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Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering Qualcomm AI Research is looking for talented AI software engineers to enable AI technologies on edge devices. This is your opportunity to join a high-caliber team of engineers, building best-in-class GenAI solutions with model optimization tools to deploy state-of-the-art models to edge devices with optimal power, memory, and computation use. In this role, you will be part of a multi-disciplinary team that has continually enabled first-of-its-kind and competitive generative AI models on Qualcomm AI accelerator engines, such as the world's first on device text-to-image generation with stable diffusion, and text-to-text with 7B large language model on device. You will collaborate in a cross-functional environment spanning hardware, software and systems and see your design in action on industry-leading chips embedded in the next generation of intelligent devices, such as smartphones, autonomous vehicles, robotics, and IOT devices. 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. OR 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. OR PhD in Computer Science, Engineering, Information Systems, or related field. Responsibilities Development of end-to-end embedded AI software to run quantized neural network models on Qualcomm leading edge hardware with optimal resources. Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency. Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors. Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases. Preferred Skills and Experience 3+ years of professional work experience in a relevant field. Excellent programming capabilities with C/C++ and Python. Knowledge of deep learning and ML frameworks (i.e. PyTorch). Strong software design, development, and debugging skills. Knowledge of Android programming is a plus. Optimization of algebraic operations in algorithms for HW cores is a plus. Knowledge in neural network model quantization is a big plus. Experience with Qualcomm QNN SDK is a big plus. EEO / 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 email disability-accommodations@qualcomm.com. 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). Notice to Staffing & 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. Pay range and Other Compensation & Benefits: $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. 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. In addition, our 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. 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, 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 theoretical background in AI and general ML techniques Proven hands‑on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics ML Accelerator architecture knowledge & experience with ML Accelerators - GPU/NPU Proven hands‑on experience building LLM stacks to solve real‑world problems Strong Python and modern C++ design and implementation skills. Strong command of Machine Learning training frameworks (i.e. PyTorch) Proven hands‑on experience establishing a high‑quality software delivery process using industry best‑practices (code review, CI/CD, automation, etc.) Strong Linux command line 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 team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Hands‑on experience developing software for heterogenous platforms with OpenCL. Experience developing solutions that target a variety of hardware (CPU, GPU, NSP…) along with their respective SW development environments. Prior experience with model quantization, profiling and running models on edge devices. Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git. 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, Systems Engineering, or related. 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. 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‑************************** 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. 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. Contact: 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, 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, 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 4+ 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 3+ years 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 and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Preferred Qualifications: • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 6+ years of work experience with high-performance microprocessor design. • 6+ years of work experience with high level programming (e.g., C, C++), scripting language programming (e.g., Perl, Python, etc.). • 6+ years of work experience with simulators and/or waveform debugging tools (e.g., Verilog, VHDL, etc.). • 6+ years of work experience with industry standard tools for synthesis place and/or route and design verification. • 6+ years of work experience with simulation, emulation, formal verification, or silicon validation. • 6+ years of experience in creating functional models, checkers, test plans, and/or test generation. • 2+ years experience working in a large matrixed organization. • 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). Principal Duties and Responsibilities: • Leverages advanced 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 complex problems to ensure design completeness, functionality, power, and performance. • Collaborates with cross-functional 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 complex CPU designs. Level of Responsibility: • Works independently with minimal supervision. • Provides supervision/guidance to other team members. • Decision-making is significant in nature and affects 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 do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. 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: $167,100.00 - $250,700.00 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 > 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

