Job Requirements
Remote Carlsbad, CA
Secret Polygraph not specified
Career Level not specified
$200,000 - $240,000
Job Description
seeking a Senior Engineer who can operate as a Principal Investigator for a fast-paced digital signal processing sensing-centric development program! This role requires deep system-level expertise across high-fidelity simulation development and analysis for sensors, with knowledge of signal acquisition, embedded processing, software, hardware, integration, and test, paired with strong technical leadership and cross-team coordination.
You will serve as the technical authority for mixed-fidelity simulation development and analysis for sensing systems, driving end-to-end simulation architecture for our sensing elements through data processing and system-level performance. This role is hands-on and you will need to interface with customers while developing advanced simulation frameworks.
The day-to-day
Modeling and Simulation
Lead the design, development, and validation of mixed-fidelity simulation frameworks spanning sensor phenomenology, signal acquisition, processing pipelines, and system-level performance
Define simulation architecture strategies for next-generation sensing system designs, including sensor element selection, processing chain topology, and hardware/software partitioning
Develop physics-based models of sensing elements, noise sources, and interference conditions relevant to the program domain
Author simulation validation plans and establish correlation between simulation outputs and hardware-in-the-loop (HIL), bench, and field test results
Maintain modular, version-controlled simulation repositories, enabling continuous improvement in model coverage and fidelity
Signal Processing
Develop and apply signal processing algorithms including detection, estimation, filtering, spectral analysis, and statistical performance characterization across relevant sensing domains
Model signal chains from sensor to output, including noise, interference, and environmental effects that drive system performance margins
Define and evaluate signal processing performance metrics and translate them into actionable guidance for hardware and embedded software teams
Validate signal processing models against measured data, identifying and closing fidelity gaps through iterative refinement
Team Coordination
Serve as the principal investigator and technical lead for the simulation workstream, setting direction and ensuring alignment across algorithm, embedded software, hardware, and systems engineering teams
Lead technical reviews including PDR, CDR, and similar program reviews; deliver simulation products and provide peer review of modeling efforts across the team
Identify simulation capability gaps relative to program objectives and develop and execute roadmap improvements
Mentor junior engineers in simulation methodology, signal processing fundamentals, and analysis best practices
Customer-Facing Experience
Serve as the primary technical interface to customers on simulation methodology, modeling assumptions, uncertainty quantification, and system performance predictions
Translate complex simulation results into concise findings and technical reports suitable for program leadership and customer review
Support proposal efforts by defining simulation scope, articulating technical discriminators, and contributing to statement of work and basis-of-estimate documentation
What you'll need
Bachelor of Science in Electrical Engineering, Physics, Computer Engineering, or closely related field (MSEE or Ph.D. preferred)
10+ years of experience in modeling and simulation of sensing or signal processing systems, with demonstrated ownership of simulation frameworks on program development efforts
Proficiency in simulation and analysis tools including MATLAB/Simulink, Python (NumPy, SciPy, PyTorch), or equivalent; experience structuring large-scale, maintainable simulation codebases
Prior experience as a principal investigator or technical lead on a U.S. government or defense program, including direct customer interaction at technical interchanges and program reviews
Active Secret clearance with the ability to obtain and maintain a Top Secret / SCI security clearance
Able to travel up to 10%
Must be able to work out of the Carlsbad, CA office (preferred) or Tempe, CA office
What will help you on the job
Master's or Ph.D. in Electrical Engineering, Physics, or a related technical discipline with a focus on signal processing, sensing systems, or applied electromagnetics
Active TS/SCI security clearance
Hands-on experience with multi-domain sensors (RF, EO/IR, acoustic, or lidar), including familiarity with phenomenological modeling approaches specific to those domains
Experience with Operational Analysis tools such as AFSIM
Background in embedded or real-time DSP implementations on FPGA or embedded CPU platforms, enabling high-fidelity simulation-to-hardware translation
Experience with hardware-in-the-loop simulation integrated with bench or field test infrastructure
Familiarity with model-based systems engineering (MBSE) methodologies and system-level performance budgeting and error allocation
Demonstrated track record of peer-reviewed publication, patent authorship, or equivalent technical contribution in sensing, signal processing, or simulation
You will serve as the technical authority for mixed-fidelity simulation development and analysis for sensing systems, driving end-to-end simulation architecture for our sensing elements through data processing and system-level performance. This role is hands-on and you will need to interface with customers while developing advanced simulation frameworks.
