all issues/concerns, and submit to the client.
• Assist in performing root cause analysis.
• Determine when/if escalation to leadership is necessary.
• May perform other duties as assigned by supervisor.
• Follow the company's best practices and Standard Operating Procedures.
• Travel is required for physical network installation and configuration.

Qualifications & Interests:

• A minimum of 5 years of experience in enterprise-level network design and support, including: IEEE 802.1, WAN/LAN, optimization, load balancing, routing, switching, QOS, TCP/IP, P2P, and P2MP wireless equipment, with hands-on experience administering Cisco wireless access points and controllers.
• A valid Driver's Licence is required. 
• Prior MSP experience desired.
• Thorough understanding of Ekahau Pro Suite and Sidekick functionality.
• CompTIA A+ certification preferred.
• CompTIA Network+ and Cisco CCNA certifications (or equivalent experience preferred).
• Ability to conduct clear and concise communication in English (written and verbal).
• Fundamental understanding of all Office365 products and their operation.
• Strong attention to detail and quality.
• Thorough understanding of subnetting (Ex, 255.255.255.0 = /24)
• Thorough understanding of console connectivity and OOB management.
• Ability to identify power circuits and circuit breakers.
• Ability to properly identify various device port assignments.
• Ability to identify various power receptacle types (NEMA 5-15, C13/14/15, C19/20, L5-20, L6-30, etc.).
• Ability to properly identify various device port types (RJ45-Console, DB9, SFP, RJ45 Ethernet).
• Ability to properly identify various fiber optic cables and optics (LC, SC, FC, Single Mode, Multimode, SR vs LR Optics).
• Ability to properly terminate and test CAT5 and CAT6 cables (Keystones, punch down panels, and ends).
• Ability to properly run power/data cables, label and dress to Trace3 standards.
• Thorough comprehension of fiber and copper patch panel function and A-Z port identification.

• Ability to travel domestically up to 85% - 90% of the time.

PHYSICAL DEMANDS:

 This role blends active movement with desk-based responsibilities. Candidates should be comfortable with:

• Standing and walking for long stretches across different areas of the facility.
• Lifting items—sometimes heavy, up to 65 to 200 pounds (assisted)—including navigating stairs and placing objects overhead.
• Occasionally, working from ladders when tasks require elevation.
• Performing physical motions such as bending, crouching, and reaching on a regular basis.
• Sitting for extended periods while handling administrative or computer-related tasks.
• Reading printed documents and screens with clarity, including close-up work and adjusting focus as needed.
• Communicating effectively in person and by phone, with clear hearing and speech.

WORK ENVIRONMENT:

• The job takes place in environments where animals are present, which may involve exposure to pet dander, medical tools, and related substances.
• Travel by car and air (up to 75%) is required.
• Employees will often be surrounded by coworkers and clients, with frequent conversations happening nearby.
• Noise levels and indoor temperatures may fluctuate depending on the setting.

About the Role:

Under the general direction of the Professional Services Operations Lead, the Engineer will provide clients with remote and on-site support services across North America (and international locations, as applicable) in a wide range of client environments.  Physical Infrastructure design/Installation, wireless design, and hardware configuration are standard tasks the Engineer will perform.  Environments can include, but are not limited to, traditional data center facilities, warehouses, office buildings, MDF/IDF closets, headends, and remote outdoor facilities.

*** This is a 100% Onsite requirement with heavy travel***

What You’ll Do:

