Powering a Cleaner Future with Power Nobelity

The Role

As our CTO / Head of Engineering, you will be the primary technical visionary and leader, driving the development and execution of Power Nobility's groundbreaking technology roadmap. You will oversee all R&D, engineering design (including specialized areas like high-speed rotordynamics, homopolar generators, Stirling engine mechanics, and advanced combustion), system integration, IP strategy, and the growth of our world-class technical team. Your leadership will be pivotal in guiding our GenBox-Omni through critical validation stages (including TRL 5) and advancing our FuelGen and CSLG technologies towards commercial readiness and ongoing innovation.

Key Responsibilities

• Lead and manage all engineering and R&D activities for FuelGen, CSLG, and the GenBox-Omni integrated system.
• Define and execute the technology development strategy to meet critical TRL milestones and prepare for scaled production.
• Oversee system architecture, advanced simulation & design, integration, controls, validation, and materials science (including composites).
• Drive the IP strategy, ensuring proactive capture and protection of core technical know-how.
• Build, mentor, and lead a high-performing team of engineers and scientists.
• Manage key technical partnerships (e.g., Aurobay, Universities, specialist vendors).
• Ensure robust engineering processes, safety standards (especially hydrogen), and quality control.
• Oversee the setup and operation of R&D facilities, including HPC infrastructure and test labs.

Who You Are

• Proven experience in a senior engineering leadership role (CTO, VP Engineering, Head of R&D) in a technology-driven hardware/systems company.
• Deep technical expertise in relevant fields such as power generation, hydrogen technologies, thermodynamics, electro-mechanics, Stirling engines, high-speed rotating machinery, advanced combustion, or complex system integration.
• Strong understanding of the full product development lifecycle from concept to commercialization, including TRL progression and scaling.
• Experience managing IP portfolios and technical partnerships.
• Demonstrated ability to build and lead high-performing technical teams.
• Excellent problem-solving, strategic thinking, and communication skills.
• PhD or Master's degree in a relevant engineering or scientific discipline.
• (Ideally) The original Inventor or deep involvement in the core technology's genesis.

The Role

We are seeking a highly organized and driven Program Manager to orchestrate the successful execution of our core technology development programs. You will be responsible for managing timelines, resources, budgets, and risks associated with advancing our GenBox-Omni system through TRL 5 validation and progressing FuelGen & CSLG prototypes towards further development stages. You will work closely with the CTO, technical leads, and external partners to ensure milestones are met, acting as the central nervous system for project execution across all streams, ultimately paving the way for commercialization.

Key Responsibilities

• Develop and manage detailed project plans, schedules, and budgets for TRL 5 and early TRL 6/7 development.
• Coordinate activities across internal engineering teams and external partners.
• Track progress against milestones, identify potential risks, and implement mitigation strategies.
• Facilitate communication and collaboration between all project stakeholders.
• Oversee allocation and scheduling of shared resources (such as Test & Validation, AI/ML, and HPC infrastructure).
• Consolidate and provide regular progress reports to leadership.
• Implement efficient project management methodologies for rapid iteration and agile development.

Who You Are

• Bachelor's or Master's degree in Engineering or a related technical field.
• 5+ years of experience in technical program or project management, preferably in hardware development or complex systems.
• Proven ability to manage complex projects with multiple dependencies, on time and within budget.
• Strong understanding of engineering development processes and Technology Readiness Levels (TRLs).
• Excellent organizational, communication, and interpersonal skills.
• Proficiency in project management software. PMP or similar certification is a plus.

The Role

In this dual role, you will serve as both the hands-on mechanical designer for FuelGen components AND the technical lead/coordinator for the entire FuelGen development stream. You will guide a focused team of engineers, overseeing design, simulation (FEA/EM, rotordynamics), materials science (composites), and testing to achieve critical performance, reliability, and TRL milestones. Your expertise will be crucial in optimizing FuelGen's unique high-speed electro-mechanics and homopolar generator systems, ultimately preparing FuelGen for integrated system validation and commercial application.

Key Responsibilities

• Lead the hands-on mechanical design of FuelGen components, including high-speed rotors, bearings, seals, housings, and fluid systems.
• Guide the day-to-day technical problem-solving and decision-making within the FuelGen team.
• Coordinate the work of engineers primarily dedicated to FuelGen, including CAE and Materials specialists.
• Drive the design, analysis, prototyping, and testing of FuelGen components and systems.
• Track detailed tasks, progress, and technical risks specific to FuelGen, reporting status to the Program Manager.
• Ensure FuelGen development aligns with overall GenBox-Omni system integration requirements.
• Manage risks, troubleshoot technical challenges, and ensure TRL progression for FuelGen technology towards system integration.

Who You Are

• Master's or PhD in Mechanical, Electrical, or Mechatronics Engineering.
• 7+ years of experience in developing complex electro-mechanical systems, with a strong preference for experience in high-speed rotating machinery, specialized electric generators (e.g., homopolar), or advanced energy conversion technologies.
• Proven technical leadership and project management skills.
• Deep understanding of relevant physics and engineering principles (electromagnetism, rotordynamics, materials science).
• Ability to guide and mentor a team of specialized engineers while remaining hands-on.

