{"schemaVersion":"jobsearcher.job.v1","id":"eab5ca7ed2278e5fde9e43a8","url":"https://jobsearcher.com/jobs/eab5ca7ed2278e5fde9e43a8","canonicalUrl":"https://jobsearcher.com/jobs/eab5ca7ed2278e5fde9e43a8","title":"Wireless Systems Engineer","description":"About HydronetHydronet is a deep-tech startup building next-generation, AI-powered, and software-defined underwater sensing, communication, networking, and analytics technology. We are on a mission to revolutionize connected underwater intelligence.The RoleWe are hiring a Wireless Systems Engineer to drive physical-layer algorithm development and prototyping for our core platform. You'll design, simulate, implement, and validate wireless communication algorithms — and see them through to working hardware, from early prototypes to deployed products. This is a hands-on role with significant technical ownership in a startup environment, working closely with system architects, software and hardware engineers, and product leadership.ResponsibilitiesDesign, simulate, implement, and validate communication algorithms — including modern AI/ML-driven approaches — and see them through the full lifecycle, from prototype to product.Build simulation models (e.g., MATLAB, Python, C/C++) to validate algorithm performance under realistic channel and impairment conditions, and to support design trade-offs for production systems.Implement, optimize, and harden algorithms on target platforms (FPGAs, SoCs, SDRs, or DSPs), taking them from early prototypes through to deployable, product-grade implementations.Conduct lab, tank, and in-water field testing over real underwater channels; characterize system performance, validate against product requirements, and iterate based on measured results.Collaborate cross-functionally on system architecture, transducer/optical front-end integration, and product requirements to ensure algorithms meet performance, reliability, and manufacturability targets.Document designs, test results, and trade-off analyses to support team alignment, product release readiness, and IP development.QualificationsCandidates should meet one of the following profiles:PhD in Electrical Engineering, Wireless Communications, Signal Processing, or a closely related field, with demonstrated experience in physical-layer algorithm development, implementation, and prototyping; ORMaster's degree in a related field, combined with 3–4 years of industry experience in product-level development of communication systems, with a proven track record taking physical-layer designs from concept through implementation.In addition, all candidates should have:Strong foundation in digital signal processing, communication theory, and physical-layer system design.Hands-on experience with simulation tools and at least one prototyping platform (FPGA, SDR, or embedded DSP).Comfort operating in a startup environment — adaptable, self-directed, and able to navigate ambiguity.Preferred QualificationsExperience with underwater acoustic communications, sonar systems, or visible light / optical wireless communications.Familiarity with software-defined radio platforms adapted for acoustic or optical front-ends, FPGA development (Verilog/VHDL or HLS), or real-time embedded DSP.Experience with OFDM, spread spectrum, adaptive equalization, or other techniques for time-varying, multipath-heavy channels.Experience with link-level and system-level simulations, channel impairments, and channel modeling.Lab and field experience with hydrophones, transducers, photodetectors, oscilloscopes, signal generators, and in-water testing.Experience applying machine learning or deep learning to communications problems (e.g., learned channel estimation/equalization, neural decoders, autoencoder-based end-to-end communication, reinforcement learning for adaptive transmission).Familiarity with ML frameworks (PyTorch, TensorFlow) and deploying ML models on embedded or real-time platforms.Work AuthorizationDue to the nature of our current projects, candidates must be U.S. citizens or U.S. permanent residents (green card holders).","company":"Hydronet","rawCompany":"hydronet","city":"Burlington","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-05-11T22:41:42.924Z","occupations":[{"code":"15-1241.01","title":"Telecommunications Engineering Specialists","slug":"telecommunications-engineering-specialists"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"},{"code":"17-2051.02","title":"Water/Wastewater Engineers","slug":"water-wastewater-engineers"}],"industries":[{"code":"334220","title":"Radio and Television Broadcasting and Wireless Communications Equipment Manufacturing","slug":"radio-and-television-broadcasting-and-wireless-communications-equipment-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"334511","title":"Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing","slug":"search-detection-navigation-guidance-aeronautical-and-nautical-system-and-instrument-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Wireless Systems Engineer","description":"About HydronetHydronet is a deep-tech startup building next-generation, AI-powered, and software-defined underwater sensing, communication, networking, and analytics technology. We are on a mission to revolutionize connected underwater intelligence.The RoleWe are hiring a Wireless Systems Engineer to drive physical-layer algorithm development and prototyping for our core platform. You'll design, simulate, implement, and validate wireless communication algorithms — and see them through to working hardware, from early prototypes to deployed products. This is a hands-on role with significant technical ownership in a startup environment, working closely with system architects, software and hardware engineers, and product leadership.ResponsibilitiesDesign, simulate, implement, and validate communication algorithms — including modern AI/ML-driven approaches — and see them through the full lifecycle, from prototype to product.Build simulation models (e.g., MATLAB, Python, C/C++) to validate algorithm performance under realistic channel and impairment conditions, and to support design trade-offs for production systems.Implement, optimize, and harden algorithms on target platforms (FPGAs, SoCs, SDRs, or DSPs), taking them from early prototypes through to deployable, product-grade implementations.Conduct lab, tank, and in-water field testing over real underwater channels; characterize system performance, validate against product requirements, and iterate based on measured results.Collaborate cross-functionally on system architecture, transducer/optical front-end integration, and product requirements to ensure algorithms meet performance, reliability, and manufacturability targets.Document designs, test results, and trade-off analyses to support team alignment, product release readiness, and IP development.QualificationsCandidates should meet one of the following profiles:PhD in Electrical Engineering, Wireless Communications, Signal Processing, or a closely related field, with demonstrated experience in physical-layer algorithm development, implementation, and prototyping; ORMaster's degree in a related field, combined with 3–4 years of industry experience in product-level development of communication systems, with a proven track record taking physical-layer designs from concept through implementation.In addition, all candidates should have:Strong foundation in digital signal processing, communication theory, and physical-layer system design.Hands-on experience with simulation tools and at least one prototyping platform (FPGA, SDR, or embedded DSP).Comfort operating in a startup environment — adaptable, self-directed, and able to navigate ambiguity.Preferred QualificationsExperience with underwater acoustic communications, sonar systems, or visible light / optical wireless communications.Familiarity with software-defined radio platforms adapted for acoustic or optical front-ends, FPGA development (Verilog/VHDL or HLS), or real-time embedded DSP.Experience with OFDM, spread spectrum, adaptive equalization, or other techniques for time-varying, multipath-heavy channels.Experience with link-level and system-level simulations, channel impairments, and channel modeling.Lab and field experience with hydrophones, transducers, photodetectors, oscilloscopes, signal generators, and in-water testing.Experience applying machine learning or deep learning to communications problems (e.g., learned channel estimation/equalization, neural decoders, autoencoder-based end-to-end communication, reinforcement learning for adaptive transmission).Familiarity with ML frameworks (PyTorch, TensorFlow) and deploying ML models on embedded or real-time platforms.Work AuthorizationDue to the nature of our current projects, candidates must be U.S. citizens or U.S. permanent residents (green card holders).","datePosted":"2026-05-11T22:41:42.924Z","dateModified":"2026-05-11T22:41:42.924Z","hiringOrganization":{"@type":"Organization","name":"Hydronet","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Burlington","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eab5ca7ed2278e5fde9e43a8"},"url":"https://jobsearcher.com/jobs/eab5ca7ed2278e5fde9e43a8"}}