Asic Power Architect jobs
Nvidia Senior Solutions Architect GPU - Cloud Service Providers United States, Texas
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- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Today
- job requisition id
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Solutions Architect - Cloud AI United States, Texas
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- US, WA, Redmond
- US, WA, Remote
- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
What You'll Be Doing:
Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.
Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See:
4+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
Passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
You will also be eligible for equity and .
These jobs might be a good fit
Unity Principal Workday Architect United States, Oregon
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What you'll be doing
- Lead the design of complex Workday integrations with other enterprise systems, ensuring data integrity and seamless information flow.
- Translate complex business requirements into detailed functional and technical design specifications for Workday configurations and integrations.
- Identify opportunities for process improvement and optimization within Workday to enhance efficiency and user experience.
- Troubleshoot complex Workday issues and provide expert-level support.
- Partner closely with Finance, HR, IT, and other business stakeholders to understand their needs and translate them into Workday solutions
- Progressive experience in ERP implementation, configuration, and support.
- Extensive experience as a Workday Architect or Lead Consultant with a strong focus on large-scale enterprise deployments.
- Deep expertise in Workday Financial Management: Extensive hands-on experience with at least 5+ modules (e.g., GL, AP, AR, FA, Expenses, Projects, Grants, Planning, Accounting, Procurement).
- Extensive experience with Workday Human Capital Management (HCM): Strong understanding of Core HCM, Benefits, Payroll, Absence, Talent Management, Compensation, and Recruiting.
- Demonstrated experience in designing, building, and maintaining Adaptive Planning models, reports, and dashboards.
- Demonstrated experience with Workday integrations (EIB, Core Connectors, Cloud Connect for Third-Party Payroll, Workday Studio).
- Experience with Workday reporting and analytics (e.g., Custom Reports, Dashboards, Discovery Boards).
- Experience in Financial accounting - other ERPs (SAP, Oracle, Peoplesoft, Dynamics 365)
- In-depth understanding of Workday's security model and its application across various modules.
- Proactive, self-motivated, and results-oriented.
- Ability to manage multiple priorities and projects simultaneously.
- Workday certifications in Financials, HCM, and/or Adaptive Planning
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
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$156,000—$234,000 USDThese jobs might be a good fit
Nvidia Senior Solution Architect - IGX Jetson United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Collaborating with business development in guiding the customer through the solution adoption process for our Metropolis, Isaac and IGX AI SW platforms, GPU Computing and IGX/Jetson, being responsible for the technical relationship and assisting customers in building creative solutions based on NVIDIA
Be an industry leader with vision on integrating NVIDIA technology into intelligent machines’ architectures
You will engage with customers to develop a keen understanding of their goals, vision and plans, as well as technical needs – and help to define and deliver high-value solutions that meet these needs
Train customers on the adoption of our AI platforms, develop and optimize proof of concepts using the Nvidia robotics and Metropolis platforms as well as the Jetson/IGX SDKs
Establish positive relationships and communication channels with internal teams
What we need to see:
BS or MS in Electrical Engineering or Computer Science or equivalent experience
8+ years of work-related experience in a high-tech electronics industry in a similar role as a systems or solution architect
AI practitioner experience
C, C++, and Python coding
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects
Ways to stand out from the crowd:
NVIDIA GPU development experience
Experience with Omniverse, ISAAC and Metropolis
Experience with generative AI on Jetson or IGX, RIVA, VSS
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior CPU Power Architect United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Pre-silicon Power Estimation: Model and estimate CPU power at C-model, RTL, and netlist stages using industry-standard tools.
Power Optimization: Identify inefficiencies and drive design improvements in collaboration with architects, RTL designers, and PD engineers.
Test Development: Create targeted power characterization tests (e.g., peak power, di/dt stress patterns) for both simulation and silicon.
Silicon Validation: Measure CPU power and performance in the lab; correlate silicon results with pre-silicon estimates to refine models.
Cross-functional Collaboration: Partner with multiple engineering disciplines to achieve optimal power efficiency without compromising performance.
What we need to see:
BS/MS in EE, CE, or CS or equivalent experience.
3+ years of experience working in ASIC power measurement and optimization.
Strong understanding of leakage and dynamic power in VLSI circuits
Experience with RTL and netlist power analysis tools such as Power Artist, PrimeTime PX, or equivalent.
Familiarity with CPU microarchitecture (CPU pipeline design, out-of-order execution, cache hierarchy, branch prediction) and understanding of microarchitectural power model.
Ways to stand out from the crowd:
Proficiency in Python for automation and data analysis.
Experience with DVFS, clock gating, power gating, and multi-voltage domain design.
Knowledge of lab instrumentation for power measurement.
Strong communication skills for cross-team technical discussions.
You will also be eligible for equity and .
These jobs might be a good fit
MongoDB Senior Solutions Architect United States, California, San Francisco
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- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
MongoDB Product Suite Mastery
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
These jobs might be a good fit
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 USDThese jobs might be a good fit
Share
- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Today
- job requisition id
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
These jobs might be a good fit