The Role

In this dual role, you will serve as both the hands-on mechanical designer for CSLG integration/packaging AND the technical lead/coordinator for the entire CSLG development stream. You will lead a dedicated team, guiding the design, simulation (combustion, Stirling cycle thermodynamics), and testing of the CSLG system to meet demanding performance, multi-fuel capability, and TRL targets. Your deep understanding of thermomechanical systems will be key to ensuring the CSLG system is ready for integration and diverse applications.

Key Responsibilities

• Lead the hands-on mechanical design for CSLG integration, packaging, and potentially core engine component interfaces.
• Guide the daily technical problem-solving and decision-making for CSLG development.
• Coordinate the work of the dedicated Combustion Engineer/Specialist and the Stirling Engine Design Engineer/Specialist, ensuring their efforts are integrated.
• Drive the design, analysis, prototyping, and testing of the CSLG engine, including its advanced combustion system and Stirling cycle components.
• Track detailed tasks, progress, and technical risks specific to CSLG, reporting to the Program Manager.
• Ensure CSLG development aligns with overall GenBox-Omni system integration requirements and powertrain applications.
• Manage risks, troubleshoot technical challenges, and ensure TRL progression for CSLG technology towards system integration.

Who You Are

• Master's or PhD in Mechanical Engineering with a strong focus on thermodynamics, combustion, and/or engine design.
• 7+ years of experience in the development of advanced power generation systems, with specific expertise in combustion technologies (ideally multi-fuel including hydrogen) and/or Stirling engines.
• Proven technical leadership and project management capabilities.
• Deep understanding of heat transfer, fluid dynamics, combustion chemistry, and engine mechanics.
• Ability to lead and inspire a team of specialized engineers while remaining hands-on.

The Role

Take the helm of integrating our revolutionary FuelGen and CSLG technologies into the cohesive GenBox-Omni platform. You will be the primary technical authority for the overall GenBox-Omni system architecture and act as the technical lead/coordinator for all system-wide integration activities. You will own the system architecture, define and manage all mechanical, electrical, and software interfaces, and lead the validation of the integrated system through TRL 5, setting the stage for pilot deployments and scalable manufacturing.

Key Responsibilities

• Define and manage all mechanical, electrical, thermal, and software interfaces between FuelGen, CSLG, energy storage (SuperBattery), thermal recovery systems, water management, and external connections.
• Lead system-level design and integration of the GenBox-Omni platform.
• Oversee the physical assembly and commissioning of GenBox-Omni prototypes.
• Lead the development and integration of the system-level control strategy, coordinating the Controls Engineer(s).
• Develop system-level documentation (P&IDs, schematics, control logic).
• Drive the overall system validation testing plan and execution to achieve TRL 5.
• Track integration-specific tasks, progress, and system-level risks, reporting to the Program Manager.

Who You Are

• Bachelor's or Master's in Mechanical, Electrical, or Systems Engineering.
• 7+ years of experience in system integration, preferably with power systems, energy storage, or complex industrial equipment.
• Strong understanding of mechanical, electrical, and software integration.
• Experience with system architecture, interface control, and validation testing.
• Ability to coordinate technical teams and manage complex system-level requirements.

The Role

Become our expert in advanced combustion for the CSLG system. You will design, simulate, test, and optimize the multi-fuel combustion system (H2, Natural Gas, Ammonia) to achieve exceptional efficiency, ultra-low emissions, and robust flame stability. Your work will be critical to the CSLG's performance and environmental credentials, reporting functionally within the CSLG stream and coordinated by the CSLG Lead.

Key Responsibilities

• Lead the design and development of the CSLG combustion chamber, burner, and fuel injection/mixing systems.
• Perform CFD simulations and experimental testing to optimize combustion performance across various fuels.
• Focus on achieving high combustion efficiency, minimizing pollutant formation (NOx, CO, UHC), and ensuring stable operation.
• Collaborate with the Stirling Engine Design Engineer on thermal interfaces and heat transfer to the engine's hot end.
• Analyze emissions data and develop strategies for emissions control if required.

Who You Are

• Master's or PhD in Mechanical or Chemical Engineering with a specialization in combustion science/engineering.
• 5+ years of experience in designing and developing advanced combustion systems, preferably for engines or gas turbines.
• Strong theoretical and practical knowledge of combustion chemistry, flame dynamics, heat transfer, and emissions formation.
• Experience with CFD tools for combustion modeling (e.g., ANSYS Fluent, StarCCM+ with combustion modules).
• Hands-on experience with combustion test rigs and emissions measurement techniques.
• Experience with hydrogen and/or ammonia combustion is highly desirable.

The Role

Apply your deep expertise in Stirling engine technology to design and optimize the core CSLG engine. You will focus on the thermodynamic cycle, regenerator effectiveness, heat exchanger performance (hot and cold ends), piston/displacer dynamics, high-pressure sealing solutions (especially for hydrogen), and minimizing dead volumes to achieve industry-leading efficiency. You will report functionally within the CSLG stream and be coordinated by the CSLG Lead.

