{"id":2188960,"url":"https://alion.io/job/delaware-art-museum-research-scientist-wireless-sensing","title":"Research Scientist Wireless Sensing","company":{"id":1862560,"name":"Delaware Art Museum","domain":"delart.org","url":"https://alion.io/company/delart-org","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":14,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Deep Learning Toolbox","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-10-09T15:47:48Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-19T16:04:05Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"About the job\nDelart is home to a team of world-class engineers and project leaders dedicated to developing the next generation of advanced networking technologies, consumer devices, and innovative technology solutions. Trusted by some of the world’s leading technology companies, we deliver highly scalable, mission-critical solutions that power both consumer and business applications globally. Since our founding in 2017, we have been at the forefront of designing cutting-edge networking, telecommunications, and consumer products, while driving end-to-end project execution and creating transformative technology applications.\nOverview\nJoin a pioneering team driving advancements in wireless sensing technologies for augmented reality (AR), wearable devices, and robotics. As a research scientist, you will design, develop, and prototype innovative hardware and software systems that help define the next generation of perception capabilities in smart devices, with a direct impact on real-world products and research directions.\nResponsibilities\nResearch, prototyping, and development of novel wireless sensing systems for AR, wearable, and robotic applications.\nDesign and implement hardware platforms and supporting software infrastructure to accelerate experimental research and technology validation.\nDevelop demonstrable prototypes showcasing wireless perception and sensing algorithms, and communicate outcomes effectively to technical and non-technical stakeholders.\nCollaborate cross-functionally with product, hardware, and research teams to turn exploratory concepts into actionable deliverables.\nPublish research findings and contribute to the broader scientific and engineering community as appropriate.\nMinimum Qualifications\nBachelor’s degree in Electrical Engineering, Physics, Computer Science, or a related technical field.\n3+ years of research experience in one or more of the following domains:Radio-frequency systems (e.g., wireless communication, radar, software-defined radios)\nSignal processing and machine learning (e.g., DSP, wireless perception algorithms)\n\nProficient in Python, MATLAB, C++, or a similar programming language.\nExperience with at least one major machine learning framework (e.g., PyTorch, TensorFlow, Keras, MATLAB Deep Learning Toolbox).\nDemonstrated ability to collaborate across teams and disciplines, including cross-cultural and cross-functional environments.\nPreferred Qualifications\nMaster’s or PhD in Electrical Engineering, Physics, Computer Science, or a closely related field.\nDeep expertise in signal processing, data analysis, or advanced machine learning model development, especially as applied to radar, lidar, or similar sensing modalities.\nHands-on experience developing research platforms or electronics for high-frequency sensing applications.\nProven track record communicating complex technical work clearly to both specialist and general audiences.\nPublication record in top conferences or journals in wireless sensing, signal processing, or machine learning.\nCA Base Pay\n$125,000—$170,000 USD\nBenefits\nDelart provides competitive benefits and compensation across all regions where we operate. In the United States, our benefits package includes premium PPO and HMO medical insurance, dental and vision coverage, flexible spending accounts (FSA), life insurance, short- and long-term disability insurance, a company-matched 401(k) plan, and a generous paid time off policy.\nJoin us in shaping the future of technology. Apply today!\nDelart is an equal opportunity employer. We celebrate diversity and are dedicated to fostering an inclusive workplace for all employees. 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