Machining Engineer jobs at Qualcomm - 212 jobs

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong Python and C/C++ design and implementation skills. Knowledge of deep learning and ML frameworks (i.e. PyTorch). Strong software design skills with a focus on usability. Strong analytical, debugging and problem-solving skills. Experience in Embedded Software development. At least 3 years of work experience in a relevant field. Preferred extra experience and skills: Excellent programming capabilities in Java. Knowledge of Generative AI (GenAI) technologies. Knowledge of Android programming is a plus. Knowledge of neural network model optimization and on-target deployment is a plus. Previous experience with Docker, Git and CI/CD. Knowledge of NPUs / ML accelerators. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. 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. 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: $140,800.00 - $211,200.00 The 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. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group - Machine Learning Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next‑generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state‑of‑the‑art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross‑functional teams to enhance the world of mobile, edge, auto, and IoT products through machine learning hardware and software. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications: Master's degree in Computer Science, Engineering, Information Systems, or related field. 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi‑media). 2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule). 2+ years experience working in a large matrixed organization. 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). Principal Duties and Responsibilities: Design, implement, and maintain software components running on DSP/NSP processors to meet product goals for latency, throughput, power, robustness, and stability on automotive platforms. Translate architecture guidance into clear module designs, APIs/IDLs, and tests; author concise design docs that enable review and execution. Profile end‑to‑end compute paths (CPU↔NSP/DSP), identify bottlenecks using SDK profilers/debuggers, and land measurable performance and power improvements. Optimize memory usage and scheduling (e.g., tightly‑coupled memory, caching strategies, thread priorities) to achieve target KPIs for real‑world workloads. Contribute to SDKs, developer tools, samples, and documentation that streamline application development and partner integrations on our AI software stack. Collaborate with Platform drivers, virtualization, power/performance, and system teams to align resource provisioning, scheduling, and reliability with feature needs. Write high‑quality, production‑ready code with defensive techniques, fault handling, diagnostics, and long‑haul stability tests suitable for automotive deployments. Engage with automotive OEMs, Tier‑1s, and ISVs to triage, reproduce, root‑cause, and resolve integration issues in owned modules; deliver patches and guidance. Participate in code/design reviews, uphold coding standards and safety/quality practices, and contribute to continuous improvement of team processes. Provide data‑driven inputs (requirements, prototypes, benchmarks) that inform next‑generation DSP/NSP software architecture and tooling. Maintain clear change logs and documentation; ensure backward compatibility, versioning discipline, and handoffs across internal/external stakeholders. Support release readiness with test coverage, automation, and performance/stability sign‑offs for the features you own. EEO Employer: 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. Pay range and Other Compensation & Benefits: Pay range and Other Compensation & Benefits: $140,800.00 - $211,200.00 The 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. To all Staffing and Recruiting Agencies: Qualcomm's 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. 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: $140,800.00 - $211,200.00 The 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. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Machine Learning Engineering General Summary: Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong Python and C/C++ design and implementation skills. Working experience with AI tools for software development. Proven hands‑on experience with bash shell scripting and Linux environments. Strong analytical, debugging and problem‑solving skills. General knowledge in ML and Gen AI. Proven hands‑on experience establishing a high‑quality software delivery process using industry best‑practices (code reviews, CI/CD, automation, etc.). Strong command of GitHub Actions and/or GitLab CI. Strong command of databases (SQL etc.). Strong team player, communicator, presenter, mentor, and teacher. Preferred Experience/Skills: Familiarity with automation frameworks (e.g., Jenkins). Previous experience with Docker/Kubernetes. Java / C# programming skills. Experience developing visualization platforms (Dashboard, UIs, etc.). Experience developing Cloud Platforms. Testing frameworks like Selenium. Experience in multi-node setups and networking. Knowledge of NPUs / ML accelerators. Preferred Qualifications: Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Machine Learning/AI and/or Systems Engineering. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of hardware, software, or systems engineering work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of hardware, software, or systems engineering work experience. 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. Upon request, reasonable accommodations will be provided to support individuals with disabilities to participate in the hiring process. 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. Pay range: $158,400.00 - $237,600.00. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. In addition to base salary, Qualcomm offers a competitive annual discretionary bonus program and RSU grants. For more information about benefits, please visit Qualcomm's US benefits page. #J-18808-Ljbffr