Key Responsibilities

• Lead the design and optimization of the CSLG Stirling engine components, including regenerator, heat exchangers, pistons, displacers, and sealing systems.
• Perform thermodynamic cycle analysis and simulations to maximize engine efficiency and power output.
• Focus on critical Stirling engine parameters: regenerator effectiveness, heat transfer coefficients, pressure drop, dead volume, and mechanical friction.
• Develop and test innovative solutions for high-pressure hydrogen sealing.
• Collaborate with the Combustion Engineer on the hot-end heat exchanger design and integration.
• Support mechanical and CAE engineers with specialized Stirling engine knowledge.

Who You Are

• Master's or PhD in Mechanical Engineering with a strong specialization in Stirling engines or related thermodynamic cycles.
• 5+ years of hands-on experience in the design, analysis, and testing of Stirling engines.
• Deep understanding of Stirling cycle theory, regenerator design, heat exchanger optimization, and gas dynamics in oscillating flows.
• Experience with analytical and numerical modeling tools for Stirling engine performance prediction.
• Knowledge of materials suitable for high-temperature and high-pressure hydrogen environments.
• Proven track record of innovative solutions in Stirling engine development.

The Role

Spearhead our AI/ML strategy from the ground up! You will be pivotal in integrating Artificial Intelligence and Machine Learning into all aspects of our development, from accelerating design iterations and optimizing system controls to analyzing complex test data. You will establish our AI/ML capabilities, build data pipelines, and deliver high-impact solutions that directly support our rapid prototyping, system optimization, and long-term development goals.

Key Responsibilities

• Develop and execute Power Nobility's AI/ML strategy in alignment with overall technology roadmap.
• Lead the design and implementation of ML models for applications such as surrogate modeling, AI-assisted data analysis, guiding generative design, control loop optimization, and predictive maintenance.
• Establish robust data pipelines for AI/ML model training.
• Implement initial MLOps practices for model versioning, deployment, and monitoring.
• Collaborate intensely with CAE, Controls, Test, and Design engineering teams to embed AI/ML solutions.
• Stay current with the latest AI/ML advancements and identify new opportunities.
• Mentor future AI/ML team members.

Who You Are

• Master's or PhD in Computer Science, Data Science, Engineering, or a related quantitative field.
• Significant hands-on experience (5+ years) in developing and deploying ML models in an industrial or R&D context.
• Strong programming skills in Python and proficiency with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data engineering and building data pipelines.
• Proven ability to translate complex engineering problems into effective AI/ML solutions.
• Experience with surrogate modeling, generative AI applications, or reinforcement learning is a strong plus.

The Role

Spearhead our test and validation efforts to rigorously prove the performance and reliability of our groundbreaking technologies. You will design, build, and manage automated test rigs, oversee extensive data acquisition for FuelGen, CSLG, and the integrated GenBox-Omni system, and play a key role in achieving critical validation milestones, including TRL 5, thereby proving our system's readiness for the next stages of deployment.

Key Responsibilities

• Design and develop automated test rigs for component-level (regenerators, FuelGen modules, CSLG subsystems) and system-level (GenBox-Omni TRL 5 rig) validation.
• Define test plans, procedures, and success criteria for TRL 5 validation and beyond.
• Lead the execution of all test activities, ensuring accurate data acquisition from large datasets.
• Analyze test results, identify performance characteristics, and troubleshoot issues.
• Manage instrumentation, DAQ systems (NI platform preferred), and test lab infrastructure.
• Work closely with design and simulation engineers to correlate test data with models.
• Ensure safe operation of all test equipment and procedures, especially concerning hydrogen.

Who You Are

• Bachelor's or Master's in Mechanical, Electrical, or a related engineering field.
• 5+ years of experience in test engineering, validation, and R&D, preferably with complex hardware systems.
• Strong experience with instrumentation, data acquisition systems (e.g., National Instruments LabVIEW/TestStand), and sensor technology.
• Proven ability to design and build automated test rigs.
• Experience managing and analyzing large datasets.
• Knowledge of hydrogen safety and handling is a significant plus.

The Role

This is an ESSENTIAL role focusing on leveraging advanced composite materials (carbon fiber, fiberglass, etc.) to enhance our FuelGen components. You will lead the design, material selection, specification, and QA/testing for these critical parts, managing outsourced fabrication. You will be primarily coordinated by the FuelGen Lead.

Key Responsibilities

• Lead the design and specification of composite components primarily for FuelGen, considering weight, corrosion resistance, and complex shape requirements.
• Select appropriate composite materials (fibers, resins) and manufacturing processes.
• Develop rigorous internal QA/testing procedures for composite components.
• Manage relationships with specialist vendors for outsourced fabrication of composite prototypes and parts.
• Oversee quality control and ensure components meet design specifications.
• Stay abreast of advancements in composite materials and manufacturing techniques.

