15 jobs found in San Diego

Kaiser Permanente seeks a Relief Charge to lead critical IT support operations in a dynamic healthcare technology environment. In this role, you will oversee shift-based service delivery, coordinate incident response, and serve as the primary escalation point for complex technical issues. You will monitor systems and service queues, guide and mentor technicians, and ensure SLAs are consistently met. Collaborating closely with engineering and product teams, you will help refine tools and processes while supporting a culture of innovation, reliability, and continuous improvement. Strong communication and leadership skills are essential. Responsibilities Oversee day-to-day IT support and service operations during assigned shifts Act as primary escalation point for complex technical incidents Coordinate incident response, prioritization, and resolution with support teams Monitor key systems, queues, and SLAs to ensure consistent service quality Guide and mentor technicians, providing real-time coaching and support Communicate outage and incident status to stakeholders and end users Collaborate with engineering and product teams on recurring issues and improvements Maintain accurate shift reports, incident documentation, and handoff notes Assist with scheduling, workload balancing, and resource allocation Support continual improvement of IT processes, tools, and standards Required Skills IT service management Incident management Team leadership Scheduling and coordination System monitoring tools ITIL framework Change management Technical documentation Customer support tools Performance reporting

Job Description Job Description Job Summary We are seeking a highly skilled CMM (Coordinate Measuring Machine) Programmer with hands-on experience in the gas turbine and/or aerospace industry . The ideal candidate will be responsible for developing, optimizing, and executing inspection programs to ensure precision measurement and compliance with strict aerospace quality standards. Key Responsibilities Develop, edit, and optimize CMM programs using software such as PC-DMIS, Calypso, or MCOSMOS . Perform inspections of complex components such as turbine blades, vanes, rotors, stators, casings, and precision aerospace parts . Interpret engineering drawings, GD&T (Geometric Dimensioning & Tolerancing), and CAD models . Conduct first article inspections (FAI) in accordance with AS9102 standards . Collaborate with manufacturing, quality, and engineering teams to resolve dimensional and process issues. Analyze inspection data and generate detailed reports using statistical tools. Ensure compliance with AS9100, ISO standards, and aerospace quality requirements . Maintain calibration and proper functioning of CMM equipment. Troubleshoot programming or measurement discrepancies and recommend corrective actions. Support continuous improvement initiatives aimed at enhancing inspection efficiency and accuracy. Required Qualifications Bachelor's degree in Mechanical Engineering, Manufacturing, or related field (or equivalent experience). 3+ years of hands-on experience as a CMM Programmer in aerospace or gas turbine manufacturing . Strong expertise in CMM programming software (PC-DMIS, Calypso, etc.). In-depth understanding of GD&T and blueprint reading . Experience in inspecting tight-tolerance, high-precision components . Familiarity superalloys, titanium, and composites. Knowledge of AS9100 / AS9102 standards and aerospace quality systems. Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Description Job Description Lead / Principal Process ML Engineer Job Title: Lead / Principal Process ML Engineer Job Type: Full-time Location: San Diego, CA Summary We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time. This role is needed to expand our process optimization capability - we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment. Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution. Roles and Responsibilities Own the technical direction for key projects - set vision, define what to build, manage priorities, and be accountable for delivery Lead development of ML-driven process optimization products - from causal modeling to productization and customer deployment Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints Define modeling strategy - decide which physics to encode, which architectures to use, and how to validate against real process data Drive architecture reviews and technical decision-making across the process optimization team Hire, mentor, and grow engineers - build a high-performing team through hiring, code reviews, and technical coaching Coordinate across HQ (Seoul) and overseas R&D labs - aligning research with product roadmaps across time zones Own production-grade delivery - models must run reliably inside equipment operating 24/7 on customer lines Requirements Doctorate (Ph.D.) Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field 8+ years of industry experience post-Ph.D. Proven track record of shipping process optimization or control products from problem definition through customer-facing deployment Experience leading a technical team - setting direction, managing delivery, and making architecture decisions Strong physics foundation (fluid dynamics, thermodynamics, heat transfer, mechanics) Strong ML skills (PyTorch, custom architectures, PINNs, neural operators, surrogate models) Ability to bridge physics and product - translate process understanding into model design and product features Comfort with ambiguity: able to define the problem and the approach, not just execute a spec Experience shipping ML-driven process optimization or control products in an industry setting Experience leading or managing a technical team (ML or applied science) Experience with production software systems - ML integration, data pipelines, deployment infrastructure Preferred Requirements Prior role as Tech Lead, Staff Engineer, or Team Lead in an ML or applied science team Experience productizing process optimization as a commercial product deployed on customer sites Hands-on manufacturing process experience - semiconductor, SMT, electronics assembly, or precision manufacturing Experience coordinating technical direction across distributed teams (HQ + overseas R&D) Published work in scientific machine learning, computational physics, or neural operators Experience with SPC, Cpk analysis, or 3D inspection/metrology systems Benefits • Health/Dental/Vision/Life Insurance at no employee premium (including dependent coverage) • 401K retirement plan with 5% matching • Generous PTO and paid holidays

