Solutions Architect, Inference Deployments
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking experienced professionals for Level 3 and Level 4 roles to lead architecture discussions, co-design scalable inference systems, and deploy speech and action models for robotics and automation on edge and cloud environments.
You will optimize synthetic data workflows, guide production inference deployments, evaluate model optimization methods, and drive customer and field enablement through deployment recipes and operating guides.
Applications for this job will be accepted at least until October 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
Key responsibilities
- Lead architecture discussions with customers and co-design scalable inference systems with product and engineering teams, defining technical direction, integration milestones, and deployment plans across edge and cloud environments.
- Deploy, test, and profile speech and action models for robotics and automation on edge devices while optimizing latency, throughput, and memory use within device constraints.
- Lead optimization of synthetic data workflows spanning generation, augmentation, filtering, and data movement to improve throughput and cost per usable output while preserving data quality.
- Guide production inference deployments, including configuration, monitoring, capacity planning, performance testing, release validation, and rollback, resolving complex issues across models, runtimes, and infrastructure.
- Evaluate model optimization methods, including quantization, kernel selection, and batching, to validate application quality, explain performance tradeoffs, and inform product and engineering priorities.
- Drive customer and field enablement through deployment recipes, demos, onboarding materials, and operating guides that help teams adopt and scale NVIDIA technologies.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 5+ years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of direct, hands-on experience in AI inference or ML systems.
- Deep expertise in AI/ML and GPU inference, with a track record of driving product integrations and delivering production systems across edge or cloud environments.
- Hands-on experience building AI agents and working with Linux systems, containers, and at least one inference runtime or ML framework.
- Demonstrated expertise in performance profiling and production deployment, including monitoring, troubleshooting, and designing repeatable benchmarks.
- Ability to explain complex technical concepts clearly to technical and non-technical audiences, from engineers to C-level executives.
- Strong problem-solving skills, intellectual curiosity, commitment to learning, and a track record of building trusted customer and partner relationships.
Nice to have
- Technical contributions demonstrating clear approaches to complex problems and measurable improvements in performance or production reliability.
- A history of enabling customer adoption with technical recommendations that influenced product or engineering decisions and delivered production results.
- Hands-on experience with NVIDIA Jetson, TensorRT Edge-LLM, Nemotron Speech, NVIDIA Riva, ROS 2, or NVIDIA Isaac in voice or robotics deployments.
- Experience with synthetic data generation or workflow orchestration using NVIDIA Cosmos or comparable tools.
- Experience with containerized inference, TensorRT-LLM, TensorRT, Triton Inference Server, vLLM, SGLang, or NVIDIA Dynamo.
Benefits
- Base salary range of 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and peer pay.
- Eligibility for equity and benefits.
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years through innovation and amazing people.
Today, we tap into the unlimited potential of AI to define the next era of computing, using our GPU as the brains of computers, robots, and self-driving cars.
As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work and make a lasting impact on the world.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
