Software Systems Engineer and Scientist-- AI/ML Micro-Sensor Systems

Software Systems Engineer and Scientist— AI/ML Micro-Sensor Systems

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Levels: Entry-Level / Associate, Mid-Level, Senior / Principal

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Employment Type: Full-time

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Work Environment: Collaborative, hands-on, AI-centric research, design, integration, and test environment

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Citizenship Requirement:U.S. CITIZENSHIP REQUIRED

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Position Summary

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We are seeking innovative Software Systems Engineers and Scientists, from entry-level through senior/principal levels, to help conceive, develop, integrate, and validate next-generation AI/ML-enabled multidimensional micro-sensor systems.

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Successful candidates will work in a creative, fast-moving technical environment where advanced artificial-intelligence tools, model-based engineering, automated test, simulation, and hands-on laboratory experimentation are integral to the design process. The role spans early concept development through deployed-system verification, including system architecture, requirements definition, software and algorithm development, sensor-data processing, hardware/software integration, and performance characterization using advanced instrumentation.

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The ideal candidate can move between high-level system thinking and detailed technical execution: translating mission and customer needs into measurable system specifications; developing robust software architectures, algorithms, and analytics; designing experiments; collecting and interpreting multidimensional sensor data; and using results to improve system performance.

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Applications may include compact sensing platforms, embedded and edge-AI systems, distributed sensor networks, RF and electromagnetic sensing, autonomous or uncrewed platforms, industrial monitoring, aerospace and defense systems, and other emerging intelligent-sensor applications.

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Core Responsibilities

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·       Envision and define innovative system solutions for AI/ML-enabled multidimensional micro-sensor products and platforms.

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·       Translate customer, mission, operational, and technical needs into clear, traceable system requirements, interfaces, architectures, specifications, and verification plans.

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·       Develop software, algorithms, models, and tools supporting sensor control, data acquisition, calibration, processing, fusion, visualization, analytics, and system-health monitoring.

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·       Design and implement AI/ML approaches for classification, detection, anomaly identification, prediction, sensor fusion, adaptive sensing, edge inference, and automated decision support.

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·       Participate in the complete engineering lifecycle: concept development, architecture, requirements, detailed design, implementation, integration, test, verification, validation, documentation, and transition to production or field deployment.

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·       Develop and execute laboratory and field-test plans using advanced instrumentation, automated test equipment, data-acquisition systems, environmental-test resources, and custom test fixtures.

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·       Analyze complex multidimensional data sets to quantify sensor, algorithm, and system performance; identify root causes; and recommend corrective actions or design improvements.

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·       Integrate software with embedded processors, FPGAs, microcontrollers, sensor interfaces, communications links, cloud or edge-computing resources, and test equipment, as applicable.

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·       Develop reusable internal tools, software frameworks, test automation, data pipelines, simulation environments, and engineering workflows that improve development speed, traceability, technical quality, and repeatability.

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·       Collaborate with scientists, electrical engineers, RF/microwave engineers, firmware and FPGA developers, mechanical engineers, test engineers, program managers, customers, and external partners.

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·       Prepare technical documentation, including architecture descriptions, interface-control documents, requirements specifications, test procedures, test reports, design-review materials, and customer deliverables.

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·       Maintain awareness of emerging AI/ML methods, sensor technologies, software-development practices, instrumentation capabilities, and relevant commercial and government technology trends.

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Entry-Level / Associate Expectations

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Entry-level engineers and scientists will work under the guidance of experienced technical staff while building broad experience in AI-enabled sensing systems, embedded and systems software, engineering analysis, and laboratory test.

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Typical responsibilities include:

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·       Assist with software development, data analysis, algorithm prototyping, test automation, and sensor-data collection.

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·       Support requirements decomposition, design documentation, interface definition, and system-verification activities.

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·       Develop scripts, utilities, dashboards, and analysis tools for laboratory and field-test data.

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·       Assist with integration and troubleshooting of sensor hardware, embedded platforms, data-acquisition equipment, and software systems.

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·       Operate laboratory instrumentation and automated test equipment under approved procedures.