• Accurately document network infrastructure and design.
• Perform systems engineering, design, analysis, and experimentation of wireless networks.
• Plan, design, engineer, configure, maintain, defend, troubleshoot, and repair classified and unclassified wireless LANs, including wireless access points and their interconnection to the wired infrastructure.
• Provide recommendations for wireless network optimization, additions, and upgrades to meet requirements.
• Perform RF coverage studies, throughput testing,g and wireless site surveys.
• Conduct a root cause analysis of communication issues.
• Lead/assist with proof-of-concept trials with new technologies.
• Develop and maintain standards, reports, and various other types of documentation.
• Determine Wireless Access Point (WAP) placement to optimize coverage across various client environments.
• Conduct client-facing meetings (in person/virtual) in a professional manner.
• Maintain a high level of customer satisfaction.
• Identify building structural components to safely and securely accommodate wall-mounted infrastructure.
• Installation and decommission of all types of enterprise-level equipment and infrastructure in various types of environments.
• Configure various devices (laptops, desktops, servers, switches) with static IP addresses, subnets, gateways, and DNS servers.
• Research /resolve unforeseen problems with little to no consultation.
• Provide guidance and shadowing opportunities for lower-level technicians to ensure adherence to best practices.
• Perform firmware and/or BIOS updates on server, storage, and networking hardware platforms.
• Support lower-level peers in performing crisis management in the event of critical situations or major service outages.
• Provide remote console access to various devices via WebEx, Teams, or Zoom screen sharing.
• Perform basic or pre-defined tasks as directed by the team lead.
• Actively participate during the service transition phase to perform knowledge transfer and documentation.
• Review, report, and maintain accurate records, document all issues/concerns, and submit to the client.
• Assist in performing root cause analysis.
• Determine when/if escalation to leadership is necessary.
• May perform other duties as assigned by supervisor.
• Follow the company's best practices and Standard Operating Procedures.
• Travel is required for physical network installation and configuration.

Qualifications & Interests:

• A minimum of 5 years of experience in enterprise-level network design and support, including: IEEE 802.1, WAN/LAN, optimization, load balancing, routing, switching, QOS, TCP/IP, P2P, and P2MP wireless equipment, with hands-on experience administering Cisco wireless access points and controllers.
• A valid driver's license is required. 
• Prior MSP experience desired.
• Thorough understanding of Ekahau Pro Suite and Sidekick functionality.
• CompTIA A+ certification preferred.
• CompTIA Network+ and Cisco CCNA certifications (or equivalent experience preferred).
• Ability to conduct clear and concise communication in English (written and verbal).
• Fundamental understanding of all Office365 products and their operation.
• Strong attention to detail and quality.
• Thorough understanding of subnetting (Ex, 255.255.255.0 = /24)
• Thorough understanding of console connectivity and OOB management.
• Ability to identify power circuits and circuit breakers.
• Ability to properly identify various device port assignments.
• Ability to identify various power receptacle types (NEMA 5-15, C13/14/15, C19/20, L5-20, L6-30, etc.).
• Ability to properly identify various device port types (RJ45-Console, DB9, SFP, RJ45 Ethernet).
• Ability to properly identify various fiber optic cables and optics (LC, SC, FC, Single Mode, Multimode, SR vs LR Optics).
• Ability to properly terminate and test CAT5 and CAT6 cables (Keystones, punch down panels, and ends).
• Ability to properly run power/data cables, label and dress to Trace3 standards.
• Thorough comprehension of fiber and copper patch panel function and A-Z port identification.

• Ability to travel domestically up to 85% - 90% of the time.

PHYSICAL DEMANDS:

 This role blends active movement with desk-based responsibilities. Candidates should be comfortable with:

• Standing and walking for long stretches across different areas of the facility.
• Lifting items—sometimes heavy, up to 65 to 200 pounds (assisted)—including navigating stairs and placing objects overhead.
• Occasionally, working from ladders when tasks require elevation.
• Performing physical motions such as bending, crouching, and reaching on a regular basis.
• Sitting for extended periods while handling administrative or computer-related tasks.
• Reading printed documents and screens with clarity, including close-up work and adjusting focus as needed.
• Communicating effectively in person and by phone, with clear hearing and speech.

WORK ENVIRONMENT:

• The job takes place in environments where animals are present, which may involve exposure to pet dander, medical tools, and related substances.
• Travel by car and air (up to 75%) is required.
• Employees will often be surrounded by coworkers and clients, with frequent conversations happening nearby.
• Noise levels and indoor temperatures may fluctuate depending on the setting.

About the Role:

Under the general direction of the Professional Services Operations Lead, the Engineer will provide clients with remote and on-site support services across North America (and international locations, as applicable) in a wide range of client environments.  Physical Infrastructure design/Installation, wireless design, and hardware configuration are standard tasks the Engineer will perform.  Environments can include, but are not limited to, traditional data center facilities, warehouses, office buildings, MDF/IDF closets, headends, and remote outdoor facilities.

