About the Role:

As the Head of Social and Influencer Marketing, you will define and lead Gusto's social and influencer strategy to significantly grow brand awareness, engagement, and consideration among small businesses and their advisors. You will be responsible for building, managing, and developing a high-performing team, overseeing all social channels, content strategy, and end-to-end influencer programs. You’ll work closely with brand, product marketing, sales, and PR teams to ensure a consistent, compelling, and integrated brand voice across all social touchpoints, driving measurable impact on our B2B growth objectives. You’re a visionary leader, deeply analytical, and customer obsessed, with a proven track record of scaling social and influencer initiatives. You will also serve as a leader in Gusto’s AI-native evolution, defining the standards for ethical and high-quality AI usage across all social and brand channels.

About the Team:

This role is a key leadership position within our marketing organization, vital for shaping Gusto's public presence and accelerating growth across direct and indirect channels. We are a team that combines creativity, data-driven insights, and cross-functional collaboration to design campaigns that reach, engage, and convert the right audiences at scale. You will build and empower a team dedicated to fostering vibrant communities and amplifying our message, contributing to Gusto's mission to serve over 400,000 small businesses, and we’re just getting started

Here’s what you’ll do day-to-day:

• Develop and execute a comprehensive social media and influencer marketing strategy aligned with business objectives, brand guidelines, and B2B audience needs.

• Lead, mentor, and grow a team of social media and influencer marketing professionals, fostering a culture of innovation, collaboration, and continuous improvement. This includes acting as an Innovator to build repeatable, documented AI-assisted workflows (e.g., advanced prompt libraries for copy and content ideation, automated testing models) that increase the team’s effectiveness, and conducting regular training to elevate the team's AI fluency.

• Oversee content strategy, creation, and distribution across all owned social channels (e.g., LinkedIn, Meta, YouTube, Tik Tok), ensuring brand consistency and engagement. You are accountable for setting rigorous internal standards to Grade the Output of all AI-generated content for accuracy and brand voice.

• Design, launch, and manage end-to-end influencer programs that drive authentic advocacy, reach new audiences, and generate measurable results for B2B segments.

• Establish and evolve community management best practices, ensuring timely and engaging interactions with our audience.

• Partner closely with Brand, Product Marketing, PR, and Sales teams to integrate social and influencer efforts into broader campaigns and product launches.

• Define key performance indicators (KPIs), conduct regular analysis of social media and influencer performance, and provide actionable insights to optimize strategy and demonstrate ROI. You will strategically Give it to AI by identifying the highest-leverage opportunities for large language models and predictive tools to maximize campaign reach and targeting.

• Proactively champion the Guard the Trust principle by ensuring 100% compliance with Gusto's AI and data policies across all social, influencer, and community programs.

• Manage budgets, agency relationships, and social media tools/platforms effectively.

• Stay abreast of emerging social media trends, platforms, and technologies (including AI advancements) to identify new opportunities for growth and innovation.

Here’s what we're looking for:

• 12+ years of overall marketing experience, with at least 7+ years specializing in social media and influencer marketing, and 3+ years in a leadership role managing a team.

• Proven track record of building and scaling social media and influencer programs for B2B brands, demonstrating measurable growth in awareness, engagement, and lead generation.

• Deep expertise in developing content strategies tailored for various social platforms and audience segments.

• Strong understanding and hands-on experience with social media management platforms, analytics tools, and influencer marketing platforms.

• Exceptional analytical skills: ability to interpret complex social data, measure campaign effectiveness, and translate insights into strategic recommendations.

• A proven track record of operating at the Innovator or Amplifier level of AI fluency. This means moving beyond personal tool usage to define, deploy, and govern AI strategy for the entire function. You must demonstrate expertise in Guiding AI to produce highly effective and on-brand social content at scale, establishing quality assurance processes, and ensuring the team rigorously adheres to compliance and ethical standards.

• Outstanding leadership and people management skills, with experience coaching and developing marketing talent.

• Skilled collaborator with experience working closely with Brand, PR, Product Marketing, Sales, and RevOps teams.

• Exceptional written and verbal communication skills, with the ability to craft compelling narratives and present strategic plans to executive stakeholders.

• BA/BS degree required; MBA or advanced degree a strong plus

Our cash compensation amount for this role is targeted at $169,000 - $200,000/yr in Denver, Phoenix, and Atlanta, and $200,000 - $240,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-Hybrid

Who are we hiring?

