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.

• Follow all safety policies and procedures while operating prototype-level Autonomous Vehicles on both defined and undefined routes, including a variety of geographic and environmental conditions.
• Operate in-vehicle data recording computers, including start/stop recording, data marking, and minor debugging when issues arise.
• Provide clear, accurate, and useful subjective feedback to the engineering teams on vehicle behavior observed.
• Ensures the safe operation of our test vehicles on public roads.
• Requires some initial travel for training and collaboration with other vehicle operators.
• Completes accident and incident reports as needed.
• Able to speak sufficient English in order to converse with first responders if necessary.
• Maintains current knowledge and adherence to all Motional AD LLC operating policies, procedures, and directives.
• Arrives to work on time for scheduled shift and with proper driving credentials on his/her/their person and is ready to work.
• Maintains current knowledge and is in compliance with local, county, and state traffic laws.
• Performs pre-trip and post-trip inspection, which may include but not limited to cleanliness of the Autonomous Vehicle. This includes conducting an external/internal visual inspection of the vehicle and testing all necessary equipment, operating devices, and controls.
• Completes accident and incident reports.
• Control and manage emergency situations according to company procedures.
• Able to work in a team environment and operate AV with another person. Maintain cooperative behavior towards fellow team members, leads, supervisors, and managers.
• Requires flexibility in work schedule.
• Operate in-vehicle data recording computers, including start/stop recording, data annotations, and minor debugging when issues arise. Provide feedback to engineering teams gathered from testing.
• Utilize JIRA/Confluence software to execute testing tickets and document historical data findings to a global audience.
• Able to deploy and troubleshoot AV’s.
• Control and manage emergency situations according to company procedures.
• Additional duties as assigned.
  
  

• Candidates must have and maintain a clean driving record for the previous 3 years, no DUIs for previous 10 years, and never be at fault in an accident that resulted in injury to any person.
• Prior experience as an Operator/Driver for Autonomous Vehicles is preferred, or some type of internal or external training on Autonomous Vehicle technology.
• Experience and training on providing subjective feedback on vehicle behaviors and environment.
• Must be able to successfully complete in-house driving course/examination.
• Local knowledge in the test city of streets, geography, and environmental features that may be challenging for Autonomous Vehicles.
• Basic knowledge of how to navigate through a smartphone using applications to complete job duties.
• High school diploma or equivalency.
• Able to work days, nights, and weekends at any time.
• Must be able to use company communication systems and communicate clearly and effectively both written and verbally.
• Must be able to read a map and possess knowledge of the local area.
• Must maintain a professional appearance.
• At least ten (10) years total driving experience.
• Utilize JIRA/Confluence software to execute testing tickets and document historical data findings to a global audience.
  
  

• Basic understanding of technical software that may include; Linux, Atlassian Confluence, Jira, Gitlab, and Python.
• If you currently do not meet all qualifications, or are currently working to obtain qualifying credentials, still submit your application for review.
• Data Analysis experience.
• 6 Months of NHTSA levels 2-5 Autonomous vehicle experience.
  
  

• Ability to pass a DOT exam.
• Able to be in a confined seated position to operate a vehicle for up to four (4) hours at a time for a total of up to ten (10) hours per day.
• Able to stay awake and alert on shift at all times.
  
  

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 Driverless Operations Command Center (DOCC) Manager serves as the central command authority for real-time autonomous vehicle (AV) operations, ensuring safe, efficient, and scalable performance across both driver-assisted and fully driverless deployments. Reporting to the Director of Commercial Fleet Operations, the DOCC Manager acts as the operational nerve center, synthesizing live telemetry, environmental conditions, and incident signals to drive rapid, high-stakes decision-making under ambiguity and time pressure. This role is accountable for the on-mission operational management of fleet assets, orchestrating incident response, and coordinating cross-functional stakeholders to ensure swift containment and resolution of non-nominal events. Through disciplined Operational Design Domain (ODD) management and proactive intervention, this leader mitigates risk in real time, while also enabling continuous operational improvement. Success in this role directly underpins Motional’s ability to safely expand driverless operations at scale.

What You’ll Be Doing:

Real-Time Fleet Command & Control:

• Serve as the single-threaded owner for on-mission AV fleet health, operational continuity, and safety outcomes across all active vehicles.
• Monitor live fleet telemetry and operational signals to identify anomalies, degradation patterns, and emerging risks.
• Make rapid, high-consequence decisions under uncertainty to stabilize operations and minimize customer and safety impact.

Operational Design Domain (ODD) Management:

• Continuously assess and manage ODD constraints including weather, road closures, construction zones, and dynamic city events.
• Initiate and approve Pick-Up/Drop-Off (PuDo) restrictions, map overrides, and routing interventions to maintain safe operability.
• Partner with Mapping and Engineering teams to ensure real-time alignment between operational conditions and system capabilities.

Non-Nominal Event & Incident Management:

• Own end-to-end lifecycle of non-nominal events, ensuring every “stuck” or degraded AV is assigned a clear resolution path.
• Act as Incident Commander for high-severity events, driving structured escalation, containment, and recovery protocols.
• Own the end-to-end Incident Response Process (IRP); lead triage, escalation, and resolution of all operational and safety incidents.