The day-to-day
Modeling and Simulation
Lead the design, development, and validation of mixed-fidelity simulation frameworks spanning sensor phenomenology, signal acquisition, processing pipelines, and system-level performance
Define simulation architecture strategies for next-generation sensing system designs, including sensor element selection, processing chain topology, and hardware/software partitioning
Develop physics-based models of sensing elements, noise sources, and interference conditions relevant to the program domain
Author simulation validation plans and establish correlation between simulation outputs and hardware-in-the-loop (HIL), bench, and field test results
Maintain modular, version-controlled simulation repositories, enabling continuous improvement in model coverage and fidelity
Signal Processing
Develop and apply signal processing algorithms including detection, estimation, filtering, spectral analysis, and statistical performance characterization across relevant sensing domains
Model signal chains from sensor to output, including noise, interference, and environmental effects that drive system performance margins
Define and evaluate signal processing performance metrics and translate them into actionable guidance for hardware and embedded software teams
Validate signal processing models against measured data, identifying and closing fidelity gaps through iterative refinement
Team Coordination
Serve as the principal investigator and technical lead for the simulation workstream, setting direction and ensuring alignment across algorithm, embedded software, hardware, and systems engineering teams
Lead technical reviews including PDR, CDR, and similar program reviews; deliver simulation products and provide peer review of modeling efforts across the team
Identify simulation capability gaps relative to program objectives and develop and execute roadmap improvements
Mentor junior engineers in simulation methodology, signal processing fundamentals, and analysis best practices
Customer-Facing Experience
Serve as the primary technical interface to customers on simulation methodology, modeling assumptions, uncertainty quantification, and system performance predictions
Translate complex simulation results into concise findings and technical reports suitable for program leadership and customer review
Support proposal efforts by defining simulation scope, articulating technical discriminators, and contributing to statement of work and basis-of-estimate documentation
What you'll need
Bachelor of Science in Electrical Engineering, Physics, Computer Engineering, or closely related field (MSEE or Ph.D. preferred)
10+ years of experience in modeling and simulation of sensing or signal processing systems, with demonstrated ownership of simulation frameworks on program development efforts
Proficiency in simulation and analysis tools including MATLAB/Simulink, Python (NumPy, SciPy, PyTorch), or equivalent; experience structuring large-scale, maintainable simulation codebases
Prior experience as a principal investigator or technical lead on a U.S. government or defense program, including direct customer interaction at technical interchanges and program reviews
Active Secret clearance with the ability to obtain and maintain a Top Secret / SCI security clearance
Able to travel up to 10%
Must be able to work out of the Carlsbad, CA office (preferred) or Tempe, CA office
What will help you on the job
Master's or Ph.D. in Electrical Engineering, Physics, or a related technical discipline with a focus on signal processing, sensing systems, or applied electromagnetics
Active TS/SCI security clearance
Hands-on experience with multi-domain sensors (RF, EO/IR, acoustic, or lidar), including familiarity with phenomenological modeling approaches specific to those domains
Experience with Operational Analysis tools such as AFSIM
Background in embedded or real-time DSP implementations on FPGA or embedded CPU platforms, enabling high-fidelity simulation-to-hardware translation
Experience with hardware-in-the-loop simulation integrated with bench or field test infrastructure
Familiarity with model-based systems engineering (MBSE) methodologies and system-level performance budgeting and error allocation
Demonstrated track record of peer-reviewed publication, patent authorship, or equivalent technical contribution in sensing, signal processing, or simulation
group id: 10106647
