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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

We are hosting a phone interview hiring event for experienced Day Porters supporting commercial properties in Las Vegas, Nevada.

Candidates who meet the qualifications are invited to participate in a 20-minute phone interview during the scheduled hiring event times below.

Hiring Event Details

📅 Dates:

Friday, May 8th between 2:30pm and 4pm PST

Monday May 11th between 10am and 12pm, 2pm-4:30pm PST

📞 To participate:
Call Jordan Harrill – Recruiter at 720-334-7174 during the event  to complete a 20-minute phone interview.

The Day Porter assists with the maintenance and operation of all mechanical equipment, appliances, building related systems, and routine general maintenance.  This position works closely with the Chief Engineer and Lincoln staff in all areas of building operations. 

Responsibilities:

• Perform scheduled maintenance and building repairs, including equipment testing, and preventative maintenance.
• Perform unscheduled maintenance calls, including routine plumbing emergencies, minor equipment malfunctions, hot/cold calls, electrical and lighting repairs, and minor structural repairs (ceiling, ceramic / vinyl tile, floor, door, etc.)
• Maintain records on all building equipment and report abnormalities to supervisor.
• Assist in routine monitoring of service contractors.
• Responsible for changing ceiling tiles, light bulbs, filters, ballasts, etc.
• Respond to emergency calls after hours on a rotating basis.
• Proactively conduct tours to look for deficiencies and coordinate/initiate repairs. (Such as stained ceiling tiles, slamming doors, broken restroom equipment, etc.)
• Promote and maintain a safe work environment.
• Perform other duties as required.

Desired Competency, Experience and Skills:

• Experience
  • Experience in plumbing repairs and troubleshooting. Experience in electrical repair, installation, and trouble shooting. Plus, some general building mechanical maintenance experience.
• Education & Training
  • High school education or equivalent
• Competencies
  • Knowledge of and experience in mechanical concepts, HVAC principles, basic electrical, and basic plumbing.
  • Evidence of mechanical aptitude.
  • Excellent customer service skills.
  • Good verbal and written communication skills.
  • Ability to prioritize work and to be a self-starter as well as a motivated team player.
  • Valid driver’s license and satisfactory driving record.
  • Working knowledge of hand and power tool operation and safety.
  • Ability to lift 50 to 100 pounds.
  • Ability to climb ladders.
  • Ability to pass a drug screen and a criminal background check.

This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position.

#IND123

#ZIP

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become technically solid for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 3+ years of experience in cloud data engineering. 
• 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 1+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become a technical expert for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 5+ years of experience in cloud data engineering. 
• 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 2+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

#LI-BN1

Software Engineer, Senior

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

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

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

Relocation assistance may be available. 

Responsibilities

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

Qualifications

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

Preferred Skills:

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

#LI-BN1

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

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Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Axon 911 

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

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

Your Impact

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

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

What You’ll Do

Pre-Sales Solutioning

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

Technical Leadership

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

Sales Enablement & Collaboration

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

Customer Advocacy

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

What You Bring

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

Additional Requirements

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

Public Safety Technology & Systems Expertise

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

This may include experience with:

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

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

Work Location

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

Benefits that Benefit You

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

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

Pay Transparency

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

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

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

Mission Summary:

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

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

What You'll Do:

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

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

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

Bonus Points (Nice-to-Haves):

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

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

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

Mission Summary:

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

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

Responsibilities:

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

Qualifications:

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

Bonus Skills:

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

Physical Demands:

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

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

Working Environment

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

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

Mission Summary:

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

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

What you'll do:

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

What we're looking for:

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

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

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

Mission Summary:

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

What you'll work on:

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

What we're looking for:

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

Bonus points:

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

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

Mission Summary:

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:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus Points(not required): 

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

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

Mission Summary:

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

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

What you'll be doing:

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

What we're looking for:

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

Mission Summary:

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

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

What you'll be doing:

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

What we're looking for:

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

Mission Summary:

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

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

What you'll be doing:

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

What we're looking for:

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

Mission Summary:

As a Principal Engineer within the Platform Engineering group, you will serve as the primary architect for Motional’s global cloud and hybrid infrastructure. Your mission is to evolve our current R&D environment into a hardened, cost-efficient, and scalable commercial backbone. You will lead the technical strategy for our hybrid cloud migration and ensure our internal frameworks provide  the velocity required for rapid AV deployment.

