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Job DescriptionSimulation Software Developer (NASA LTVS Award Contingent) Houston Texas About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. *Employment in this role is contingent upon NASA selecting Intuitive Machines as the winner of the LTVS program, scheduled for announcement later in 2025. Responsibilities: • Design, implement, test, and “own” environmental, vehicle and I/O simulation models, • Collaborate with vehicle software, GNC, and other subsystem engineers and subject matter experts in creating high-fidelity environment, sensor, effector, and interface models, • Create and execute simulation model verification tests, • Faster-than-real-time and real-time spacecraft simulation development and maintenance, • Hardware-in-the-loop (HWIL) simulation development and testing, • Human-in-the-loop simulation development, • Support Fault, Detection, Isolation, and Recovery (FDIR) testing through fault modeling, • Write model unit tests and coordinate high-level testing of implemented models, • Develop and maintain Software Quality Assurance (SQA) tools Requirements: (This role is posted at multiple levels, with multiple openings spanning entry level to technical lead) • BS or MS in Aerospace Engineering, Physics, or related field with 5+ years of experience preferred, • C, C++, and Python programming experience, • 6-degrees-of-freedom simulation development experience, • Experience in one or more areas including spacecraft dynamics, thermal modeling, power modeling, RF comm modeling, sensor modeling (IMUs, star trackers, LIDAR, etc), GNC software integration, • Experience with Agile software development tools and processes, • Experience with Atlassian tools, Git version control, Gitlab, Docker, and Linux is preferred, • Experience with the following is a plus:, • High Level Architecture (HLA) Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job DescriptionSimulation Software Technical Lead - Lunar Terrain Vehicle (NASA LTVS Award Contingent) Houston Texas About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. About The Role As the Simulation Software Technical Lead for the LTV program, you will provide technical direction and hands-on leadership for the design, implementation, integration, and validation of high-fidelity simulation environments. You will guide a multidisciplinary team of developers and engineers in building, testing, and maintaining simulation models that accurately represent spacecraft dynamics, environmental interactions, and system behavior. This role requires a deep understanding of software architecture, simulation frameworks, and spacecraft system modeling, as well as strong communication and mentoring skills. *Employment in this role is contingent upon NASA selecting Intuitive Machines as the winner of the LTVS program, scheduled for announcement later in 2025. Responsibilities: • Serve as the technical owner for the Nova simulation architecture, driving design strategy and implementation priorities., • Lead development of environmental, vehicle, and I/O simulation models, ensuring alignment with program and flight software requirements., • Mentor and guide simulation engineers, conducting peer reviews, design walkthroughs, and providing technical oversight., • Collaborate with Flight Software, Systems Engineering, and Test teams to integrate realistic environment and effector models supporting mission validation., • Define and enforce best practices for code quality, test coverage, and documentation within the simulation domain., • Lead the development and automation of unit, integration, and hardware-in-the-loop tests., • Establish and manage configuration control processes and simulation baselines., • Support program-level reviews, providing simulation performance data and validation evidence. Requirements: • B.S. in Physics, Aerospace, Computer Science, or related Engineering discipline., • 7+ years of experience in simulation software development, including 3+ years in a technical leadership capacity., • Proficiency in C/C++ and object-oriented software design., • Proven ability to design and lead large-scale software projects through the full lifecycle—from concept through test and delivery., • Excellent communication skills, capable of interfacing across disciplines and presenting to technical and program leadership., • Organized, methodical, and detail-oriented approach to testing and quality assurance., • Ability to operate in a fast-paced, mission-critical environment., • M.S. or Ph.D. in Physics, Computer Science, or an Engineering discipline., • Experience with High Level Architecture (HLA), • Experience with xUnit-compliant testing frameworks and CI/CD pipelines., • Experience with Docker or containerized development environments., • Background in Agile/Scrum software development. Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

The ideal candidate will possess relevant patent preparation and prosecution experience and an undergraduate or advanced degree in electrical engineering, computer engineering, software engineering, computer science, or physics.