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Description: Summary The Facilities Automation Engineer is responsible for overseeing the operation of the Building Management System (BMS), policies, and procedures for maintaining the system in a compliant GMP status. Responsibilities include compliance with the alarm response procedure, making changes under change control, writing system requirement documents, assisting with validation, modifying existing SOP's and creating new documents as directed. Works with and directs contractors to modify, commission and validate changes to the BMS. Essential Job Responsibilities Applies basic engineering and scientific principles to define user requirements for the operation of the automated Building Management System. Oversee day to day operation of the Building Management System. Interface with IT, Facilities and other departments as necessary to ensure proper operation of system and components (controllers, sensors, and alarms). May lead teams or collaborates with Validation and Facility personnel in the testing of mechanical systems air handling systems, differential pressures, cold rooms, and stand-alone refrigeration units Generate reports using the BMS data to demonstrate compliant operations. Execute engineering tests, commissioning and validation protocols following Good Manufacturing Practices Collaborates with Quality Assurance, Validation, QC, Warehouse, and Manufacturing groups. Effective communicator of goals and results within Facilities Interacts with other functional groups on specific tasks. Authors internal reports at appropriate milestones with minimal guidance. Requirements: Education and Experience Bachelor of Science with 1 years' experience in facilities. Preferred a degree in chemical/biochemical/ mechanical/ electrical engineering, or information technology related disciplines. Knowledge, Skills, and Abilities Working knowledge of Building Management System Operations preferably Siemens Desigo and Insight. Basic understanding of applied physics as it relates to HVAC and refrigeration systems. Basic understanding of programming logic Follow written and verbal directions in a safe and GMP compliant Executes validation and commissioning protocols without guidance. Regularly required to talk and hear; to exchange ideas accurately, loudly or quickly through oral communication. Specific vision requirements include close vision, distance vision, peripheral vision, depth perception, color vision and ability to adjust focus. The noise level in the work environment is usually quiet to moderate, but it may be required to shout in order to be heard above ambient noise level. Required to perform repetitive tasks such as typing, use of mouse, screwdriver and other hardware. Consistently required to perform sitting, standing for sustained periods of time, reaching, twisting, handling, fingering, and feeling objects such as tools and controls. Frequently required to climb stairs, ramps and step ladders. Occasionally it involves stooping, balancing, kneeling, crouching and feeling. Required to work within a manufacturing facility and laboratory environment where employees may be exposed to risk group 2 agents. Required to work within the manufacturing facility and must be able to gown appropriately and don required personal clothing to enter controlled manufacturing facility including sterile environments. Required to wear protective eyewear, tyvek suit, nitrile gloves (double gloves) and safety shoes. Occasionally will work within a laboratory environment. Required to work outside of the building in the equipment yards and roof buildings. May be exposed to close quarters, crawl spaces, shafts, manholes, small, enclosed rooms, small sewage and water line pipes, and other areas which could cause claustrophobia. May be subject to oils where there is air and/or skin exposure to oils and other cutting fluids. The employee may be required to work at heights when performing standard facilities work. May be exposure to oscillating movements of the extremities or whole body. Required to work in some areas where there Is poor lighting. May be exposed to pressurized vessels. Occasionally exposed to thermal hazards. May be required to work in temperatures above 100 degrees for periods of more than one hour. Consideration should be given to the effect of other environmental conditions such as humidity and wind. May be exposed to one or more of the following conditions which may affect their respiratory system: dusts, fumes, odors, vapors or mists. On occasion, the employee may work on weekends or nights, or on-call as needed. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions for this position. Please note this job description is not designed to cover or contain a comprehensive listing of activities, Effective communicator of project updates and results. Works effectively in teams.