Field Support & Dispatch Coordination:

• Identify, triage, and dispatch field support requests to On-Road Response Specialists (ORS) or third-party providers (e.g., towing).
• Actively manage SLA adherence, response times, and resource allocation across field support operations.
• Optimize field response coverage models based on demand patterns and incident trends.

Map & Operational Readiness Oversight:

• Review and validate active map restrictions and operational constraints within assigned markets.
• Ensure readiness for daily operations by aligning map state, fleet availability, and environmental conditions.
• Escalate systemic map or routing issues impacting service reliability

Cross-Functional & External Stakeholder Coordination:

• Serve as the primary liaison between Command Center, Remote Vehicle Assistance (RVA), Engineering, Safety, and Commercial Operations during live events.
• Coordinate directly with first responders, law enforcement, and municipal authorities during active incidents.
• Provide clear, structured communication during high-pressure scenarios to maintain alignment and control.

Continuous Improvement & Scalability:

• Identify recurring operational failure modes, drive root cause analysis, and implement corrective/preventive actions with Engineering, Data Analytics, and Safety teams.
• Translate incident learnings into process improvements, tooling requirements, and automation opportunities.
• Contribute to the development of scalable operational frameworks supporting full driverless expansion.
  
  

What We’re Looking For:

• Bachelor’s degree (Operations, Engineering, Business, Logistics)or equivalent practical experience.
• 5–8+ years of experience in real-time operations, command-and-control, or mission-critical environments (e.g., autonomous systems, aviation operations, emergency dispatch, military operations, logistics control towers).
• Demonstrated ability to thrive in ambiguity, balancing operational and strategic planning with tactical execution.
• Experience with incident command systems or structured emergency response frameworks.
• Proven ability to make high-quality decisions under pressure with incomplete or ambiguous data.
• Demonstrated experience in incident management, escalation frameworks, and real-time operational risk mitigation.
• Strong situational awareness and the ability to synthesize multiple data streams into actionable decisions.
• Experience coordinating cross-functional teams in high-stakes environments.
• Demonstrated ability to use data to drive performance and decision-making.
• Excellent verbal and written communication skills, with the ability to provide clear direction during critical events.
• Proficiency with operational tools, dashboards, and data systems used in live monitoring environments.
• Ability to work flexible schedules, including nights, weekends, and holidays.
  
  

Bonus Points (not required):

• Direct experience in autonomous vehicle operations, robotics, or advanced mobility systems
• Familiarity with ODD frameworks and real-time geospatial decision-making.
• Experience managing field operations or dispatch logistics, including SLA performance oversight.
• Experience working with mapping systems, geofencing, or real-time routing tools.
• Track record of process standardization and operational scalability in high-growth environments.
• Experience in autonomous vehicles, driverless systems, or mobility platforms.
• Background in safety operations, emergency response, or reliability engineering. 
  
  

Physical Demands & Working Environment:

• This role requires the ability to interface with both office and field environments.
• The employee is occasionally required to remain stationary at times for up to 50% of working time.
• Operate and use office equipment.  
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.
  
  

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

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 Director of Commercial Operations is a critical senior management team member and is responsible for the safe and reliable operation of Motional’s commercial fleet and supporting commercial partners. Reporting to the Senior Director of Operations, the Director of Commercial Operations is expected to develop and maintain an excellent level of operating performance through increased reliability and close working relationships with cross-functional stakeholders. This role requires extensive operational experience to ensure that the efficient deployment of the commercial autonomous vehicle (AV) Fleet is safe, reliable and accessible. The Director will be responsible for achieving improved efficiencies by implementing new tools and technologies, while also ensuring that any cost-efficiency plans are driven by Motional’s core values and commitment to a driverless vehicle future.

What You’ll Be Doing:

Fleet Performance & Operational Excellence:

• Own end-to-end commercial fleet performance across all active markets, including safety, reliability, utilization, and service delivery metrics.
• Establish and drive KPIs such as fleet availability, autonomous miles, incident rates, MTTR (mean time to resolution), and SLA adherence.
• Translate operational data into actionable insights to continuously improve fleet efficiency, uptime, and customer experience.
  
  

Multi-Market Operations Leadership:

• Lead and standardize operations across multiple geographies, ensuring consistency in execution while adapting to local Operational Design Domains (ODDs).
• Develop scalable operating models that support expansion of fully driverless deployments.
• Ensure operational readiness for new market launches, including staffing models, infrastructure, and regulatory alignment.
  
  

Command Center & Incident Management Oversight:

• Provide executive oversight of real-time fleet command and control functions, including incident response, escalation protocols, and non-nominal event management.
• Ensure robust incident command structures are in place to rapidly contain risk and maintain public trust during high-severity events.
• Drive post-incident review processes to identify root causes and implement systemic corrective actions.
  
  

Cross-Functional Integration:

• Serve as the senior operational liaison across Engineering, Safety, Product, Mapping, and Commercial teams.
• Align fleet operations with system capabilities, product roadmap, and safety frameworks to ensure cohesive execution.
• Partner with Commercial and Business Development teams to support partner success and contractual performance obligations.
  
