
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
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.
🕒 May 27
🏄 California, Colorado, +3 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
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.
• Design and deploy Agentic AI applications that automate real carrier operations • Understand 5G network data • Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack • Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs • Anticipate partner and customer needs across the adoption lifecycle • Identify enablement opportunities that accelerate GenAI utilization • Advise on high-performance ETL pipeline design for telecom data
• MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field—or equivalent experience building real systems • 6+ years developing and deploying AI/ML systems at scale • Hands-on experience building enterprise RAG systems with open-source models (LLaMA, Mistral, or similar) • Orchestration frameworks like LangChain or LlamaIndex • Proficiency in Python • Solid understanding of C++ • Experience with PyTorch or a comparable deep learning framework • Familiarity with Telco network data—telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams • Hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas. • Communication skills to talk technical trade-offs with engineers and outcomes with business partners.
• Highly competitive salaries • Comprehensive benefits package • Excellent engineering work culture
Apply Now🕒 May 27
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