What you’ll be doing:

• Architect and drive the execution of our hybrid cloud strategy. You will design the networking, security, and compute abstraction layers that allow seamless workload mobility between on-premises high-performance computing (HPC) and AWS.
• Serve as the primary architect for our Kubernetes-based developer framework. You will identify and implement core improvements to the framework to enhance scalability, cost tracking and access control, reduce configuration complexity, and increase developer velocity.
• Lead organization-wide initiatives to harden service reliability. You will define the standards for observability, failover strategies, and production-grade stability across all platform-layer services.
• Prototype and deploy GenAI-focused tooling and agents to automate Platform Engineering tasks. This includes leveraging LLMs for automated incident response, predictive infrastructure scaling, and intelligent log analysis.
• Act as the final technical authority for infrastructure decisions, ensuring all new platform services align with long-term scalability and security goals.

What we’re looking for:

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

Bonus Points (not required):

• Expert-level experience managing and architecting solutions using Equinix datacenter products and services (e.g., Equinix Fabric, Network Edge, Metal) to enable high-speed hybrid cloud connectivity (AWS Direct Connect)
• Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
• Experience leading technical projects in a globally distributed team
• Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks

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

Mission Summary:

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:

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:

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 AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 

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.

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.

About the Role:

The Senior Engineer will provide expertise and consulting services for IT infrastructure projects. This position will provide deep technical expertise in networking and systems administration, as well as the ability to influence and guide both internal teams and client stakeholders through complex system upgrades and architectural changes.

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

What You’ll Do:

• Serve as lead for on-site and remote technical management at customer locations.
• Provide mentorship to the on-site professional services engineering team.
• Deliver expert on-site support for networking and systems administration in alignment with the client’s IT upgrade initiatives and system conversions.
• Provide strategic consultation and expert technical guidance in IT infrastructure planning, engineering, and architecture.
• Evaluate and advise on the impact of IT strategies on infrastructure capabilities.
• Assess and advise on the impact of IT strategies, offering recommendations on system design, including analysis of risks, costs, and benefits.
• Collaborate with internal stakeholders and third-party vendors to troubleshoot and resolve complex system issues.
• Lead and support the technical implementation of infrastructure solutions to meet client IT enhancement goals.
• Lead technology engineering efforts by providing direction and insight to improve efficiency, ensure quality, and support the successful delivery of services and customer deployments.
• Serve as a subject matter expert and trusted advisor to influence project outcomes and drive team performance.

REQUIRED SKILLS AND EXPERIENCE:

• Bachelor’s degree from an accredited university required or equivalent years of experience.
• A minimum of 6 years of experience in hands-on experience in IT infrastructure, networking, and systems administration.
• Strong understanding of networking technologies, system architecture, and cloud infrastructure.
• Strong understanding of low-voltage cabling and data center configuration best practices.
• Excellent problem-solving skills and the ability to manage multiple technical projects simultaneously.
• Outstanding communication and collaboration abilities with a strong client-service orientation.
• Ability to travel domestically up to 85% - 90% of the time

PHYSICAL DEMANDS:

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

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

WORK ENVIRONMENT:

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

Why this role is exciting

Please note this role is based in our Las Vegas office, if you aren't already located here we will financially support relocation. As a Principal Full-Stack Engineer, Ops Tools This is a rare opportunity to build mission-critical software that directly powers real-world operations. You’ll help scale Vay’s Las Vegas service by designing and shipping end-to-end operational tools used every day by people on the ground and behind the wheel, remotely.

This role is built for engineers who want high ownership, real users, and real consequences. You’ll sit at the intersection of mobility, real-time systems, and remote driving, helping shape one of the world’s first commercial remote operations platforms.

If you’re excited by ambiguity, value impact over abstraction, and want your software to move actual cars, not just pixels, this role is for you.

What you’ll be driving

• Own the solution space across our operational tooling, translating complex operational workflows into reliable, user-facing software across multiple verticals, including:
  • Customer Support
  • Remote Driving Operations
  • Fleet Management
• Work closely with Operations, Customer Support, Engineering, and Product to design and develop end-to-end integrated solutions, combining off-the-shelf tools, low-code platforms, and custom-built software where it makes sense.
• Build and maintain real-time, interactive operational dashboards, including charts, maps, and data-dense interfaces, over operational databases and the data warehouse
• Build fleet intelligence capabilities over real time telemetry to identify and self heal (where possible) anomalies in an EV fleet of teledrivable vehicles
• Level up the organization, by influencing cross team architecture across our operations platform, dispatch, and routing and navigation backends, as well as mentoring and coaching engineers
• Partner with Directors to define and execute on an engineering roadmap to level up the organization’s focus on engineering quality and delivery velocity, on topics ranging from setting up effecting engineering systems for testing to driving high performance engineering culture
• Own what you build, from first commit through production and iteration.

What we’re looking for

• Strong full-stack depth.

• Confident in modern frontend development using React and TypeScript.

• Hands-on experience building backend services and APIs.