  

Field Operations & Resource Optimization:

• Oversee field support strategy, including On-Road Response Specialists (ORS), third-party vendors, and dispatch operations.
• Optimize resource allocation models to balance response time, cost efficiency, and service coverage.
• Ensure field operations meet defined SLAs and are equipped to support both driver-assisted and driverless operations.
  
  

Technology, Tooling & Process Innovation:

• Identify, implement, and scale operational tools, automation, and technologies that improve fleet performance and reduce manual intervention.
• Partner with Engineering and Product teams to define system requirements that enhance operational visibility and control.
• Champion data-driven decision-making frameworks across all levels of fleet operations.
  
  

Cost Efficiency & Financial Stewardship:

• Develop and manage operational budgets with a focus on cost efficiency, scalability, and ROI.
• Identify cost reduction opportunities without compromising safety, reliability, or customer experience.
• Ensure financial discipline aligns with company values and long-term driverless strategy.
  
  

Regulatory, Safety & External Stakeholder Engagement:

• Ensure compliance with all local, state, and federal regulatory requirements governing AV operations.
• Act as a senior representative with city officials, regulators, and first responders to maintain strong external relationships.
• Uphold and reinforce a safety-first culture across all operational functions.
  
  

Leadership & Organizational Development:

• Build, lead, and develop high-performing operations teams, including managers and frontline leadership.
• Establish clear accountability structures, performance management frameworks, and leadership development pathways.
• Foster a culture of urgency, ownership, and continuous improvement aligned with company values.

What We’re Looking For:

• Bachelor’s degree required (Operations, Marketing, Business, Engineering, Logistics); equivalent practical experience a plus.
• 10+ years of experience in operations leadership within mission-critical, real-time environments (autonomous systems, aviation, logistics, defense, or large-scale mobility operations).
• 5+ years in a senior leadership role (Director and above) with responsibility for multi-site or multi-market operations.
• Experience managing third-party vendors and commercial partnerships with performance-based contracts.
• Proven track record of owning and improving complex operational systems at scale, including safety, reliability, and cost performance.
• Demonstrated expertise in incident management, command-and-control structures, and operational risk mitigation.
• Strong financial acumen with experience managing budgets, cost optimization initiatives, and resource planning.
• Experience leading cross-functional organizations and influencing Engineering, Product, and Commercial stakeholders.
• Deep analytical capability with experience leveraging data to drive operational improvements and strategic decisions.
• Exceptional communication and executive presence, with the ability to operate effectively in high-pressure environments.
• Ability to support a 24/7 operational model, including on-call escalation leadership.
  
  

Bonus Points (not required):

• Experience in autonomous vehicles, driverless systems, or mobility platforms.
• Background in air traffic control systems, military command-and-control, emergency management, or network operations centers.
• Experience scaling driverless or highly automated systems in real-world environments.
• Familiarity with ODD frameworks, geospatial operations, and real-time routing systems.
• Experience with fleet management platforms, telematics, and real-time operational analytics tools
• Proven success in launching new markets or expanding operations in regulated environments.
• Experience managing field operations or dispatch logistics, including SLA performance oversight.
• Track record of process standardization and operational scalability in high-growth environments.
• Background in safety operations, emergency response, or reliability engineering. 
  
  

Physical Demands & Working Environment:

• This role requires the ability to interface with both office and field environments.
• The employee is occasionally required to remain stationary at times for up to 50% of working time
• Operate and use office equipment.  
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

Mission Summary:

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

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

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required):

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

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

Mission Summary:

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

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence our department-wide technical strategy. By establishing robust processes and mentoring those around you, you will ensure our ML platforms act as a reliable, mission-critical engine for the entire autonomy stack.

What You'll Do:

• Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems. Proactively inform leadership to guide reprioritization, ensuring initiatives consistently drive team-wide and department-level OKRs and KPIs.
• Architect System-Level Solutions: Own the system-level architecture for complex ML products. Design scalable frameworks for massive data mining and highly optimized, real-time inference across GPU/CPU clusters.
• Drive Cross-Functional Execution: Lead multi-person projects to completion across teams. Influence partner teams' technical roadmaps (such as Autonomy) to solve shared problems, break down silos, and build alignment.
• Elevate Engineering Excellence: Establish department-wide standards for ML system design, code quality, testing, and deployment. Deliver processes to proactively address issues and participate in org-wide incident response planning.
• Operate as a Generalist Expert: Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing unprecedented technical challenges.
• Mentor and Lead: Act as a role model and technical go-to person. Coach Senior and junior engineers, lead architectural reviews, and elevate Motional’s engineering culture through internal documentation, tech talks, and collaborative design.
  
  

What We're Looking For (Must-Haves):

• BS in Computer Science, Machine Learning, or a related field (or equivalent practical experience)
• 8+ years of hands-on ML engineering experience, with a proven track record of owning architecture, deployment, and optimization of large-scale ML systems
• Demonstrated experience working with multimodal foundation models in ML production systems, including integration, scaling, fine-tuning, or deployment of models that process multiple data modalities (e.g., camera, LiDAR, radar, text)
• Demonstrated technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization)
• Broad ML generalist knowledge, with practical experience spanning model training, deep learning architectures, evaluation methodologies, and production deployment at scale
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for latency, throughput, and hardware efficiency
• Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus across disparate teams
  
  

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or a related field.
• Background in autonomous driving, robotics, or complex real-time decision-making systems.
• Experience with massive-scale ML data mining, active learning loops, and contrastive/representation learning.
• Familiarity with multimodal learning, sensor fusion, or large foundation models.
• Deep knowledge of model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms.
• Demonstrated experience leading org-wide severity reviews or establishing incident response planning for mission-critical ML platforms.
  
