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Urgent! Solutions Architect, Inference Deployments Job Opening In Santa Clara – Now Hiring NVIDIA
We’re forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA’s GPU technology and Kubernetes.
As a Solutions Architect (Inference Focus), you’ll collaborate closely with our engineering, DevOps, and customer success teams to foster enterprise AI adoption.
Together, we'll introduce generative AI to production!
What you'll be doing:
+ Help customers craft, deploy, and maintain scalable, GPU-accelerated inference pipelines on Kubernetes for large language models (LLMs) and generative AI workloads.
+ Enhance performance tuning using TensorRT/TensorRT-LLM, NVIDIA NIM, and Triton Inference Server to improve GPU utilization and model efficiency.
+ Collaborate with multi-functional teams (engineering, product) and offer technical mentorship to customers implementing AI at scale.
+ Architect zero-downtime deployments, autoscaling (e.g., HPA or equivalent experience with custom metrics), and integration with cloud-native tools (e.g., OpenTelemetry, Prometheus, Grafana).
What we need to see:
+ 5+ Years in Solutions Architecture with a proven track record of moving AI inference from POC to production on Kubernetes.
+ Experience architecting GPU allocation using NVIDIA GPU Operator and NVIDIA NIM Operator.
Troubleshoot sophisticated GPU orchestration, optimize with Multi-Instance GPU (MIG), and ensure efficient utilization in Kubernetes environments.
+ Proficiency with TensorRT-LLM, Triton, and TensorRT for model optimization and serving.
+ Success stories optimizing LLMs for low-latency inference in enterprise environments.
+ BS or equivalent experience in CS/Engineering.
Ways to stand out from the crowd:
+ Prior experience deploying NVIDIA NIM microservices for multi-model inference.
+ Serverless Inference, knowledge of FaaS patterns (e.g., Google Cloud Run, AWS Lambda, NVCF) with NVIDIA GPUs.
+ NVIDIA Certified AI Engineer or similar.
+ Active contributions to Kubernetes SIGs or AI inference projects (e.g., KServe, Dynamo, SGLang or similar).
+ Familiarity with networking concepts which support multi-node inference such as MPI, LWS or similar.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 148,000 USD - 235,750 USD.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until August 14, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Unlock Your Solutions Architect Potential: Insight & Career Growth Guide
Real-time Solutions Architect Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Solutions Architect in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 38808 jobs in United States and 448 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Solutions Architect roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Solutions Architect, Inference Deployments to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Solutions Architect, Inference Deployments Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Solutions Architect, Inference Deployments Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Solutions Architect, Inference Deployments typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Solutions Architect, Inference Deployments interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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