{"schemaVersion":"jobsearcher.job.v1","id":"d2ea93cfbac854e540ed8e75","url":"https://jobsearcher.com/jobs/d2ea93cfbac854e540ed8e75","canonicalUrl":"https://jobsearcher.com/jobs/d2ea93cfbac854e540ed8e75","title":"Senior Digital Signal Processing Engineer","description":"Senior Digital Signal Processing Engineer\nTurning Space into a Transportation Layer for Earth\n\nWho We Are:\nInversion builds advanced reentry systems to deliver next‑generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low‑Earth Orbit into an on‑demand logistics domain. We see space not as a destination, but as a platform—one that unlocks unprecedented speed and global reach.\n\nOur spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual‑use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including YCombinator, Spark Capital, and LockheedMartinVentures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space‑based defense and logistics.\n\nWhat You’ll Do:\nAs a Senior Digital Signal Processing Engineer, you will lead the development, implementation, and validation of real‑time digital signal processing algorithms supporting Inversion’s next‑generation re‑entry vehicles. You will work within the Avionics team to develop DSP solutions for communications, telemetry, sensing, and RF‑adjacent applications across both flight and ground systems. This role is ideal for an experienced engineer who can translate complex signal environments and system requirements into robust algorithms, simulation tools, and deployable implementations across software, FPGA, GPU, or embedded hardware platforms. You will help develop critical hardware and systems for cutting‑edge maneuverable reentry vehicles—advancing one of the most capable reentry vehicle platforms ever developed.\n\nYou will be a key member of the Avionics team, reporting directly to the Director of Engineering, Avionics. Our engineers are responsible for the complete lifecycle of the systems they create, including concept development, modeling, implementation, integration, test, and operational support.\n\nEssential Duties and Responsibilities:\n\nDevelop and implement real‑time digital signal processing techniques and algorithms for communications, telemetry, and RF/sensor processing applications.\n\nDesign, prototype, and validate algorithms for detection, classification, demodulation, tracking, estimation, and signal characterization.\n\nPerform modeling and simulation of communications and dynamic signal environments to support algorithm development and system performance assessment.\n\nDevelop waveform generation, signal analysis, and processing pipelines for modulated signals such as QPSK, BPSK, OFDM, and related schemes.\n\nOptimize processing algorithms for speed, memory use, latency, and power consumption on target hardware platforms.\n\nSupport architecture trades between software, FPGA, GPU, and embedded processor implementations.\n\nWork closely with RF, FPGA, software, and systems engineers to define processing requirements, interfaces, and performance metrics.\n\nDevelop test datasets, analysis tools, and performance evaluation methods for algorithm assessment and validation.\n\nSupport integration, debug, and test of DSP algorithms in prototype and deployed hardware systems.\n\nDocument algorithm design, assumptions, simulation results, validation results, and implementation guidance.\n\nRequired Qualifications:\n\nBachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, Applied Mathematics, or a related technical field with a DSP / RF / communications focus.\n\nTypically 5+ years of professional experience developing DSP algorithms for communications, telemetry, radar, sensor processing, or related real‑time signal processing applications.\n\nAbility to obtain and maintain a U.S. security clearance up to Top Secret.\n\nStrong experience with digital signal processing algorithm development for real‑world applications.\n\nExperience with waveform construction and analysis, including modulation schemes such as QPSK, BPSK, OFDM, or similar.\n\nBackground in spectral estimation, detection theory, estimation theory, statistical signal processing, and related analytical methods.\n\nProficiency with MATLAB, Python, C/C++, or similar tools for modeling, simulation, analysis, and implementation of signal processing algorithms.\n\nUnderstanding of real‑time signal processing constraints and hardware implementation tradeoffs.\n\nFamiliarity with communications, radar, EW, and/or sensor processing techniques.\n\nExperience with filtering, channelization, FFT‑based processing, demodulation, synchronization, tracking, and feature extraction.\n\nExperience translating algorithms to FPGA, GPU, or embedded processor platforms.\n\nAbility to evaluate algorithm performance in noisy, contested, or dynamic signal environments.