  

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 Statement: The Associate Fleet Operations Specialist supports the business to ensure the fleet is ready to be deployed and safe to operate on public roads. Reporting to the Fleet Management Supervisor, the Associate Fleet Operations Specialist communicates between Autonomous Vehicle (AV) Testing Operations, Test Engineering, and Engineering teams for daily utilization of AV Fleet resources. Key responsibilities include facilitating fleet readiness activities such as ensuring repairs, maintenance, and updates are conducted safely and promptly, along with keeping cross-functional stakeholders informed. This position requires strong communication skills, attention to detail, and a commitment to maintaining high safety standards and operational efficiency at all times.

What You’ll Be Doing:

• Input and track daily vehicle scheduling/rotation/planning in support of all fleet operations
• Perform maintenance work order creation, inspection documentation and logging
• Utilize Fleetio, Jira, Slack and various G Suite applications to support fleet operations 
• Review vehicle statuses, flag out of service units, assign and/or escalate work orders
• Multi-site logistics coordination scheduling vehicle pickups/drop-offs for service and repair
• Multi-site support of R&D/Test operations via pack/ship of hardware or special project equipment
• Multi-site inventory management duties such as stockroom/parts organization and supply orders
• Author, update, and maintain documentation/databases related to fleet readiness and repair
• Facilitate and create SOP’s, checklists, and internal service bulletins
• Document technical notes, flag real-time AV events, and support triage/resolution processes
• Incident response actions to include documentation, manual vehicle retrieval, and team coord/handoff (Legal, Safety, Calibration, etc.)
• Maintain in-vehicle camera monitoring systems via functionality verification and troubleshooting 
• Work with vendors to draft purchase requisitions for parts, repairs, towing, logistics, etc.
• Provide field support as needed for AV recovery
• Flexibility to work days, nights, and/or weekends
• Ability to pass a DOT physical 

What We’re Looking For:

• 2+ years of experience in the automotive industry or similar fleet logistics
• Ability to properly follow specific instructions and learn tasks quickly
• Ability to think logically/demonstrated problem-solving skills
• Strong and proven organizational/time management skills
• Strong communication and interpersonal skills
• Detailed-oriented mindset focused on safety
• Strong focus on continuous improvement 
• High degree of self-motivation
• Flexible and creative thinking
• Valid driver's license required

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 frequently walk for long periods; walk; crouch; 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 is a temperature-controlled garage environment and uses various hand tools, power tools, diagnostic equipment, a manual pallet jack, binders, bungees, and straps, a computer, a telephone, and other office equipment as needed to perform duties.  The noise level in the work environment is typical of that of a garage. The employee may encounter frequent interruptions throughout the workday. While performing the duties of this job, the employee is occasionally exposed to various outside weather conditions, road conditions, and pedestrian traffic. The employee is regularly exposed to mechanical and computer parts. The employee is occasionally exposed to fumes and/or airborne particles. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus points (not required):

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

Internship Duration: May 2026 – August 2026 

Role Summary

Amperesand is working to develop, build, test, and validate a ground-up redesigned next-generation solid state transformer (SST) and the power stage modules (PSMs) that convert power from medium-voltage AC to customer-facing DC output.  This internship will include building and testing of prototype units, root cause analysis of issues found, and design and changes of parts to fix or improve.   

Responsibilities: 

• UtilizeCAD software to create detailed mechanical designs.  3DX/Catia experience preferred but not required. 
• Model and design complex electro-mechanical parts, including plastics, sheet metal, insulators, magnetic components, and high-voltage connectors.
• Perform mechanical design analysisby means offirst principal calculation or simulation with commercial software, including structural FEA, thermal CFD, vibration, and fatigue assessments. 
• Solve packaging challenges involving electrical isolation, sealing, thermal dissipation, EMI/EMC shielding, and mechanical shock/vibration.
•  Perform prototype development, fabrication, assembly, and mechanical testing of new designs.
•  Support root-cause analysis of design issues in pilot or production builds and lead iterative improvements. 
•  Define and execute validation test plans including structural, thermal, and environmental testing. 
• 2D drawings with GD&T for production and inspection.
• Create engineering documentation, tolerance stacks, BOMs, and release packages through PLM systems.
•  Collaborate cross-functionally with electrical, thermal, firmware and controls, manufacturing, test, and industrial design teams.
•  Work closely with suppliers to optimize DFM, DFA, and tooling strategies for high-volume production. 

Qualifications: 

• Final year undergraduate standing or graduate study inMechanical Engineering or a closely-related field. 
• Expertise in CAD modeling using 3D EXPERIENCE (CATIA V6/V5), SolidWorks, NX, or Creo. 
•  Deep understanding of mechanical fundamentals—statics, dynamics, heat transfer, and materials.
• Working knowledge of materials: metals (aluminum, steel), plastics, ceramics, gaskets, potting compounds.
• Comfortable with root-cause analysis, failure mode resolution, and mechanical reliability testing.
• Passion for product innovation, sustainability, and enabling electrification through engineering excellence.