Job Description Job Description EST-4 Fire Alarm Programmer - Poway, CA AMPAM is a leading Mechanical, Electrical, and Plumbing (MEP) contractor serving large-scale multifamily and commercial projects across California. With 1,500 employees across multiple business units, we are committed to delivering quality, safety, and excellence in every project. In June 2026, AMPAM acquired Coastal Fire & Integration Systems ("Coastal"), a San Diego-area provider of fire protection, low-voltage, and life safety systems. This role will join the AMPAM team as a part of our Coastal Fire & Integration Systems acquisition. Qualifications The ideal candidate should: Possess experience programming Edwards EST-4 fire alarm systems. Possess troubleshooting experience on EST-4 fire alarm systems, including ground faults, communication issues, device troubles, network issues, and system programming conflicts. Possess strong computer skills, including the ability to use programming software, maintain electronic files, generate reports, and communicate by email. Hold a NICET Fire Alarm Systems certification. NICET Level II or higher preferred. Possess a working knowledge of low-voltage communication systems, fire alarm systems, emergency communication systems, and related building system interfaces. Be able to read and interpret fire alarm drawings, riser diagrams, device layouts, sequence of operations, submittals, specifications, and as-built documentation. Be familiar with applicable fire alarm codes and standards, including NFPA 72, California Fire Code, local AHJ requirements, and project specifications. Be able to travel to job sites, arrive on time, and be organized with required safety gear, tools, laptop/programming equipment, and necessary parts or materials. Have strong communication, analytical, and problem-solving skills. Be able to communicate professionally with project managers, field technicians, inspectors, general contractors, customers, vendors, and AHJs. Job Duties The EST-4 Fire Alarm Programmer will be responsible for: Fire alarm system programming associated with start-ups, changes, tenant improvements, system modifications, service work, and project closeout. Programming, downloading, uploading, backing up, and maintaining EST-4 fire alarm system files. Reviewing approved drawings, sequence of operations, device lists, and project specifications to ensure programming matches the intended system design. Performing fire alarm troubleshooting and repairs on EST-4 systems. Supporting system commissioning, pre-testing, final testing, and acceptance testing. Servicing, inspecting, testing, and installing fire alarm systems in accordance with prescribed standards, approved drawings, manufacturer requirements, and applicable codes. Coordinating with field technicians to verify device addressing, labeling, circuit connections, panel terminations, network communication, notification appliance operation, and system functionality. Testing and verifying initiating devices, notification appliances, control modules, monitor modules, relays, annunciators, power supplies, voice evacuation components, and related fire alarm equipment. Programming and testing system interfaces, which may include elevator recall, sprinkler monitoring, duct detector shutdown, door release, smoke control, monitoring connections, access control interface, and other building system integrations. Participating in inspections and acceptance testing with fire departments, AHJs, general contractors, owners, and other project stakeholders. Preparing and maintaining accurate documentation, including programming files, test reports, deficiency lists, as-built notes, and closeout information. Providing technical support to project managers, service technicians, inspection teams, and customers as needed. Safety: Complying with company and OSHA safety regulations to ensure safe work procedures in the workplace and on job sites. Additional Duties The comprehensive listing of activities, duties, or responsibilities required of the employee for this position may be in excess of what is listed herein. Duties, responsibilities, and activities may change at any time, with or without notice. Physical Requirements This position requires visual acuity and listening ability. Individuals must be able to stand, walk, kneel, bend, crawl, and crouch for long periods of time. Individuals may be required to climb ladders, scaffolding, stairs, and access equipment in mechanical rooms, electrical rooms, rooftops, parking structures, ceiling spaces, and other job site locations. Individuals must be able to lift, carry, push, and pull in excess of 50 pounds. This position may occasionally require individuals to work in high places, confined spaces, small cramped spaces, active construction sites, and occupied facilities. Applicants must be currently authorized to work in the U.S. on a full-time basis without future employment sponsorship Recruitment Agencies: To protect the interests of all parties, AMPAM WILL NOT accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to AMPAM, including unsolicited resumes sent directly to AMPAM leaders/managers/coworkers or to AMPAM's database will be considered AMPAM property. AMPAM will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Inquiries from external recruitment agencies should be directed ONLY to our talent acquisition team.