The Director, Event Security is responsible for creating a safe working environment for Sphere employees and creating a safe, secure, and friendly environment that supports the highest level of guest service for clients and guests who visit Sphere. Additionally, The Director, Event Security oversees and manages all aspects for event security operations while providing strategic and operational guidance to full-time and part-time event security staff. 

What will you do?

• Develop and implement Standard Operating procedures (SOP), Post Orders, and policies and procedures for event security.
• Manage the administrative process for the completion of event security reporting to include incident reports, event security plans, event summaries, event flash reports and other security related reporting.
• Oversee all administrative tasks for the security staff such as training, progress, discipline reports, ect…
• Conduct security investigations as directed by senior MSG staff and respond in a timely and effective manner to security incidents and emergencies, including review and analyzation of CCTV footage.
• Act as a liaison to the venue General Manager, internal departments, attend event production meetings with other MSG units to define security requirements and needs for all venue events.
• Manage the event security budget and employee management systems, which includes budget forecasts for event security staffing levels in collaboration with Finance and Booking groups.
• Collaborate with internal and external partners to maximize budgeted results and maintain optimal operating efficiency.
• Build relationships with local law enforcement, talent and security representatives, client representatives and other relevant stakeholders, organizations and agencies.
• In partnership with MSG’s learning and development team, provide regular, recurring and remedial security training opportunities and establish a staff development training program for event security staff that includes an event security exercise training program to include regular tabletop and functional exercises.
• Perform any and all other loosely related security duties as directed to accomplish the overall security mission at MSG venues which includes liaising and coordinating with other Threat Management Division units on operational security requirements and needs.

What do you need to succeed?

• The ideal candidate will have a minimum of 4 - 6 years security operations and management experience and knowledge of events, sports, or theatre operations within a sizeable entertainment venue (candidates with comparable experience in other corporate security and management fields may be considered).
• Four-year degree in Criminal Justice, Security Management, Business Administration or another related field preferred.
• Ability to develop and execute company and departmental standard operating procedures (SOP’s), and effectively articulate and manage security budgetary initiatives, including a minimum of 3 years’ experience managing budgets and executing third party contracts.
• Knowledge of CCTV, surveillance equipment, radio communication systems, and life safety systems and fire codes.
• Extensive experience working alongside local and state public safety agencies as well as managing in a union environment and participation negotiating collective bargaining agreements.
• Proven ability to assess, develop and successfully execute strategic internal and external security plans and quickly adapt to change as required by events.
• Excellent verbal and written communication, organizational and time management skills required, ideally working alongside C-Suite Executives.
• Must have the ability to work independently and use sound business judgment while dealing with tact, diplomacy and a commitment to company values.
• Adept at maintaining a positive, open, approachable, and professional relationship with a diverse group of people.

SUPERVISION: 

• Manager(s), Event Security
• Supervisor(s), Event Security
• Event Security Officer Staff

Special Requirements

• Must be able to work a flexible schedule, and extended hours, inclusive of weekends, nights and holidays required.
• Frequent typing with repetitive motion, sitting, and extensive walking through the building required.
• Ability to travel to other venues to support the Threat Management team as needed.
• Certifications

• NV Alcohol Awareness Card
• LVMPD – Unarmed Security Work Card

#LI-Onsite

Why this role is exciting

As a Product Marketing Manager at Vay, you aren’t just launching a product; you are pioneering a fundamental shift in mobility through teledriving technology. You will operate at a high-velocity pace, translating complex remote-driving systems into a seamless consumer experience as the company scales its fleet across global markets.

This role offers a unique growth trajectory, placing you at the intersection of deep-tech innovation and urban infrastructure. You will be responsible for defining the go-to-market strategy for a service that is actively redefining vehicle ownership and on-demand transportation on a massive scale.

What you’ll be driving

At Vay, the role of a Product Marketing Manager is about more than just managing a launch; it is about steering a fundamental shift in how the world moves. You will be at the helm of three critical pillars:

1. Architecting the Growth Engine - You are driving the entire lifecycle of the user journey, moving far beyond simple awareness to own the product funnel optimization. By diving deep into conversion data and user behavior, you will identify friction points in the "magic" moment—when a teledriven car arrives at a user's door—and engineer seamless onboarding experiences. Your goal is to turn initial curiosity into high-retention habits, ensuring that as the fleet scales across global markets, the unit economics and user growth scale right along with it.