We are seeking an experienced Dev/Research Engineer to support product development, compliance, and sustainability initiatives. The ideal candidate will lead research, engineering design, regulatory evaluation, and cross‑functional technical collaboration. This role offers high visibility and the opportunity to influence product strategies across multiple teams and business functions. Key Responsibilities Research, design, develop, and test mechanical systems, tools, machines, and product components. Evaluate customer requirements, specifications, and technical documentation for feasibility, cost, and compliance impact. Investigate mechanical or system issues, identify root causes, and recommend corrective actions. Support drafting and engineering documentation teams with design inputs, blueprints, and CAD oversight. Ensure proper installation, operation, and maintenance of mechanical systems in alignment with engineering standards. Review and interpret regulatory requirements-especially related to packaging waste and Extended Producer Responsibility (EPR). Develop and execute compliance strategies, documentation, and reporting. Work closely with Legal, Operations, Procurement, Logistics, and other cross‑functional teams. Collect, analyze, and interpret technical data to prepare accurate compliance and engineering reports. Represent the organization in meetings, technical forums, and industry associations. Qualifications Bachelor's degree in Engineering (Mechanical, Materials, Physics, Chemical, or related field). 10+ years of progressive experience in engineering, development, or regulatory compliance. Strong expertise in engineering drawings, blueprint interpretation, and CAD tools. Experience in regulatory or product compliance is preferred. Strong analytical skills with proficiency in Excel and technical reporting tools. Effective communicator with proven collaboration and stakeholder‑management experience. Demonstrated leadership, initiative, and ability to influence cross‑functional teams.

Company: Qualcomm Technologies Netherlands B.V. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering At Qualcomm AI Research, we are advancing AI to make its core capabilities - perception, reasoning, and action - ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we're pushing the boundaries of what's possible and shaping the future of AI. Join Qualcomm's AI Research team in Amsterdam and design and implement highly optimized machine learning solutions for generative AI, in collaboration with a multi-disciplinary team of researchers and engineers. What you will do: As Staff Machine Learning Engineer at Qualcomm AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices. Your role will involve rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency. You will also contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment. Candidates should have strong experience with the Python and PyTorch tech stack and a solid understanding of model quantization techniques. Proficiency in C++ and Android development and hands‑on experience working with embedded platforms is a big plus. Successful applicants will be creative, enthusiastic innovators who are equally comfortable with researching new technologies and implementing code for robust prototypes. Requirements: Excellent Python programming skills demonstrated through relevant industry or academic experience Proven experience with machine learning and frameworks such as PyTorch and hands‑on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++ Background in software development, incl. testing, debugging, and test‑driven development Ability to work in a multi‑site software organization Preferred Qualifications: Strong software design, development, and debugging 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 Experience with optimization of algebraic operations in algorithms for HW cores Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc. Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure. Education Requirements: PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields. Why Join Us: At Qualcomm AI Research, you will be part of a team with a wide range of backgrounds that values innovation and creativity. Our commitment to professional growth and development ensures that all team members can thrive and contribute their unique perspectives to making research and business impact. You will be part of a global company (headquartered in San Diego) and work closely with exceptional researchers and engineers that publish at major conferences. Additionally, you will be based in Amsterdam, a scenic, vibrant city known for its picturesque canals, rich history, and dynamic cultural scene, making it a wonderful place to live and work. The role is based out of our Amsterdam office, and we are not seeking remote‑based candidates. 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. Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. 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‑************************** 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. 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. If you would like more information about this role, please contact Qualcomm Careers. #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

Job Title: Mechanical Design Engineer Job Type: Full-Time We are seeking an experienced Mechanical Design Engineer to support new product development programs. The ideal candidate will have a strong background in off-highway and agricultural equipment design, hands-on expertise in Creo and Windchill, and the ability to work with global engineering teams to deliver high-quality mechanical designs. Key Responsibilities Lead mechanical design and new product development using Creo (mandatory). Manage design data, revisions, and documentation using Windchill (mandatory). Develop complex weldment drawings including welding symbols, machining symbols, GD&T, and tolerance stack-ups. Support vehicle integration, including hydraulic and electrical routing. Collaborate with multi-geography engineering teams for project planning and execution. Build and maintain customer and stakeholder relationships. Support project planning, monitoring, and execution activities. Analyze design challenges and implement improvements to enhance existing product lines. Continuously learn and apply new technologies to improve product performance and quality. Required Skills & Qualifications Strong experience in mechanical design and new product development. Mandatory hands-on experience with Creo and Windchill. Experience in off-highway domain vehicles (forestry, agriculture, construction equipment). Knowledge of weldment drawings, welding processes, GD&T, and tolerance stack-ups. Experience with vehicle integration, hydraulic routing, and electrical routing. Exposure to multi-geography team collaboration and coordination. Strong analytical, problem-solving, and communication skills.