Job Description Job Description Lead / Principal Process ML Engineer Job Title: Lead / Principal Process ML Engineer Job Type: Full-time Location: San Diego, CA Summary We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time. This role is needed to expand our process optimization capability - we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment. Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution. Roles and Responsibilities Own the technical direction for key projects - set vision, define what to build, manage priorities, and be accountable for delivery Lead development of ML-driven process optimization products - from causal modeling to productization and customer deployment Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints Define modeling strategy - decide which physics to encode, which architectures to use, and how to validate against real process data Drive architecture reviews and technical decision-making across the process optimization team Hire, mentor, and grow engineers - build a high-performing team through hiring, code reviews, and technical coaching Coordinate across HQ (Seoul) and overseas R&D labs - aligning research with product roadmaps across time zones Own production-grade delivery - models must run reliably inside equipment operating 24/7 on customer lines Requirements Doctorate (Ph.D.) Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field 8+ years of industry experience post-Ph.D. Proven track record of shipping process optimization or control products from problem definition through customer-facing deployment Experience leading a technical team - setting direction, managing delivery, and making architecture decisions Strong physics foundation (fluid dynamics, thermodynamics, heat transfer, mechanics) Strong ML skills (PyTorch, custom architectures, PINNs, neural operators, surrogate models) Ability to bridge physics and product - translate process understanding into model design and product features Comfort with ambiguity: able to define the problem and the approach, not just execute a spec Experience shipping ML-driven process optimization or control products in an industry setting Experience leading or managing a technical team (ML or applied science) Experience with production software systems - ML integration, data pipelines, deployment infrastructure Preferred Requirements Prior role as Tech Lead, Staff Engineer, or Team Lead in an ML or applied science team Experience productizing process optimization as a commercial product deployed on customer sites Hands-on manufacturing process experience - semiconductor, SMT, electronics assembly, or precision manufacturing Experience coordinating technical direction across distributed teams (HQ + overseas R&D) Published work in scientific machine learning, computational physics, or neural operators Experience with SPC, Cpk analysis, or 3D inspection/metrology systems Benefits • Health/Dental/Vision/Life Insurance at no employee premium (including dependent coverage) • 401K retirement plan with 5% matching • Generous PTO and paid holidays

Job Description Job Description POSITION SUMMARY The Operations, Facilities & IT Manager oversees agency facilities, property maintenance, operational projects, asset management, assigned vendor relationships, and outsourced IT services. This management and hands-on role assesses facility needs, performs routine repairs, preventive maintenance, and minor handyman work, and engages qualified or licensed contractors when needed. The position manages projects and vendors through completion while ensuring accurate budgets, expenses, contract terms, renewals, and payment obligations for both long-term and month-to-month agreements. As the agency's primary liaison with its outsourced IT partner, the position receives and triages internal IT requests, resolves appropriate issues, and escalates other tickets to the IT provider. The manager monitors tickets through resolution, communicates updates, addresses delays, and identifies recurring issues. This position also serves as Harmonium's Information System Security and Privacy Officer. ESSENTIAL FUNCTIONS RESPONSIBILITIES Manage multiple concurrent facilities, technology, and operational priorities while consistently meeting agreed-upon milestones and