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Role Responsibilities:
Lead and/or develop and execute complex projects that have a substantial mix of electrical, mechanical, physics, algorithms, and software design; attend design reviews and provide input to meet market requirement specifications (MRS) and hardware/software specifications.
Coordinate with project marketing and management to understand system requirements
Lead architecture brainstorming meetings and drive the systems process to down select to a final architecture of a top-level system
Write detailed specifications that cover all aspects of subsystem modules including interfaces to the product by using systems analysis to create a diagram
Create concepts for complex architectural design approaches
Lead team evaluations of architectures to provide recommendation for best system solution approach. Provide feedback on variety of components and modules.
Identify and troubleshoot a range of complex engineering problems in field of technical expertise, including serviceability and manufacturability.
Support System Integration during the assembly and final testing of new product designs.
Interface with groups to workout design, systems architecture development, and integration issues.
Define all equipment interfaces and systems architecture and insure they are up to date and documented.
Work with vendors to develop new competitive products, including development of key suppliers.
Minimum Qualifications:
Bachelor’s degree
7-10 years of experience
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This role's responsibilities include but are not limited to:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship.
Minimum Qualifications:
Preferred Qualifications:
offer 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:
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Key Responsibilities:
Required Experience:
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:
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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 USD
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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 .

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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 .

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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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Role Responsibilities:
Lead and/or develop and execute complex projects that have a substantial mix of electrical, mechanical, physics, algorithms, and software design; attend design reviews and provide input to meet market requirement specifications (MRS) and hardware/software specifications.
Coordinate with project marketing and management to understand system requirements
Lead architecture brainstorming meetings and drive the systems process to down select to a final architecture of a top-level system
Write detailed specifications that cover all aspects of subsystem modules including interfaces to the product by using systems analysis to create a diagram
Create concepts for complex architectural design approaches
Lead team evaluations of architectures to provide recommendation for best system solution approach. Provide feedback on variety of components and modules.
Identify and troubleshoot a range of complex engineering problems in field of technical expertise, including serviceability and manufacturability.
Support System Integration during the assembly and final testing of new product designs.
Interface with groups to workout design, systems architecture development, and integration issues.
Define all equipment interfaces and systems architecture and insure they are up to date and documented.
Work with vendors to develop new competitive products, including development of key suppliers.
Minimum Qualifications:
Bachelor’s degree
7-10 years of experience
These jobs might be a good fit