Solutions Architect jobs
Intel AI Software Solutions Engineer United States, California, Santa Clara
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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.
Position of Trust
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:
Annual Salary Range for jobs which could be performed in the US:This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.These jobs might be a good fit
Ebay Transportation Solutions Program Manager United States, Texas, Austin
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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:
$70,000 - $120,700Intel Principal Engineer - Silicon Packaging Architect United States, Texas
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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
Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
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:
Annual Salary Range for jobs which could be performed in the US:Unity Senior Architect Adaptive Planning Workday United States, California, San Francisco
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- Lead the design of complex, scalable Adaptive Planning solutions, ensuring data integrity and seamless information flow.
- Lead the technical solutioning for all major FP&A initiatives, from initial discovery and design through to implementation and post-production support.
- Take ownership of and provide hands-on, on-site support for urgent and business-critical production issues, ensuring swift resolution and minimal business disruption. Lead a junior engineer with day-to-day operations and issue resolution.
- Translate complex business requirements into technical specifications and model architecture, ensuring alignment with overall business strategy. Continuously identify opportunities for process improvements and tool optimization for the FP&A and other business teams.
- Serve as a subject matter expert for business stakeholders, troubleshooting process and technical issues in a timely manner, with a focus on upholding best practices.
- Extensive Adaptive experience, including hands-on experience designing, building and maintaining Adaptive Planning models with a proven portfolio of successfully architected and delivered large-scale, high-impact Adaptive Planning projects.
- Deep expertise in data modeling, system integration, and performance optimization within a sophisticated enterprise environment.
- Strong sense of ownership and accountability with the ability to operate at a high degree of autonomy in a fast-paced, dynamic setting.
- Excellent communication skills with the ability to break down complex requirements and explain complex technical designs and trade-offs to diverse audiences
- A strong desire to learn and be curious with new technologies, including opportunities with AI.
- Adaptive Planning Certification
- Background/experience in Financial Planning and Analysis
- Knowledge of LLM and proven experience with implementation of AI features in finance systems/processes
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$210,000 USDNvidia Senior Deep Learning Architect United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you’ll be doing:
Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
Guide development of future generations of artificial intelligence accelerators and systems.
Develop detailed performance models and simulator infrastructure for computing systems accelerating AI training, and implement and evaluate hardware feature proposals.
Collaborate across the company to guide the direction of machine learning at NVIDIA; spanning teams from hardware to software and research to production.
Drive HW/SW co-design of NVIDIA’s full deep learning platform stack, from silicon to DL frameworks.
What we need to see:
PhD in CS, EE or CSEE and 3+ years; or MS (or equivalent experience) and 6+ years of relevant work experience.
Strong background in computer architecture, with a proven track record of architecting features in shipping high-performance processors.
Background in artificial intelligence and large language models, in particular training algorithms and workloads.
Experience analyzing and tuning application performance on state-of-the-art hardware.
Experience with processor and system-level performance modelling, simulation, and evaluation before silicon exists.
Programming skills in C++ and Python.
Familiarity with GPU computing across all layers of the AI stack, from DL frameworks like PyTorch down to CUDA.
You will also be eligible for equity and .
Nvidia GPU Power Architect - New College Grad United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- time type
- Full time
- posted on
- Posted 4 Days Ago
- job requisition id
What you'll be doing:
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
You will help with Performance vs Power Analysis for NVIDIA future product lineup.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
What we need to see:
Pursuing a MSEE/MSCE, or equivalent experience related to Power / Performance estimation and optimization techniques.
Knowledge of energy efficient chip design fundamentals and related tradeoffs.
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Familiarity with performance monitors/simulators used in modern processor architectures.
You will also be eligible for equity and .
Nvidia Senior Solutions Architect AI Cloud Services United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted 6 Days Ago
- job requisition id
What you’ll be doing:
Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentation, etc.
Ways to stand out from the crowd:
AWS, GCP, Azure or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)
Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
Solid working knowledge of Python
System-level experience, specifically GPU-based systems
You will also be eligible for equity and .
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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.
Position of Trust
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:
Annual Salary Range for jobs which could be performed in the US:This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.These jobs might be a good fit