• Solid understanding of:

  • RESTful API design

  • Authentication and authorization

  • Secure API integrations

• Strong fundamentals in relational databases, including data modeling, transactions, indexing, and querying.

• Proven experience working with design systems to build consistent, scalable interfaces.

• Ability to translate complex, high-stakes workflows into clear, efficient, and error-resistant user experiences.

• Comfortable working closely with non-engineering stakeholders (Ops, CS, Product).

• Thrives in environments with ambiguity and evolving requirements.

• Drives clarity through iteration, feedback, and pragmatic decision-making.

Nice to have

• Experience building data-intensive or real-time user interfaces (streaming updates, large tables, map-based views).

• Experience integrating third-party tools or platforms.

• Background in operational, logistics, or mobility-related systems.

Why you should join 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

Civil Science is looking for a driven and passionate Public Works Project Manager to help shape the future of our Las Vegas public works practice.

This is more than a project management role — it’s an opportunity to take the lead in a rapidly growing market. You’ll be at the forefront of delivering meaningful infrastructure projects that directly impact the communities we serve, while building lasting relationships with key municipal clients.

We’re seeking a licensed engineer who thrives in a client-facing leadership role — someone who takes pride in owning project delivery, leading high-performing teams, and driving projects from concept through completion. You’ll step into a strong backlog of work with immediate opportunities to make an impact and help expand our presence across the region.

At Civil Science, you won’t just contribute — you’ll have a stake in what we’re building. As a 100% employee-owned company, every success is shared. Our culture is built on accountability, collaboration, and long-term vision, giving you the platform to grow your career while helping shape the future of our Las Vegas operations.

What You’ll Get to Do:

• Serve as primary client contact for public works projects in the Las Vegas area
• Manage scope, schedule, and budget for multiple active municipal projects
• Lead and coordinate multidisciplinary project teams
• Deliver high-quality infrastructure projects for city, county, and state agencies
• Support business development efforts, including pursuits and client relationship growth
• Collaborate with leadership to expand backlog and market presence
• Mentor junior staff and contribute to team development
• Ensure projects meet quality, risk, and compliance standards

What We’re Looking For:

• Strong project management and leadership skills
• Proven ability to act as a primary client interface
• Experience managing public agency projects
• Ability to lead teams and drive accountability
• Excellent communication and organizational skills
• Interest in contributing to a growing regional market

What Qualifications You’ll Need:

• Bachelor’s degree in Civil Engineering required
• Professional Engineer (PE) license required
• 8+ years of experience in public works / infrastructure projects
• Experience with municipal or DOT clients strongly preferred
• Proficiency in Adobe Acrobat, Bluebeam, and Civil 3D
• Experience in transportation and public works infrastructure projects
• Ability to manage multiple priorities in a client-facing environment

What Will Help You Stand Out:

• Local Las Vegas agency experience
• Business development and pursuit support experience
• Staff mentoring experience

About the Role:

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

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

What You’ll Do:

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

Qualifications & Interests:

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

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

PHYSICAL DEMANDS:

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

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

WORK ENVIRONMENT:

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

About the Role:

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

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

What You’ll Do:

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

Qualifications & Interests:

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

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

PHYSICAL DEMANDS:

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

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

WORK ENVIRONMENT:

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

About the Role:

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

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

What You’ll Do:

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

Qualifications & Interests:

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

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

PHYSICAL DEMANDS:

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

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

WORK ENVIRONMENT:

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

About the Role:

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

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

What You’ll Do:

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

Qualifications & Interests:

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

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

PHYSICAL DEMANDS:

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

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

WORK ENVIRONMENT:

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

The Day Porter assists with the maintenance and operation of all mechanical equipment, appliances, building related systems, and routine general maintenance.  This position works closely with the Chief Engineer and Lincoln staff in all areas of building operations. 

Responsibilities:

• Perform scheduled maintenance and building repairs, including equipment testing, and preventative maintenance.
• Perform unscheduled maintenance calls, including routine plumbing emergencies, minor equipment malfunctions, hot/cold calls, electrical and lighting repairs, and minor structural repairs (ceiling, ceramic / vinyl tile, floor, door, etc.)
• Maintain records on all building equipment and report abnormalities to supervisor.
• Assist in routine monitoring of service contractors.
• Responsible for changing ceiling tiles, light bulbs, filters, ballasts, etc.
• Respond to emergency calls after hours on a rotating basis.
• Proactively conduct tours to look for deficiencies and coordinate/initiate repairs. (Such as stained ceiling tiles, slamming doors, broken restroom equipment, etc.)
• Promote and maintain a safe work environment.
• Perform other duties as required.