A leading technology company is seeking a Physical IC Design Engineer in San Jose, California. The role involves executing various physical design tasks and requires a bachelor's degree in Electrical or Electronics Engineering with over 12 years of relevant experience. Strong scripting skills and expertise in EDA tools are essential. The position offers a competitive salary range of $141,300 - $226,000 along with comprehensive benefits including health insurance, 401(K) matching and more. #J-18808-Ljbffr

A leading semiconductor company in San Jose is seeking a Physical IC Design Engineer to drive next-generation AI and ML ecosystems through PCIe Switch Products. This role requires a strong background in Physical Design, including execution of design, verification, and timing closure. The ideal candidate must have a Bachelor's degree in Electrical or Electronics Engineering and at least 8 years of experience. The position offers a competitive salary range of $120,000 to $192,000, along with comprehensive benefits. #J-18808-Ljbffr

A leading technology company in San Jose is looking for a Physical IC Design Engineer to drive next-gen AI and ML ecosystems. The role requires 8+ years of experience and a Bachelor's degree in Electrical or Electronics Engineering. Responsibilities include execution of Physical Design, Synthesis, and collaborating with IC Design engineers. This position has a salary range of $120,000 - $192,000 and offers a comprehensive benefits package including health plans, 401(K) matching, and paid leave. #J-18808-Ljbffr

A leading technology firm located in San Jose is seeking a Physical IC Design Engineer to drive innovation in Artificial Intelligence and Machine Learning through their products. This position focuses on executing the physical design and verification of chip architectures. Candidates should possess a Bachelor's degree in Electrical Engineering or Electronics Engineering and have over 8 years of relevant experience. The role offers a competitive salary ranging from $120,000 to $192,000, plus various benefits including medical and retirement plans. #J-18808-Ljbffr

A leading semiconductor company in San Jose is seeking an experienced Physical IC Design Engineer to join their Data Center Solutions Group. You will drive advancements in AI/ML ecosystems and manage data centers. The ideal candidate will have over 12 years of experience in physical design and proficiency in TCL/PERL scripting. A Bachelor's degree in Electrical or Electronics Engineering is required. This position offers a competitive salary and comprehensive benefits package, including health insurance and 401(k) matching. #J-18808-Ljbffr