deadlines Maintain timely, accurate, and complete project, vendor, asset, maintenance, and service records Develop, update, and implement agency facilities and operations procedures, workflows, and documentation Manage maintenance and improvement needs for owned and leased properties, including assessing requests, setting priorities, defining scope, developing project action plans, assigning deadlines, scheduling work, and monitoring projects through completion, communicating updates and tracking costs (includes monthly site visits) Determines the appropriate division of responsibilities between this role and outsourced service providers. Identify, evaluate, and coordinate qualified vendors and contractors; confirm required contracts, licenses, and insurance; monitor performance, quality, cost, and timely completion of work Develop, negotiate, administer, and monitor facilities, operations, and technology-related contracts within delegated authority Manage and coordinate the outsourced IT vendor relationship, including service expectations, escalations, project coordination, performance monitoring, and alignment with agency needs and budget Serve as system Administrator for for multiple systems related to Operations, IT and Facilities including, but not limited to, for Google Domain and manage all associated accounts Perform basic desktop support activity for Hardware, App and Software issues Perform basic technological desktop support, such as equipment setup JOB COMPLEXITY Coordinate RingCentral administration and ensure voicemails, emails, and faxes are routed and distributed accurately and timely Ensure agency buildings are properly maintained by assessing needs and coordinating preventive maintenance, repairs, safety inspections, renovation projects, and resource-efficiency improvements Perform routine repairs, preventive maintenance, and minor handyman work at agency-owned and leased facilities, including basic carpentry, painting, patching, furniture assembly, fixture replacement, and other minor building maintenance. Assess whether work can be safely and appropriately completed internally or requires a qualified or licensed contractor, and coordinate external contractors when necessary Conduct preliminary roof visual checks to locate damage sources, document scope, and engage qualified roofing companies to complete comprehensive inspections and necessary repairs Safely climb ladders, access rooftops, and work at elevated heights in accordance with company policies and applicable safety regulations Comply with all company safety policies, training requirements, personal protective equipment (PPE) requirements, and fall-protection procedures Respond to emergency maintenance situations as needed Evaluate facilities and operational systems and recommend practical improvements that strengthen safety, efficiency, service quality, and accountability Transport tools, supplies, and materials between sites using a personal vehicle, coordinating and driving rental trucks as needed for large equipment or high-volume transfers Assist with gathering facilities, technology, budget, and project information and coordinating logistics for grant applications and funded projects Analyze, prioritize, and respond to requests for repairs, maintenance, purchases, technology support, and facility improvements and prepare budgets for review and approval Evaluate and administer physical security systems across agency facilities and coordinate vendors, access, maintenance, and issue resolution Serve as Safety Lead for Administrative Office and support implementation of the agency's Injury and Illness Prevention Plan Maintain current tracking tools and project documentation for vendors, contracts, assets, repairs, service requests, budgets, milestones, risks, decisions, and completed work Coordinate facilities and operations budget planning and monitoring; review proposals, negotiate pricing, and recommend cost-effective solutions Receive, assess, and coordinate non-IT help desk tickets and administrative office operational needs to support timely resolution and efficient office operations Provide minor routine maintenance and hands-on support for the Administrative Office and other agency locations, as needed Serve as the first point of contact for employee IT support requests; perform initial intake and basic triage, submit or route tickets to the managed IT service provider, communicate status, escalate delays or critical issues, and monitor requests through resolution Serve as Harmonium's Information System Security and Privacy Officer and coordinate with agency leadership and the managed IT service provider regarding technology security, privacy, access, incident response, and required documentation Collaborate across all program and administrative service areas to plan work, communicate