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·       Participate in design reviews, technical brainstorming, demonstrations, and customer-facing technical activities.

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·       Learn and apply sound practices for software configuration management, documentation, cybersecurity, quality assurance, and test discipline.

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Senior / Principal Expectations

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Senior and principal engineers and scientists will provide technical leadership across the system lifecycle and help establish the architecture, technical strategy, and execution approach for complex sensor-system programs.

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·       Lead system concept development, architecture definition, requirements allocation, and technical trade studies for AI/ML-enabled sensor systems.

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·       Define scalable software, data, and test architectures spanning embedded, edge, distributed, and cloud-connected elements, where appropriate.

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·       Lead the design and implementation of advanced AI/ML algorithms, sensor-fusion architectures, data-processing pipelines, and automated verification capabilities.

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·       Establish quantitative performance metrics, test strategies, acceptance criteria, and verification methods for multidimensional sensing systems.

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·       Lead complex integration, troubleshooting, root-cause analysis, and corrective-action efforts involving software, algorithms, sensors, electronics, embedded platforms, and instrumentation.

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·       Serve as a technical lead or principal investigator on internal R&D, customer-funded development, aerospace, defense, industrial, or commercial programs.

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·       Mentor junior engineers and scientists, conduct technical reviews, and strengthen organizational standards for engineering rigor, software quality, automation, security, and innovation.

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•  Contribute to proposals, technical roadmaps, customer briefings, product definitions, intellectual-property development, and technology-transition strategies.
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Entry-Level / Associate

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·       Bachelor’s degree in computer science, software engineering, electrical engineering, computer engineering, physics, applied mathematics, data science, systems engineering, or a related technical discipline.

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·       Demonstrated interest or coursework in software development, embedded systems, AI/ML, data science, signal processing, sensors, robotics, controls, or systems engineering.

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·       Familiarity with one or more programming languages such as Python, C, C++, Rust, MATLAB, Julia, or similar languages.

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·       Ability to analyze technical problems, learn rapidly, communicate clearly, and work effectively in a multidisciplinary engineering team.

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·       Interest in hands-on development, laboratory work, debugging, measurement, testing, and iterative prototyping.

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Senior / Principal

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·       Bachelor’s degree plus 8+ years of relevant experience, master’s degree plus 5+ years, or Ph.D. plus 2+ years; equivalent combinations of education, research, and professional experience will be considered.

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·       Demonstrated experience leading or making major technical contributions to complex software, AI/ML, sensor, embedded, autonomous, cyber-physical, signal-processing, or systems-engineering programs.

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·       Strong experience with systems engineering, requirements development, architecture definition, interface management, verification planning, and technical trade studies.

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·       Proven ability to take an ambiguous technical problem from concept through architecture, detailed design, integration, test, and customer demonstration or deployment.

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Strong technical writing and communication skills, including the ability to produce specifications, design documentation, test reports, and customer-facing technical materials.

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Desired Technical Qualifications

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Candidates are not expected to possess every qualification. We welcome applicants with depth in several of the following areas:

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·       AI/ML model development, training, optimization, validation, deployment, monitoring, or edge inference.

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·       Machine-learning frameworks such as PyTorch, TensorFlow, JAX, scikit-learn, ONNX, or equivalent tools.

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·       Sensor-data processing, multisensor fusion, time-series analysis, classification, detection, tracking, anomaly detection, or predictive analytics.

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·       Embedded software, real-time operating systems, Linux, device drivers, hardware-abstraction layers, microcontrollers, SoCs, GPUs, NPUs, or FPGA-adjacent software development.

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·       Python, C/C++, MATLAB, data-analysis workflows, software-test frameworks, version control, continuous integration, containerization, and reproducible development environments.

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·       Systems modeling and simulation, digital engineering, model-based systems engineering, SysML/UML, MATLAB/Simulink, or equivalent tools.

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·       Laboratory instrumentation and automation, including oscilloscopes, spectrum analyzers, vector signal analyzers/generators, network analyzers, logic analyzers, power analyzers, DAQ systems, environmental-test equipment, and custom automated-test systems.