A leading technology firm in San Jose is seeking a Physical Design Engineer to focus on the implementation and optimization of IC layouts for advanced technologies. The ideal candidate has extensive experience in physical layout, strong scripting skills in TCL and Python, and a solid background in electrical engineering. This role offers a competitive salary, bonus potential, and comprehensive benefits. #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Software Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As Lead Automotive SoC stability engineer, you will bring in a blend of advanced technical expertise in the Linux/QNX kernel and SoC architecture, combined with strong leadership and project management skills to oversee the stability, reliability, and performance of the Linux and QNX operating system software on Snapdragon automotive Chipsets. Key Responsibilities Ensure the stability and reliability of Snapdragon automotive platforms (IVI, ADAS) running Linux/QNX/Android Optimize the system for robustness by analyzing and tuning the kernel, drivers, middleware, and applications for specific use cases Act as the final point of escalation for stability issues identified during development, testing, and field deployment Utilize advanced debugging tools and methodologies to pinpoint the root cause of complex problems Work closely with cross-functional teams, including HW engineers, firmware developers, and application software teams, for fast incident response to critical issues Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience 4+ years of work experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications 10+ years of experience in embedded systems, automotive software, Linux/QNX/Android platform development A deep understanding of SoC architecture, including CPU cores, peripherals, trade-offs in performance vs low-power design In-depth knowledge of Linux kernel, device drivers, and advanced troubleshooting with hypervisors Strong understanding of embedded Linux build systems like Yocto Deep expertise in security features like verified boot and trusted execution environments Proven track record leading Linux/QNX product launches triaging critical system robustness issues under tight deadlines Deep understanding of Clocks, PLLs, GPIO, Interrupt Controllers (GIC), Peripherals (SPI/I2C/UART/CAN/Ethernet/Clock/etc) Excellent verbal and written communication skills to articulate complex technical issues and report on project status to both technical and executive stakeholders Ability to guide and mentor junior engineers, fostering a collaborative and high-performing team environment Equal Opportunity 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 email 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. Pay range and Other Compensation & Benefits $192,600.00 - $289,000.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. Our benefits package is designed to support your success at work, at home, and at play. Your recruiter will discuss all that Qualcomm has to offer. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, autonomous vehicles, robotics and IOT devices. Qualcomm is creating the building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Minimum Qualifications Bachelor\'s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master\'s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Responsibilities Work in a dynamic research environment, Be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. Architect, design, develop and test model optimization techniques that include - but are not limited to - graph optimization, pruning and quantization. Preferred Skills and Experience Strong Software Engineering/Development skills combined with a solid foundation in AI and general ML techniques. Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics. Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning etc. Knowledge of neural networks, with hands-on experience using ML frameworks such as PyTorch, ONNX etc. Strong Python design and implementation skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong leadership skills as a mentor, team player, communicator and presenter. Experience deploying GenAI LLM/LVM models on edge devices. Prior experience with model quantization, profiling and running models on edge devices. Prior experience with frameworks like Huggingface Optimum, ONNX runtime and OpenVino. Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) is a plus. EEO and Accessibility Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, 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 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). Pay range and Other Compensation & Benefits: $178,400.00 - $267,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and potential RSU grants. In addition, our benefits package supports success at work, at home, and at play. Your recruiter can discuss details about Qualcomm\'s 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. #J-18808-Ljbffr