Who You Are

• Bachelor's or Master's in Materials Science, Mechanical Engineering, or a related field with a strong focus on composite materials.
• Extensive experience in the design, analysis, and manufacturing of composite components.
• Knowledge of various composite materials, resin systems, and fabrication processes (e.g., filament winding, resin infusion, autoclave).
• Experience with NDT and mechanical testing of composites.
• Experience managing external vendors for composite manufacturing.

The Role

This NEW and CRITICAL role ensures our cutting-edge R&D is powered by robust High-Performance Computing (HPC) and IT infrastructure. You will manage our in-house HPC servers (TR PRO 7995WX, NVIDIA L40S), network, storage, software installations (CAD, CAE, AI/ML), job scheduling, backups, and provide essential user support to our engineering team.

Key Responsibilities

• Install, configure, and maintain HPC servers, storage systems, and high-speed networks (10GbE+).
• Manage software licenses and installations for engineering tools (CAD, CAE, Generative Design, AI/ML).
• Implement and manage job scheduling systems for HPC resources.
• Monitor system performance, troubleshoot issues, and ensure high availability.
• Manage data backup and recovery procedures.
• Provide IT support to the engineering team for HPC and general IT needs.
• Ensure robust power and cooling for the dedicated HPC Server Zone.

Who You Are

• Bachelor's degree in Computer Science, IT, or a related field.
• Proven experience as an HPC Administrator or Senior System Administrator in a demanding technical environment.
• Strong knowledge of Linux and Windows Server operating systems.
• Experience managing HPC hardware (CPUs, GPUs like NVIDIA L40S, fast NVMe storage, high-speed networking).
• Familiarity with job schedulers (e.g., Slurm, PBS) and parallel file systems.
• Experience managing licenses for engineering software.
• (Ideally) Experience with liquid cooling systems for servers.

The Role

Apply your expertise in Finite Element Analysis (FEA) and Electromagnetics (EM) simulation primarily to our innovative FuelGen technology. You will analyze structural integrity, optimize electromagnetic performance for its homopolar generator, and investigate rotordynamics and vibration/NVH characteristics for its high-speed rotating components. You may also support CSLG alternator analysis, coordinated primarily by the FuelGen Lead.

Key Responsibilities

• Perform structural FEA for FuelGen components under mechanical, thermal, and dynamic loads.
• Conduct electromagnetics simulations for the FuelGen's homopolar generator and other electromagnetic mechanisms.
• Lead rotordynamics analysis for FuelGen's high-speed rotating elements, including critical speed, balancing, and stability assessments.
• Analyze vibration, Noise, Vibration, and Harshness (NVH) characteristics for FuelGen.
• Provide EM/FEA support for the CSLG alternator as needed.
• Optimize designs based on simulation results to improve performance, reliability, and cost.

Who You Are

• Master's or PhD in Mechanical or Electrical Engineering with specialization in FEA, Electromagnetics, and/or Rotordynamics.
• Proficiency with FEA software (e.g., ANSYS Mechanical, Abaqus) and EM simulation tools (e.g., ANSYS Maxwell, COMSOL).
• Strong experience in structural analysis, dynamics, and ideally specific expertise in high-speed rotating machinery analysis, rotordynamics, and homopolar generator design/analysis.

The Role

Leverage your CFD and thermal simulation expertise to support the CSLG development (working with the Combustion and Stirling specialists) and to analyze and optimize the overall thermal management of the integrated GenBox-Omni system. Your work will ensure efficient heat transfer, manage waste heat recovery, and maintain optimal operating temperatures for all components, coordinated by the CSLG Lead and System Integration Lead.

Key Responsibilities

• Support the CSLG Combustion Engineer and Stirling Engine Design Engineer with specialized CFD simulations related to fluid flow, heat transfer, and combustion within the CSLG.
• Perform system-level thermal analysis for the entire GenBox-Omni platform, including heat rejection, waste heat recovery, and thermal interactions between subsystems.
• Model and optimize fluid flow and heat transfer in heat exchangers, cooling systems, and thermal insulation.
• Analyze thermal aspects of FuelGen operation if required.
• Run simulations on HPC infrastructure and validate results against test data.

Who You Are

• Master's or PhD in Mechanical or Aerospace Engineering with a strong focus on CFD and thermal sciences.
• Expertise in CFD software (ANSYS Fluent, Simcenter StarCCM+) and thermal analysis tools.
• Experience in simulating heat transfer (conduction, convection, radiation), fluid dynamics, and ideally combustion or thermodynamic cycles.
• Ability to analyze complex thermal systems and propose effective design solutions.

The Role

Join our team to develop and implement advanced control strategies for our innovative FuelGen, CSLG, and integrated GenBox-Omni systems. You will be instrumental in automating operations, ensuring safety, optimizing performance, and potentially integrating cutting-edge AI/ML control algorithms. You will work closely with all stream leads but primarily be coordinated by the Lead System Integration Engineer for system-level control architecture, all crucial for successful system validation (TRL 5) and progression to commercial systems.