*** This is a 100% Onsite requirement with heavy travel***

What You’ll Do:

• Accurately document network infrastructure and design.
• Perform systems engineering, design, analysis, and experimentation of wireless networks.
• Plan, design, engineer, configure, maintain, defend, troubleshoot, and repair classified and unclassified wireless LANs, including wireless access points and their interconnection to the wired infrastructure.
• Provide recommendations for wireless network optimization, additions, and upgrades to meet requirements.
• Perform RF coverage studies, throughput testing,g and wireless site surveys.
• Conduct a root cause analysis of communication issues.
• Lead/assist with proof-of-concept trials with new technologies.
• Develop and maintain standards, reports, and various other types of documentation.
• Determine Wireless Access Point (WAP) placement to optimize coverage across various client environments.
• Conduct client-facing meetings (in person/virtual) in a professional manner.
• Maintain a high level of customer satisfaction.
• Identify building structural components to safely and securely accommodate wall-mounted infrastructure.
• Installation and decommission of all types of enterprise-level equipment and infrastructure in various types of environments.
• Configure various devices (laptops, desktops, servers, switches) with static IP addresses, subnets, gateways, and DNS servers.
• Research /resolve unforeseen problems with little to no consultation.
• Provide guidance and shadowing opportunities for lower-level technicians to ensure adherence to best practices.
• Perform firmware and/or BIOS updates on server, storage, and networking hardware platforms.
• Support lower-level peers in performing crisis management in the event of critical situations or major service outages.
• Provide remote console access to various devices via WebEx, Teams, or Zoom screen sharing.
• Perform basic or pre-defined tasks as directed by the team lead.
• Actively participate during the service transition phase to perform knowledge transfer and documentation.
• Review, report, and maintain accurate records, document all issues/concerns, and submit to the client.
• Assist in performing root cause analysis.
• Determine when/if escalation to leadership is necessary.
• May perform other duties as assigned by supervisor.
• Follow the company's best practices and Standard Operating Procedures.
• Travel is required for physical network installation and configuration.

Qualifications & Interests:

• A minimum of 3 years of experience in enterprise-level network design and support, including: IEEE 802.1, WAN/LAN, optimization, load balancing, routing, switching, QOS, TCP/IP, P2P, and P2MP wireless equipment, with hands-on experience administering Cisco wireless access points and controllers.
• A valid driver's license is required. 
• Prior MSP experience desired.
• Thorough understanding of Ekahau Pro Suite and Sidekick functionality.
• CompTIA A+ certification preferred.
• CompTIA Network+ and Cisco CCNA certifications (or equivalent experience preferred).
• Ability to conduct clear and concise communication in English (written and verbal).
• Fundamental understanding of all Office365 products and their operation.
• Strong attention to detail and quality.
• Thorough understanding of subnetting (Ex, 255.255.255.0 = /24)
• Thorough understanding of console connectivity and OOB management.
• Ability to identify power circuits and circuit breakers.
• Ability to properly identify various device port assignments.
• Ability to identify various power receptacle types (NEMA 5-15, C13/14/15, C19/20, L5-20, L6-30, etc.).
• Ability to properly identify various device port types (RJ45-Console, DB9, SFP, RJ45 Ethernet).
• Ability to properly identify various fiber optic cables and optics (LC, SC, FC, Single Mode, Multimode, SR vs LR Optics).
• Ability to properly terminate and test CAT5 and CAT6 cables (Keystones, punch down panels, and ends).
• Ability to properly run power/data cables, label and dress to Trace3 standards.
• Thorough comprehension of fiber and copper patch panel function and A-Z port identification.

• Ability to travel domestically up to 85% - 90% of the time.

PHYSICAL DEMANDS:

 This role blends active movement with desk-based responsibilities. Candidates should be comfortable with:

• Standing and walking for long stretches across different areas of the facility.
• Lifting items—sometimes heavy, up to 65 to 200 pounds (assisted)—including navigating stairs and placing objects overhead.
• Occasionally, working from ladders when tasks require elevation.
• Performing physical motions such as bending, crouching, and reaching on a regular basis.
• Sitting for extended periods while handling administrative or computer-related tasks.
• Reading printed documents and screens with clarity, including close-up work and adjusting focus as needed.
• Communicating effectively in person and by phone, with clear hearing and speech.