2. Strategic Product Co-Creation - You serve as the vital bridge between the market's pulse and the product and engineering roadmap, moving past traditional marketing to collaboratively build the future of mobility. By translating complex technical breakthroughs into high-impact consumer features, you work hand-in-hand with Product teams to ensure the roadmap solves real-world urban pain points. You aren't just selling what has been built; you are an active architect of the product itself, ensuring every new iteration is grounded in user needs and massive market potential.

3. Category Education and Trust - Since teledriving is a brand-new frontier, you are driving the narrative of a new mobility category. This involves a sophisticated educational strategy that demystifies remote-driving technology and builds deep, unwavering consumer trust in the "human-in-the-loop" safety model. You will be responsible for educating both new and existing users on the full breadth of the Vay ecosystem—turning early adopters into lifelong advocates who understand not just how the technology works, but why it is the most efficient way to navigate a modern city.

What are we looking for

• Proven experience in Product Marketing within a scaling, high-complexity tech environment (mobility, marketplaces, or high-growth SaaS preferred).

• Strategic GTM Lead with a track record of owning end-to-end product launches—from initial positioning and messaging to full-scale market adoption.

• Analytical Rigor: You are obsessed with the funnel. You can dissect conversion data to identify friction points and implement optimization strategies that drive growth.

• A "Voice of the User" Advocate: You have a deep-seated ability to translate messy customer signals and qualitative research into actionable product insights and compelling value propositions.

• Cross-Functional Bridge: You speak the languages of Product, Design, and Engineering fluently, ensuring that user experience and business goals remain aligned during the development cycle.

• Technical & Creative Fluency: You are comfortable diving into product analytics tools (like Amplitude or Mixpanel) but can also collaborate with designers to create high-impact visual storytelling.

• Agile Mindset: You thrive in startup environments where you must balance "big picture" strategy with the hands-on execution required to hit aggressive KPIs.

• Exceptional Communicator: You can take a complex technical feature and turn it into a simple, "must-have" benefit for the end user.

Why choose Vay

💪A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary.

🌴 Unlimited Paid Vacation Days

🎫 401(k) programme

🏥 Health, Dental & Vision Insurance 

🚗 All Vay team members receive 30% off their Vay rides

🏋️‍♂️ Wellness Hub free gym access & wellness app subscriptions

🛍️ Exclusive external discounts

✈️ Relocation financial assistance when relocating to Las Vegas 

🎊 Regular team events throughout the year

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

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.

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

Mission Summary:

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

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

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

Responsibilities

• Develop and operationalize GTM strategy for efficient new market penetration
• Create, build, and manage relationships with referral sources across priority markets
• Go in the field 4 - 5 days/week to lead meetings with patients, parents, and providers to uncover needs, address barriers to treatment, and cement community partnerships
• Design strategies to better support and engage referral partners across different channels
• Deepen Charlie Health’s penetration across existing partnerships
• Attend and lead various educational meetings, marketing presentations, and networking events both in person and via conference call
• Synthesize and share market feedback from partners, patients, and stakeholders to inform go-forward marketing and product strategies
• Work closely with internal partners including marketing, product, client success, and legal to deliver on GTM goals

Requirements

• Must be based in the Las Vegas, NV area
• Must be fluent in English 
• You have 1-4 years proven sales experience - owning & overachieving KPIs is a plus
• Experience working with or selling to healthcare organizations a plus
• Ability to travel locally with reliable transportation & valid drivers license (within ~1 hour driving distance) 4-5 days/week for meetings with potential referral partners 
• Ability to energize, advise & persuade senior corporate personnel 
• Strong interpersonal, relationship-building and listening skills, with a natural, consultative style
• Strong project management skills, with a demonstrable ability to corral and manage details in a fast-paced, fluid environment
• Experience with Microsoft Office, Salesforce & Zoom is a plus

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. 