impacts or timeline changes, manage vendor interaction, coordinate access, and minimize disruption to agency operations Under HR's direction, participate in gathering information and supporting facilities, operations, technology, safety, or privacy matters with legal implications STAFF SUPERVISION This position has no direct reports but leads projects and coordinates the work of vendors, contractors, consultants, and internal stakeholders COMMUNICATION Develop and maintain positive, professional, service-oriented relationships with employees, program leaders, vendors, contractors, consultants, and community partners Provide regular status reports on facilities, maintenance, technology services, budgets, risks, project milestones, deadlines, and outstanding decisions Coordinate Administrative Office setup and facilities and technology readiness for new employees in partnership with HR, supervisors, and the managed IT service provider AGENCY LEADERSHIP Lead the consistent implementation, documentation, and continuous improvement of agency operations, facilities, maintenance, asset management and project management procedures Provide agency oversight and coordination of outsourced IT services and hold the managed IT service provider accountable to contractual expectations and organizational priorities Anticipate operational risks and barriers, address urgent issues promptly, exercise independent judgment, recommend solutions, and drive assigned work to timely completion DECISION MAKING Participate in resource, budget, vendor, technology, and facilities planning; independently prioritize work and make recommendations that support agency-wide operations Exercise discretion and independent judgment within Harmonium's policies, procedures, contracts, budgets, regulatory requirements, and delegated authority Exercises sound judgment in communicating with the supervisor by keeping them informed of key issues, emerging concerns, and significant developments; works independently while recognizing when consultation, guidance, or escalation is needed. MINIMUM COMPETENCIES EDUCATION & EXPERIENCE Bachelor's Degree in business, operations, facilities management, project management, information systems, or a related field preferred; equivalent relevant education and experience may be considered Minimum of 5 years of progressively responsible experience in operations, facilities, project management, IT, property management, or a closely related field Employee management experience preferred Maintenance and/or handyman experience KNOWLEDGE, SKILLS & ABILITY Excellent oral and written communication skills and demonstrated commitment to responsive, high-quality internal and external customer service Ability to balance multiple priorities, respond to urgent operational needs, and remain effective in high-pressure situations Working knowledge of Google Workspace, Mac OS/iOS, PC hardware, Windows operating systems, Microsoft 365/Office applications, IT service-ticketing systems, asset management, and vendor-supported technology environments Demonstrated ability to work independently, exercise sound judgment, collaborate across departments, and lead work through influence Strong analytical and creative problem-solving skills . click apply for full job details

Qualcomm seeks a Windows Power and Thermal Engineer to optimize power, performance, and thermals for next generation SoCs and AI driven devices. You will design and tune Windows power/thermal policies, develop tools and scripts, and analyze system level behavior across CPU, GPU, NPU, and RF subsystems. Collaborate with silicon, firmware, and OS teams to debug complex issues, run lab measurements, and validate features on reference and OEM hardware. Document findings, drive design recommendations, and help define best practices that improve battery life, device reliability, and user experience in global 5G and AI platforms. Responsibilities Design and optimize Windows power and thermal management strategies for Qualcomm So Cs and platforms Analyze system level power, performance, and thermal data across CPU, GPU, NPU, and RF subsystems Develop tools, scripts, and workflows to profile and tune power/thermal behavior under real world workloads Collaborate with silicon, firmware, OS, and OEM partners to debug and resolve complex system issues Perform lab measurements, bring up, and validation on reference designs and customer devices Define and refine power/thermal policies to improve battery life, performance, and device reliability Document analysis, findings, and recommendations for internal stakeholders and external partners Support enablement of AI and 5 G features with efficient power and thermal characteristics Contribute to architecture reviews and roadmap discussions for future platforms Drive best practices and guidelines for power and thermal optimization across product lines Required Skills Windows power management Thermal profiling and modeling So C architecture (CPU/GPU/NPU) Embedded firmware interaction Performance and power benchmarking Scripting in Python or Power Shell Lab measurement and instrumentation ACPI and Windows driver frameworks Data analysis and visualization System level debugging