Key Responsibilities

• Design, develop, program, and test control software for FuelGen, CSLG, and GenBox-Omni.
• Implement control logic for system automation, safety interlocks, and performance optimization (e.g., energy arbitrage, thermal management).
• Integrate sensors, actuators, and communication protocols within the control system.
• Support system testing, validation, and commissioning activities.
• Collaborate with AI/ML engineers to integrate advanced control models (desirable).
• Develop HMI/SCADA interfaces for system monitoring and operation.

Who You Are

• Bachelor's or Master's in Electrical, Controls, or Mechatronics Engineering.
• Experience with PLC programming (e.g., Siemens, Allen-Bradley), embedded systems, and real-time control.
• Proficiency in control theory and system modeling (MATLAB/Simulink a plus).
• Familiarity with industrial communication protocols (e.g., Modbus, CAN, Ethernet/IP).
• Experience with HMI/SCADA development.
• Experience or strong interest in integrating AI/ML into control systems is highly desirable.

The Role

Champion the use of cutting-edge generative design and optimization tools to create innovative and highly efficient components for our FuelGen and CSLG systems. You will define design constraints, interpret complex outputs, and work to push the boundaries of component design, often informed by AI/ML insights. You will be a specialized resource applied across multiple streams, coordinated by the Program Manager.

Key Responsibilities

• Utilize generative design software (e.g., nTopology, Inspire, Fusion 360 Generative Design) to explore novel design solutions for critical components.
• Define appropriate constraints, load cases, and manufacturing considerations for generative design studies.
• Interpret and refine generative design outputs for manufacturability and performance.
• Work closely with CAE and AI/ML engineers to integrate generative design into the rapid iteration loop.
• Contribute to topology optimization and material efficiency.

Who You Are

• Bachelor's or Master's in Mechanical Engineering or a related field.
• Proven experience with generative design tools and methodologies.
• Strong understanding of structural mechanics, material properties, and manufacturing processes (especially additive manufacturing).
• Ability to think creatively and translate complex requirements into effective design inputs.

The Role

As an AI/ML Engineer with a focus on Simulation & Design, you will be at the forefront of applying advanced machine learning techniques to enhance our engineering processes. You will leverage AI/ML to analyze complex simulation outputs, interpret experimental test data, and contribute to the optimization of our control systems. Your work will directly accelerate design iterations, improve system performance predictions, and uncover novel insights from diverse engineering datasets, working closely with CAE, controls, and test engineering teams.

Key Responsibilities

• Develop and validate AI/ML models (e.g., surrogate models, predictive models) using data from simulations (CFD, FEA, EM) and physical test rigs to accelerate design exploration and performance analysis.
• Apply machine learning techniques for time-series analysis, anomaly detection, and pattern recognition in control system logs and sensor data from test operations.
• Collaborate with controls engineers to explore and implement ML-driven enhancements for system control logic, including predictive control or adaptive algorithms.
• Work with design engineers to integrate AI/ML insights into the component and system design process, potentially guiding generative design efforts.
• Process, clean, and prepare large-scale, heterogeneous datasets from simulations, tests, and operational systems for ML model training and validation.
• Develop tools and dashboards for visualizing and interpreting AI/ML model outputs and their impact on engineering decisions.
• Stay current with advancements in AI/ML relevant to engineering applications, particularly in control systems, data analysis, and simulation.
• Document methodologies, model performance, and findings for internal knowledge sharing and potential IP generation.

Who You Are

• Master's or PhD in Engineering (Mechanical, Electrical, Controls), Computer Science, Data Science, or a related field with a strong emphasis on applied AI/ML.
• Proven experience (3+ years) in developing and applying machine learning models for real-world engineering problems, particularly in areas like:
  • Time-series data analysis and forecasting from sensor/test data.
  • Anomaly detection in operational or test data.
  • Developing data-driven models for system identification or control loop optimization.
• Strong programming skills in Python and proficiency with common data science and ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience in processing, cleaning, and analyzing large datasets from physical tests, sensor logs, or complex system operations.
• Familiarity with control theory, system dynamics, and ideally, experience with physical hardware systems (e.g., power generation, automotive, robotics).
• Understanding of data visualization techniques to communicate insights from test data and model performance.
• Ability to collaborate effectively with controls engineers, test engineers, and domain experts to understand requirements and integrate AI/ML solutions.
• (Desirable) Experience with simulation tools (e.g., MATLAB/Simulink, CFD, FEA) and an understanding of how their output data can inform or be augmented by test data analysis.
• (Desirable) Experience with reinforcement learning for control applications.

The Role

Safeguard and expand Power Nobility's valuable intellectual property. You will manage our IP portfolio, working closely with the technical team to proactively capture innovations in core technology, optimizations, control logic, composite applications, and AI models/methods, and liaise with our external IP firm.

Key Responsibilities

• Develop and implement Power Nobility's IP strategy.
• Work with engineering teams to identify and document patentable inventions.
• Manage the patent application process in collaboration with external patent attorneys.
• Conduct patent searches and freedom-to-operate analyses.
• Maintain the IP portfolio, including tracking deadlines and renewals.
• Educate the technical team on IP best practices.

