Develop a physics‑based, system‑level model of a high‑pressure multi‑tank hydrogen storage system for Volvo Group’s fuel cell electric vehicle (FCEV) programmes.
Responsibilities
Develop a physics‑based, system‑level model of a high‑pressure multi‑tank hydrogen storage system
Integrate the model into the Global Simulation Platform (GSP) FCEV vehicle model
Validate the model against measured or supplier data
Model real‑gas thermodynamic and thermal behaviour of the tanks during driving and refuelling
Model the hydrogen supply path (valves and pressure regulation) to the fuel cell system
Requirements
MSc in mechanical, energy, mobility or electrical engineering, or engineering physics
Verification Engineer responsible for system verification of powertrain propulsion systems using HIL rigs and vehicles, developing automated test methods, and collaborating with global teams.
Responsibilities
Perform system verification using HIL rigs and vehicles
Develop automated test methods, specifications, and verification scopes
Configure, maintain, and improve HIL rigs and test environments
Investigate failures, troubleshoot complex system behaviors, support root cause analysis
Collaborate with Product Owners, Embedded Solution Leaders, software developers, and stakeholders
Requirements
Engineering degree in Electrical Engineering, Electronics, Mechatronics, Control and Automation Engineering, Computer Engineering, or a related field
Lead radar architecture development and technical roadmaps, aligning simulation and algorithm development with mission requirements and program objectives.
Locations (2)
Richardson, Texas, United States
Plano, Texas, United States
Compensation
In compliance with pay transparency requirements, the salary range for this role in Texas is $140,500 - $261,500.
Responsibilities
Lead radar architecture development and technical roadmaps, aligning simulation and algorithm development with mission requirements and program objectives.
Develop, integrate, and validate high-fidelity radar models spanning RF front ends, transmit/receive chains, antennas, propagation, target signatures, operational environments, and signal processing.
Design and evaluate radar waveforms and processing algorithms, including pulse compression, Doppler processing, beamforming, detection, and tracking.
Provide technical expertise in electronic protection algorithms, including waveform design, adaptive interference cancellation, and cognitive approaches.
GE Aerospace Research - Controls & Optimization Internship, 2027
Intern on the Controls & Optimization team developing advanced control system technology for jet engines and aircraft systems.
Compensation
The pay range for this position is $1,000-$2,200 USD weekly.
Responsibilities
Develop and implement advanced modeling, control, optimization, estimation, or detection algorithms for complex aerospace systems such as jet engines.
Build simulation models of dynamic systems and use them to evaluate, tune, and compare your algorithms.
Validate the performance of your solution through simulation.
Collaborate with researchers across GE Aerospace Research and GE Aerospace, sharing progress in team meetings and technical reviews.
Document your methods and results in a technical report and present your work to research leadership at the end of the internship.
Requirements
Master’s or PhD degree program in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, or a related field
Lead the architecture of real-time control software for wind turbines, guide modernization across product generations, and build robust, maintainable industrial solutions.
Responsibilities
Define and evolve the software architecture, interfaces, and design principles for real-time wind turbine control systems.
Turn product and control requirements into modular, testable software designs with systems, controls, and quality teams.
Lead modernization efforts for legacy software and assess functional equivalence, performance, and resource use as designs evolve.
Guide model-based development using MATLAB/Simulink, automatic code generation, and complementary embedded software in C/C++.
Set verification strategies across unit, integration, and system-level testing, including support for build, release, configuration management, and continuous integration.
Lead the architecture of real‑time control software for wind turbines, modernize legacy systems, and guide cross‑functional teams in a renewable energy context.
Responsibilities
Define and evolve software architecture, interfaces, and design principles for real‑time wind turbine control systems
Turn product and control requirements into modular, testable software designs
Lead modernization efforts for legacy software
Guide model‑based development using MATLAB/Simulink and automatic code generation
Set verification strategies across unit, integration, and system‑level testing
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Principal Design Engineer, Electrical responsible for vehicle electrical/electronic architecture, leading technical direction, integration, and mentorship across multiple vehicle platforms.
Responsibilities
Define and maintain vehicle electrical/electronic architecture roadmap
Lead electrical design and integration decisions
Guide schematic and detailed design reviews
Mentor engineers at all levels
Translate vehicle functions into traceable system requirements
Requirements
Bachelor of Science in Electrical Engineering
Bachelor of Science in Computer Engineering
Bachelor of Science in a closely related engineering discipline
We are seeking an experienced Robotics/Actuator Embedded Software Engineer to join our humanoid robotics team to own the design, architecture, and delivery of advanced actuator control software and related features for humanoid robots.
Responsibilities
Architect, develop, and optimize real-time control algorithms and features for humanoid robot actuators across position, torque, impedance, and hybrid control modes.
Design and implement robust, high-performance embedded and high-level software for actuator control loops, state estimation, safety monitoring, and fault handling.
Collaborate with mechanical, electrical, and systems engineers to integrate new actuator capabilities into the humanoid platform and resolve complex cross-domain issues.
Lead system identification, parameter estimation, and correlation activities between physical hardware and digital models; establish metrics and processes for ongoing model fidelity.
Define and execute testing, debugging, and performance analysis strategies on both hardware and simulation platforms; establish verification and validation approaches for control and twin systems.
Model RF impairments and hardware effects, including noise figure, gain and loss, phase noise, nonlinearities, dynamic range, I/Q imbalance, and channel mismatch.
Requirements
Bachelor’s Degree
Graduate Degree
Advanced degree in related technical discipline
Nice to have: Advanced degree in related technical discipline
Nice to have: Experience with phased-array or active electronically scanned array (AESA) radar