We are looking for a physicist to join our team to train AI models.You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.In this role you will need to hold an expert understanding of physics- a completed or in progress Maste

Job Description Loads & Dynamics Engineer Houston, Texas, United States Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. We believe our mission is to further research, communications, and exploration beyond low lunar orbit. With multiple NASA lunar missions in the making and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers and the nation in paving the way to return humans to the surface of the moon. Our world-class team includes experts in all spacecraft subsystems design, development, and test, on-orbit operations, and safety. Intuitive Machines is seeking a talented and experienced Loads & Dynamics Engineer to join our dynamic team. As a Loads & Dynamics Engineer, you will be responsible for analyzing and predicting the dynamic loads experienced by our aerospace vehicles. Responsibilities: • Conduct comprehensive loads analysis to determine the external forces and moments acting on aerospace vehicles during various phases of flight, including ascent, descent, and landing., • Perform dynamic modeling and simulation of aerospace vehicles to predict and analyze their structural response to external loads, including aerodynamic, inertial, vibration, and acoustic., • Collaborate with flight test engineers to design and implement test plans for providing input on load measurement systems and instrumentation., • Work closely with structural engineers and designers to optimize vehicle structures and components for weight efficiency, structural integrity, and dynamic performance., • Conduct vibration analysis and modal testing to characterize the dynamic behavior of aerospace structures and subsystems, identifying potential resonance frequencies and mode shapes., • Define safe operating limits and flight envelopes based on loads and dynamics analysis results, considering factors such as aerodynamic loading, structural strength, and performance requirements., • Prepare detailed technical reports, documentation, and presentations to communicate analysis results, findings, and recommendations to internal stakeholders and customers. Qualifications: (This position is posted at multiple levels) • Bachelor's Degree in Aerospace Engineering, Mechanical Engineering, Physics, or related field, • 5+ years of experience in structural analysis, structural dynamics, vibration, and/or launch vehicle dynamic analysis, • Proficient with performing analytical simulations in software such as NASTRAN, MATLAB, Python, • Proficient with meshing and managing NX Nastran models in compatible software such as FEMAP, BETA CAE, or Simcenter3D., • Ability to solve a variety of static and dynamic structural problems using physics-based analytical methods (hand calculations, in-house tools, and 3rd party commercial analytical tools), • Proficiency with signal analysis and processing in both time and frequency domains, • Experience with vibration and shock testing, from writing test plans, execution, and interpretation of results, • Excellent analytical and problem-solving skills, with the ability to interpret complex data and make informed engineering decisions., • Experience with coupled loads analysis on launch vehicles, • Experience with launch vehicle dynamic environments analysis, • Experience with modal testing and modal correlation, • Familiarity with relevant SMC / Range / NASA standards for analysis and test, • Experience with use of test / flight data to verify FEM results US EEO Statement Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Telemetry Data Scientist / Real-Time ML Engineer Division: DATUM, Impac Exploration Services Location: Remote or Oklahoma City Type: Full-Time or Contract Build Models That Run at 10,000 Feet Per Second We're not looking for someone to build another dashboard. We're looking for someone who sees streaming sensor data and thinks "I could predict that failure 30 seconds out." DATUM is where industrial operations meet cutting-edge ML. We're streaming terabytes of WITS telemetry from drilling operations—pressure, torque, vibration, flow rates—all live from assets worth millions per day. This isn't historical analysis. This is real-time ML where your models make decisions while the drill bit is turning. Here's what makes this interesting: The physics are unforgiving. The data is messy. The stakes are real. And when your anomaly detection prevents a catastrophic failure at 10,000 feet? That's the kind of win that gets noticed—by operators, by industry, and yeah, by recruiters from places you've dreamed about working. What You'll Actually Build • Streaming ML pipelines that process millions of sensor readings per minute, • Anomaly detection that understands the difference between "weird but fine" and "stop everything now", • Predictive models that see patterns in vibration harmonics