Devops Architect Professional Services jobs
Ebay Sr Product Manager Digital Services AI United States, Texas, Austin
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As a Senior Product Manager, you will define and own the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What you will accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$108,000 - $186,900These jobs might be a good fit
Ebay Sr Product Manager Digital Services AI United States, Texas, Austin
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As a Senior Product Manager, you will define and lead the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What You Will Accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Exceptional leadership, communication, and collaboration skills across technical and non-technical teams.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$124,000 - $208,300Unity 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 .
Nvidia Solutions Architect AI Infrastructure United States, Texas
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- US, CA, Santa Clara
- US, TX, Remote
- US, CO, Remote
- US, WA, Remote
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you'll be doing:
Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.
Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up ofserver/network/clusterdeployments.
Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.
Building custom demonstrations and proofs of concept to address critical business needs.
Analyzing and debugging compute/network performance issues.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.
5+ years of experience in Solution Engineering or similar roles.
System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling).
Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.
Effective time management and ability to balance multiple tasks.
Excellent communication skills for articulating ideas and code clearly through documents and presentations.
Ways to stand out from the crowd:
External customer-facing skills and experience.
Experience with the bring-up and deployment of large clusters.
Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers.
Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, InfiniBand), and/or ARM CPU solutions.
Familiarity with virtualization technology concepts.
You will also be eligible for equity and .
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As a Senior Product Manager, you will define and own the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What you will accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$108,000 - $186,900These jobs might be a good fit