Bonus Qualifications: 

• Strong background in structural, thermal, and vibration analysis using commercial software,e.g.Ansys 
• Proficiency in GD&T, tolerance analysis, and DFM/DFA principles. 
• Familiarity with PCBAs, connectors, and mechanical integration of high-density electronic assemblies.
• Experience with high-volume manufacturing processes such as injection molding, die casting, extrusion, and sheet metal forming.
• Experience with medium- to high-voltage systems and insulation coordination (creepage, clearance, potting, sealing).
• Experience working in Agile development environments, including task management and sprint planning using Scrum methodologies and tools like Jira.

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Compensation: $30 - $45/hour depending on location and level of experience 

Role Summary 

As our Production Operations Supervisor, you will lead the day-to-day execution of prototype-to-production builds, directly supervising the production associate team on the floor. This is a highly hands-on role—you’ll assign work, unblock issues in real time, ensure production schedules and quality standards are met, and track and approve timecards and labor hours. You’ll coordinate and deliver on-the-job training as needed, helping associates develop the skills required to build complex solid-state power hardware safely, consistently, and efficiently. Your leadership will directly influence product readiness, customer confidence, and the pace at which our solid-state transformer technology moves from development into real-world deployment. 

Responsibilities: 

• Directly supervise production associates supporting prototype-to-production builds, managing daily work assignments, floor coverage, and execution against production schedules. 

• Own day-to-day floor operations, ensuring safety, quality, and productivity standards are met while escalating issues and risks in real time. 

• Track, review, and approve timecards, labor hours, and overtime, supporting labor efficiency and production planning. 

• Ensure quality standards are upheld at every building step, supporting a no-defects-forward mindset and partnering with engineering on issue resolution and corrective actions. 

• Coordinate, deliver, and document on-the-job training for new and existing production associates, ensuring readiness for complex manufacturing and power electronics assembly. 

• Support the development, maintain, and enforce standardized work instructions and SOPs in collaboration with engineering and operations. 

• Monitor daily production metrics and drive continuous improvement in throughput, yield, safety, and cost. 

• Develop and maintain production reports, dashboards, and visual management boards that provide clear visibility to leadership on progress toward production goals, risks, and corrective actions. 

• Create a positive, accountable shop-floor culture through coaching, performance feedback, and corrective action, including addressing performance concerns and administering discipline when necessary. 

• Ensure compliance with EHS requirements, proactively identifying and correcting hazards and reinforcing safe work practices. 

Qualifications: 

• 4+ years of experience in manufacturing or production operations, with at least 2 years in a hands-on supervisory or lead role supporting production associates. 

• Proven experience leading day-to-day floor operations in a fast-paced manufacturing environment, including work assignment and schedule execution. 

• Experience managing labor and timekeeping, including tracking and approving timecards, overtime, and shift coverage. 

• Practical experience applying quality requirements, standardized processes, and structured problem-solving on production floor. 

• Experience coordinating and delivering on-the-job training and coaching production teams through changing processes. 

• Strong communication skills, with the ability to provide clear direction, real-time feedback, and corrective action when required. 

• Ability to track production performance and maintain reports, dashboards, or visual management boards to communicate progress toward production goals. 

• Commitment to safety and EHS best practices in a manufacturing environment. 

• High school diploma or equivalent required. 

Bonus Qualifications: 

• Experience in manufacturing environments such as power electronics, energy systems, automotive, or industrial equipment. 

• Prior involvement in pilot production or new product introduction (NPI) builds. 

• Experience partnering closely with engineering teams to improve manufacturability and production readiness. 

• Experience developing or maintaining standardized work instructions, SOPs, or training documentation. 

• Able to push, pull, and lift up to 50 lbs. 

• Forklift certified 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

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

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

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

Success Metrics:

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

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

Physical Demands:

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

Travel Requirements (greater than 20%):

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

Working Environment:

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

Mission Summary:

The Mapping Analyst will provide global support to the Map Operations team and support launching autonomous vehicle service in new cities around the country and the world. The Mapping Analyst will provide support to the Market Entry Map Operations team by collecting infrastructure data and analyzing road features and work closely with product and engineering teams to guide feature development, and will support the global team by annotating maps, assisting with data-collection and map validation.

The Motional Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road, the Las Vegas office 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.