humans miss, • Real-time feature engineering on streams that never stop Core stack: • Streaming: Kafka/Pulsar, Flink/Spark Streaming, or River (bonus if you've pushed these to their limits), • ML Ops: MLflow, Weights & Biases, or Kubeflow—because models in notebooks don't save rigs, • Time Series: Prophet, LSTM/GRU implementations, or custom architectures for sequential data, • Languages: Python (NumPy, Pandas, Scikit-learn) + SQL + whatever else gets the job done, • Deployment: Docker, Kubernetes, edge computing frameworks, • Physics-informed neural networks or domain-aware ML, • Experience with industrial protocols (OPC-UA, MQTT, Modbus), • Edge computing / model optimization for embedded systems, • You've built something real-time that stayed up when it mattered, • Sensor fusion excites you more than computer vision, • You can explain Kalman filters and gradient boosting to a drilling engineer, • You've debugged model drift at 3 AM because production doesn't sleep, • You've touched industrial systems, IoT, or anything with real sensors, • Built telemetry systems for fun (racing sims, drone projects, even elaborate Raspberry Pi setups), • Contributed to time-series or streaming ML libraries Small team. Big problems. No bureaucracy. We move fast, ship faster, and celebrate when our work is so good that other companies try to poach you. You'll have the compute you need, the freedom to experiment, and colleagues who push you to be better. Fair warning: This isn't a "set it and forget it" role. When a $100M operation depends on your model, you'll feel it. But when your algorithm catches something nobody else saw? That feeling is addictive. Why This Matters While everyone else fights over chatbot improvements, we're building ML for the physical world. Energy is complex, consequential, and desperately needs fresh thinking. Come help us prove that the best telemetry systems don't just live at race tracks—they're 10,000 feet underground, running 24/7, keeping people safe and operations efficient. Ready to build ML that matters? Let's talk. We are not sponsoring visas or participating in CPT programs at this time.

Job DescriptionSalary: About the Role: We are seeking a highly motivated Reservoir Simulation Research Scientist to contribute to the next generation of reservoir modeling technologies. This role focuses on the research and development (R&D) of advanced computational methods combining physics-based reservoir simulation with machine learning, data assimilation, and optimization. You will work on developing novel algorithms, enhancing simulation capabilities, and bridging data-driven and physics-based modeling approaches to support the energy transition and improve reservoir management workflows. Key Responsibilities: • Conduct fundamental and applied research in reservoir simulation, computational physics, and data-driven methods., • Develop and prototype novel algorithms that integrate machine learning with traditional reservoir simulation workflows, including surrogate modeling, reduced-order modeling, and hybrid physics-ML models., • Research and implement advanced data assimilation techniques, including ensemble-based methods, adjoint-based gradient optimization, and Bayesian inference for history matching and uncertainty quantification., • Develop and apply optimization algorithms for field development planning, production enhancement, and reservoir control under uncertainty., • Collaborate with cross-disciplinary teams including reservoir engineers, geoscientists, data scientists, and software engineers., • Publish research outcomes in peer-reviewed journals, patents, and present at industry and academic conferences., • Provide technical leadership in framing R&D roadmaps, identifying high-impact research directions, and supporting technology transfer into commercial or operational tools., • Contribute to the development of internal software prototypes or production-grade software for reservoir modeling and AI-enabled workflows. Required Qualifications: • Ph.D. in Petroleum Engineering or Reservoir Engineering or a related field with a focus on numerical simulation, optimization, or machine learning applications., • Strong background in numerical methods for PDEs, linear and nonlinear solvers, and reservoir flow physics., • Expertise in reservoir simulation technologies, including finite difference, finite volume, or finite element methods applied to multiphase subsurface flow., • Demonstrated research experience in one or more of the following:, • Machine learning (e.g., surrogate modeling, neural networks, Gaussian processes, physics-informed ML), • Data assimilation (e.g., Ensemble Kalman Filter, Ensemble Smoother, Adjoint-based optimization, Bayesian inference), • Optimization (e.g., field development planning, well control optimization, robust optimization under uncertainty), • Proficiency in scientific programming (ideally Python and MATLAB) for algorithm development and prototyping., • Proven track record