Senior Solutions Architect, Robotics Infrastructure job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Robotics Infrastructure Senior Solutions Architect, Robotics Infrastructure position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Senior Solutions Architect, Robotics Infrastructure
Experience: General
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Robotics Infrastructure

Copy Link Report
degreeGeneral
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

We're building a group of innovators to assist enterprises in deploying and accelerating NVIDIA’s three computer workloads for Physical AI. These include robotics simulation, synthetic data generation, multi-step model training, and inference, all on a large scale! We are seeking a hands-on Solutions Architect with deep expertise in backend infrastructure, inference and cloud-native applications to design and scale Kubernetes-native environments for distributed AI/ML workloads. This role offers an outstanding chance to build within the rapidly growing field of Robotics AI & Simulation. You’ll work closely with our product management, engineering, and business teams to drive the adoption of NVIDIA's groundbreaking Physical AI technologies with our key ecosystem partners! What you'll be doing: Support customers in building scalable and observable GPU-accelerated pipelines for key robotics workloads using Kubernetes, cloud-native technologies, and NVIDIA frameworks (OSMO, Dynamo) across heterogeneous infrastructure. Develop a deep understanding of robotics workloads scaling and help translate those into optimal architectures for partners Collaborate with DevOps teams to orchestrate data preprocessing, distributed training and inference workloads to optimize job scheduling, costs, storage access, and networking across hybrid and multi-cloud Kubernetes environments (e.g., AWS, Azure, GCP, on-prem). Accelerate inference pipelines using NVIDIA NIM, TensorRT-LLM, vLLM, SGLang, and other engines to enable seamless, disaggregated inference architectures. Collaborate with multi-functional teams (business, engineering, product) and provide technical mentorship to customers implementing Physical AI at scale. What we need to see: 5+ Years of experience in Solution Architecture or Infrastructure Engineering, advancing AI/ML systems from proof of concept to production on private/public cloud environments. Experience with scaling Robotics workloads in one or more areas, such as VLM/VLA model training, model inference, robot learning and simulation, data generation. Strong expertise in networking (DNS, LB, TCP/IP, firewalls), storage technology, workflow orchestration softwares (Airflow, Argo, etc), modern DevOps practices (GitOps, IaC, Observability), and orchestrating efficient GPU workloads using the NVIDIA GPU Operator and MIG. Excellent communication skills to convey technical concepts to diverse audiences. BS in Computer Science, Computer Engineering, or a related field, or equivalent experience. Ways to stand out from the crowd: Proficiency with robotics frameworks (e.g., ROS2) and NVIDIA simulation and AI platforms such as Isaac Lab, Isaac Sim or Cosmos. Experience with AI/ML training workflows and distributed job orchestration using tools like Ray. Deep expertise of transformer networks and experience deploying NVIDIA inference technologies (Dynamo, NIM, Triton, vLLM) using acceleration techniques like quantization. Experience with large scale data curation techniques and optimization Broad technical expertise across networking, compute, and storage systems (e.g., S3, NFS, Lustre), with hands-on experience building and debugging APIs (REST, gRPC) as well as r elevant certifications such as NVIDIA Certified AI Engineer, Certified Kubernetes Administrator (CKA), or Cloud Solutions Architect. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 31, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. 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.

Other Ai Matches

ASIC Physical Design and Timing Engineer - New College Grad 2026 Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Engineer, Deep Learning Inference Applicants are expected to have a solid experience in handling Deep Learning Inference related tasks
Research Engineer Neural Reconstruction - New College Graduate Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Engineer, Soc DPU Platform Applicants are expected to have a solid experience in handling Soc DPU Platform related tasks
Senior Manager, Networking Application Applicants are expected to have a solid experience in handling Networking Application related tasks
Research Scientist, Embodied and Agentic AI - New College Grad 2026 Applicants are expected to have a solid experience in handling Embodied and Agentic AI - New College Grad 2026 related tasks
Senior Product Manager, AI Infrastructure Software Applicants are expected to have a solid experience in handling AI Infrastructure Software related tasks
Manager, Internal Audit Applicants are expected to have a solid experience in handling Internal Audit related tasks
Senior Software Manager, Agentic AI Applicants are expected to have a solid experience in handling Agentic AI related tasks
Senior Software Engineer, GPU Communications and Networking Applicants are expected to have a solid experience in handling GPU Communications and Networking related tasks
Distinguished Engineer – High Performance AI Applicants are expected to have a solid experience in handling Job related tasks
Solutions Architect Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Principal Developer Technology Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Engineer - GPU Platforms Applicants are expected to have a solid experience in handling Job related tasks
Technical Marketing Manager, Memory Technology Applicants are expected to have a solid experience in handling Memory Technology related tasks
Senior Workflow Specialist - Isaac Robotics Applicants are expected to have a solid experience in handling Job related tasks
Senior DFT Verification Engineer Applicants are expected to have a solid experience in handling Job related tasks
PCB Design Layout Engineer Applicants are expected to have a solid experience in handling Job related tasks
Manufacture System Design Engineer Applicants are expected to have a solid experience in handling Job related tasks
Test Development Engineer - DataCenter System Software Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Framework Communications Engineer Applicants are expected to have a solid experience in handling Job related tasks
AI Scientist, Robotics Digital Twins - PhD New College Grad 2026 Applicants are expected to have a solid experience in handling Robotics Digital Twins - PhD New College Grad 2026 related tasks
Treasury Analyst MBA Intern – Summer 2026 Applicants are expected to have a solid experience in handling Job related tasks