Essential Duties:

• Annotate/digitize high-definition maps of roads that are used for autonomous driving, using in-house mapping software, and play an active role in the expansion and maintenance of mapped areas
• Perform in-depth analysis of road infrastructure using multiple data sources
• Conduct various validation tests to ensure quality control, including a peer-reviewing process with fellow mapping a, and conduct in-house vehicle simulations
• Investigate and fix map-related issues, conduct testing and update maps upon receiving feedback from the vehicle operations team or reviewing logs from vehicle runs
• Ensure that the annotated maps are ultimately well-validated, road-worthy and accurate while making rides safe, comfortable and error-free
• Identify pickup/dropoff areas to comply with market demand and AV capabilities
• Document and streamline map production and maintenance processes, and ensure that all map annotation best practices are well-documented and adhered to
• Work closely with the mapping software development team to investigate map data issues, report and replicate software bugs, conduct testing and provide useful feedback to improve the mapping software
• Work with engineering teams to identify, document, and prioritize features for engineering development
• Collaborate with product team to help define the company’s operating area
• Provide field support for road operations
• Support global mapping efforts
• Able to travel domestically to target cities for on-the-ground data collection and road study
• Additional duties assigned
  
  

Qualifications:

• Background in working with mapping software, GIS, AutoCAD or other spatial design software
• Bachelor Degree in geography, science, engineering preferred, minimally 6 month  experience with 2 to 5 years of experience highly preferred
• Knowledge of road traffic rules and regulations required
• Highly attentive to quality and detail; experience with QA/QC process preferred
• Enthusiasm for the AV industry as well as safety/mobility is preferred
• Able to present in front of small-medium groups 
• Exemplary organizational and time management skills
• Skilled in Microsoft/G-Suite applications including PowerPoint/Slides, Excel/Sheets, Word/Doc
• Valid driver's license required
• Minimum of at least 6 months of driving experience
  
  

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 of time; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds.

Working Environment:

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

While performing the duties of this job, the team member is regularly exposed to 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/or airborne particles.  The noise level in the environment is low to moderate.

Safety Requirements:

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Motional’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.

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:

A Triage Specialist is responsible for accurately reviewing data that has been collected from, but not limited to Public Road Evaluation (PRE) testing and performing first-level Root Cause Analysis and quality checks for third party Triage Contractors. They communicate between Engineering and component teams and help to improve Triage outcomes. This role will identify gaps and assist in creating processes that will enhance Triage throughput. Efficiency and quality is critical, but ultimately, a Triage Specialist plays a key role in maintaining the safety standards of how the AV performs on the road.

Essential Duties:

• Perform Level 1 Root Cause Analysis (RCA) on several different test modalities, including, but not limited to, public roads, closed courses, and simulation
• Work closely with third-party Triage contractors to help improve quality and throughput
• Closely partner with the Autonomy Team to maintain a rapport for a rapid and iterative feedback loop
• Drive the issue identification, analysis/introspection, mitigation, and reporting lifecycle with the System Performance engineers
• Thoroughly understand the different components of the software stack and maintain knowledge as things change, including expected behaviors and visual representation across various tools
• Show initiative and be a valued team member in our innovative, fast-paced, technical environment where cooperative teamwork across locations is the norm
• Analysis of simulated AV scenarios
• Accurately categorize events into a range of categories and types
• Tag logs to reflect search optimization and metrics which are appropriate for each
• Create and manage events on internal Triage developed tooling
• Investigate any logs that have extenuating circumstances that may have previously prevented a reviewer from completing their task, ending in a fully reviewed log
• Participate in the recurring standup to address new concerns and assignments that may need to be undertaken. This may include new information on which routes need to be prioritized and changes in the Triage process that need to be implemented
• Oversee and aid in the training of new team members and provide feedback on any misidentified incidents, and coach best practices to improve team efficiency
• Provide feedback on newly implemented tools and ways that they have impacted the review process in both a critical and positive manner
• Create and update process documentation as needed 
• Able to travel domestically
• Other duties as assigned
  
  

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The requirements listed below are representative of the knowledge, skill, and/or ability required.

• Enthusiasm for the AV industry as well as safety and mobility
• Be proficient in working across a suite of proprietary software tools and applications
• Ability to understand technical terminology regarding the software stack and each contributing component
• Work in a fast-paced, dynamic environment across multiple time zones with strong communication and collaboration
• Demonstrated problem-solving skills and ability to think logically and remove bias from the evaluation of problems
• Posses a detail-oriented mindset focused on safety
• Strong troubleshooting, debugging, analytical, and creative problem-solving skills
• Have a strong attention to detail and be able to work independently
• Effective time management skills
• Able to analyze data for long periods without sacrificing efficiency and accuracy
• Experience in data quality assurance
• Experience with software engineering concepts, including requirements analysis, source control, and build processes 
  
  

Preferred Qualifications (not required):

• Experience using issue tracking and configuration management tools (E.g: Atlassian Confluence, Jira, Git.)
• Experience with software release management and release testing
• Entry-level experience with Linux and scripting languages (E.g: Bash/Shell, Python)
• Data Analysis experience and SQL
• Experience with the testing of autonomous vehicles
• Thorough understanding of robotics systems, including sensors, actuators, mechatronics, and software systems
  
  

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. This position is not restricted to any one site. You will be responsible for traveling to all domestic and international testing locations.

Travel Requirements (greater than 10%): 

Expected to travel for 1 week 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 are representative of those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.

While performing the duties of this job, the team member is regularly exposed to the office environment, outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate. When occasionally visiting our test sites and tracks, the team member may experience some loud noises and harsh weather conditions. When traveling, the team members will be exposed to airports, airplanes, hotels and public transportation environments.

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:

Motional is seeking a highly technical and results-oriented Product Manager to define, build, and deliver an exceptional fleet operations ecosystem for our internal fleet operations teams. This role demands a deep understanding of software product development, a passion for user-centric design, and a proven track record of shipping complex, customer-facing and operational technical products.