of peer-reviewed publications, conference presentations, or patents in relevant technical domains. Preferred Qualifications: • Experience integrating physics-based simulation with machine learning frameworks, including Physics-Informed Neural Networks (PINNs) or hybrid models., • Knowledge of high-performance computing (HPC), parallel programming, or cloud computing for large-scale simulations., • Familiarity with open-source or commercial reservoir simulators (e.g., MRST, Open Porous Media, Eclipse, Intersect, tNavigator, CMG)., • Experience with probabilistic modeling, uncertainty quantification, and decision-making under uncertainty., • Background in related domains such as CO sequestration, geothermal systems, or unconventional resources modeling is a plus. Soft Skills: • Strong analytical and problem-solving skills with a rigorous scientific approach., • Ability to communicate complex technical ideas clearly to both technical and non-technical audiences., • Self-driven, collaborative, and passionate about advancing the state of the art in reservoir engineering and computational sciences., • Comfortable working in both independent research settings and collaborative, multi-disciplinary environments. Why Join Us? • Work on cutting-edge problems at the intersection of subsurface science, machine learning, optimization and computational physics., • Be part of a collaborative R&D team influencing the future of energy, carbon management, and sustainable subsurface technologies., • Opportunities to publish, patent, and contribute to open-source software or commercial products., • Competitive compensation, research freedom, and professional growth in a dynamic, innovation-driven environment.

Job DescriptionSalary: Competitive Description Were building Orbital, an industrial AI system that runs live in refineries and upstream assets, ingesting sensor data, running deep learning + physics hybrid models, and serving insights in real time. As a Forward Deployed ML Engineer, youll sit at the intersection of research and deployment: turning notebooks into containerised microservices, wiring up ML inference pipelines, and making sure they run reliably in demanding industrial environments. This role is not just about training models. Youll write PyTorch code when needed, package models into Docker containers, design message-brokered microservice architectures, and deploy them in hybrid on-prem/cloud setups. Youll also be customer-facing: working with process engineers and operators to integrate Orbital into their workflows. Location: You will be based in the U.S. or eligible to work there and ideally in Houston or willing to travel extensively to there. Core Responsibilities Model Integration & Engineering • Take research models (time-series, deep learning, physics-informed) and productionise them in PyTorch., • Wrap models into containerised services (Docker/Kubernetes) with clear APIs., • Optimise inference pipelines for latency, throughput, and reliability. Microservices & Messaging • Design and implement ML pipelines as multi-container microservices., • Use message brokers (Kafka, RabbitMQ, etc.) to orchestrate data flow between services., • Ensure pipelines are fault-tolerant and scalable across environments. Forward Deployment & Customer Integration • Deploy AI services into customer on-prem environments (industrial networks, restricted clouds)., • Work with customer IT/OT teams to integrate with historians, OPC UA servers, and real-time data feeds., • Debug, monitor, and tune systems in the field ensuring AI services survive messy real-world data. Software Engineering Best Practices • Maintain clean, testable, container-ready codebases., • Implement CI/CD pipelines for model deployment and updates., • Work closely with product and data engineering teams to align system interfaces. Requirements • MSc in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience., • Strong proficiency in Python and deep learning frameworks (PyTorch preferred)., • Solid software engineering background designing and debugging distributed systems., • Experience building and running Dockerised microservices, ideally with Kubernetes/EKS., • Familiarity with message brokers (Kafka, RabbitMQ, or similar)., • Comfort working in hybrid cloud/on-prem deployments (AWS, Databricks, or industrial environments)., • Exposure to time-series or industrial data (historians, IoT, SCADA/DCS logs) is a plus., • Ability to work in forward-deployed settings, collaborating directly with customers. What Success Looks Like • Research models are hardened into fast, reliable services that run in production., • Customers see Orbital AI running live in their environment without downtime., • Microservice-based ML pipelines scale cleanly, with message broking between components., • You become the go-to engineer bridging AI research, product, and customer integration.

Adjunct Faculty, Physics (Online). Adjunct Faculty, Physics (Online).

Part-Time Faculty - Physics (North).