Who You Are

• Degree in Engineering, Science, or Law with a specialization in Intellectual Property.
• Experience as an IP Manager, Patent Engineer, or Patent Agent, preferably in a technology company.
• Strong understanding of patent law and procedures.
• Ability to understand complex technical concepts.
• Excellent organizational and communication skills.

The Role

Provide expert consultancy on all aspects of hydrogen safety for our R&D facilities and technology development. Your guidance will be crucial in establishing a secure H2 handling zone, developing safe operating procedures, and ensuring compliance with all relevant safety standards, particularly through our initial setup and TRL 5 validation phase.

Key Responsibilities

• Advise on the design and setup of a safe hydrogen handling zone within the workshop/laboratory.
• Develop and review hydrogen safety protocols and emergency procedures.
• Provide training to staff on safe hydrogen handling and operations.
• Ensure compliance with local and international hydrogen safety regulations and standards.
• Advise on safety aspects of FuelGen, CSLG, and GenBox-Omni system design and testing.

Who You Are

• Certified Hydrogen Safety Professional or equivalent deep expertise.
• Extensive experience in hydrogen safety management, risk assessment, and regulatory compliance.
• Familiarity with designing and operating facilities handling hydrogen.
• This is envisioned as a consultant role, particularly for the initial setup and TRL 5 phase.

The Role

As an AI/ML Engineer specializing in Controls & Test Data, you will be deeply embedded with our controls and validation teams to leverage machine learning for optimizing real-time system performance and extracting critical insights from extensive test data. You will focus on developing intelligent control strategies, enhancing system responsiveness, and building models that predict behavior or detect anomalies in our FuelGen, CSLG, and GenBox-Omni systems during development and testing.

Key Responsibilities

• Design, implement, and test machine learning algorithms to enhance the performance, efficiency, and robustness of control systems for Power Nobility's technologies.
• Analyze large volumes of high-frequency data from test rigs and prototype operations to identify performance characteristics, degradation patterns, and opportunities for optimization.
• Develop predictive models for system behavior, component health, or energy output based on historical and real-time test data.
• Implement anomaly detection systems to flag unusual behavior or potential issues during testing and early-stage deployments.
• Collaborate closely with controls engineers to integrate ML models into existing control loops or develop new AI-driven control architectures.
• Work with the test and validation team to define data acquisition requirements necessary for effective ML model development and validation.
• Iteratively refine models based on new test data and changing system configurations.
• Contribute to the development of methodologies for validating the safety and reliability of AI/ML components within control systems.

Who You Are

• Master's or PhD in Controls Engineering, Electrical Engineering, Mechanical Engineering, or a related field with a strong specialization in AI/ML applications for dynamic and physical systems.
• Proven experience (3+ years) in applying machine learning techniques directly to:
  • Enhance or develop adaptive/predictive control systems.
  • Analyze complex, high-frequency sensor data from physical test beds.
  • System identification, fault detection, or predictive maintenance.
• Strong proficiency in Python and relevant ML/Data Science libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
• Deep understanding of control theory (classical and modern), signal processing, and time-series analysis.
• Hands-on experience working with data from sensors, DAQ systems, and instrumented hardware test environments.
• Ability to design experiments or data collection strategies to validate AI/ML models in a control or test setting.
• Excellent problem-solving skills to translate control challenges or test data patterns into actionable AI/ML projects.
• Strong collaboration skills to work effectively with controls, test, and system integration engineers.
• (Desirable) Experience with real-time data processing, embedded ML, or deploying ML models on edge devices.

The Role

As a Data Engineer at Power Nobility, you will be the architect and builder of our data ecosystem. You will design, develop, and maintain scalable and reliable data pipelines, ensuring that high-quality data from simulations, test rigs, IoT sensors, and future operational systems is efficiently collected, stored, transformed, and made accessible for our AI/ML engineers, data scientists, and engineering teams. Your work will be foundational to our data-driven decision-making and innovation.

Key Responsibilities

• Design, build, and maintain robust, scalable, and automated ETL/ELT data pipelines to ingest data from diverse sources (e.g., test equipment, simulation software, databases, APIs, sensor streams).
• Develop and manage data warehousing and data lake solutions for storing and organizing large volumes of structured and unstructured engineering data.
• Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, completeness, and consistency.
• Optimize data storage and processing for performance and cost-efficiency.
• Collaborate with AI/ML engineers and data scientists to understand their data requirements and provide them with clean, well-structured datasets for model training and analysis.
• Work with software and hardware engineers to define data formats and integration points for new data sources.
• Implement data governance and security best practices to protect sensitive information.
• Develop and maintain documentation for data pipelines, data models, and infrastructure.
• Explore and integrate new data engineering tools and technologies to enhance our data capabilities.

