{"id":4205036,"url":"https://alion.io/job/qualcomm-staff-engineer-embedded-sensor-systems-physical-ai","title":"Staff Engineer, Embedded Sensor Systems & Physical AI","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":69,"open_postings":1007,"ghost_share":0.259,"stale_share":0.144,"repost_share":0.455,"time_to_fill_p50_days":74,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145600,"max":218400,"currency":"USD","period":"year","gross":null,"usd_annual":218400},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"C++","optional":true},{"name":"Edge AI","optional":true},{"name":"Isaac Sim","optional":true},{"name":"Linux","optional":true},{"name":"MATLAB","optional":true},{"name":"MoveIt","optional":true},{"name":"MuJoCo","optional":true},{"name":"Python","optional":true},{"name":"Rest-Assured","optional":true},{"name":"ROS","optional":true},{"name":"RTOS","optional":true},{"name":"Sensor Fusion","optional":true},{"name":"Simulink","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T23:19:29Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Company:\nQualcomm Technologies, Inc.Job Area:\nEngineering Group, Engineering Group > ASICS EngineeringGeneral Summary:\nWe are seeking a Staff Engineer, Embedded Sensor Systems & Physical AI to develop next-generation sensing technologies for Robotics, XR, mobile, & IEIoT,I applications.\nThis is a hands-on sensor systems engineering role at the intersection of sensor hardware, embedded electronics, firmware, signal processing, characterization, and system integration. The ideal candidate can take a sensing concept from early evaluation through prototype development, characterization, embedded integration, and system demonstration.\nYou will work with technologies such as tactile, force, pressure, proximity, motion, environmental, and multimodal sensing, integrating sensors with embedded compute platforms and intelligent perception/control systems.\nYou will collaborate across robotics, XR, AI/ML, silicon, embedded software, and systems teams on applications including dexterous manipulation, tactile perception, force control, HMI, multimodal perception, and contextual awareness.\nWe value technical depth, hands-on experimentation, system thinking, and the ability to turn emerging sensor technologies into robust working prototypes.\nKey Responsibilities\nLead the architecture, development, and validation of advanced sensor systems for robotics, XR, mobile, IoT, and Physical AI applications.\nDesign and build embedded sensing platforms for sensor bring-up, data acquisition, real-time processing, characterization, control, and system validation.\nDevelop sensor characterization and calibration methodologies, including automated test infrastructure and performance metrics for noise, sensitivity, accuracy, latency, bandwidth, power, reliability, drift, and robustness. Create or partner for hardware prototypes and evaluation systems, including sensor boards, embedded platforms, sensor fixtures, test setups, and data collection infrastructure. \nDevelop and debug hardware, firmware, and low-level software spanning sensors, analog/digital interfaces, MCUs/SoCs/DSPs/FPGAs, communication interfaces, and embedded processing.\nArchitect and evaluate multimodal sensing and sensor-fusion solutions combining modalities such as tactile, force, proximity, motion, vision, audio, and environmental sensing.\nCollaborate with robotics, controls, AI/ML, silicon, software, and systems teams to integrate sensing with perception, actuation, manipulation, HMI, and intelligent interaction.\nProvide technical leadership for emerging sensing technologies, working with internal teams, suppliers, research partners, and universities to evaluate technologies, build prototypes, define roadmaps, and generate IP.\nMinimum Qualifications:\n• Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.OR\nMaster's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.\nOR\nPhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.\nPreferred Qualifications\nDemonstrated hands-on experience developing sensor systems, embedded hardware, or sensor-based platforms.\nStrong understanding of sensor signal chains, characterization, calibration, noise, data acquisition, and system integration.\nExperience developing embedded firmware/software using C/C++ and/or Python, and integrating sensors with MCU, SoC, DSP, FPGA, or similar platforms.\nHands-on experience designing and debugging PCBs, sensor modules, embedded platforms, laboratory instrumentation, and system-level prototypes.\nDemonstrated ability to solve open-ended engineering problems and drive solutions across hardware, firmware, software, algorithms, and systems teams.\nAbility to work effectively on open-ended technical problems, define requirements, make trade-offs, and drive solutions across hardware, software, firmware, and systems teams.\nStrong communication skills and ability to collaborate across multidisciplinary engineering organizations.\nExperience in one or more of the following areas is preferred. Candidates willing to expand horizon are preferred.\nExperience developing HMI and advanced sensing systems for touch, gesture, proximity, wearables, XR, smart devices, robotic interfaces, or ambient/contextual sensing applications.\nExperience with one or more sensor technologies, such as tactile, capacitive, resistive, piezoelectric/piezoresistive, optical, magnetic, ultrasonic, MEMS, force/torque, pressure, proximity, inertial, or multimodal sensing.\nExperience with robotics and Physical AI applications, including robotic manipulation, dexterous hands, grasping, tactile perception, slip/contact detection, force control, impedance/compliance control, humanoid robots, or robotic end effectors.\nExperience developing sensor characterization, calibration, and automated test systems, including data acquisition, laboratory instrumentation, Python-based automation, MATLAB, Jupyter, or similar tools.\nExperience with sensor fusion, signal processing, or embedded intelligence, including multimodal sensor fusion, event detection, anomaly detection, TinyML, Edge AI, or embedded inference.\nExperience integrating sensing with embedded compute platforms, including ARM or RISC-V MCUs, DSPs, FPGAs, embedded Linux, RTOS, or heterogeneous SoCs.\nExperience with sensor ASICs, analog/mixed-signal ICs, MEMS devices, custom silicon, sensor interfaces, sensor packaging, or hardware-software co-design.\nFamiliarity with robotics software and simulation environments, such as ROS 2, Isaac Sim, MuJoCo, MoveIt, MATLAB/Simulink, or similar platforms.\nExperience working across sensor hardware, firmware, signal processing, controls, robotics, and AI/ML teams to develop and integrate complete sensing solutions.\n· Demonstrated technical leadership and innovation through product contributions, system architecture ownership, prototypes, technology demonstrations, patents, publications, or invention disclosures.\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\nEEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nPay rangeand Other Compensation & Benefits :\n$145,600.00 - $218,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.\nIf you would like more information about this role, please contact Qualcomm Careers.","description_format":"text","description_chars":8966,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Autonomous Driving","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-11-12T23:19:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1,115 · green card filings: 76","filings_12m":1115,"filings_prev_12m":2000,"green_card_filings_12m":76,"median_offered_wage_usd":150938,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":620}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":7,"expected_fill_days":74,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-13T00:44:46Z"},"pay":{"stated_usd_annual":218400,"is_top_pay":false},"html_url":"https://alion.io/job/qualcomm-staff-engineer-embedded-sensor-systems-physical-ai","json_url":"https://alion.io/job/qualcomm-staff-engineer-embedded-sensor-systems-physical-ai.json","meta":{"generated_at":"2026-11-13T00:44:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1673,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":94},"rest":"https://alion.io/mcp/rest/get_company?id=94"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualcomm-staff-engineer-embedded-sensor-systems-physical-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fqualcomm-staff-engineer-embedded-sensor-systems-physical-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fqualcomm-staff-engineer-embedded-sensor-systems-physical-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/qualcomm-staff-engineer-embedded-sensor-systems-physical-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-staff-engineer-embedded-sensor-systems-physical-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4205036}},{"tool":"search_jobs","arguments":{"company":"qualcomm.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4205036},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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