Job Description Embedded Flight Software Engineer About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. About The Position We are looking to add strong and qualified Flight Software Engineers to join our software teams. We proudly put forward an exceptional team that lives at the intersection of rigor and agility. We are seeking the best, the brightest and the driven to be part of the commercial space revolution on and around the moon. Responsibilities: • Design, implement and maintain flight software features and improvements, • Analyze, test and perform I/O performance assessments upon integrated hardware/software solutions, • Interface with hardware design and development, • B.S. in physics or engineering domain, • 3-10 years of experience in C/C++ development, • 3-10 years of experience with hardware/software integration or Embedded development, • Familiar with serial communications protocols (RS-232, RS-422, RS-485, etc.), • Familiar with packetized communications protocols (IP/UDP, IP/TCP), • Organized, thorough and methodical approach to software quality and testing, • Excellent written and oral communication skills, • Capable of both high quantity and high quality output, • Penchant for self-starting and problem solving, • Ability to work in a fast paced, hard charging, high stakes environment, • Experience with GSFC Core Flight Software (CFS) framework, • Experience with device driver implementations, • Experience with SpaceWire communications protocol, • Experience with logging frameworks and their architecture, • Experience with xUnit compliant test frameworks, • Experience with Windows and POSIX-based operating systems, • Experience with Docker-based containerization, • Experience in an agile / scrum development environment Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Embedded Payload Software Engineer - Lunar Terrain Vehicle (NASA LTVS Award Contingent) Houston Texas About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. We believe our mission is to further research, communications, and exploration beyond low lunar orbit. With multiple NASA lunar missions in the making and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers, and the nation in paving the way to return humans to the surface of the moon. Our world-class team includes experts in all spacecraft subsystems design, development, and test, on-orbit operations, and safety. Intuitive Machines is leading the charge to cislunar space with our fleet of landers and satellites. We proudly put forward an exceptional team that lives at the intersection of rigor and agility. We are seeking the best, the brightest and the driven to be part of the commercial space revolution on and around the moon. *Employment in this role is contingent upon NASA selecting Intuitive Machines as the winner of the LTVS program, scheduled for announcement later in 2025. Responsibilities: • Design, implement and maintain embedded flight software features and improvements, • Analyze, test and perform I/O performance assessments upon integrated hardware/software solutions, • Interface with hardware design and development, • Draft unit/integration tests and coordinate high-level testing of features, • Organize and develop software interface control documents with payload customers, • B.S. in physics or engineering domain, • Experience in C/C++ development, • Experience with hardware/software integration, • Familiar with serial communications protocols (RS-232, RS-422, RS-485, etc.), • Familiar with real-time operating systems, • Familiar with packetized communications protocols (IP/UDP, IP/TCP), • Familiar with basic RF principles and technologies (Radios, Modulation & Encoding, RF Power), • Organized, thorough and methodical approach to software quality and testing, • Excellent written and oral communication skills, • Capable of both high quantity and high quality output, • Soft skills for working directly with our payload customers, • Penchant for self-starting and problem solving, • Ability to work in a fast paced, hard charging, high stakes environment, • Experience with GSFC Core Flight Software (CFS) framework, • Experience with device driver implementations, • Experience with SpaceWire, • Experience with Rust, • Experience with logging frameworks and their architecture, • Experience with Windows and POSIX-based operating systems, • Experience with Docker-based containerization, • Experience in an agile / scrum development environment, • Experience in Gitflow coordinated configuration management schemes Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Embedded Payload Software Engineer - Lunar payload and data services (LPDS) About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. We believe our mission is to further research, communications, and exploration beyond low lunar orbit. With multiple NASA lunar missions in the making and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers, and the nation in paving the way to return humans to the surface of the moon. Our world-class team includes experts in all spacecraft subsystems design, development, and test, on-orbit operations, and safety. Intuitive Machines is leading the charge to cislunar space with our fleet of