Who You Are

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
• Proven experience (3-5+ years) as a Data Engineer, with a strong portfolio of designing and implementing data pipelines and infrastructure.
• Strong proficiency in programming languages such as Python or Scala for data manipulation and pipeline development.
• Expertise in ETL/ELT processes and orchestration tools (e.g., Apache Airflow, Prefect, Azure Data Factory, AWS Glue, or similar).
• Hands-on experience with various data storage solutions: relational databases (e.g., PostgreSQL, MySQL), NoSQL databases, and cloud-based data lakes/warehouses (e.g., AWS S3, Azure Blob/Data Lake Storage, Snowflake, Google BigQuery).
• Proficiency in SQL and data modeling techniques (e.g., dimensional modeling, schema design).
• Experience with data streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) is a significant plus.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their core data services.
• Understanding of data governance, data quality frameworks, and data security principles.
• Experience working with engineering data, sensor data, IoT data, or time-series data is highly desirable.
• Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.

The Role

As an MLOps Engineer, you will be responsible for bridging the gap between machine learning model development and production operations. You will build and manage the infrastructure and processes required to reliably deploy, monitor, and maintain our AI/ML models across various applications, from supporting engineering simulations to potentially enhancing real-time control systems. Your work will ensure our ML solutions are scalable, robust, and consistently deliver value.

Key Responsibilities

• Design, build, and maintain robust CI/CD (Continuous Integration/Continuous Deployment) pipelines for machine learning models, automating testing, building, and deployment.
• Develop and manage infrastructure for serving ML models at scale, considering performance, latency, and cost (e.g., using containerization, serverless functions, or dedicated ML serving platforms).
• Implement comprehensive monitoring, logging, and alerting systems for ML models in production to track performance, detect drift, identify data quality issues, and ensure operational health.
• Manage model versioning, experiment tracking, and metadata management to ensure reproducibility and traceability of ML workflows.
• Collaborate with Data Scientists and AI/ML Engineers to understand model requirements and facilitate the transition of models from research to production.
• Work with Data Engineers to ensure seamless data flow between data pipelines and ML model serving/monitoring systems.
• Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) principles and tools.
• Establish and promote MLOps best practices across the AI/ML team.
• Troubleshoot and resolve issues related to ML model deployment, performance, and infrastructure.

Who You Are

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• Proven experience (3-5+ years) in an MLOps, DevOps, Site Reliability Engineering (SRE), or Software Engineering role with a strong focus on operationalizing machine learning systems.
• Strong understanding of the end-to-end machine learning lifecycle.
• Proficiency in scripting and programming languages (e.g., Python, Bash, Go).
• Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, ArgoCD).
• Expertise with containerization (Docker) and container orchestration (Kubernetes).
• Experience with ML model serving frameworks/tools (e.g., TensorFlow Serving, TorchServe, Seldon Core, KServe, BentoML, MLflow).
• Knowledge of monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK Stack, Datadog, or dedicated ML monitoring solutions).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their MLOps/AI platform services (e.g., SageMaker, Azure ML, Vertex AI).
• Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible, Pulumi).
• Understanding of software engineering best practices, including version control (Git), testing, and code quality.
• Strong problem-solving skills and a proactive approach to ensuring system reliability and performance.

The Role

Provide essential hands-on support to our engineering team. You will be responsible for operating and maintaining multiple advanced test rigs, assisting with the assembly of prototypes, potentially operating 3D metal printers, and contributing to the overall smooth functioning of our workshop and lab.

Key Responsibilities

• Assemble, operate, and maintain component and system-level test rigs (FuelGen, CSLG, GenBox-Omni).
• Assist with the fabrication and assembly of prototypes and test articles.
• Perform basic 3D printer operation and maintenance (metal AM a plus).
• Conduct routine tests and experiments according to established procedures.
• Maintain lab equipment, tools, and inventory.
• Adhere to all safety protocols, especially for hydrogen handling.

Who You Are

• Technical diploma or associate degree in a relevant engineering or technical field, or equivalent practical experience.
• Hands-on experience in a workshop or laboratory environment.
• Ability to read engineering drawings and schematics.
• Mechanical and/or electrical aptitude with good troubleshooting skills.
• Experience with test equipment, DAQ systems, or 3D printing is a plus.
• Strong attention to detail and commitment to safety.

The Role

Drive the adoption of our GenBox-Omni platform within the grid and energy services sector. You will identify and cultivate relationships with major utilities, Independent Power Producers (IPPs), Grid Service Providers, and Energy Infrastructure Developers to secure Power Purchase Agreements (PPAs), site hosting deals, and pilot projects.

Key Responsibilities

• Identify and target key players in the European (and later North American) grid infrastructure sector.
• Develop and execute strategies for market entry and customer acquisition.
• Build and maintain strong relationships with potential strategic partners and customers.
• Lead negotiations for PPAs, site hosting agreements, and other commercial contracts.
• Understand customer needs related to grid stability, renewable integration, curtailment, and distributed energy resources (DERs).
• Represent Power Nobility at industry events and conferences.

Who You Are

• Proven track record in business development or sales within the energy sector, specifically dealing with utilities, IPPs, or grid services.
• Strong understanding of energy markets, grid operations, and renewable energy integration challenges.
• Experience negotiating complex commercial agreements (PPAs highly desirable).
• Excellent communication, presentation, and networking skills.
• Ability to work strategically and independently to achieve ambitious targets.