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > CPU Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm CPU Engineer, you will lead innovative Central Processing Unit (CPU) design efforts that have a critical impact on industries across the world. Qualcomm Engineers collaborate with cross-functional teams to design, verify, and implement multi-core CPU operations for all Qualcomm Business Units. Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 1+ year of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field. Preferred Qualifications: • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 2+ years of work experience with high-performance microprocessor design. • 2+ years of work experience with high level programming (e.g., C, C++), scripting language programming (e.g., Perl, Python, etc.). • 2+ years of work experience with simulators and/or waveform debugging tools (e.g., Verilog, VHDL, etc.). • 2+ years of work experience with industry standard tools for synthesis place and/or route and design verification. • 2+ years of work experience with simulation, emulation, formal verification, or silicon validation. • 2+ years of experience in creating functional models, checkers, test plans, and/or test generation. • 1+ year experience working in a large matrixed organization. Principal Duties and Responsibilities: • Applies knowledge of computer architecture, micro-architecture, logic design, circuits, and/or physical design to develop and verify high performance and low power CPU designs. • Anticipates, identifies, and solves problems to ensure design completeness, functionality, power, and performance. • Collaborates across teams to define requirements, specifications, and trade-offs (e.g., performance, power, cost, functionalities, etc.) in order to accomplish product goals. • Evaluates the design process from conceptualization to productization (i.e., architecture definition, feasibility, pre-silicon design and verification, and post-silicon validation) that meet customer and industry standards. • Writes detailed technical documentation (e.g., feature descriptions, architectural descriptions, verification test plans, and implementation details, etc.) for CPU designs. Level of Responsibility: • Works independently with minimal supervision. • Decision-making may affect work beyond immediate work group. • Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. • Has a moderate amount of influence over key organizational decisions. • Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Note: We have multiple positions open at different job levels. Based on experience and background, the job level will be decided. 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-maildisability-accomodations@qualcomm.comor call Qualcomm's toll-free number foundhere. 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: $122,500.00 - $183,700.00 The 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 thislink. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > ASICS Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all. We are seeking a highly motivated and technically skilled AI Applications Engineer to help lead the development and deployment of artificial intelligence solutions aimed at improving silicon & assembly yield analysis and advanced diagnostics in semiconductor manufacturing. This role bridges the gap between advanced machine learning techniques and semiconductor test engineering, with a focus on extracting actionable insights from complex data to enhance product quality and manufacturing efficiency. Key Responsibilities AI Strategy & Development Design and implement AI/ML models to analyze silicon yield data and identify patterns, anomalies, and root causes of failures. Develop predictive models to forecast yield trends and proactively address potential issues. Apply deep learning and statistical techniques to improve scan diagnostic resolution and fault localization. Data Engineering & Analysis: Collaborate with test engineering teams to collect, clean, and structure large-scale test and yield datasets. Integrate data from ATE (Automated Test Equipment), DFT (Design for Test), and fab & assembly process logs for comprehensive analysis. Tool & Workflow Integration: Build scalable pipelines and tools that integrate AI models into existing diagnostic and yield analysis workflows. Work closely with EDA vendors and internal software teams to enhance tool capabilities with AI-driven features. Cross-Functional Collaboration: Partner with design, test, and manufacturing teams to understand challenges and translate them into AI solutions. Communicate findings and recommendations to stakeholders through clear visualizations and reports. Minimum Qualifications Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience. Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience. PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Preferred Qualifications Master's or Ph.D. in Electrical Engineering, Computer Science, Data Science, or related field. Strong coding skills in Python and experience building AI-driven applications. Hands‑on experience with GenAI concepts (LLMs, RAG, prompt engineering) and frameworks like LangChain. Solid foundation in data analytics and ability to learn semiconductor workflows quickly. Excellent communication skills in English; proven ability to lead technical initiatives. Strong understanding of semiconductor test methodologies, scan diagnostics, and yield analysis. Familiarity with DFT concepts, fault models, and EDA tools (e.g., Synopsys, Cadence). Experience with AI applications in semiconductor manufacturing or test engineering. Background in deploying AI models in production environments. Equal Opportunity Employer 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. 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. 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 $164,000.00 - $246,000.00 The 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. #J-18808-Ljbffr

Company: Qualcomm Innovation Center, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm is looking for Zephyr RTOS developers to join a new team that will be driving Qualcomm's open-source Zephyr software for either in-person or remote roles. We seek strategic thinkers with a deep technical understanding of Zephyr and related open-source projects who have made significant contributions to the upstream project. Ideal candidates have technical leadership roles in the upstream community, such as being maintainers, collaborators, or release managers. They will also be excited by the opportunity to bring about meaningful organizational change in Qualcomm's open-source strategy and execution. Candidates with excellent communication skills will be given greater consideration. As Senior Staff engineer, you will report to the Principal Engineer managing the Zephyr team on Qualcomm's Open-Source Tech Team (OSTT). You will be a technical leader and contributor to a new upstream-focused, cross-platform, developer-first, unified, open-source, Zephyr-based firmware development platform for Qualcomm SoCs. This is an exciting opportunity to make a significant impact on our business and contribute to our company's growth. Roles and Responsibilities Help build and maintain a scalable platform that allows Qualcomm to deliver common core software into a public shared mainline for Zephyr-based software development Maintain upstream Zephyr RTOS target support for Qualcomm platforms Work with OSS & upstream initiatives within the Qualcomm Central Software Engineering (CSE) team to improve general software quality Represent the company at industry events and conferences Mentor and build open-source expertise within Qualcomm Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Qualifications Experience in open-source software development in the Zephyr Project community Expertise in a low-level language like C, C++, or Assembly and a high-level language such as Python, Go, or Rust Strong understanding of embedded software and the Zephyr Project software ecosystem Ability to work cross-functionally with product and engineering teams Strong analytical and problem-solving skills Bachelor's degree in Computer Science, or equivalent professional experience Based in the Americas (North or South) or EU in a country with an existing Qualcomm legal presence Willingness to travel globally as needed (likely several times per year) Preferred Qualifications Generalists: used to fighting fires, doing deep surgery on legacy code bases, reviewing code CI and test infrastructure, in particular GitHub Actions and automated hardware validation labs Wi-Fi and/or networking Bluetooth Low-level architecture support (e.g. RISC-V, Arm) The Zephyr build system and hardware model v2 Zephyr drivers for common on-chip peripherals (SPI, I2C, watchdogs, etc.) Security (secure boot, MCUboot, mbed TLS, and other core platform security features and related projects) Power management Pay range And Other Compensation & Benefits $162,600.00 - $244,000.00 The 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 link. If you would like more information about this role, please contact Qualcomm Careers. 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). 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. #J-18808-Ljbffr