landers and satellites. We proudly put forward an exceptional team that lives at the intersection of rigor and agility. We are seeking the best, the brightest and the driven to be part of the commercial space revolution on and around the moon. Responsibilities: • Design, implement and maintain embedded flight software features and improvements, • Analyze, test and perform I/O performance assessments upon integrated hardware/software solutions, • Interface with hardware design and development, • Draft unit/integration tests and coordinate high-level testing of features, • Organize and develop software interface control documents with payload customers, • B.S. in physics or engineering domain, • 3+ years experience in C/C++ development, • 3+ years experience with hardware/software integration, • Familiar with serial communications protocols (RS-232, RS-422, RS-485, etc.), • Familiar with real-time operating systems, • Familiar with packetized communications protocols (IP/UDP, IP/TCP), • Familiar with basic RF principles and technologies (Radios, Modulation & Encoding, RF Power), • Organized, thorough and methodical approach to software quality and testing, • Excellent written and oral communication skills, • Capable of both high quantity and high quality output, • Soft skills for working directly with our payload customers, • Penchant for self-starting and problem solving, • Ability to work in a fast paced, hard charging, high stakes environment, • Experience with GSFC Core Flight Software (CFS) framework, • Experience with device driver implementations, • Experience with SpaceWire, • Experience with Rust, • Experience with logging frameworks and their architecture, • Experience with Windows and POSIX-based operating systems, • Experience with Docker-based containerization, • Experience in an agile / scrum development environment, • Experience in Gitflow coordinated configuration management schemes Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job DescriptionENGINEERS WANTED for hazardous journey. Small wages, high voltages, long hours of difficult technical work, safe career choice doubtful. Riches and Glory in case of success. JOB DESCRIPTION In this role, you will work with a collaborative team of engineers to develop and implement dynamic positioning capabilities on autonomous surface vessels. You will also support Fleetzero's integration with and adaptation of existing DP systems on test vessels and customer assets and develop test environments for DP algorithms and systems. Responsibilities • Develop and adapt new and existing DP systems for use aboard autonomous and DP2/3 vessels, • Select, develop, and optimize algorithms and filters needed for a reliable next-generation DP system that exceeds class and industry standards for reliability and efficiency, • Design and execute tests of DP systems in simulated and field environments, • Develop interfaces and integrations of DP systems with marine autonomy systems, vessel automation systems, power and energy management systems, and other vessel systemsQualifications, • Direct experience in coding and development of DP algorithms, including Kalman filters and other algorithms relevant for marine station keeping and positioning, • Experience obtaining approval for software with marine classification societies such as ABS, DNV, LR, etc., • Experience with DP2 and DP3 systems in offshore energy, diving, subsea support, or military applications, • Deep fundamental understanding of the physics, math, and software engineering concepts involved in marine dynamic positioningBonus Qualifications, • Experience architecting and coding new DP systems from scratch, • Knowledge of naval architecture or marine engineering Fleetzero does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Embedded Flight Software Engineer - Lunar Terrain Vehicle (NASA LTVS Award Contingent) Houston Texas About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. About The Position We are looking to add strong and qualified Flight Software Engineers to join our software teams. We proudly put forward an exceptional team that lives at the intersection of rigor and agility. We are seeking the best, the brightest and the driven to be part of the commercial space revolution on and around the moon. *Employment in this role is contingent upon NASA selecting Intuitive Machines as the winner of the LTVS program, scheduled for announcement later in 2025. Responsibilities: • Design, implement and maintain flight software features and improvements, • Analyze, test and perform I/O performance assessments upon integrated hardware/software solutions, • Interface with hardware design and development, • Draft unit/integration tests and coordinate high-level testing of features Requirements: (This position is posted across multiple levels, Entry - Technical Lead, with multiple openings) • B.S. in physics or engineering domain, • Experience in C/C++ development, • Experience with hardware/software integration or Embedded development, • Familiar with serial communications protocols (RS-232, RS-422, RS-485, etc.), • Familiar with packetized communications protocols (IP/UDP, IP/TCP), • Organized, thorough and methodical approach to software quality and testing, • Excellent written and oral communication skills, • Capable of both high quantity and high quality output, • Penchant for self-starting and problem solving, • Ability to work in a fast paced, hard charging, high stakes environment, • Experience with GSFC Core Flight Software (CFS) framework, • Experience with device driver implementations, • Experience with SpaceWire communications protocol, • Experience with logging frameworks and their architecture, • Experience with xUnit compliant test frameworks, • Experience with Windows and POSIX-based operating systems, • Experience with Docker-based containerization, • Experience in an agile / scrum development environment Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job DescriptionENGINEERS WANTED for hazardous journey. Small wages, high voltages, long hours of difficult technical work, safe career choice doubtful. Riches and Glory in case of success. JOB DESCRIPTION In this role, you will work with a fast-paced multidisciplinary team to build marine autonomy systems from concept through delivery. Fleetzero's development culture is test-heavy, with multiple iterations preferred over attempts at initial perfection. Responsibilities • Design, build, and deploy marine autonomy systems, including algorithms, GNC, DP, and communication systems, • Shepherd systems from prototyping, through maturity, • Interface with naval architects, marine engineers, electrical hardware engineers, embedded developers, and technicians in designing, building, testing, and deploying autonomous vessels, • Guide overall architecture development, • Develop modeling & simulation environments to test code rapidly, • Be present for physical tests and deployments on the waterQualifications, • BS, MS, or PhD in Computer Science, Software Engineering, Physics, or related field, • 3+ years working with multiple relevant coding languages such as Python, Java, C++, C, Rust, JavaScript, etc., • Experience developing software for autonomy in air, marine, or land domains, through school, industry, or impressive & relevant personal projects, • An ability and desire to build sophisticated software iteratively from both a clean slate and from existing code basesBonus Qualifications, • Background in motion planning, robotics, or marine autonomy, • Experience with Marine DP algorithms, • Experience with Marine Classification Societies, • Understanding of navigation (GPS systems, spherical trigonometry, celestial navigation, etc.) Fleetzero does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Provides expertise in support of research projects in engineering, biology, mathematics, statistics, computer science, physics, etc.

Relevant experience in patent preparation and prosecution with a degree in electrical engineering, computer engineering, software engineering, computer science, or physics.

But if you have a strong interest in math, chemistry, physics and engineering, you might just have what it takes to be a Machinist's Mate Nuclear. Here they learn theory and practical application of nuclear physics and reactor engineering.

Job Description LiDAR Autonomy Hardware Specialist - Lunar Terrain Vehicle (NASA LTVS Award Contingent) Houston, Texas OR Glen Burnie, MD About Intuitive Machines: Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. *Employment in this role is contingent upon NASA selecting Intuitive Machines as the winner of the LTVS program, scheduled for announcement later in 2025. About The Role: (This role is posted at multiple levels, from entry to technical lead, with multiple openings) Serve as the key technical authority for LiDAR systems on the LTV vehicle, which are used to detect hazards around LTV and guide LTV along a safe path. Responsibilities • Demonstrate expert-level first-principles understanding of all aspects of sensor operation, • Understand integrated hardware/software operation, customer requirements, safe handling procedures and interface to hardware vendors to ensure all requirements are met, • Generate, manage, and verify requirements for all LTV LiDAR systems, • Coordinate with hardware vendors to intimately understand their hardware and software design and make actionable insights relating to sensor accuracy, safety, and reliability, • Analyze hardware performance and produce trade studies, • Coordinate the procurement of prototype and flight hardware with purchasing staff, and maintain hardware histories for each item, • Collaborate in the development and validation of simulation models for the sensors addressing both ideal and non-ideal operation, • Write and execute test plans for all LTV LiDAR systems, • As time allows, support other technical tasks within the autonomy team Qualifications • Bachelor’s degree in Physics, Engineering, Computer Science, Robotics, or related field (Master’s preferred), • Experience with motion LiDAR in aerospace, defense, automotive, robotic, or mining contexts, • Experience designing and certifying motion LiDAR hardware systems for safety-critical applications, • Experience with hardware acceleration for motion LiDAR data processing, • Experience building simulation models, • Jira, Jama Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.