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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Software Engineer, Senior

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

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

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

Relocation assistance may be available. 

Responsibilities

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

Qualifications

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

Preferred Skills:

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

#LI-BN1

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

Mission Summary:

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

Key Responsibilities:

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

Qualifications:

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

Preferred Qualifications:

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

Physical Demands:

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

Working Environment:

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

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

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

Mission Summary:

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 Staff Systems Safety Engineer:

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

Essential Duties:

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

Qualifications:

Educational Requirements

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

Technical / Specialized Knowledge, Skills, Abilities:

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

Physical Demands:

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

Working Environment:

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

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

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

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 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:

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

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

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

What you'll work on:

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

What we're looking for:

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

Bonus points:

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

Physical Demands

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

Working Environment

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

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

Mission Summary:

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

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

Essential Duties:

Technical Leadership & Validation:

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

Test Infrastructure & Analysis:

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

Quality Assurance & Compliance:

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

Collaboration & Mentorship:

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

Strategic Adaptation & Support:

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

Required Qualifications:

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

Preferred:

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

Physical Demands:

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

Working Environment:

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

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

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

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.

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.

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. 

#LI-Onsite