\n\nStrong written and verbal communication skills, with the ability to explain algorithm performance and tradeoffs clearly to multidisciplinary teams.\n\nDesired Qualifications:\n\nExperience supporting telemetry, RF communications, or SDR‑based systems.\n\nFamiliarity with link‑level and system‑level performance modeling for communications or sensing applications.\n\nExperience with hardware‑in‑the‑loop testing, recorded signal playback, or closed‑loop real‑time validation.\n\nExperience working closely with FPGA teams to define fixed‑point implementations, resource tradeoffs, and verification strategies.\n\nFamiliarity with aerospace environmental and operational constraints for deployed flight hardware.\n\nKnowledge of communications standards, signal integrity considerations, and practical RF/DSP integration challenges.\n\nExperience building internal tools for algorithm evaluation, dataset generation, visualization, and automated regression testing.\n\nFamiliarity with aerospace and defense development or test standards such as MIL‑STD‑810/461, DO‑160, SMC‑S‑016, or similar frameworks.\n\nExperience in startup environments or small, highly collaborative engineering teams.\n\nStaff‑Level Consideration\nWe are also open to considering exceptional candidates for a Staff DSP Engineer level. Staff‑level candidates should possess all of the qualifications listed above, in addition to 8+ years of professional experience with demonstrated technical leadership in DSP architecture, algorithm development, and deployed system integration. The Staff‑level compensation range is $161,000-$221,000.\n\nThe California annual base salary for this role is currently $137,000-$193,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case‑by‑case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job‑related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.\n\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\n\nInversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability.\n\n#J-18808-Ljbffr","company":"Inversion","rawCompany":"inversion","city":"Hawthorne","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-21T03:19:16.649Z","occupations":[{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"},{"code":"17-2011.00","title":"Aerospace Engineers","slug":"aerospace-engineers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"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"},{"code":"927110","title":"Space Research and Technology","slug":"space-research-and-technology"},{"code":"336414","title":"Guided Missile and Space Vehicle Manufacturing","slug":"guided-missile-and-space-vehicle-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Digital Signal Processing Engineer","description":"Senior Digital Signal Processing Engineer\nTurning Space into a Transportation Layer for Earth\n\nWho We Are:\nInversion builds advanced reentry systems to deliver next‑generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low‑Earth Orbit into an on‑demand logistics domain. We see space not as a destination, but as a platform—one that unlocks unprecedented speed and global reach.\n\nOur spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual‑use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including YCombinator, Spark Capital, and LockheedMartinVentures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space‑based defense and logistics.\n\nWhat You’ll Do:\nAs a Senior Digital Signal Processing Engineer, you will lead the development, implementation, and validation of real‑time digital signal processing algorithms supporting Inversion’s next‑generation re‑entry vehicles. You will work within the Avionics team to develop DSP solutions for communications, telemetry, sensing, and RF‑adjacent applications across both flight and ground systems. This role is ideal for an experienced engineer who can translate complex signal environments and system requirements into robust algorithms, simulation tools, and deployable implementations across software, FPGA, GPU, or embedded hardware platforms. You will help develop critical hardware and systems for cutting‑edge maneuverable reentry vehicles—advancing one of the most capable reentry vehicle platforms ever developed.\n\nYou will be a key member of the Avionics team, reporting directly to the Director of Engineering, Avionics. Our engineers are responsible for the complete lifecycle of the systems they create, including concept development, modeling, implementation, integration, test, and operational support.\n\nEssential Duties and Responsibilities:\n\nDevelop and implement real‑time digital signal processing techniques and algorithms for communications, telemetry, and RF/sensor processing applications.\n\nDesign, prototype, and validate algorithms for detection, classification, demodulation, tracking, estimation, and signal characterization.