Base is building the foundation of American power. The grid is the largest, most complex machine in the world. Yet it's aging, struggling to keep up with today's demand, and is unprepared for our electrified future. Base is modernizing the grid as the first engineering‑led, technology‑driven power company. We're deploying a nationwide network of distributed batteries that strengthens critical infrastructure and saves Americans money. Our team of engineers, operators, creatives, technicians, and electricians design and deploy systems at speed. If you want to tackle the problem that will define this century and shape the future of American energy, now is the time. Join us. About the Role We are looking for a Mechanical Design Engineer to lead mechanical design for Base's high power residential inverter. You'll own key components, review others, and solve cross‑functional design challenges as they come up. This role is for someone with strong thermal fundamentals and experience designing mechanical components for power converters, including heat transfer solutions and packaging for magnetics and capacitors. What You'll Do Own the delivery of the best high power residential grid‑tied inverter. Own mechanical design of some components, check the mechanical design of others. Drive solutions to design problems, be the glue that fills the cracks between designers. What You'll Bring 5+ years expertise owning mechanical design for grid‑tied or similar power converters. Extremely strong thermal fundamentals, including modeling (1D, transient / steady state, FEA/CFD). Experience designing power electronics mechanical components such as magnetics, capacitors banks, etc. Experience designing heat transfer strategies of various types. Our Values We're building a winning culture and we're looking for people who are up for the challenge. Here's what we expect from day one: In‑Person Only: We work full‑time in the office. No hybrid. No remote. Challenge the Status Quo: Question assumptions. Fix broken systems. Principles > rules. Move Fast: Focus on what matters, act quickly, and learn by doing. Give & Get Feedback: Be direct, be humble. Challenge ideas-including your own. Own the Outcome: Take full responsibility. Deliver results. No excuses. Act Like an Owner: Be resourceful, mindful of impact, and committed to the business. Be Decisive: Drive clarity. Make bold calls with imperfect info. Bring the Intensity: This is not a 9‑to‑5. We're building something hard which requires real commitment. #J-18808-Ljbffr

A digital content company based in San Francisco seeks a Senior Engineering Manager for its Growth Platform. This role requires over 7 years of engineering experience, including management of successful teams. The manager will innovate systems for user acquisition and retention while ensuring high technical standards. Above-average pay and flexible work arrangements are part of the package, making it an attractive opportunity for tech leaders who aim to make a measurable impact across the organization. #J-18808-Ljbffr

Education: BS/BA or AS/AA degree in a relevant engineering field. Experience: 8-10 years of hands-on experience in PCB eCAD design. Strong experience with Siemens Xpedition Layout and DxDesigner VX (MANDATORY). Proficient with PCB eCAD library management using EDM flow. Solid experience with Constraints Editor System, Fablink (panelization), Variant Manager, and Drawing Editor. Deep understanding of schematic to Gerber workflows. Experience designing digital, analog, and mixed-signal PCBs. Knowledge of high-speed interface design constraints and practices (e.g., SATA, DDR4/DDR5, USB, Ethernet, PCIe, PMIC). Familiarity with RF board design is a plus. Strong communication skills in English and ability to work collaboratively in teams.