Additional Information

The total target base compensation for this role will be between $65,000 and $80,000 per year at the commencement of employment. In addition to base compensation, this role offers a target performance-based bonus. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. #LI-HYBRID

Responsibilities

• Develop and operationalize GTM strategy for efficient new market penetration
• Create, build, and manage relationships with referral sources across priority markets
• Go in the field 4 - 5 days/week to lead meetings with patients, parents, and providers to uncover needs, address barriers to treatment, and cement community partnerships
• Design strategies to better support and engage referral partners across different channels
• Deepen Charlie Health’s penetration across existing partnerships
• Attend and lead various educational meetings, marketing presentations, and networking events both in person and via conference call
• Synthesize and share market feedback from partners, patients, and stakeholders to inform go-forward marketing and product strategies
• Work closely with internal partners including marketing, product, client success, and legal to deliver on GTM goals

Requirements

• Must be based in the Las Vegas, NV area
• Must be fluent in English 
• You have 1-4 years proven sales experience - owning & overachieving KPIs is a plus
• Experience working with or selling to healthcare organizations a plus
• Ability to travel locally with reliable transportation & valid drivers license (within ~1 hour driving distance) 4-5 days/week for meetings with potential referral partners 
• Ability to energize, advise & persuade senior corporate personnel 
• Strong interpersonal, relationship-building and listening skills, with a natural, consultative style
• Strong project management skills, with a demonstrable ability to corral and manage details in a fast-paced, fluid environment
• Experience with Microsoft Office, Salesforce & Zoom is a plus

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. 

Additional Information

The total target base compensation for this role will be between $65,000 and $80,000 per year at the commencement of employment. In addition to base compensation, this role offers a target performance-based bonus. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. #LI-HYBRID

Mission Summary:

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

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

Key Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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

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

Mission Summary:

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

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

Key Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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

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

Mission Summary:

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

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

Key Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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

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

About the role:

This is a high energy role in which you will bring the Internet of Things to small to medium size customers, building Samsara's business and bringing the benefits of sensor data to customers. Typical sales will be $5k to $20k, and typically involve proof of concepts, multiple stakeholders, multi-faceted pricing negotiations, and selling to owners, safety and operational managers.

This is a remote position open to candidates residing in the US.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• Your mantra is #alwaysbeprospecting: The world of operations is vast. Your customers are often out in the field and the best way to catch them is live on the phone. Samsara’s top reps do constant research to find companies and contacts to expand their pipeline.
• You have innate curiosity in how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 
• You are a life-long learner: Samsara sales are complex. You will need to learn about businesses where you previously had little knowledge. The payoff is big but you have to be willing to put in the work. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance Sales culture means you’ll be surrounded by the best and challenged to go farther than you have before. 

In this role, you will: 

• Own customer engagements end-to-end, from prospecting and qualification to close.
• Generate pipeline through strategic outbound prospecting, as well as receive inbound leads from our account development team.
• Target accounts with 11-30 vehicles. 
• Experience handling and owning transactional sales process with high volume demands.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for this role:

• 1+ years of experience in a closing sales role

An ideal candidate has:

• Proven track record of consistent quota achievement
• Experience selling in the commercial space - small to medium deals sizes
• Experience with high-volume cold calling
• Experience in fast-paced, transactional sales
• Must demonstrate a growth mindset and a willingness to be collaborative with your teammates and in your selling process
• SFDC familiarity

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

What you’ll be doing:

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

What we’re looking for:

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

It's a bonus if you have:

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

Why You Should Join Us:

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

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

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

What you’ll be doing:

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

What we’re looking for:

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

It's a bonus if you have:

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

Why You Should Join Us:

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

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

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

As a Senior Sales Engineer, Public Safety (Mountain or Pacific Region), you are both a technical expert and a storyteller. You’ll work closely with Account Executives (AEs), Regional Sales Managers (RSMs), and customers to translate complex technical requirements into compelling solutions. You will lead discovery, configure and demonstrate our platform, manage technical validations, and ensure a smooth handoff to post-sales implementation.

This role is ideal for someone who understands the intersection of technology, public safety operations, and customer success, and who thrives in a mission-driven, fast-paced environment.

What You’ll Do

Pre-Sales Solutioning

• Partner with AEs and RSMs to qualify opportunities, understand customer challenges, and design tailored technical solutions.
• Conduct in-depth discovery with 911 centers, emergency management agencies, and public safety IT teams.
• Deliver engaging product demonstrations, technical workshops, and proof-of-concept sessions tailored to the agency’s environment.
• Lead and respond to RFPs, RFIs, and security questionnaires with accuracy and professionalism.
• Translate complex technical concepts into clear, benefit-focused explanations for non-technical audiences.

Technical Leadership

• Serve as the subject-matter expert for Prepared’s platform architecture, integrations, APIs, and data workflows.
• Provide configuration and system design guidance based on customer requirements, existing CAD/NG911 systems, and IT infrastructure.
• Advise agencies on best practices for network security, system interoperability, and deployment planning.
• Stay up-to-date with public safety software trends, standards (NG911, CAD, RMS, PSAP operations), and competitor offerings.

Sales Enablement & Collaboration

• Work alongside Sales, Product, and Engineering to continuously improve our demo environments, messaging, and field readiness.
• Collect and relay customer feedback to influence product roadmap and technical documentation.
• Support proposal teams with technical content, diagrams, and specifications.
• Assist marketing and partner teams in developing technical collateral, webinars, and events.

Customer Advocacy

• Build trust with agency decision-makers, IT administrators, and operations leaders by demonstrating deep understanding of public safety workflows.
• Ensure technical confidence throughout the sales cycle to accelerate buying decisions.
• Represent Prepared at tradeshows, conferences, and industry events as a technical ambassador.

What You Bring

• 8+ years of progressive experience in public safety, emergency communications, or PSAP operations, with senior-level leadership experience strongly preferred (Director, Assistant Director, Executive Director, or equivalent).
• Demonstrated experience selling, implementing, or enabling public safety software (e.g., NG911 call handling, CAD, RMS, ESInet, radio systems, mass notification, or emergency communications platforms).
• Proven ability to operate as a field-facing technical advisor to Sales—owning discovery, solution design, demonstrations, technical validation, and RFP/RFI responses end-to-end.
• Deep understanding of PSAP workflows, operational constraints, funding models, procurement cycles, and compliance environments, including experience presenting to boards, executives, and elected officials.
• Strong technical fluency across cloud-based platforms, integrations/APIs, network infrastructure, data workflows, and system interoperability within public safety environments.

Additional Requirements

• Track record of building credibility with PSAP directors, IT leadership, emergency management leaders, and dispatch supervisors through consultative, trust-based engagement.
• Experience partnering cross-functionally with Product and Engineering to influence roadmap priorities based on real-world PSAP needs.
• Comfortable operating in high-growth, ambiguous environments with minimal playbooks—able to create structure, demo narratives, and field enablement materials where needed.
• Exceptional executive communication and storytelling skills—able to translate technical capability into operational ROI and mission impact.
• Willingness to travel up to 75% and represent Prepared as a technical ambassador at industry conferences and customer events.

Public Safety Technology & Systems Expertise

Candidates who are well-positioned for success in this role typically bring hands-on experience working with the core technology systems that power emergency communications centers.

This may include experience with:

• 911 call handling systems (CHE) such as VESTA, Viper, or Solacom
 • Computer-Aided Dispatch (CAD) platforms used to manage emergency response workflows
 • Radio console systems supporting multi-agency communications
 • Logging recorders used for call review, compliance, and operational analysis
 • Network and traffic analysis tools, such as Wireshark, used to troubleshoot system performance and integrations

Successful candidates often have direct experience supporting, configuring, troubleshooting, or operating these systems within PSAPs, ECCs, or other mission-critical public safety environments.

Work Location

This is a fully remote role open to candidates based in the United States. Candidates located in the Mountain or Pacific regions are strongly encouraged to apply. Due to the nature of the position, up to 75% travel is required, including customer meetings, training sessions, and industry events.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Pay Transparency

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base salary for this role ranges from $110,000 to $160,000 annually, excluding commission and bonuses, and varies based on geographic market. Actual base pay will depend on several factors, including level, function, training, transferable skills, work experience, business needs, and location.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

Why this role is exciting

As a Senior IT Administrator, you’ll play a central role in keeping Vay’s internal systems running smoothly across all departments, from legal to engineering. This is a highly autonomous position where you’ll own critical tools and services that directly enable company-wide productivity. We’re hiring to replace a key team member, making this a high-impact opportunity to step in and shape IT operations during a growth phase. You’ll collaborate with a diverse, high-performing team while supporting cutting-edge mobility technology.

What you’ll be driving

In this role, you’ll ensure seamless IT operations across the US organization while improving efficiency through automation and strong systems management.

• Install, configure, and maintain hardware and software across the organization
• Manage internal network services and core technology tools
• Administer user accounts, including Google Workspace and Atlassian products
• Automate internal IT processes to improve efficiency and reduce manual work
• Provide helpdesk support, resolving issues related to applications, services, and equipment
• Maintain and improve internal IT documentation and policies for clarity and accessibility

What are we looking for

We’re looking for a hands-on IT professional with strong troubleshooting skills who thrives in a fast-paced, cross-functional environment.

• 3–7 years of experience in IT administration or helpdesk roles
• Experience managing Google Workspace and Atlassian (Jira/Confluence)
• Proficiency in Windows and macOS administration
• Strong problem-solving and troubleshooting mindset
• Excellent communication skills across technical and non-technical teams
• Experience automating processes or improving IT tooling
• Scripting or programming experience, nice to have 

Why choose Vay

💪A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary.

🌴 Unlimited Paid Vacation Days

🎫 401(k) programme

🏥 Health, Dental & Vision Insurance 

🚗 All Vay team members receive 30% off their Vay rides

🏋️‍♂️ Wellness Hub free gym access & wellness app subscriptions

🛍️ Exclusive external discounts

✈️ Relocation financial assistance when relocating to Las Vegas 

🎊 Regular team events throughout the year

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

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

What You'll Do

Technical Leadership and Strategy

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

Management and Team Growth

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

Collaboration and Execution

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

What We're Looking For

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

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

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

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

What You'll Do

Technical Leadership and Strategy

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

Management and Team Growth

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

Collaboration and Execution

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

What We're Looking For

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

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

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

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

What You'll Do

Technical Leadership and Strategy

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

Management and Team Growth

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

Collaboration and Execution

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

What We're Looking For

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

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

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.

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 Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional’s driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
• Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
• Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
• Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
• Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
• Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.
  
  

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

• BS or MS in Computer Science, Machine Learning, or a related field.
• Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
• Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
• Working knowledge of version control, unit testing, and basic software design patterns.
• Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
• A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
• A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.
  
  

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.
• Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)
  
  

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:

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.

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

Success Metrics:

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

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

Physical Demands:

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

Travel Requirements (greater than 20%):

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

Working Environment:

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

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

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

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

Success Metrics:

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

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

Physical Demands:

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

Travel Requirements (greater than 20%):

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

Working Environment:

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

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

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

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

Success Metrics:

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

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

Physical Demands:

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

Travel Requirements (greater than 20%):

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

Working Environment:

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

Motional 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:

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.

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.

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:

The Director of AV Testing Operations is a senior leader responsible for shaping and executing the vision, strategy, and performance of Motional’s global test operations. Reporting to the Senior Director of Operations, this role drives the safe, reliable, and efficient operation of Motional’s AV testing and commercial fleet. This role is responsible for addressing any fleet resource bottlenecks, rapidly implementing required hardware changes and managing daily requirements of fleet systems for operational readiness. As a strategic leader, you will oversee cross-functional teams, establish scalable operational frameworks, and build strong partnerships across engineering, program management, and fleet operations. You will champion a culture of safety, accountability, and innovation while ensuring that Test Operations directly enables Motional’s roadmap toward commercialization and a driverless future.

What You’ll Be Doing:

• Strategic Leadership: Define and execute the long-term vision for Test Operations, aligning resources, people, and processes with company objectives and commercialization milestones.
• Strategic Roadmap: Define and execute the global fleet strategy, ensuring infrastructure and resources are positioned for market expansion.
• Organizational Oversight: Lead, develop, and inspire a multi-level organization of managers, supervisors, and operators across multiple test sites, ensuring growth, accountability, and performance at every level.
• Operational Excellence: Establish and refine policies, SOPs, and key performance metrics that ensure safety, efficiency, and reliability of all testing activities.
• Executive Collaboration: Partner closely with senior leaders in engineering, safety, and product to ensure seamless integration of vehicle testing into Motional’s development and deployment lifecycle.
• People Development: Build and sustain talent pipelines, mentor emerging leaders, and implement workforce strategies that support long-term growth and retention.
• Innovation & Efficiency: Champion continuous improvement by deploying new tools, technologies, and operational models that enhance scalability and cost-effectiveness.
• Cross-Functional Engagement: Represent Test Operations in executive forums, customer demos, regulatory engagements, and strategic initiatives such as new market entries and partnerships.
• Data-Driven Innovation: Integrate and utilize data driven analytics to transform fleet maintenance from reactive to proactive, enhancing overall vehicle lifecycle value.
• Regulatory Compliance: Ensure all fleet operations meet or exceed global safety standards and local regulatory requirements for autonomous vehicle deployment.
• Cultural Leadership: Drive a culture rooted in safety, accountability, and collaboration while embodying Motional’s values.
  
