NVIDIA
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Forward Deployed Architect
October 24
NVIDIA
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
📋 Description
• Work across multiple strategic customer engagements to provide architectural direction, ensure alignment to business outcomes, and guide teams toward optimal technical approaches • Collaborate with customers and internal teams to grasp customer goals, significance, and effective technical strategies. • Guide Forward Deployed Engineers and customer teams on complex technical decisions, system architectures, and implementation strategies to ensure successful outcomes • Identify common technical challenges, use cases, and solution approaches across projects. • Share findings with internal teams and the external community to improve AI implementation practices. • Develop and advocate for standardized approaches, guidelines, and structured advice rooted in proven patterns from successful customer implementations • Dive into complex technical challenges hands-on keyboard when needed to solve critical problems, validate architectures, or demonstrate solutions • Collaborate closely with product, engineering, and customer success teams to ensure findings from customer engagements inform internal strategy and capabilities • Design technical strategies for sophisticated AI workloads including distributed training, inference optimization, and complex MLOps pipelines that can be applied across multiple customers
🎯 Requirements
• 12+ years of experience in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting working across multiple customers or projects • Strong technical leadership with proven ability to guide teams and influence technical decisions without direct authority • Systems thinking with ability to understand customer business outcomes and translate them into effective technical approaches • Ability and willingness to prototype and help implement solutions hands-on keyboard when needed to solve critical problems or validate approaches • Exceptional communication skills with ability to engage technical teams, executives, and cross-functional stakeholders effectively • Bachelors degree or equivalent experience
🏖️ Benefits
• equity • benefits
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