We are seeking a Senior Building Engineer to support complex building operations, troubleshoot escalated issues, and oversee capital improvement projects across our portfolio of Class A multifamily buildings. Environmental/mold remediation experience is preferred but not required - we can support certification for the right senior-level engineer. The ideal candidate has deep technical knowledge of building systems and can take ownership of complex engineering challenges beyond routine maintenance. Key Responsibilities: Advanced Building Systems & Diagnostics Troubleshoot and resolve escalated HVAC, plumbing, electrical, and building envelope issues. Conduct root-cause analysis and recommend long-term solutions. Support building operations across multiple properties as needed. Water Intrusion & Environmental Support (Preferred, NOT required) Assist with investigations related to water intrusion, moisture issues, and potential mold concerns. Collaborate with remediation vendors when needed. Participate in training/certification with company support (IICRC, etc.). Capital Improvement Projects (CapEx) Support planning and execution of system upgrades, infrastructure improvements, and major repairs. Work with contractors, architects, engineers, and internal teams to ensure quality and timelines. Provide technical guidance, cost insights, and feasibility evaluations. Vendor Coordination & Reporting Oversee specialized contractors and monitor work quality. Maintain accurate documentation, building condition reports, and preventative maintenance records. Advise operations leadership on building needs and long-term planning Qualifications Required 5+ years of experience as a Building Engineer, Maintenance Engineer, or similar senior-level facilities role Strong working knowledge of HVAC, electrical, plumbing, and mechanical systems Experience troubleshooting complex issues beyond routine maintenance Experience with Class A, commercial, luxury residential, or multi-site buildings Strong communication, project coordination, and documentation skills Ability to work independently Preferred (Not Required) Experience with water intrusion, moisture issues, or mold remediation Exposure to environmental compliance or related safety standards EPA 608 certification IICRC WRT/AMRT or willingness to obtain with employer support Experience supporting CapEx or system upgrade projects Why Join Us Work across a modern portfolio of Class A buildings High visibility with leadership and ownership Competitive salary and benefits Opportunities for paid certification and continuous learning A collaborative, operations-driven team environment Job Type: Full-time Pay: $80,000.00 - $110,000.00 per year Benefits: 401(k) Dental insurance Health insurance Paid time off Work Location: In person

As Project Engineer, you'll lead the technical performance of all engineering phases on a variety of tactical integrity maintenance projects such ILI maintenance digs, cathodic protection system remediation, and asset integrity maintenance remediation. Maintaining focus on continuous improvement and implementing and applying engineering management techniques within our project life cycle process will improve performance, quality and cost control and safety. The ability to collaborate and coordinate with others to provide technical mentorship, identify and resolve sophisticated problems and develop innovative approaches to address issues that have significant cost and schedule impact are keys to success! Your work will challenge you, and with our Core Values to guide you, youll quickly learn and grow with us. Responsible for a diverse range of complex assignments requiring the use of experience, innovation and judgment and may direct work of other engineers and/or support staff. Plans and conducts own work, exercising substantial latitude for unreviewed decisions. Demonstrates technical expertise in specialty, geographic area, or operational function. Applies specialized knowledge in the effective completion of projects. Prepares and delivers presentations and is able to lead meetings and discussions. Anticipates internal/external customer needs; assesses requirements and identifies solutions. Maintains a strong understanding of industry and operational requirements. Works on a combination of engineering specialties covering more than one discipline. Interprets internal/external business challenges and improves products, processes, or services. Collaborates with teams to ensure compliance, build improvement plans and meet training needs. Champions best practice safety standards. Monitors and controls costs and resources associated with projects. Responsibilities/Expectations: • Be a quick learner regarding Williams projects processes and execute all efforts while following Williams policies and procedures as well as various laws and codes required for each project. • Develops engineering execution strategies to meet overall project objectives; works with internal partners on management of quality control and project timeline. • Coordinates with project team and communicates project drivers; develops approaches to accommodate concerns. • Partners with contractors and project teams to ensure that technical aspects of the project meet expectations, quality standards, and execution strategy; identifies and implements technical improvements. • Addresses the technical content of purchase orders to ensure they contain accurate technical and commercial terms. • Coordinates internal resources to ensure Requests For Information are promptly resolved. • Develops commissioning plans, closes projects and ensures accurate documentation of files, records, databases, and drawings to meet regulatory requirements. • Provides technical expertise and recommendations during project standards reviews. • Accountable for small projects or programs with minimal risks and resource requirements. Interface with consultant engineering firms and internal stakeholders. • Other duties as assigned. Education/Years of Experience: • Required: Bachelor's degree in engineering and minimum five (5) years of progressive engineering experience in the natural gas or petrochemical industry including two (2) years in a similar project engineering role (in asset integrity, cathodic protection or corrosion mitigation). Other Requirements: • Demonstrates excellent organizational/interpersonal skills and safety as the utmost priority. • Proficiency in Microsoft Office Application and PC skills. • Advanced knowledge of the engineering workflow and Project Life Cycle processes. • Advanced knowledge of engineering design principles and applicable design guides and standards related to an engineering field. • Intermediate knowledge of other engineering subject areas design guides and standards. • Demonstrated ability in interpreting engineering deliverable content as assigned. • Proficiency with construction & constructability practices relevant to integrity maintenance remediation. • Strong understanding of processes and procedures for project controls and estimating. • Strong understanding of industry accepted repairs for integrity maintenance projects. • Strong understanding of PHMSA regulations code 192 and 195 with relation to integrity maintenance program management. • Familiar with NDT technologies • Proficiency of procurement & contract administration, business & financial insight, management techniques & administrative practices. Strategy Planning - Preferred: Experience in Power BI - Preferred: Experience in Risk Analysis - Preferred: Lead Certification - Preferred: Experience in pipeline construction - Preferred: Experience in system flow analysis - Preferred: Experience in Aconex - Preferred: PE certification. - Preferred: Corrosion control management certification - Preferred: Asset integrity program management certification Meet Your Recruiter Andrea Lee Text me about this job - ************ Please include your name and Job Title in your Text. Thanks! ************ ******************

