Solutions Architect

We are designing, building, and continuously improving agentic LLM applications targeting Telco Network Operations and Autonomous Networks-covering orchestration, tool use, memory, and multi-agent coordination patterns-while evaluating and applying the latest advances in model fine-tuning and customization for telecom-specific corpora including network telemetry, logs, SNMP, NetFlow/IPFIX, and streaming time-series data.

• Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack, including NIMs and NeMo microservices.
• Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner and customer point of contact for integration challenges.
• Anticipate partner and customer needs across the adoption lifecycle, identify enablement opportunities that accelerate GenAI utilization, and translate those insights into reference architectures for Agentic AI in Telco-documenting design trade-offs, standard practices, and failure modes, then feeding findings systematically back to product and engineering.
• Advise on high-performance ETL pipeline design for telecom data: scalable, real-time ingestion workflows using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for high-volume telemetry and event streams.

We are looking for someone with a strong engineering foundation and genuine curiosity about both AI and networking. Here is what matters most to us:

• MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or equivalent experience building real systems-with 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) and orchestration frameworks like LangChain or LlamaIndex, paired with solid deep learning fundamentals.
• Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep learning framework.
• Real familiarity with Telco network data-telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams-paired with hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas.
• The communication skills to talk technical trade-offs with engineers and outcomes with business partners - often in the same conversation., These are not requirements - they are signals that you have already been operating in the space we work in every day:
• Experience with NVIDIA AI Enterprise software: Morpheus, RAPIDS, NeMo, and NIM.
• Agentic framework fluency: LangGraph, AutoGen, NVIDIA Colang 2.0, or similar multi-agent tools.
• 5G / 6G and O-RAN depth: Next-generation Telco architecture spanning 5GC, Open RAN, network slicing, MEC, and 3GPP standards (Rel. 15-18), combined with O-RAN automation including xApps, rApps, RIC, SDN/NFV, and protocols such as NETCONF, gNMI, and RESTCONF.
• MLOps and DevOps: Kubernetes, Docker, Helm, Jupyter-based automation pipelines.
• Infrastructure awareness around NVIDIA InfiniBand or high-speed Ethernet for distributed model serving., Apache Spark, Artificial Intelligence (AI), C++ Programming Language, Communication Skills, Computer Science, Conferences, Continuous Improvement, Customer Relations, Data Science, Database Extract Transform and Load (ETL), Deep Learning, Distributed Computing, Documentation, Elasticsearch, Electrical Engineering Software, Ethernet, Graphics, Large-Scale Systems, Memory Hardware, Microservices, Natural Language Processing (NLP), Netflow, Network Administration/Management, NoSQL, Onboarding, Open Source, Product Engineering, Python Programming/Scripting Language, Robotics, SNMP (Simple Network Management Protocol), SQL (Structured Query Language), Software Engineering, Technical Leadership, Telecommunications, Telemetry, Willing to Travel

Preference is for candidates based at NVIDIA HQ. Remote candidates will be considered. Up to 40% travel may be required for on-site customer engagements and industry conferences.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture NVIDIA is widely considered to be one of the technology industry’s most desirable employers! NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

NVIDIA Corp

Visualize your future . . . We Do NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA’s culture promotes and inspires a team of world-class employees to be at the top of their game. We’ve created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

Company Size: 10,000 employees or more