You will be responsible for the product strategy and execution of Motional’s entire fleet operations software tooling. Crucially, you will own Motional’s Command Center application which is responsible for all aspects of fleet management. This is a hands-on role requiring close collaboration with engineering, strategy and operations teams.

Key Responsibilities:

Overall Fleet Operations Tooling Strategy:

• Lead the strategy for unified fleet operations tooling, creating a scalable ecosystem that streamlines vehicle mission management, health monitoring, and customer assistance at every stage of the operational lifecycle.
• Translate insights into clear product requirements and a prioritized backlog that delivers measurable customer and business value.
  
  

Command Center Product Ownership:

• Lead the product definition and development for our Command Center Fleet operations application, including:
   
  •  Config/deployment
  • In-facility bring-up and launch
  • on-road fleet management
  • field support
  • Maintenance
    
    

Technical Product Management & Delivery:

• Author detailed technical product specifications, user stories, and acceptance criteria for engineering teams across customer experience and fleet systems.
• Demonstrate a strong bias for action and a proven ability to drive complex technical projects from concept through launch and iteration in an agile environment.
• Partner closely with software engineering (cloud, embedded, mobile), hardware engineering, AI/ML, and QA teams to ensure features are technically sound, built to specification, and delivered on time.
  
  

Data-Driven Iteration & Optimization:

• Define and meticulously track key performance indicators (KPIs) related to customer satisfaction, engagement, task success rates, operational efficiency, and overall experience quality.
  
  

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, HCI/Human Factors, or relevant technical field
• 5+ years of product management experience with a demonstrable strong technical background, specifically focused on customer-facing software products, operational tools, or complex system integrations.
• Proven history of successfully delivering technically challenging products from initial concept through multiple iterations and commercial launch.
• Deep understanding of software development lifecycles, agile methodologies, and modern software architecture (including cloud-based services and distributed systems).
• Experience with Human-Machine Interface (HMI) design, in-vehicle infotainment (IVI) systems, mobile application development (iOS/Android), platform/API integrations, or operational command and control interfaces.
• Exceptional ability to translate customer and operator needs into detailed technical requirements and effectively communicate them to engineering teams.
• Strong analytical and problem-solving skills, with a meticulous attention to detail.
  
  

Preferred Qualifications:

• Direct experience in the autonomous vehicle, automotive technology, ride-sharing, or logistics/fleet management industries.
• Experience with in-vehicle operating systems (e.g., Android Automotive, QNX), display technologies, and vehicle communication protocols.
• Experience defining, building, and managing APIs for third-party integrations.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and technologies relevant to fleet management and real-time data processing.
• Demonstrated ability to work effectively with both embedded/hardware engineering teams and cloud/mobile software engineering teams.
• A genuine passion for creating innovative, intuitive, and delightful user experiences in emerging technology domains for both end-customers and internal operational users.
• Experience with user research methodologies and usability testing for both consumer-facing and enterprise/operational tools.
  
  

What We Offer:

• A competitive compensation package, including salary, bonus, and equity.
• A unique opportunity to work on industry-defining technology with a world-class team.
• Comprehensive benefits, including medical, dental, vision, and 401(k).
• A collaborative culture that values innovation, safety, and integrity.
• Significant opportunities for professional growth and development in a fast-moving field.
  
  

Equal Opportunity Employer:

Motional is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.

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

Mission Summary:

The Staff Systems Safety Engineer:

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

Essential Duties:

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

Qualifications:

Educational Requirements

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

Technical / Specialized Knowledge, Skills, Abilities:

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

Physical Demands:

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

Working Environment:

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

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

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

Motional’s 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 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.

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.

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

Mission Summary:

Join us on the ground floor as we launch our commercial Autonomous Vehicle (AV) ride service. We are looking for a mission-driven Senior Software Engineer to join our Command Center team. You will be the vital link between our real-world AV operations and our core development team, ensuring our vehicles run smoothly and our technology rapidly evolves.

What will you be doing:

AV operations integration & support

• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• Resolve production incidents to reduce downtime and strengthen feedback loops between on-road operations and global engineering teams.
• Become the go-to technical expert, surfacing operational insights that influence our product roadmap and support commercial launch readiness.

Command Center feature development

• Design and develop software tools that enhance AV fleet operations, including cloud platform, over-the-air deployment, and fleet management systems.
• Build and maintain foundational technologies including ride-hail partner integration and the global scaling of the autonomous vehicle service.
• Collaborate cross-functionally to deliver scalable, efficient solutions aligned with both engineering and operational requirements.

What we're looking for:

• 5+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong Product Mindset: You focus on real-world impact. You can identify bottlenecks within a busy operational workflow and design software solutions that bring order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Experience working independently and collaborating effectively with a globally distributed team across different time zones.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• Comfortable working in a fast-paced, continuous delivery environment.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required):

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

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.

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.

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

Mission Summary:

Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV) ride service. We are seeking a Staff Software Engineer with a strong product mindset to bridge the gap between our Operations partners and our global Engineering team. You will lead the development of critical operational tools—like fleet management and orchestration systems—while shaping the roadmap to ensure our technology meets real-world needs.

