Staff AI Engineer Jobs
Staff AI Engineer jobs are open across technology, finance, healthcare, and enterprise software, at every level from senior engineer to distinguished engineer, with specializations in foundation model development, ML platform engineering, and applied AI research. Scan the live roles below and apply to whichever ones fit.
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Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > ASICS EngineeringGeneral Summary:
We are seeking a Staff Engineer, Embedded Sensor Systems & Physical AI to develop next-generation sensing technologies for Robotics, XR, mobile, & IEIoT,I applications.
This 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.
You 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.
You 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 .
We value technical depth, hands-on experimentation, system thinking, and the ability to turn emerging sensor technologies into robust working prototypes .
Key Responsibilities
- Lead the architecture, development, and validation of advanced sensor systems for robotics, XR, mobile, IoT, and Physical AI applications.
- Design and build embedded sensing platforms for sensor bring-up, data acquisition, real-time processing, characterization, control, and system validation.
- Develop 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.
- Develop and debug hardware, firmware, and low-level software spanning sensors, analog/digital interfaces, MCUs/SoCs/DSPs/FPGAs, communication interfaces, and embedded processing.
- Architect and evaluate multimodal sensing and sensor-fusion solutions combining modalities such as tactile, force, proximity, motion, vision, audio, and environmental sensing.
- Collaborate with robotics, controls, AI/ML, silicon, software, and systems teams to integrate sensing with perception, actuation, manipulation, HMI, and intelligent interaction.
- Provide 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.
Minimum Qualifications:
- Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
Preferred Qualifications
- Demonstrated hands-on experience developing sensor systems, embedded hardware, or sensor-based platforms .
- Strong understanding of sensor signal chains, characterization, calibration, noise, data acquisition, and system integration .
- Experience developing embedded firmware/software using C/C++ and/or Python , and integrating sensors with MCU, SoC, DSP, FPGA, or similar platforms.
- Hands-on experience designing and debugging PCBs, sensor modules, embedded platforms, laboratory instrumentation, and system-level prototypes .
- Demonstrated ability to solve open-ended engineering problems and drive solutions across hardware, firmware, software, algorithms, and systems teams.
- Ability to work effectively on open-ended technical problems , define requirements, make trade-offs, and drive solutions across hardware, software, firmware, and systems teams.
- Strong communication skills and ability to collaborate across multidisciplinary engineering organizations.
Experience in one or more of the following areas is preferred. Candidates willing to expand horizon are preferred.
- Experience developing HMI and advanced sensing systems for touch, gesture, proximity, wearables, XR, smart devices, robotic interfaces, or ambient/contextual sensing applications.
- Experience 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.
- Experience 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.
- Experience developing sensor characterization, calibration, and automated test systems , including data acquisition, laboratory instrumentation, Python-based automation, MATLAB, Jupyter, or similar tools.
- Experience with sensor fusion, signal processing, or embedded intelligence , including multimodal sensor fusion, event detection, anomaly detection, TinyML, Edge AI, or embedded inference.
- Experience integrating sensing with embedded compute platforms , including ARM or RISC-V MCUs, DSPs, FPGAs, embedded Linux, RTOS, or heterogeneous SoCs.
- Experience with sensor ASICs, analog/mixed-signal ICs, MEMS devices, custom silicon, sensor interfaces, sensor packaging, or hardware-software co-design .
- Familiarity with robotics software and simulation environments , such as ROS 2, Isaac Sim, MuJoCo, MoveIt, MATLAB/Simulink, or similar platforms.
- Experience working across sensor hardware, firmware, signal processing, controls, robotics, and AI/ML teams to develop and integrate complete sensing solutions.
- Demonstrated technical leadership and innovation through product contributions, system architecture ownership, prototypes, technology demonstrations, patents, publications, or invention disclosures.
Qualcomm 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 disability-accomodations@qualcomm.com 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).
To 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.
EEO 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.
Qualcomm 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.
Pay range and Other Compensation & Benefits :
$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 .
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > ASICS EngineeringGeneral Summary:
We are seeking a Staff Engineer, Embedded Sensor Systems & Physical AI to develop next-generation sensing technologies for Robotics, XR, mobile, & IEIoT,I applications.
This 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.
You 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.
You 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 .
We value technical depth, hands-on experimentation, system thinking, and the ability to turn emerging sensor technologies into robust working prototypes .
Key Responsibilities
- Lead the architecture, development, and validation of advanced sensor systems for robotics, XR, mobile, IoT, and Physical AI applications.
- Design and build embedded sensing platforms for sensor bring-up, data acquisition, real-time processing, characterization, control, and system validation.
- Develop 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.
- Develop and debug hardware, firmware, and low-level software spanning sensors, analog/digital interfaces, MCUs/SoCs/DSPs/FPGAs, communication interfaces, and embedded processing.
- Architect and evaluate multimodal sensing and sensor-fusion solutions combining modalities such as tactile, force, proximity, motion, vision, audio, and environmental sensing.
- Collaborate with robotics, controls, AI/ML, silicon, software, and systems teams to integrate sensing with perception, actuation, manipulation, HMI, and intelligent interaction.
- Provide 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.
Minimum Qualifications:
- Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
Preferred Qualifications
- Demonstrated hands-on experience developing sensor systems, embedded hardware, or sensor-based platforms .
- Strong understanding of sensor signal chains, characterization, calibration, noise, data acquisition, and system integration .
- Experience developing embedded firmware/software using C/C++ and/or Python , and integrating sensors with MCU, SoC, DSP, FPGA, or similar platforms.
- Hands-on experience designing and debugging PCBs, sensor modules, embedded platforms, laboratory instrumentation, and system-level prototypes .
- Demonstrated ability to solve open-ended engineering problems and drive solutions across hardware, firmware, software, algorithms, and systems teams.
