AI Memory Solution Architect, Principal Engineer (San Jose)

Overview AI Memory Solution Architect, Principal Engineer role at SK hynix America Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite Base pay range $180,000.00/yr - $240,000.00/yr Job Title: AI Memory Solution, Principal Engineer About SK Hynix America At SK hynix America, we are at the forefront of semiconductor innovation, developing advanced memory solutions that power devices from smartphones to data centers. We drive the evolution of memory and related technologies and invest in AI, machine learning, and eco-friendly solutions. Job Summary As an AI Memory Solution Architect, you will design cutting-edge AI memory and storage solutions, leading hardware-software coordination and collaborating with performance analysis to ensure high efficiency. Collaborate with system software and hardware design teams to ensure seamless integration and optimal performance of energy-efficient AI system infrastructure. Responsibilities Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache controllers, and system interconnects Collaborate with system software architects to ensure optimal hardware-software co-design and integration Develop and deliver system-level modeling and simulation environment for next-generation AI memory solutions Deliver memory subsystems and IP designs, including microarchitecture specification, RTL logic design, verification, and FPGA prototypes Optimize memory system architecture for performance, power efficiency, and scalability Develop and maintain hardware specifications, technical documentation, and test plans Participate in technical discussions and provide input on hardware system design and architecture with industry ecosystem partners Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and hardware architecture Qualifications MS in Electrical and Computer Engineering, or related field, with 8 years (or Ph.D. with 4 years) of experience in hardware design, with a focus on SoCs and memory subsystems Strong understanding of computer architecture, memory systems, and hardware design Proven track record of expertise in digital design including microarchitecture specification development, system modeling, RTL logic design, synthesis, timing closure and power-performance-area (PPA) analysis Good working knowledge or experience in simulation frameworks such as QEMU, Gem5, DRAMPower, DRAMSim and other relevant open source simulators Excellent problem-solving skills, with the ability to debug complex system software issues Strong communication and collaboration skills, with the ability to work with cross-functional teams Familiarity with memory and interface technologies, such as DRAM, HBM, NVMe, CXL and PCIe is a plus SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $180,000 - $240,000 USD Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Semiconductor Manufacturing J-18808-Ljbffr

Director, Product Management Energy (, WA, United States)

Position Summary: Director of Product Management Energy The Director of Product Management for Energy Experiences will act as the single-threaded technical product owner responsible for driving the lifecycle, prioritization, and execution of the smart home energy management roadmap. This is a high-visibility, senior individual contributor position that requires a unique blend of strategic foresight, profound customer empathy, and deep technical execution. You will operate with a high degree of independence, taking complex energy management challenges and translating them into seamless, scalable consumer experiences that bridge the gap between home automation and grid sustainability. In this role, you will own the product strategy to deeply integrate the Vivint smart home system with broader energy management solutions (such as intelligent load shifting, demand response programs, solar/storage orchestration, and consumption optimization). Your ultimate mission is to build integrated, intelligent features that allow the Vivint Home ecosystem to work seamlessly on behalf of our customers—minimizing their carbon footprint, keeping them comfortable, and saving them money without requiring manual effort. Primary Responsibilities Customer Insights & Energy Data Mastery Deep Consumer Understanding: Act as the organization's primary champion for the user, developing an exhaustive understanding of how, when, and why customers consume energy within their households today. Behavioral & Consumption Data Expertise: Utilize deep data expertise to analyze complex customer usage patterns, device telemetry, and household power metrics, transforming these insights into actionable energy optimization strategies. Feature & Hardware Gap Analysis: Continuously identify friction points and critical gaps in our current product features and physical hardware suite, determining exactly how our ambient system can be evolved to better automate household efficiency. Data-Driven Energy Roadmap: Own the multi-year technical product roadmap, requirements definitions, and feature sequencing to transform Vivint into a central, proactive residential energy hub. Cross-Functional Hardware/Software Integration: Bridge the gap between physical smart home endpoints (thermostats, smart plugs, panels) and utility-facing software layers, managing the product lifecycle from initial data modeling through to over-the-air (OTA) feature deployment. Smart Home & Grid Orchestration: Act as a core thought leader on how home automation hardware can interact with external energy programs, ensuring our system can respond intelligently to grid events while preserving a premium user experience. Influence & Matrixed Leadership Independent Delivery: Operate autonomously as a senior individual contributor, driving complex, multi-phase product launches across the organization without relying on a large team of direct reports. Cross-Functional Influence: Lead and align matrixed peer teams across Hardware/Software Engineering, Data Science, UX Design, Corporate Sustainability, and External Utility/Regulatory Partners to maintain delivery velocity. Executive Communication: Serve as the primary product spokesperson for your domain, clearly communicating roadmap milestones, energy savings analytics, and long-term product health to executive leadership. Required Skills & Functional Dimensions Autonomous Strategy & Extreme Ambiguity: Proven ability to independently manage a complex technical product domain, establishing a clear execution path and building product frameworks with incomplete data sets. Advanced Analytics & Energy Literacy: Exceptional capability to dissect complex consumption data sets, identifying core metrics and behavioral trends that reveal opportunities for automatic energy conservation and grid integration. Versatile Technical Literacy: Comfortable diving deep into hardware constraints and firmware capabilities, as well as cloud APIs, data pipelines, and distributed energy resource management software (DERMS). Systems Thinking: Strong product design instincts with a focus on building cohesive, ecosystem-wide experiences rather than siloed, standalone features. Required Education & Experience Experience: 6–8 years of technical product management experience, with a solid track record of shipping consumer-facing software features, smart home solutions, or energy-adjacent tech platforms at scale. Data-Driven Delivery Track Record: Demonstrated experience working closely alongside data science and analytics teams to monitor, evaluate, and evolve live, mass-market consumer experiences. Cross-Functional Partnership: Proven success working daily alongside engineering architects, software developers, and industrial designers to deliver high-quality customer experiences. Education: B.S. or M.S. in a Technical Field (Computer Science, Electrical Engineering, Energy Systems, or a related quantitative discipline); equivalent practical technical experience considered. Salary and Benefits The base salary range for this position is: $177,520 - $292,920* The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts. Job Functions Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found athttp://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf) J-18808-Ljbffr