WORK ENVIRONMENT:

• The job takes place in environments where animals are present, which may involve exposure to pet dander, medical tools, and related substances.
• Travel by car and air (up to 75%) is required.
• Employees will often be surrounded by coworkers and clients, with frequent conversations happening nearby.
• Noise levels and indoor temperatures may fluctuate depending on the setting.

Overview

As the Industrial Engineer - Warehouse Design & Automation, you will be a technical leader responsible for designing, engineering, and scaling warehouse facilities across a multi-site fulfillment network. Your primary mission is to translate business demand and growth forecasts into data-driven, buildable warehouse designs that optimize throughput, labor efficiency, space utilization, and cost.

This role partners closely with Operations, Real Estate, Facilities, IT, Finance, and external automation vendors to deliver standardized, scalable solutions for greenfield builds, expansions, and retrofits. You will bring a strong systems mindset, deep understanding of material flow, and a bias for simplicity, operability, and long-term sustainability.

What You’ll Do

Warehouse Design & Engineering

• Design end-to-end warehouse layouts for new facilities, expansions, and retrofits, supporting high-throughput fulfillment operations.
• Engineer material flows from inbound receiving through outbound shipping, ensuring efficient, safe, and ergonomic processes.
• Define building-level requirements including dock counts, clear heights, column spacing, power, floor loading, and equipment zoning, in partnership with cross-functional teams.
• Develop and maintain layout drawings, design assumptions, and engineering narratives for leadership, finance, and vendor review.

MHE & Automation Engineering

• Specify, evaluate, and engineer material handling and automation systems including:
• Conveyors, sorters, and divert systems
• Pick modules, pallet flow, case flow, and mezzanines
• AMRs, AGVs, and goods-to-person solutions
• Packaging, labeling, dimensioning, and weighing systems
  
  
• Develop functional specifications, throughput targets, and redundancy strategies for automation systems.
• Partner with integrators and vendors through RFPs, design reviews, FAT/SAT, commissioning, and go-live support.

Capacity Modeling & Data Analysis

• Build capacity, throughput, and labor models using forecasted volumes, SKU profiles, and order characteristics.
• Analyze peak scenarios, seasonality, and failure modes to stress-test designs.
• Quantify trade-offs between labor, automation, space utilization, service levels, and cost.
• Use post-launch operational data to refine assumptions and continuously improve design standards.

Financial Analysis & Business Case Development

• Develop CapEx and OpEx estimates for MHE and automation investments.
• Support ROI, payback period, and total cost of ownership analyses.
• Partner with Finance and Leadership to support capital planning and investment decisions.
• Drive standardization across facilities to reduce engineering variability and lifecycle cost.

Launch Support & Continuous Improvement

• Support warehouse launches and expansions through go-live and stabilization.
• Partner with Operations, Maintenance, and Controls teams to resolve systemic design issues.
• Perform post-launch audits and feed learnings back into network design standards and playbooks.
• Document and maintain reference designs, engineering standards, and best practices.

What You’ll Need

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
• Alternatively, equivalent hands-on experience designing warehouse automation systems may be considered.
• 5+ years of experience in warehouse design, material handling engineering, or automation.
• Proven experience designing high-volume distribution or fulfillment centers.
• Strong analytical and modeling skills, with advanced proficiency in Excel; SQL, Python, or simulation tools are a plus.
• Proficiency in AutoCAD or similar layout and design tools.
  
  

Preferred Qualifications

• Master’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
• Experience in large-scale e-commerce, retail, or 3PL fulfillment networks.
• Familiarity with WMS concepts and system integration dependencies.
• Greenfield warehouse launch experience.
• Experience working directly with automation integrators or MHE vendors.
  
  

Key Attributes

• Strong systems thinker with the ability to design for scale, peak, and failure scenarios.
• Data-driven decision maker who can clearly communicate technical trade-offs to non-technical stakeholders.
• Practical, operations-aware engineer who values simplicity, maintainability, and standardization.
• Builder mindset with a desire to create mechanisms, standards, and repeatable solutions.