Desired Competency, Experience and Skills:

• Experience
  • Experience in plumbing repairs and troubleshooting. Experience in electrical repair, installation, and trouble shooting. Plus, some general building mechanical maintenance experience.
• Education & Training
  • High school education or equivalent
• Competencies
  • Knowledge of and experience in mechanical concepts, HVAC principles, basic electrical, and basic plumbing.
  • Evidence of mechanical aptitude.
  • Excellent customer service skills.
  • Good verbal and written communication skills.
  • Ability to prioritize work and to be a self-starter as well as a motivated team player.
  • Valid driver’s license and satisfactory driving record.
  • Working knowledge of hand and power tool operation and safety.
  • Ability to lift 50 to 100 pounds.
  • Ability to climb ladders.
  • Ability to pass a drug screen and a criminal background check.

This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position.

#IND123

Who are we hiring?

Sphere is seeking an operations and systems administration professional to ensure technical operations and infrastructure reliability of the highest resolution screen in the world. This position is responsible for maintaining and monitoring multiple media server clusters supporting the venue's 160,000 sq. ft. 16K x 16K domed LED plane, 366-foot exterior LED surface, and custom LED displays throughout its Atrium. This is mainly a site reliability role emphasizing system maintenance, monitoring, and operational excellence. 
 
The position operates on a rotating schedule including evening, overnight, and weekend shifts to support 24/7 venue operations. During pre-production days, this role operates content to satisfy media distribution and previsualization requests from clients. During concert residencies, this role mainly provides critical failover support and emergency troubleshooting. 

The ideal candidate thrives in structured operational environments where success is measured by system uptime and dependability. You prefer process-driven work with clear procedures, have successfully managed rotating shift schedules including overnight shifts, and take pride in being the reliability expert. This role emphasizes infrastructure maintenance over creative development and failover readiness for shows rather than show development, but the production cycle also depends on this role’s ability to operate media servers to answer complex technical challenges. 

What will you do?

• Monitor and maintain operational health of 7th Sense and Disguise media server clusters including real-time monitoring, preventive maintenance, and emergency repairs. 
• Serve as a failover engineer during concert residencies and live events, executing failover procedures. 
• Prepare and operate multiple client content review sessions and daily film screenings, often with tight turnarounds. 
• Monitor and respond across five communication channels (Teams, Slack, email, comms, radio) while maintaining focus on system monitoring. 
• Perform routine system configuration and setup tasks using 7th Sense and Disguise media server software. 
• Develop and maintain SOPs, system documentation, and maintenance logs; troubleshoot display and network issues cross-functionally with other departments. 
• Engineer cross-platform solutions to bridge and automate workflows between different software platforms. 

What do you need to succeed?

• Advanced knowledge of hardware and software aspects of media server systems (e.g. 7th Sense, Disguise, Pixera) with emphasis on system administration and troubleshooting. 
• 6+ years technical operations experience in high-profile live production environments (concert touring, broadcast, theatrical) 
• Strong understanding of Windows networking principles. 
• Success in structured, process-driven technical operations environments. 
• Experience with rotating shift schedules including overnight shifts in 24/7 operations. 
• Ability to maintain focus during system monitoring and manage multiple simultaneous communication channels.
• Proven experience working in 3D spaces with thorough knowledge of warping, ST maps, and OBJ file workflows. 
• Experience managing large-scale media server installations and SMPTE 2110 standards. 
• Background in broadcast systems, virtual production, network operations centers, or as a site reliability engineer. 
• Experience integrating and operating LED video wall systems. 
• Experience with show control systems (e.g. TouchDesigner, Stage Precision) or 3D graphics engines (e.g., Unreal Engine, Blender). 
• Proficiency with automation and scripting languages (e.g., Python, PowerShell).
• Ability to work independently and collaboratively within cross-functional teams. 
• Strong interpersonal and motivational, and problem-solving skills with the ability to build positive working relationships. 
• Sound business judgment and ability to navigate time-sensitive conflicts professionally. 
• Exceptional organizational skills, time management, and attention to detail. 
• Flexibility and composure in high-pressure situations with the ability to adapt as priorities shift. 
• Passion for delivering exceptional guest experiences through innovative use of performance, technology, and media. 
• This role rotates shifts (day, swing, overnight) supporting 24/7 operations; weekend and holiday coverage required; significant maintenance occurs during overnight hours when events are inactive; on-call availability for emergencies.

Special Requirements

• This role may require supervising IATSE Local 720 union members as needed to support operational requirements. 
• Occasional travel (<10%) post-opening to New York City, Burbank, and industry trade conferences. 
• Extensive standing, walking, keyboard usage, and general administrative duties. 
• This is a 100% onsite role with limited potential for remote work on non-event days.