Senior Engineering Program Manager, AI Platform Infrastructure, Apple Services Engineering (Cupertino)

Overview Summary The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. They operate at scale, delivering entertainment in over 35 languages to more than 150 countries. Our Program Managers partner with engineers who build secure, end-to-end solutions. Thanks to Apple’s integration of hardware, software, and services, engineers and Program Managers work toward a unified vision with a deep commitment to Apple’s privacy policy. These teams remain small, flexible, and cross-functional, offering exposure to a broad range of opportunities. The Apple Cloud Services Infrastructure team is seeking a senior engineering program manager to drive the development of our AI platform software stack. You’ll be the connective tissue between infrastructure engineering teams building the foundational systems that power AI/ML development across Apple. Spanning Model Development, Model Serving, and App Serving capabilities, you’ll partner with engineering, product, and business teams to translate platform vision into executable roadmaps. You’ll also drive alignment across complex technical dependencies and ensure we deliver integrated infrastructure that scales. About You You are an ambitious individual who is proactive and able to work under minimal supervision at a detailed level while considering interdependencies at higher levels. You can coordinate multiple projects across locations. You have excellent written and interpersonal skills, pay attention to detail, and are highly organized. You have experience running a complex set of software deliverables with many interdependencies and you have a track record as a strong partner within engineering, design, and leadership. You have excellent communication, organization and leadership skills relevant to our complex environment. Responsibilities Drive cross-functional programs that span Model Development, Model Serving, and App Serving infrastructure. Coordinate dependencies across teams building compute, storage, networking, and platform services. Partner with engineering leads to translate platform strategy into actionable roadmaps with clear milestones, owners, and success criteria. Identify technical and organizational risks early; facilitate alignment and unblock teams through proactive problem-solving. Establish program frameworks that provide visibility to cross-team dependencies, progress, and tradeoffs for leadership decision-making. Collaborate with ML Researchers, ML Engineers, and Platform teams to understand user needs and ensure infrastructure investments map to real jobs-to-be-done. Drive operational rigor across the program lifecycle, from requirements gathering through launch readiness and post-launch iteration. Minimum Qualifications 8 years in technical program management, with significant experience in infrastructure or platform development. Deep understanding of distributed systems, cloud infrastructure, and software development lifecycles. BS in Computer Science, Engineering, or related technical field or related experience. Preferred Qualifications Experience with ML/AI infrastructure: training clusters, model serving, or ML platform tooling. Background in GPU/accelerator infrastructure or high-performance computing. Familiarity with container orchestration (Kubernetes), workflow systems, or distributed data platforms. Experience building developer platforms or infrastructure-as-a-service products. Understanding of ML development workflows: experiment tracking, model registries, pipeline orchestration. Proven ability to drive complex, multi-team technical programs from ambiguity to delivery. Track record of influencing senior engineering leaders and building consensus across organizations with competing priorities. Strong technical acumen and the ability to engage with product and engineering on architecture decisions and tradeoffs. Self-motivated and proactive; demonstrated ability to triage, prioritize, and navigate ambiguity under pressure. Excellent written and verbal communication; ability to translate technical complexity into clear narratives for diverse audiences. Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $203,300 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have opportunities to participate in discretionary stock programs, purchase stock at a discount through the Employee Stock Purchase Plan, and receive benefits including comprehensive medical and dental coverage, retirement benefits, discounts on products and services, and reimbursement for approved educational expenses. This role may be eligible for discretionary bonuses or relocation assistance. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. EEO Statement Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. J-18808-Ljbffr