Partner Solutions Architect jobs

Responsibilities

• Build strong partnerships with HR and business leaders to understand organizational goals and talent priorities.
• Use data and insights to identify risks, opportunities, and proactive compensation actions.
• Design and execute scalable, globally aligned solutions for compensation challenges.
• Lead formal compensation processes and manage ad-hoc needs such as promotions, retention, and counter-offers.
• Provide tools, resources, and guidance to enable effective compensation decisions.
• Collaborate across the global Rewards team to share best practices and continuously improve.

Attributes for Success

• Strategic thinker with strong analytical skills and attention to detail.
• Collaborative and solution-oriented, with the ability to influence and build trust.
• Comfortable navigating ambiguity and driving outcomes with urgency.
• Bold, creative, and committed to execution excellence.

7-10 years of experience including:

• Proven track record leading large-scale, complex compensation implementations across regions.
• Strong strategic advisory skills , partnering with HR and business leaders to deliver aligned solutions.
• Expertise in market analysis, pay equity, and data-driven decision-making .
• Skilled in global collaboration and navigating compliance requirements.
• Proficient with HRIS/compensation systems (e.g., Workday, SAP) and advanced Excel.

Qualifications:

• Bachelor’s degree in Business, HR, Finance, or related field
• 7-10 years in compensation or rewards with experience in complex, global implementations .
• Advanced analytical and Excel skills ; proficiency with HRIS/compensation systems (Workday, SAP).
• Strong strategic thinking, collaboration, and influencing skills .
• Ability to navigate ambiguity , ensure compliance, and deliver scalable solutions.

The Applied Machine Learning group is responsible for innovation and development of end-to-end AI solutions, technology proof of concepts, and IP development of current and future ML workloads for Intel architecture and silicon serving consumer and corporate business requirements.

In this position, you will be responsible for research, modeling, prototyping, productizing of ML techniques, generating data insights and optimizations for Intel platforms.

Responsibilities include but are not limited to:

• Builds machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
• Uses or develops machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, generative AI, large language model and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Natural Language Processing, Recommendation System, Graph Neural Network, Robotics, etc.
• Interacts with users to define requirements for breakthrough product/solutions.
• In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software.
• Completes programming, testing, debugging, documentation and/or deployment of the solution/products.
• Engineers big data computing frameworks, data modeling and other relevant software tools.
• You will play a key technical role for end-2-end machine learning and deep learning platform development based on various frameworks and hardware (such as CPU, GPU, accelerators).
• You will also be responsible for developing AI ML solutions and methodologies to bring the best performance, accuracy, efficiency, and ease-of-use to customers by working with internal and external partners.

The job scope may include but not limited to:

• End-2-end ML and DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper-parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving.
• Algorithm and model development of advanced technologies in computer vision, natural language processing, large language model, recommendation, graph analytics, reinforcement learning, and other domains.
• Machine learning framework and workload performance profiling, optimization, insights generation for benchmark such as MLPerf as well as real-world customer use cases.
• Software and tools development in python, C++, and other languages as required.

Behavioral traits that we are looking for:

• Excellent communication skills.
• Willing to clearly communicate technical details and concept.

Minimum qualifications,you must possess the below minimum qualifications to be initially considered for this position:

• Master´s degree with 4+ years or Ph.D. with 2+ years of experience in: Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related STEM disciplines

4+years of the following technical skills:

• Experience in deep learning frameworks such as PyTorch, TensorFlow, working on CPU / GPU / AI accelerators for ML/DL.
• Experience in GenAI frameworks such as transformers, PEFT, diffusers, TGI, TEI, vLLM or SGLang for both training finetuning and inference serving.
• Working with Performance optimization / tuning.
• Experience in computer vision, recommendation, natural language processing, or reinforcement learning.

Preferred qualificationsare in addition to the minimum requirements and are considered a plus factor in identifying top candidates:

• Proven track record of a leadership role in machine learning, deep learning research and applications demonstrated by patents, publications, product delivery, or other means.
• Experience on performance optimization for PyTorch framework, MLPerf benchmark and other SOTA workload.
• Distributed training, DeepSpeed, Torch DDP and FSDP, Ray SGD.
• Inference optimization such as quantization, sparsity, distillation.GenAI end-2-end workflow development and deployment for model serving, RAG and agent system.

Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:

What you will accomplish:

• Lead key changes across the selling, shopping, and shipping experiences for eBay buyers and sellers as new programs are ideated, developed, and scaled across the site.

• Partner with shipping product team to prioritize initiatives that provide a better seller experience. Analyze seller and buyer feedback to prioritize most impactful improvements, and advocate and shepherd those changes into production.

• Be the voice of the customer and build cases to improve the program then drive them to implementation.

• Engage internal subject matter specialists (individuals or teams) to bring deeper understanding of the needs and challenges faced by sellers; and who help advise on or implement the potential solutions.

What you will bring:

• Customer centric – passionate about advocating for customers

• Highly flexible – able to switch gears and accept rapid change in priorities

• Solution oriented – passionate about solving difficult business problems and telling the story behind the numbers

• Cross-functional and collaborative – you communicate optimally with partners and technology teams to lead change

• Hands-on – use peers and leadership to optimally, influence best in class performance from suppliers and internal teams

• Naturally inclined to learning new things – you proactively pursue acquiring new knowledge about your work and enjoy sharing your knowledge with others

• Orchestrate critical initiatives to streamline eBay's shipping experience, enhancing our user efficiency and customer satisfaction.

• Foster collaboration with diverse teams, including product, design, marketing, legal, analytics, finance, and more, to drive these improvements and innovations.

• Champion operational excellence through meticulous planning, analysis, and reporting of shipping projects.

• Oversee the full program lifecycle of eBay's shipping transformation, ensuring it aligns with overarching business objectives.

• Act as the central point of contact for all program-related matters within the shipping experience transformation.

• Craft and implement a robust go-to-market strategy for shipping to improve the overall buying and selling experience.

• Work with internal customers to prioritize shipping enhancements and drive innovative solutions.

• Manage project execution to deliver on-time, within budget, and to scope, while maintaining key partner relationships and providing leadership with regular project updates and data-driven insights for ongoing optimization.

• Experience and success working in program management and/or online commerce

• Strong analytical skills with experience in ability to use research to make data-driven decisions.

• A well-versed understanding of the Shipping experience on eBay both as a buyer and a seller.

• Ability to operate in a fast-paced environment that’s going through tremendous growth and shifting priorities.

• eBay site customer (buyer / seller) and familiarity with eBay flows and processes preferred including current shipping programs offered to customers including desired experience versus perceived experience.

The base pay range for this position is expected in the range below:

Key Responsibilities:

• Lead the co-design of silicon and package, focusing on DDR PHY and mixed signal IP integration for server SOCs.
• Design bump maps, floor plans, and manage area constraints for PHYs, collaborating closely with packaging technical experts.
• Conduct hands-onpackage extractionsand simulations(signal integrity, power integrity)
• Finalize bump-out, floor plan, and area decisions at the end of tech readiness phases.
• Interface with packaging teams on advanced technologies (e.g., C4 bumps, micro bumps, EMIB, hybrid bonding as needed).
• Focus on design, development, and architecture, not process or materials engineering.

Required Experience:

• Experience in both silicon design (preferably mixed signal/analog) and packaging co-design.
• Background in DDR, SOC, or similar high-speed interface development.
• Hands-on expertise with bump mapping, floor planning, and packaging constraints.
• Proven ability to collaborate across silicon and packaging teams, including risk assessment and simulation.
• Familiarity with advanced packaging technologies (hybrid bonding, EMIB, etc.) is a plus but not required.
• Individual contributor or principal engineer level preferred; management experience is not required.
• Experience at leading companies in advanced packaging and PHY design (e.g., Apple, Broadcom, Qualcomm, Micron, AMD, Nvidia).

• Bachelors in electrical engineering, chemical engineering, mechanical engineering, material science or similar field (Master’s or Ph.D. preferred).
• 10+ years in silicon and packaging co-design

Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: