Role Summary
In this role, you will drive end-to-end reliability for our Solid-State Transformer (SST) platform, from concept to field deployment. You will lead cross-functional teams to mitigate program risks via Failure Mode and Effects Analysis (DFMEA)/Fault Tree analysis (FTA) and set clear reliability benchmarks for supplier selection. By developing advanced Physics-of-failure (PoF) modeling and performing expert-level RCA, you will ensure our hardware meets the demanding lifetime required for modern energy infrastructure. 

Responsibilities: 

• Assist in the setup and execution of reliability test plans for SST’s, including thermal mapping and accelerated life testing. 

• Utilize statistical methods to analyze test data, identifying trends in component or system-level failures. 

• Participate in DFMEA sessions, helping to document risks and track mitigation actions. 

• Perform initial root-cause analysis on failed components using lab equipment (microscopes, X-ray, etc.) and coordinate with senior engineers on complex investigations. 

• Assist in building reliability block diagrams and basic PoF models to predict product lifetime. 

• Work closely with the Design and Manufacturing teams to communicate test results and ensure reliability targets are met. 

• Maintain detailed records of test procedures, lab results, and reliability reports for key milestones. 

• Ability to travel occasionally to different facilities to support hardware deployment and testing. 

Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering. 

• Strong understanding of power electronics fundamentals and circuit analysis. 

• Basic familiarity with reliability statistics (Weibull distribution, MTBF) and a desire to master advanced Bayesian and Monte Carlo methods. 

• Comfortable working in a high-voltage lab environment; experience with basic diagnostic tools (Oscilloscopes, Multimeters). 

• Interest in learning reliability tools such as ReliaSoft (Weibull++, ALTA) or simulation software like Ansys Sherlock. 

• Basic proficiency in Python, MATLAB, or R for data processing and automation. 

• Excellent written and verbal skills; ability to translate complex data into clear, actionable updates for the team. 

• A "first principles" thinker who is eager to learn and thrives in a fast-paced hardware startup environment. 

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

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

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

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

Mission Summary:

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

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

What You'll Do:

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

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

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

Bonus Points (Nice-to-Haves):

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

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

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273373874

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Motional’s 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:

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

Key Responsibilities:

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

Qualifications:

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

Preferred Qualifications:

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

Physical Demands:

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

Working Environment:

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

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

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

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

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

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

Success Metrics:

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

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

Physical Demands:

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

Travel Requirements (greater than 20%):

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

Working Environment:

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

Motional’s 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.

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

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

Mission Summary:

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

What You'll Be Doing:

Hands-on Development & Leadership

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

Product Engineering & Stakeholder Alignment

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

What We're Looking For:

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

Bonus Points (not required): 

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

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

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

Mission Summary:

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

What will you be doing:

AV operations integration & support

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

Command Center feature development

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

What we're looking for:

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

Bonus Points (not required):

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

Mission Summary:

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

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

What You'll Do:

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

What We're Looking For:

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

Bonus Points (Nice-to-Haves):

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

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

Mission Summary:

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

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

Essential Duties:

Technical Leadership & Validation:

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

Test Infrastructure & Analysis:

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

Quality Assurance & Compliance:

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

Collaboration & Mentorship:

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

Strategic Adaptation & Support:

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

Required Qualifications:

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

Preferred:

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

Physical Demands:

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

Working Environment:

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

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

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

Mission Summary:

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

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

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

What you'll work on:

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

What we're looking for:

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

Bonus points:

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

Physical Demands

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

Working Environment

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

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

Role Summary:
We are seeking a Senior Technical Program Manager (TPM), Firmware to oversee complex programs involving embedded firmware on microcontrollers. This role requires orchestrating cross-functional execution across firmware engineering, software, hardware, product, quality assurance, and system integration teams. You will own program scope, schedules, risk management, and delivery quality across multi-release program roadmaps.

Responsibilities:

• Lead cross-functional collaboration across firmware engineering, software development, hardware engineering, product management, QA, and system integration to drive successful execution of embedded and application-level software development.
• Oversee program scope, schedules, and resource allocation for firmware initiatives, ensuring deliverables meet timeline, quality, and budget expectations.
• Communicate program status, critical issues, and milestones to executive leadership and cross-functional stakeholders, ensuring alignment, visibility, and transparency.
• Drive firmware feature planning, milestone tracking, and integration timelines in coordination with hardware and systems development teams.
• Identify and mitigate risks related to firmware dependencies, release timelines, and cross-functional integration, ensuring all cross-dependency risks impacting firmware development are captured and highlighted.
• Collaborate with product teams to define firmware requirements, roadmaps, and success metrics aligned with product goals.
• Monitor program costs and resourcing needs, identifying opportunities for efficiency, reuse, and reduced overhead.
• Improve program management processes, tools, and best practices specific to firmware development to enhance execution, scalability, and transparency.
• Support release and validation processes by partnering with QA, release engineering, and support teams to manage timelines, testing coverage, and issue resolution for software deliverables.

Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience in embedded systems, firmware, or software development.
• 5+ years of experience in technical program management or engineering leadership roles, with a strong focus on software and/or firmware-based products.
• Proven success managing complex software/firmware programs involving multiple teams, timelines, and cross-functional coordination.
• Strong understanding of the software development lifecycle (SDLC), Agile methodologies, and firmware development practices.
• Experience working within engineering organizations that develop products integrating hardware, embedded firmware, and application software.
• Strong leadership and organizational skills, with the ability to influence across multiple levels and disciplines.
• Excellent written and verbal communication skills, with the ability to bridge technical and non-technical stakeholders.
• Comfortable operating in fast-paced environments with rapidly shifting priorities and evolving requirements.
• Experience with Atlassian tools (Jira, Confluence) and Agile frameworks (Scrum/Kanban).
• Preferred: Experience with GitHub, AWS, observability tools, and Python.
• Willingness to travel up to 20%, including international travel.

Tools & Platforms (Preferred Exposure):

• Planning & Collaboration: Jira, Confluence, Scrum/Kanban
• Code & CI/CD: GitHub (Projects, Actions), release pipelines
• Cloud & Infrastructure: AWS (IAM, EC2, ECS, Lambda basics)
• Observability: Metrics, logs, and tracing tools (e.g., CloudWatch, Grafana, Sentry)
• Scripting & Automation: Python for data wrangling, reporting, and tooling
• Hardware/Firmware Context: Microcontroller-based firmware, board bring-up, system integration

Why this role is exciting

This is a high-impact role at the intersection of data science, mapping, and real-world mobility systems. You’ll work on the data and algorithms that define how Vay’s vehicles navigate cities safely and efficiently within our Operational Design Domain (ODD). Your work will directly unlock our ability to scale to new cities, improve routing performance, and solve complex real-world challenges in a rapidly evolving mobility environment.

What you’ll be driving

In this role, you will play a critical part in advancing Vay’s mapping and routing capabilities using data science and machine learning approaches.

• Develop automated approaches to map augmentation using video, connectivity, trip data, and open datasets such as OpenStreetMap.

• Build data science solutions that accelerate map creation and updates for new cities where Vay launches.

• Design and develop routing simulation tools to discover optimal strategies for improving ETA and ATA accuracy.

• Lead and contribute to initiatives within the Operational Design Domain (ODD) data science pod.

• Identify and automate inefficiencies in map generation workflows to enable faster and more frequent updates.

• Work cross-functionally with engineering, operations, and product teams to implement and deploy production-grade solutions.

• Help scale the impact of the data science team by driving key initiatives and reducing knowledge concentration on critical ODD topics.

What are we looking for

We’re looking for a data scientist who enjoys solving complex real-world problems and turning experimental ideas into production systems that power next-generation mobility.

• Strong experience applying data science or machine learning techniques to real-world problems.

• Ability to write high-quality, production-grade code.

• Experience building and deploying applied data science solutions across the full lifecycle—from concept to implementation and rollout.

• Strong Python experience and familiarity with modern data science workflows (e.g., Jupyter, GitHub, cloud compute environments).

• Experience working with geospatial data, routing systems, or map-based datasets is highly valuable.

• Comfortable working cross-functionally and owning complex initiatives in a fast-moving environment.

Nice to have

• Prior engineering experience or strong software engineering foundations.

• Experience with technologies such as Spark, TensorFlow, PyTorch, or similar ML frameworks.

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

💼 $350 Home office budget 

✈️ Relocation financial assistance when relocating to Las Vegas 

🎊 Regular team events throughout the year

Why this role is exciting

As (Senior) Fleet Support Engineer, you will be instrumental in maintaining, managing and optimizing our platform and network infrastructure for Vay’s commercial driverless fleet in Las Vegas. This role requires a unique combination of superb debugging skills, technical expertise, network configuration and troubleshooting. You'll be driving continuous improvement in our system, ensuring robust monitoring and alerts and providing L1 support for our commercial, driverless fleet. Your role is pivotal in maintaining the efficiency and reliability of our vehicle and remote driving station fleet which leads to high quality service that our users love.

What you’ll be driving

• L1 support and on-call for incidents and customer support requests involving vehicles, remote driving stations, equipment, network and cloud infrastructure and fleet configuration.
• Vehicle and remote driving station network infrastructure maintenance
• Supporting bring-up of new vehicle and remote driving stations

What are we looking for

• Extensive Linux experience
• Strong debugging skills for large, complex systems
• Experience in Python and bash scripting
• Experience with on-premise network maintenance and troubleshooting
• Experience with CI/CD tools (namely GitHub, CircleCI, Jenkins)
• Understanding and experience in Docker

Nice to have

• Experience in C and/or C++
• Understanding of CAN protocol 
• Familiar with network security concepts
• Familiar with mobile network and telecommunication technologies (4G/5G)

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

Responsibilities:

• Build, execute, and maintain robust information security systems and controls on an ongoing basis

• Implement and manage endpoint protection (EDR) and SIEM solutions across the organization.

• Develop and execute phishing simulations and security awareness training programs for employees.

• Configure and maintain email security and data loss prevention (DLP) tools.

• Lead incident response efforts, including detection, triage, and remediation of security events.

• Secure the company’s web application and ensure robust security for all SaaS platforms in use.

• Coordinate vulnerability scanning and remediation efforts across all IT assets.

• Establish and enforce security policies, standards, and procedures, including identity and access management (IAM) best practices.

• Collaborate with engineering and IT teams to integrate security into development and operational workflows.

• Prepare for compliance audits and risk assessments, with a focus on NERC CIP standards.

• Mentor and eventually manage a small team of cybersecurity professionals.

Qualifications:

• 5+ years of experience in cybersecurity engineering or related roles.

• Proven experience with endpoint protection/EDR tools (e.g., CrowdStrike, SentinelOne, Carbon Black).

• Deep understanding of operating system internals and network communication at the hardware level

• Hands-on experience with phishing simulation platforms and security awareness training.

• Strong knowledge of email security, DLP, incident response frameworks, and IAM principles.

• Familiarity with securing web applications and SaaS environments.

• Understanding of NERC CIP compliance requirements and their application in the electric power industry.

• Able to read and write code across multiple languages (Python, Bash, C/C++, Rust, Golang)

• Ability to work independently in a startup environment and build processes from scratch.

• Excellent communication and leadership skills; prior experience mentoring or leading a team is a plus

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

Overview

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

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

What You’ll Do

Warehouse Design & Engineering

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

MHE & Automation Engineering

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

Capacity Modeling & Data Analysis

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

Financial Analysis & Business Case Development

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

Launch Support & Continuous Improvement

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

What You’ll Need

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

Preferred Qualifications

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

Key Attributes

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

FSR Analyst

Minimum Secret Clearance Required

Locations: 

• Miami FL,
• Bragg NC,
• Vandenberg CA,
• CO Springs CO,
• Hawaii,
• Las Vegas NV,
• Newport News VA,
• San Diego CA,
• Camp Lejune NC,
• Washington DC,
• Shreveport LA
• Jacksonville FL,
• Tucson, AZ
• Fort Walton Beach, FL
• San Francisco, CA
• Juneau, Alaska

PVM, Inc. is looking for a skilled and experienced Field Service Representative (FSR) Analyst to join our team. In this role, you will partner with implementation teams to design, develop, and deploy advanced technical solutions that address our customers' most complex challenges. As an FSR Analyst, you will work directly with analysts to train and mentor users, troubleshoot technical issues, and create innovative use cases. Whether supporting users on-site worldwide or collaborating with colleagues in our offices, you will be instrumental in driving success and delivering meaningful results.

Responsibilities

• Deliver one-on-one desk-side training to analysts.
• Conduct classroom training sessions for analysts and operators.
• Support the Help Desk by addressing user inquiries and collaborating with the engineering team to resolve technical issues.
• Provide the engineering team with user feedback to enhance the product.  

Requirements

• Minimum of Secret Clearance
• Experience fusing intelligence capabilities in support of operations.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry is a plus.
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner.
• Ability to travel domestically and internationally 25% of the time.
• Ability to work independently and as part of a team.
• Strong knowledge of Excel.
• Military/Special Operation/Law Enforcement experience is a plus.

Tools

• Technical background with working knowledge of HTML, Ruby, Python and/or Java, as well hardware, networks, and server administration.

• Technical background with working knowledge of Python, Java and/or JavaScript/Typescript.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry a plus.
• Strong knowledge of Excel

Skills

• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner
• Ability to travel domestically 25% of the time if needed
• Ability to work independently and as part of a team.

Why PVM?

At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth.

PVM delivers digital services that help government agencies unlock the power of their data for good and maximize the value of their technology investments. We design, develop, and deploy solutions to solve mission-critical problems. PVM is a black- and service-disabled veteran-owned small business and was founded by a retired Naval officer out of frustration with the status quo with one goal in mind: to help his fellow Shipmates solve the problems they were facing every day. Today, we continue to be driven by that same goal, and are focused on taking on our clients’ missions as our own to make a difference in the communities we serve.

PVM believes in equal opportunity employment. We won't discriminate against any employee or applicant based on race, gender, nationality, age, religion, disability, military status, or sexual orientation. As a company and as individuals, we're committed to providing an inclusive and welcoming environment for our team, our family members, and our clients.