\n\nPerform modeling and simulation of communications and dynamic signal environments to support algorithm development and system performance assessment.\n\nDevelop waveform generation, signal analysis, and processing pipelines for modulated signals such as QPSK, BPSK, OFDM, and related schemes.\n\nOptimize processing algorithms for speed, memory use, latency, and power consumption on target hardware platforms.\n\nSupport architecture trades between software, FPGA, GPU, and embedded processor implementations.\n\nWork closely with RF, FPGA, software, and systems engineers to define processing requirements, interfaces, and performance metrics.\n\nDevelop test datasets, analysis tools, and performance evaluation methods for algorithm assessment and validation.\n\nSupport integration, debug, and test of DSP algorithms in prototype and deployed hardware systems.\n\nDocument algorithm design, assumptions, simulation results, validation results, and implementation guidance.\n\nRequired Qualifications:\n\nBachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, Applied Mathematics, or a related technical field with a DSP / RF / communications focus.\n\nTypically 5+ years of professional experience developing DSP algorithms for communications, telemetry, radar, sensor processing, or related real‑time signal processing applications.\n\nAbility to obtain and maintain a U.S. security clearance up to Top Secret.\n\nStrong experience with digital signal processing algorithm development for real‑world applications.\n\nExperience with waveform construction and analysis, including modulation schemes such as QPSK, BPSK, OFDM, or similar.\n\nBackground in spectral estimation, detection theory, estimation theory, statistical signal processing, and related analytical methods.\n\nProficiency with MATLAB, Python, C/C++, or similar tools for modeling, simulation, analysis, and implementation of signal processing algorithms.\n\nUnderstanding of real‑time signal processing constraints and hardware implementation tradeoffs.\n\nFamiliarity with communications, radar, EW, and/or sensor processing techniques.\n\nExperience with filtering, channelization, FFT‑based processing, demodulation, synchronization, tracking, and feature extraction.\n\nExperience translating algorithms to FPGA, GPU, or embedded processor platforms.\n\nAbility to evaluate algorithm performance in noisy, contested, or dynamic signal environments.\n\nStrong written and verbal communication skills, with the ability to explain algorithm performance and tradeoffs clearly to multidisciplinary teams.\n\nDesired Qualifications:\n\nExperience supporting telemetry, RF communications, or SDR‑based systems.\n\nFamiliarity with link‑level and system‑level performance modeling for communications or sensing applications.\n\nExperience with hardware‑in‑the‑loop testing, recorded signal playback, or closed‑loop real‑time validation.\n\nExperience working closely with FPGA teams to define fixed‑point implementations, resource tradeoffs, and verification strategies.\n\nFamiliarity with aerospace environmental and operational constraints for deployed flight hardware.\n\nKnowledge of communications standards, signal integrity considerations, and practical RF/DSP integration challenges.\n\nExperience building internal tools for algorithm evaluation, dataset generation, visualization, and automated regression testing.\n\nFamiliarity with aerospace and defense development or test standards such as MIL‑STD‑810/461, DO‑160, SMC‑S‑016, or similar frameworks.\n\nExperience in startup environments or small, highly collaborative engineering teams.\n\nStaff‑Level Consideration\nWe are also open to considering exceptional candidates for a Staff DSP Engineer level. Staff‑level candidates should possess all of the qualifications listed above, in addition to 8+ years of professional experience with demonstrated technical leadership in DSP architecture, algorithm development, and deployed system integration. The Staff‑level compensation range is $161,000-$221,000.\n\nThe California annual base salary for this role is currently $137,000-$193,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case‑by‑case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job‑related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.\n\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\n\nInversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability.\n\n#J-18808-Ljbffr","datePosted":"2026-07-21T03:19:16.649Z","dateModified":"2026-07-21T03:19:16.649Z","hiringOrganization":{"@type":"Organization","name":"Inversion","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hawthorne","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d2ea93cfbac854e540ed8e75"},"url":"https://jobsearcher.com/jobs/d2ea93cfbac854e540ed8e75"}}