A leading technology firm is looking for a Senior Staff Engineer to enhance its open-source offerings. The ideal candidate should have extensive experience in software development, expertise in C and related programming languages, and a strong understanding of embedded systems and Linux. This role is 100% remote and offers a competitive salary range of $162,600.00 to $244,000.00, along with a comprehensive benefits package. #J-18808-Ljbffr

A leading technology company in Palo Alto is seeking a skilled Kubernetes Engineer to contribute to CNCF projects. The role involves designing features, mentoring junior engineers, and collaborating with a global community. Candidates should possess strong Kubernetes expertise and experience in Go programming, with a minimum 10 years of experience in related fields. This position offers a competitive salary and comprehensive benefits package. #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Video Systems, HW Architecture The Multimedia Video Hardware Design team at Qualcomm develops advanced IP cores supporting leading video codec standards. Key Responsibilities Implementing video codec standards (H.264, H.265, H.266, VP9, AV1) Collaborating across hardware, systems, and firmware teams to define specifications and develop IP cores Designing micro-architecture and RTL to meet performance, area, and power requirements Reviewing linting, synthesis, CLP, CDC, and DV coverage reports Maintaining comprehensive design documentation Supporting post-silicon debug Communicating effectively and managing multiple tasks Principal Duties RTL implementation using Verilog/SystemVerilog Design optimization for power, performance, area, and timing Partnering with verification teams for functional and gate-level verification Qualifications Experience in multimedia hardware development (imaging, video, display, audio) Knowledge of SoC bus, interconnect, and memory technologies MS degree with 3+ years in multimedia architecture, video codec standards, VLSI design, and verification Proficiency in Verilog/SystemVerilog, C/C++, SystemC Minimum Qualifications Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. PhD in Computer or Electrical Engineering, Computer Science, or related field. 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. Pay range and Other Compensation & Benefits Salary: $122,500.00 - $183,700.00. Qualcomm also offers a competitive annual discretionary bonus program and opportunity for annual RSU grants. For additional benefits details, please refer to Qualcomm's US benefits information. #J-18808-Ljbffr

A leading technology company in San Diego is seeking AI software engineers to enable AI technologies on edge devices. You will develop embedded software for Qualcomm's cutting-edge hardware, improve ML/AI performance, and work alongside a multi-disciplinary team. Ideal candidates will have strong experience in C/C++, Python, and familiarity with deep learning frameworks. Competitive salary range is offered, along with comprehensive benefits and opportunities for growth. #J-18808-Ljbffr

A leading technology company in San Diego seeks a Design Engineer to develop innovative digital designs. The role involves architecting and optimizing digital components while collaborating with cross-functional teams. Candidates should have extensive experience in RTL/FPGA design and a relevant educational background. The position offers a competitive salary along with a robust benefits package, and requires U.S. citizenship due to security clearance demands. #J-18808-Ljbffr