What You'll Be Doing:

Hands-on Development & Leadership

• Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services that the Operations team uses daily to monitor and manage the fleet. You will balance long-term scalability with the need for immediate operational solutions.
• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• You will interview and onboard future hires, mentor junior engineers, and define the workflows (handovers, async communication, documentation standards) that enable seamless collaboration between Las Vegas and Singapore.

Product Engineering & Stakeholder Alignment

• Own the "Ops-to-Tech" Bridge: Partner deep with Operations, Product, and TPMs to translate complex, real-world fleet challenges into clear, actionable technical requirements for the global engineering team.
• Shape the Tooling Roadmap: Drive the vision for our fleet management and orchestration systems. You won't just build tickets; you will identify the right problems to solve to increase fleet efficiency and reduce manual toil.
• Feedback Loop Architect: Design processes and features that turn qualitative operational feedback into quantitative data, helping the global team prioritize platform improvements.

What We're Looking For:

• 8+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong "Product" Mindset: You are obsessed with value. You can look at a chaotic operational floor and architect a software solution that brings order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering team to get things done without owning the entire stack.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required): 

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Mission Summary:

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

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

What You'll Do:

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

What We're Looking For:

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

Bonus Points (Nice-to-Haves):

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

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

Role Summary: 

We are seeking a skilled Senior Mechanical Design Engineer to join our team and contribute to the development of power electronics products. The primary function of this position is to design custom machinery and support the entire project cycle from concept development through installation, commissioning, and handover to the operations team. You will work closely with cross-functional teams, including product design, Controls, manufacturing, and test engineers, to ensure efficient performance and reliability in high-power density environments.

Responsibilities:

•  Utilize CAD software CAD software (3D EXPERIENCE (3DX), CATIA, NX, SolidWorks, Creo etc.) to create detailed mechanical designs.

• Model and design complex electro-mechanical parts, including plastics, sheet metal, insulators, magnetic components, and high-voltage connectors.

• Perform mechanical design analysis, including structural FEA, thermal CFD, vibration, and fatigue assessments.

• Solve packaging challenges involving electrical isolation, sealing, thermal dissipation, EMI/EMC shielding, and mechanical shock/vibration.

• Define and execute validation test plans including structural, thermal, and environmental testing.

•  2D drawings with GD&T for production and inspection.

• Create engineering documentation, tolerance stacks, BOMs, and release packages through PLM systems.

• Collaborate cross-functionally with electrical, thermal, Firmware and controls, manufacturing, test, and industrial design teams.

• Work closely with suppliers to optimize DFM, DFA, and tooling strategies for high-volume production.

• Lead prototype development, fabrication, assembly, and mechanical testing of new designs.

• Support root-cause analysis of design issues in pilot or production builds and lead iterative improvements.

• Drive trade studies to inform system-level decisions on design architecture, materials, and manufacturing processes.

• Guide selection for structural, thermal, and electrical compatibility in high-voltage environments.

• Contribute to the layout and design of integrated cooling systems including cold plates, thermal interfaces, and airflow paths.

• Develop assembly procedures and manufacturing instructions to support scalable production.

• Participate in mechanical  FMEA and DVP&R activities across product lifecycle stages.

• Work with quality and reliability teams to meet performance, lifecycle, and safety targets.

Qualifications:

• Bachelor’s or Master’s degree in Mechanical Engineering or a related field.

• 3+ years of experience in mechanical design for power electronics, automotive, industrial, or energy products.

• Expertise in CAD modeling using 3D EXPERIENCE (CATIA V6/V5), SolidWorks, NX, or Creo.

• Deep understanding of mechanical fundamentals—statics, dynamics, heat transfer, and materials.

• Proficiency in GD&T, tolerance analysis, and DFM/DFA principles.

• Experience designing enclosures for IP-rated or outdoor-rated power equipment.

• Experience with high-volume manufacturing processes such as injection molding, die casting, extrusion, and sheet metal forming.

• Working knowledge of materials: metals (aluminum, steel), plastics, ceramics, gaskets, potting compounds.

• Hands-on experience taking designs from prototype through production deployment.

• Familiarity with PLM systems (3D EXPERIENCE, Windchill, etc.) and engineering change workflows.

• Comfortable with root-cause analysis, failure mode resolution, and mechanical reliability testing.

• Strong communication skills and ability to lead cross-functional design reviews and technical deep-dives.

• Prior experience collaborating with suppliers on tooling development, DFM feedback, and tolerance negotiations.

• Familiarity with PCBAs, connectors, and mechanical integration of high-density electronic assemblies.

• Experience with design and test documentation for regulatory standards (UL, IEC, NEC preferred).

• Passion for product innovation, sustainability, and enabling electrification through engineering excellence.

• Willingness and ability to travel up to 15% - 20% including internationally

Bonus Qualifications:

• Strong background in structural, thermal, and vibration analysis using tools like Ansys Mechanical, Fluent, and Maxwell.

• Familiarity with electronics packaging and PCB interface considerations.

• Experience with medium- to high-voltage systems and insulation coordination (creepage, clearance, potting, sealing).

• Experience working in Agile development environments, including task management and sprint planning using Scrum methodologies and tools like Jira. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.