Qualcomm seeks a Gen AI Transformation Engineer to accelerate embedded software and engineering productivity for next gen wireless and media platforms. You will design and deploy GenAI solutions across firmware, embedded OS, and toolchains to automate workflows, optimize code, and enhance developer experience. Partner with software, silicon, and DevOps teams to integrate AI copilots, code analysis, and test generation into existing pipelines. Evaluate models, build scalable inference services, measure impact on productivity, and drive best practices for secure, compliant AI adoption in a fast paced, innovation driven environment. Responsibilities Design and implement Gen AI solutions to enhance embedded software development and engineering productivity Integrate AI copilots, code generation, and static analysis tools into existing CI/CD and development workflows Collaborate with embedded, firmware, tools, and Dev Ops teams to identify and automate high value engineering use cases Build and maintain scalable Gen AI services and APIs optimized for Qualcomm hardware and software stacks Evaluate and fine tune large language models and domain specific models for code and documentation tasks Develop metrics and dashboards to measure productivity, quality, and performance impact of AI solutions Ensure AI systems follow security, privacy, and responsible AI guidelines and Qualcomm standards Create technical documentation, best practices, and internal training for AI augmented engineering workflows Required Skills Embedded software development C/C++ programming Python programming Machine learning and Gen AI (LLMs) Model integration and APIs (REST/GRPC) CI/CD pipelines and Dev Ops tooling Cloud platforms (AWS, Azure, or GCP) MLOps and model monitoring Software architecture and design Data engineering and feature pipelines

Qualcomm seeks a Staff Software Engineer for Subsystem Integration Test within our Telecommunications & Media group. You will design and develop automated test frameworks and tools to validate complex wireless subsystems across 5G, IoT, and automotive platforms. Responsibilities include creating test plans, integrating hardware and software components, analyzing logs and performance metrics, and debugging issues at system, firmware, and driver levels. You will collaborate with cross functional global teams, guide junior engineers, and ensure high quality, scalable solutions that meet aggressive performance, reliability, and interoperability goals. Responsibilities Design and implement automated subsystem integration tests for wireless platforms Develop and maintain test frameworks, tools, and scripts for 5 G and related technologies Create detailed test plans and strategies covering functionality, performance, and reliability Integrate hardware, firmware, drivers, and application software in complex test environments Analyze logs, KPIs, and performance metrics to identify defects and system bottlenecks Debug integration issues across system, firmware, and driver layers Collaborate with cross functional global teams to define requirements and resolve issues Review designs for testability and provide feedback to design and firmware teams Mentor junior engineers in test methodologies, tools, and best practices Contribute to continuous improvement of test automation, coverage, and execution efficiency Required Skills Python or similar scripting for automation Subsystem and system integration testing Test framework and tool development5 G/LTE or wireless protocol knowledge Embedded systems and firmware debugging Linux and RTOS environments Version control (Git) and CI/CD pipelines Log analysis and performance profiling Test planning and strategy C/C++ for low-level debugging