  

What We’re Looking For:

• 10+ years of progressive leadership experience in operations, test engineering, program management, or related technical domains, including at least 5 years in a senior leadership (Director or above) capacity.
• Demonstrated ability to thrive in ambiguity, balancing operational planning with tactical execution
• Demonstrated success leading large, distributed teams in a complex technical or R&D environment.
• Strong track record of influencing across executive leadership, building cross-functional alignment, and delivering results at scale.
• Expertise in performance management, organizational design, and workforce development.
• Proven ability to implement strategic initiatives that drive measurable improvements in safety, quality, and efficiency.
• Exceptional executive communication, public speaking, and stakeholder management skills.
• Bachelor’s degree required; advanced degree preferred (Engineering, Operations Management , or related field).
• One of the following certifications in; PMP, PgMP, CSM, ISO 9001/45001, CSM (Preferred).
• Flexibility to travel domestically up to 25%.
  
  

Bonus points (not required):

• Experience in the Autonomous Vehicle or Automotive industry.
• Familiarity with AV-specific hardware stacks (Lidar, Radar, Cameras) and calibration workflows.
• Direct experience with ISO 26262 (Functional Safety) or developing Safety Management Systems (SMS).
• Experience with DOT, NHTSA, or state-level DMV regulators.
  
  

Physical Demands & Working Environment:

This role requires the ability to interface with both office and field environments. While primarily office-based, the Director of AV Testing Operations may be present at test facilities, requiring the ability to safely operate and ride in autonomous vehicles, oversee vehicle inspections, and engage in field operations as needed. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

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

Mission Summary:

The Remote Vehicle Assistance Agent monitors live data and provides remote assistance to Motional vehicles in autonomous mode when they encounter unknown situations. Using proprietary software tools, agents interact with the AV and provide context and assistance to allow the vehicle to continue its mission - no steering wheel required. 

What you'll be doing:

• Monitor Motional autonomous vehicles (AV) operating on closed courses and public roads
• Assist in the AV decision making with real world events to ensure safe and efficient paths of travel
• Monitor AV camera feed to ensure the cameras and AV are functioning properly
• Monitor AV systems to ensure AV and systems are functioning properly
• Provide support to AV in real time to assist with direction or safety of travel
• Work closely with various engineering teams for system testing and testing of new scenarios
• Work closely with design teams to support development of functions and performance of AV
• Interact with AV to resolve tickets and issues through various software and hardware
• Reporting of system functionality issues to management in a timely manner
• Other duties as assigned
  
  

What we're looking for:

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 knowledge, skill and/or ability required.

• Strong collaboration skills
• Proficiency in G-suite applications
• Independent, detail-oriented and exemplary organizational and time management skills
• Strong capability in analytical/ problem solving 
• Excellent written and verbal communication skills
• Prior experience as an Operator/Driver for Autonomous Vehicles, including some type of internal or external training on Autonomous Vehicle technology is preferred
• Basic working-knowledge of Autonomous Vehicle technology
• Experience and training on providing subjective feedback on vehicle behaviors and environment
• Local knowledge of city of streets, geography and environmental features that may be challenging for Autonomous Vehicles
• High school diploma or equivalency
• Able to work days, nights and weekends
• Must be able to use company communication systems and communicate clearly and effectively both written and verbal
• Must be able to read a map and possess and/or learn traffic laws for locations where AV operate
  
  

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; 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.

• Requires near/far/depth and color vision to safely assist Autonomous Vehicles and computer screens
• Able to stay awake and alert on shift at all times
• Able to sit/stand for up to 10 hours at a desk
  
  

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.

The job operates in a combination of a professional office environment and the garage where company vehicles are stored and repaired.  This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.  While performing some duties of this job, the employee is occasionally exposed to vehicle related fumes or airborne particles, moving vehicles and noise levels vary depending on the location within the building.  This position will also spend time outside as well as at our training tracks.

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.

This role is based in our Las Vegas office and requires on-site 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.