AI Systems Engineer Jobs
AI Systems Engineer jobs are open across technology, defense, healthcare, and financial services, from new-grad to principal and staff levels, with specializations in machine learning infrastructure, model deployment, and distributed AI systems. 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 .
AI Systems Engineer Jobs by Experience Level
See All 647+ AI Systems Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Systems Engineer JobsAI Systems Engineer Job Market
Who's Hiring
- Booz Allen Hamilton20
- Meta18
- JPMorganChase14
- EY12
- AMD11
Top Industries Hiring
- Technology & Software22
- Education11
- Banking & Financial Services10
- Science & Research8
- Accounting & Auditing6
What Employers Look For
The qualifications that appear most often in AI systems engineer jobs.
- Bachelor's or master's degree in computer science, software engineering, or a related field
- Proficiency in Python and at least one systems language such as C++ or Go
- Hands-on experience with model deployment frameworks including TensorFlow Serving, TorchServe, or Triton
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes
- Experience designing and maintaining ML pipelines in cloud environments such as AWS, GCP, or Azure
- Understanding of distributed systems principles including fault tolerance, load balancing, and data consistency
Tips for Your AI Systems Engineer Job Search
Tailor your resume to deployment depth
AI Systems Engineer job descriptions often distinguish between research-adjacent roles and production-focused ones. Highlight end-to-end ownership: model serving, latency optimization, and reliability metrics carry more weight here than training accuracy alone.
Demonstrate MLOps toolchain fluency
Hiring teams expect hands-on experience with orchestration tools like Kubeflow, Airflow, or Ray. Name the specific pipelines you built or maintained, the scale they operated at, and any failure modes you resolved to show real production context.
Apply early to roles that fit
Migrate Mate lists ai systems engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job titles that map to your stack
The role appears under multiple titles: ML Platform Engineer, AI Infrastructure Engineer, and Applied AI Engineer all describe overlapping work. Search each variant to surface openings that might not appear under a single title search.
Prepare a system design answer for inference
Most technical screens for this role include a design question around serving a model at scale. Practice walking through latency budgets, batching strategies, hardware selection, and monitoring before your first interview, not during it.
Negotiate scope alongside compensation
AI Systems Engineers often have leverage on team structure and tooling ownership. During offer conversations, clarify which infrastructure decisions you will own versus inherit, since that directly shapes how much you can build versus maintain.
AI Systems Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai systems engineers?
Booz Allen Hamilton, Meta, and JPMorganChase are hiring the most ai systems engineers right now, with openings concentrated in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially high at companies scaling inference infrastructure or building internal AI platforms.
How many ai systems engineer jobs are remote?
About 61% of ai systems engineer openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed engineering talent. Roles focused on cloud infrastructure, ML pipeline development, and model monitoring tend to be the most remote-friendly, while positions tied to on-premise hardware or sensitive data environments are more likely to require on-site presence.
How do you become an ai systems engineer?
Start with a strong foundation in software engineering, then build practical experience with machine learning frameworks and cloud infrastructure. Work on end-to-end projects that move a model from training into a production serving environment. Gaining experience with containerization, monitoring, and reliability engineering sets you apart from candidates with only research backgrounds.
How do you get hired as an ai systems engineer with little experience?
Build a portfolio of deployed projects, even personal ones, that demonstrate you can serve a model reliably under realistic constraints. Contributing to open-source ML infrastructure projects shows production awareness that coursework alone does not. Roles titled ML Platform Engineer or AI Infrastructure Engineer at smaller companies often accept candidates with less experience than larger organizations require.
What does the ai systems engineer interview process look like?
Expect a recruiter screen followed by a technical phone interview covering systems design and Python fundamentals. Later rounds typically include a live coding session focused on data structures or distributed systems, a system design exercise around model serving or pipeline architecture, and a final round with cross-functional partners or engineering leadership. Some companies add a take-home infrastructure design component.
Where can I find and apply to ai systems engineer jobs?
You can find and apply to ai systems engineer jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your specialization and experience level, then apply directly to each listing that fits your background and goals.
See All 647+ AI Systems Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Systems Engineer Jobs