Qualcomm seeks a Staff Software Engineer for CI, build, and release pipelines supporting cutting edge wireless and 5G products. You will design, implement, and optimize scalable CI/CD systems, build orchestration, and automated release workflows for complex semiconductor and software stacks. Responsibilities include developing robust build scripts, managing artifact repositories, integrating test automation, improving reliability and performance, and enforcing quality and security gates. You'll collaborate with global engineering teams to streamline releases, troubleshoot pipeline issues, and drive best practices in DevOps, tooling, and release engineering. Responsibilities Design and maintain scalable CI/CD pipelines for wireless and 5 G-related software and tooling Develop and optimize build systems, scripts, and automation for complex semiconductor and software stacks Implement and manage artifact repositories, versioning, and release packaging workflows Integrate automated testing, quality checks, and security gates into build and release pipelines Monitor, troubleshoot, and resolve build, CI, and deployment issues across environments Collaborate with global engineering teams to streamline release processes and improve developer productivity Define and enforce best practices for CI/CD, branching strategies, and configuration management Continuously improve pipeline performance, reliability, and observability through metrics and tooling Required Skills CI/CD pipeline design and implementation Build systems (CMake, Bazel, Gradle, or similar) Source control and branching strategies (Git) Scripting languages (Python, Bash, or similar) Artifact repository management (Artifactory, Nexus, etc.) Test automation integration in CI/CDContainerization and orchestration (Docker, Kubernetes) Monitoring and observability for pipelines Linux development environments Release engineering and configuration management

Qualcomm seeks a Principal, Gen AI Transformation leader to drive large scale AI initiatives across its Telecommunications & Media portfolio. This role defines the GenAI strategy, partners with product, engineering, and business units, and converts use cases into scalable solutions spanning devices, networks, and cloud. You will lead discovery workshops, design reference architectures, and guide pilots to production, ensuring security, compliance, and performance. Collaborate with global teams to embed AI into workflows, measure business impact, and build an enterprise roadmap that accelerates innovation and competitive advantage. Responsibilities Define and drive Qualcomm's enterprise Gen AI transformation strategy across products and business units Identify, prioritize, and shape high value Gen AI use cases with telecommunications and media stakeholders Design scalable Gen AI architectures spanning device, edge, network, and cloud platforms Lead end to end delivery of Gen AI pilots and scale them to secure, compliant production solutions Collaborate with engineering, product, and operations to embed AI into tools, workflows, and services Establish governance, risk, and performance metrics for Gen AI solutions and model lifecycle Partner with data, security, and IT teams to ensure robust data pipelines and responsible AI practices Evangelize Gen AI capabilities, run workshops, and upskill internal teams on best practices Measure and communicate business impact, creating executive ready roadmaps and progress updates Stay current on AI/ML, LLM, and telecom innovations to inform Qualcomm's technology strategy Required Skills Gen AI and large language models (LLMs) Machine learning and deep learning MLOps and model lifecycle management Cloud platforms (AWS, Azure, or GCP) Data engineering and pipelines Architecture design for scalable AI systems Python or similar programming languages API integration and microservices Model evaluation, monitoring, and observability Security, compliance, and responsible AI practices

Qualcomm seeks an AI Researcher focused on on-device LLM efficiency to advance next generation wireless and mobile platforms. You will research and prototype algorithms for model compression, quantization, pruning, distillation, and on device inference optimization across smartphones, IoT, and automotive systems. Collaborating with cross functional silicon, software, and product teams, you will design experiments, benchmark models, and translate research into production ready solutions. This role offers broad impact on 5G and edge AI, strong publication opportunities, and growth in a fast paced, innovation driven environment. Responsibilities Research and develop methods for on-device LLM efficiency, including compression, quantization, pruning, and distillation Prototype and benchmark LLM inference on Qualcomm mobile, Io T, and automotive platforms Collaborate with silicon, software, and product teams to translate research into deployable solutions Design and run experiments to evaluate accuracy, latency, power, and memory trade-offs Publish and present findings internally and externally to help shape Qualcomm's AI roadmap Contribute to tooling and pipelines for efficient model deployment on edge devices Required Skills Large language models (LLMs) Model compression and quantization Network pruning and distillation On-device and edge AI optimization Deep learning frameworks (Py Torch, Tensor Flow) C++ and Python programming GPU/NPUs and hardware-aware MLPerformance profiling and benchmarking Distributed training and experimentation MLOps and deployment pipelines