- Ability to work effectively on open-ended technical problems , define requirements, make trade-offs, and drive solutions across hardware, software, firmware, and systems teams.
- Strong communication skills and ability to collaborate across multidisciplinary engineering organizations.
Experience in one or more of the following areas is preferred. Candidates willing to expand horizon are preferred.
- Experience developing HMI and advanced sensing systems for touch, gesture, proximity, wearables, XR, smart devices, robotic interfaces, or ambient/contextual sensing applications.
- Experience 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.
- Experience 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.
- Experience developing sensor characterization, calibration, and automated test systems , including data acquisition, laboratory instrumentation, Python-based automation, MATLAB, Jupyter, or similar tools.
- Experience with sensor fusion, signal processing, or embedded intelligence , including multimodal sensor fusion, event detection, anomaly detection, TinyML, Edge AI, or embedded inference.
- Experience integrating sensing with embedded compute platforms , including ARM or RISC-V MCUs, DSPs, FPGAs, embedded Linux, RTOS, or heterogeneous SoCs.
- Experience with sensor ASICs, analog/mixed-signal ICs, MEMS devices, custom silicon, sensor interfaces, sensor packaging, or hardware-software co-design .
- Familiarity with robotics software and simulation environments , such as ROS 2, Isaac Sim, MuJoCo, MoveIt, MATLAB/Simulink, or similar platforms.
- Experience working across sensor hardware, firmware, signal processing, controls, robotics, and AI/ML teams to develop and integrate complete sensing solutions.
- Demonstrated technical leadership and innovation through product contributions, system architecture ownership, prototypes, technology demonstrations, patents, publications, or invention disclosures.
Qualcomm 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 disability-accomodations@qualcomm.com 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).
To 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.
EEO 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.
Qualcomm 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.
Pay range and Other Compensation & Benefits :
$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 .
If you would like more information about this role, please contact Qualcomm Careers .
Staff AI Engineer Jobs by Experience Level
See All 909+ Staff AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Staff AI Engineer JobsStaff AI Engineer Job Market
Who's Hiring
- Google39
- ServiceNow38
- Intuit34
- Booz Allen Hamilton20
- Qualcomm15
Top Industries Hiring
- Technology & Software79
- Insurance14
- Banking & Financial Services14
- Education9
- Fintech7
What Employers Look For
The qualifications that appear most often in staff AI engineer jobs.
- 7 or more years of experience in machine learning or AI engineering roles
- Deep expertise in large language models, transformer architectures, or foundation model training
- Proficiency in Python and ML frameworks such as PyTorch or JAX
- Experience designing and operating production ML platforms or model serving infrastructure
- Demonstrated ability to lead technical roadmaps and mentor senior engineers
- Experience with distributed training, GPU cluster management, or inference optimization at scale
Tips for Your Staff AI Engineer Job Search
Quantify your model impact concretely
Staff-level AI roles expect you to show business outcomes, not just model metrics. Replace 'improved model accuracy' with the latency reduction, cost savings, or revenue lift your work produced. Reviewers at this level read past benchmark numbers fast.
Signal technical leadership in your resume
Staff AI engineers are expected to drive technical direction, not just execute it. Your resume should name the cross-functional projects you scoped, the junior engineers you mentored, and the architectural decisions you owned, not only the models you shipped.
Target companies by their AI maturity stage
A company building its first ML platform needs a different staff engineer than one scaling a deployed foundation model. Read the job description for signals like 'greenfield', 'platform from scratch', or 'production at scale' and tailor your application to that exact stage.
Apply early to roles that fit
Migrate Mate lists staff ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
Staff AI engineer interviews consistently include open-ended system design questions about training pipelines, inference infrastructure, or data quality at scale. Practice narrating trade-off decisions out loud, since interviewers want to hear how you reason, not just your final answer.
Negotiate scope and resources, not just compensation
At the staff level, your offer negotiation should include compute budget, team headcount access, and research time, not only base salary and equity. These terms define whether you can actually do the work the role promises on paper.
Staff AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most staff ai engineers?
The most active employers for staff ai engineers right now are Google, ServiceNow, and Intuit, and the most openings are in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at technology companies and large enterprises investing in proprietary AI infrastructure.
How many staff ai engineer jobs are remote?
About 67% of staff ai engineer openings are fully remote or hybrid as of November 2026, making this one of the more location-flexible roles at the staff level. ML platform engineering and applied research sub-specializations tend to have the highest share of remote-eligible postings compared to roles requiring on-site GPU infrastructure access.
How do you become a staff ai engineer?
Start by building deep expertise in one or two AI sub-domains, such as language models or recommendation systems, through production work rather than side projects. Progress from senior engineer to staff by owning multi-team technical initiatives, publishing internal design documents that influence architecture decisions, and demonstrating that your judgment consistently improves outcomes across the organization.
Can you get hired as a staff ai engineer with limited experience?
Staff AI engineer roles are defined by demonstrated impact at scope, so limited experience in industry can be offset by substantial open-source contributions to major AI frameworks, published research with citations from practitioners, or graduate research that shipped into real products. Applying to companies where your specific sub-domain matches an urgent technical need also raises your odds significantly.
What does the staff ai engineer interview process look like?
The process typically includes a recruiter screen, a technical phone interview covering ML fundamentals and system design, a take-home or live coding round focused on modeling or infrastructure, and a full day of virtual or on-site rounds. Final rounds at the staff level almost always include a presentation of a past project where you defended architectural decisions to a cross-functional panel.
Where can I find and apply to staff ai engineer jobs?
You can find and apply to staff ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your specialization and experience level, and apply directly to each listing that fits.
See All 909+ Staff AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Staff AI Engineer Jobs