Experience Requirements:

• Strong TypeScript and React skills

• Experience scaling React codebases

• Experience implementing smooth animations

• Familiarity with Next.js and Tailwind

• A strong sense of design craft

Other Requirements:

• Strong design sensibility

• Based in or around Palo Alto, CA

Responsibilities:

• Build and own core UI surfaces

• Write clean, maintainable component code

• Collaborate with design to translate concepts into interfaces

• Optimize performance for loads and interactions

• Identify product improvements

Benefits:

• Equity

• Comprehensive health benefits

• Collaborative office culture

Experience Requirements:

• 5+ years experience building consumer-facing iOS apps

• Strong proficiency in Swift

• Familiarity with SwiftUI

• Experience working on UI/UX with modern frameworks

• Proven ability to contribute high-performance code

Other Requirements:

• Excellent problem-solving skills

• Knowledge of graphics and media frameworks

• Collaborative mindset

Responsibilities:

• Build groundbreaking tools for creators

• Empower users to tell stories

• Scale mobile efforts

• Contribute with high levels of design-consistency

• Collaborate on building and launching together

Responsibilities:

• Manage external supply chain engineering

• Coordinate manufacturing processes

Responsibilities:

• Develop quantitative trading models

• Implement complex algorithms

Responsibilities:

• Lead large scale software architecture

• Mentor engineering teams

Responsibilities:

• Product development for frozen snacks

• Lead R&D experiments

Responsibilities:

• Design and execute user studies

• Analyze qualitative and quantitative data

Experience Requirements:

• Senior level experience

Responsibilities:

• Build scalable backend services

• API design and implementation

Responsibilities:

• Support design workflows

• Assist in UI prototyping

Responsibilities:

• Oversee home product quality standards

• Manage QA protocols

Experience Requirements:

• Early career experience

Responsibilities:

• Develop web applications

• Support both frontend and backend systems

Benefits:

• 10 benefits

Responsibilities:

• Analyze product performance

• Generate product insights

Responsibilities:

• Financial modeling

• Investment analysis

Benefits:

• Equity

• Health benefits

Education Requirements:

• Masters in Computer Science/Electrical Engineering or equivalent experience

Experience Requirements:

• 8+ years machine learning/deep learning research or practical experience

• 7+ years leadership background

• 15+ years industry experience

• 10+ years validated expertise in embedded software sector

Other Requirements:

• PhD or equivalent experience in a relevant field

• Leadership role in production deployment of Smart Spaces

• Deep experience with CV, LLMs, VLMs, GenAI Models

Responsibilities:

• Lead and develop engineering and data teams distributed across Europe, Asia and the United States

• Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy

• Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks

• Collaborate with major Metropolis OEMs and Partners to architect optimized custom models

• Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf

Benefits:

• Equity

• Health benefits

Education Requirements:

• Master's degree or equivalent experience in Electrical Engineering or related field

Experience Requirements:

• 5+ years of experience in EMIR flow methodology development and support

Other Requirements:

• Experience in crafting custom workflows from scratch

• Experience using AI tools to improve capabilities in the power integrity domain

Responsibilities:

• Developing physical design methodologies for rail analysis and signoff

• Creating solutions for pioneering IR analysis and signoff

• Crafting workflows and tool methodologies for power and noise analysis

Benefits:

• Competitive salaries

• Comprehensive benefits package

• Equity

Education Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience

Experience Requirements:

• 5+ years of relevant experience

Other Requirements:

• Experience with CUDA programming and NVIDIA GPUs

• Knowledge of high-performance networks like InfiniBand

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow

Responsibilities:

• Design and maintain highly-optimized communication runtimes for Deep Learning frameworks

• Participate in parallel programming interface specifications like MPI/OpenSHMEM

• Implement system software enabling interactions among GPUs

• Create proof-of-concepts to evaluate extensions in programming models

Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields

Experience Requirements:

• 3+ years of Solutions Engineering experience

• 3+ years of work-related experience in Deep Learning and Machine Learning

Other Requirements:

• AWS, GCP or Azure Professional Solution Architect Certification

• Hands-on experience with NVIDIA GPUs and SDKs (CUDA, RAPIDS, Triton)

• Knowledge of DevOps/ML Ops technologies such as Docker and Kubernetes

Responsibilities:

• Working with Cloud Service Providers to develop ML/DL solutions

• Build and deploy AI/ML solutions at scale on cloud-based GPU platforms

• Build custom PoCs for solutions addressing critical business needs

• Partner with Sales Account Managers to identify new business opportunities

• Prepare and deliver technical content and workshops to customers

Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields

Experience Requirements:

• 3+ Years in Solutions Architecture

• 3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow

Other Requirements:

• Active contributions to open-source AI inference projects

• Experience optimizing and deploying large MoE LLMs at scale

• Experience with Multi-GPU Multi-node Inference technologies

Responsibilities:

• Help cloud customers craft and maintain GPU-accelerated inference pipelines

• Enhance performance tuning using TensorRT, vLLM, and Triton Inference Server

• Offer technical mentorship to cloud customers implementing AI inference at scale

• Build custom PoCs for solutions addressing business needs

• Partner with Sales Account Managers to identify new business opportunities

Education Requirements:

• Practical Engineer or Technician in Electronic

Experience Requirements:

• At least 2 years of hands-on experience in a hardware lab environment

Other Requirements:

• Experience working with high-speed interfaces (PCIe, Ethernet, SerDes)

• Familiarity with thermal/mechanical test setups

• Experience with test automation

Responsibilities:

• Be the group labs manager

• Support the group for logistics and purchase orders

• Perform hands-on board bring-up, validation, and debugging activities

• Operate lab equipment in time and frequency domains

• Support hardware investigations by reading schematics and analyzing layouts

Education Requirements:

• Bachelor's Degree preferred

Experience Requirements:

• 2 – 3 years successful sales experience

• Experience and knowledge of solution-based selling

• Proficiency with Salesforce, ZoomInfo and LinkedIn Sales Navigator

Other Requirements:

• IT/Business Training industry knowledge preferred

Responsibilities:

• Sell and close business for products including Subscriptions and Prepays

• Achieve targeted pipeline and quota goals

• Establish and grow presence within assigned accounts

• Determine customer business drivers and objectives

• Collaborate with Account Executives to sell within shared customers