The Role

Champion the adoption of our CSLG powertrain and GenBox-Omni refueling solutions within the heavy transport and logistics industries. You will forge partnerships with large freight/logistics companies, public transport operators, fuel retailers, and potentially Tier 1 suppliers/OEMs.

Key Responsibilities

• Identify and target key players in the European (and later North American) heavy-duty transport and logistics sector.
• Develop and present compelling value propositions highlighting OpEx savings, ZEV compliance, and multi-fuel flexibility.
• Build relationships with fleet operators, fuel station networks, and vehicle leasing companies.
• Drive pilot programs for CSLG powertrain and GenBox-Omni refueling hubs.
• Understand customer needs related to decarbonization targets, fuel/energy operating costs, and hydrogen infrastructure.
• Represent Power Nobility at transport and logistics industry events.

Who You Are

• Proven experience in business development or sales within the transportation, logistics, or automotive (heavy-duty) sectors.
• Understanding of fleet operations, alternative fuels, ZEV mandates, and hydrogen refueling infrastructure.
• Strong network within the target industries.
• Excellent negotiation, presentation, and relationship-building skills.
• Ability to translate technical benefits into compelling commercial advantages.

The Role

Manage and expand our critical strategic partnerships with industrial manufacturers and OEMs, such as our existing engineering partnership with Aurobay. You will ensure successful collaboration for CSLG powertrain development, component sourcing, and scaling manufacturing capabilities.

Key Responsibilities

• Manage the day-to-day relationship and project execution with key industrial partners like Aurobay.
• Define and manage Statements of Work (SoWs), KPIs, and review processes for partnerships.
• Identify and engage with potential new partners for component manufacturing, powertrain integration, and technology co-development.
• Negotiate terms for technical collaborations and supply agreements.
• Ensure alignment between Power Nobility's technical roadmap and partner capabilities.

Who You Are

• Degree in Engineering or Business with strong technical acumen.
• Experience in managing strategic partnerships, supplier relationships, or JVs in an industrial or automotive manufacturing environment.
• Understanding of manufacturing processes, quality control, and supply chain management.
• Excellent communication, negotiation, and stakeholder management skills.
• Ability to manage complex technical and commercial relationships.

The Role

Be the organizational backbone of our growing team. You will manage daily office operations, provide administrative support, and ensure a smooth and efficient work environment for our engineers and leadership.

Key Responsibilities

• Manage office supplies, equipment, and vendor relationships.
• Provide administrative support to the CTO and technical team (scheduling, travel, documentation).
• Assist with onboarding new employees.
• Coordinate team meetings and events.
• Handle general office correspondence and inquiries.
• Support basic HR and finance administrative tasks as needed.

Who You Are

• Proven experience as an Office Manager, Administrator, or Executive Assistant.
• Excellent organizational and time-management skills.
• Proficiency in office software (MS Office Suite, G Suite).
• Strong communication and interpersonal skills.
• Ability to work independently and proactively in a fast-paced environment.

The Role

As Power Nobility advances its technology, secures significant funding, and moves towards commercial scaling and a potential IPO, we anticipate the need for a seasoned financial leader. This future role will be critical in managing large-scale financing, M&A activities, IPO preparation, and public company financial management, guiding the company's financial strategy through rapid growth.

Future Responsibilities Will Include

• Leading financing strategy and execution, including potential fundraising rounds, debt facilities, and IPO preparation.
• Developing robust financial systems and controls suited to a rapidly scaling company.
• Building and managing the finance, accounting, and potentially investor relations functions.
• Partnering with the executive team on strategic planning, capital allocation, and business optimization.
• Ensuring regulatory compliance and financial governance.

Ideal Future Candidate

• Proven CFO or senior finance leadership experience, preferably in clean tech, energy, or hardware-focused companies.
• Experience guiding companies through significant growth phases and financing events.
• Strong understanding of capital markets, corporate finance, and financial operations.
• Track record of building and scaling finance functions and teams.
• Strategic mindset with the ability to balance long-term vision with practical execution.

The Role

To support Power Nobility's global ambitions and the large-scale deployment of our technologies, we foresee the need for a proven leader in industrial operations and manufacturing. This future role will oversee the ramp-up and management of our manufacturing processes, supply chain, and deployment operations globally, ensuring quality, efficiency, and scalability.

Future Responsibilities Will Include

• Leading the development and execution of Power Nobility's global manufacturing strategy.
• Building and managing manufacturing and assembly facilities for our technology platforms.
• Establishing robust supply chains for key components and materials.
• Implementing quality control systems and continuous improvement processes.
• Ensuring operational efficiency, safety, and regulatory compliance.
• Scaling operations from initial production to high-volume manufacturing.

Ideal Future Candidate

• Extensive experience in manufacturing leadership, preferably in clean tech, energy systems, or complex industrial equipment.
• Track record of successfully scaling manufacturing operations from early stage to volume production.
• Strong understanding of modern manufacturing technologies, quality systems, and supply chain management.
• Experience with international manufacturing operations.
• Strategic mindset with hands-on operational capabilities.