As Project Engineer, you'll lead the technical performance of all engineering phases on a variety of tactical integrity maintenance projects such ILI maintenance digs, cathodic protection system remediation, and asset integrity maintenance remediatio Project Engineer, Engineer, Technical, Maintenance, Management, Business Services, Staffing, Integrity

A leading AI Customer Service company in San Francisco seeks a Senior Product Marketing Manager to lead positioning, messaging, and go-to-market strategies for its innovative products. This role demands a blend of strategic thinking and creativity, focusing on driving clarity and engagement around complex AI technology. Candidates should possess deep B2B marketing experience, exceptional writing abilities, and a genuine interest in technology. A hybrid working model is in place. #J-18808-Ljbffr

Job Title: System Engineer - Medical Devices Employment Type: Full-Time About the Role: We are seeking a talented System Engineer to support the design, integration, and lifecycle management of medical devices and healthcare technology solutions. This role involves working closely with cross-functional teams to ensure safety, reliability, regulatory compliance, and high-quality product performance. Key Responsibilities Lead system-level requirements definition, decomposition, and traceability. Develop system architecture, interfaces, and integration plans across hardware, software, and electronics. Support risk management activities (FMEA, hazard analysis, usability, cybersecurity). Coordinate verification/validation activities and support test execution. Analyze defects and drive root-cause investigation and resolution. Ensure compliance with medical regulations and standards (e.g., ISO 13485, IEC 60601, ISO 14971). Prepare design documentation, technical reports, and support design reviews. Collaborate with R&D, Quality, Manufacturing, and Regulatory teams throughout the product lifecycle. Qualifications Bachelor's degree in Electrical, Biomedical, Systems, or related engineering field (Master's preferred). 3 years of experience as a Systems or Product Engineer, ideally in the medical device or healthcare domain. Experience with systems engineering tools (e.g., DOORS, Jama, Polarion). Strong understanding of requirements management, integration, and validation. Working knowledge of regulatory frameworks (FDA, ISO, IEC). Excellent problem-solving, communication, and collaboration skills.

Role Description: Job Title Avaya Voice Phone Telephony Systems Engineer Location Frederick, Maryland Department IT Infrastructure TelecomRoles ResponsibilitiesEstablish and maintain voice and data networks by configuring features, interfaces, and integrations in alignment with industry standards.Activate and manage remote access tools for telephony systems.Verify service functionality through circuit testing, equipment reprogramming, and alarm validation troubleshoot and resolve issues in collaboration with engineering teams.Document telecom network configurations, including diagrams and programming details.Maintain system integrity by diagnosing outages, testing backup procedures, and updating documentation.Administer Avaya phone systems, including call vector design, testing, troubleshooting, and voicemail management.Respond to and resolve Service Desk escalations related to voice adds, moves, and changes across Avaya, Uptivity, TASKE, and AWS Connect platforms.Monitor and document system usage, licenses, and perform regular audits and cleanups.Manage tasks and incidents through HEAT ticketing system and Agile Sprint tracking.Required Technical Skill SetStrong experience in configuring and managing Telephony Systems.Proficiency in Avaya Call Manager, System Manager, and Voicemail Systems.Hands-on experience with NICE Uptivity for call recording and screen capture.Familiarity with TASKE Reporting tools.Exposure to Cisco, secure telephone, and video communication technologies.In-depth knowledge of telecommunications technologies and Avaya PBX systems.Experience administering Avaya Unified Communications environments.AWS Connect configuration and administration expertise.Ability to program voice and data telecommunications network circuits and equipment.Understanding of business continuity and disaster recovery strategies.Experience in designing and optimizing telephony networks. Competencies: Avaya Aura, BT Enterprise Telephony Experience (Years): 10 & Above Essential Skills: Avaya Voice Phone Telephony Systems Engineer

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) **Job Summary** Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. The AI Search and Recommendation team is seeking a visionary and hands-on Principal Engineer to drive the conception, architecture, development, and delivery of next generation AI/ML products and platforms across Comcast, Sky, and NBCUniversal. The ideal candidate bridges deep technical expertise with strategic business acumen, pairing research-grade rigor with production-grade execution. **Job Description** **Core Responsibilities** + Guide the successful completion of high-profile, revenue-impacting programs that use machine learning as essential components. + Act as a subject matter expert in designing and prototyping complex ML models and frameworks; lead innovation in technical capability delivery and platform standards. + Lead design and implementation of ML applications and platforms within one or more product areas; partner with product, engineering, and operations through development. + Maintain a very hands-on approach; contribute code to core and experimental projects; be heavily involved in code reviews and technical deep dives. + Engage in cross-crew projects that drive substantial business and technical outcomes; set quality bars (testing, reliability, security, performance, documentation) and proactively improve them. + Identify and develop new business opportunities leveraging emerging AI/ML tech. + Establish best practices and knowledge bases to guide future innovation. **Qualifications** + Master's Degree in Computer Science, Electrical Engineering, or related field (Ph.D. preferred). + **10+ years** leading R\&D or platform engineering initiatives in technology-driven organizations + Proven experience in AI/ML, Cloud Computing deep knowledge of distributed systems and MLOps (feature stores, model registries, pipelines, monitoring for data/concept drift). + Strong coding proficiency in Python; excellence in code quality, testing, performance, and reliability. + Demonstrated success translating research into viable business solutions or product lines; ability to turn ambiguity into iterative, testable plans. **Employees at all levels are expected to:** + Understand our Operating Principles; make them the guidelines for how you do your job. + Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. + Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. + Win as a team - make big things happen by working together and being open to new ideas. + Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. + Drive results and growth. + Respect and promote inclusion & diversity. + Do what's right for each other, our customers, investors and our communities. **Education** Master's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. **Relevant Work Experience** 10+ Years Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. **Skills:** Machine Learning (ML); Business Acumen; Cross-Team Collaboration; Technical Leadership; Problem Solving; Team Mentoring; Communication Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That?s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality ? to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary (********************************** on our careers site for more details. **Education** Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. **Relevant Work Experience** 10 Years **Job Family Group:** Information Technology