Senior Developer Technology Engineer - Edge Agentic AI

NVIDIA
United States
Workplace: OnsiteFull timeUSD 152,000 - 241,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Collaboration","Independent work","Mentorship"]

Build and enable agentic AI workflows that run at the edge on NVIDIA RTX and DGX platforms. Partner with internal teams, external developers, and ISVs to solve end-to-end GPU deployment challenges, using profiling and debugging to improve runtime performance. Develop training materials, sample code, and presentations, and enhance open-source LLM/GenAI software (e.g., GGML, Llama.cpp, Ollama, vLLM, ONNX Runtime). Provide technical leadership and mentorship while collaborating with GPU and research teams.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Developer Technology Engineer - Edge Agentic AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build and enable agentic AI workflows that run at the edge on NVIDIA RTX and DGX platforms. Partner with internal teams, external developers, and ISVs to solve end-to-end GPU deployment challenges, using profiling and debugging to improve runtime performance. Develop training materials, sample code, and presentations, and enhance open-source LLM/GenAI software (e.g., GGML, Llama.cpp, Ollama, vLLM, ONNX Runtime). Provide technical leadership and mentorship while collaborating with GPU and research teams.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate across engineering and product teams and with external developers/ISVs to solve local, end-to-end agentic AI GPU deployment challenges on NVIDIA RTX and DGX.
  • •Use profiling and debugging tools to analyze demanding accelerated agentic AI workflows and improve system utilization and runtime performance.
  • •Create trainings, sample code, and presentations to guide efficient end-to-end agentic AI deployment for optimal runtime performance.
  • •Improve LLM and GenAI user experience by contributing performance and feature enhancements to open-source software (e.g., GGML, Llama.cpp, Ollama, vLLM, ONNX Runtime).
  • •Provide technical leadership and mentorship to junior engineers while collaborating with GPU driver/architecture and research teams.
  • •Travel for conferences and on-site partner visits as needed.
Travel: Low travel

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Perks:EquityBenefits

Key Requirements

  • •5+ years of professional experience in local GPU deployment, profiling, and optimization.
  • •Bachelor's or Master's degree (or equivalent experience) in Computer Science, Engineering, or related field.
  • •Strong proficiency in C/C++ and Python, with solid software design and programming techniques.
  • •Experience developing on Windows and Linux platforms.
  • •Experience with CUDA and NVIDIA Nsight GPU profiling and debugging suite.
Experience:5+ yearsAgentic AILLMGPU deploymentOpen-source softwareEdge AI
Education:Bachelor's in Computer Science, Engineering, or related field
Skills:Problem-solvingCommunicationCollaborationIndependent workMentorship
Tech Stack:CC++PythonCUDANVIDIA NsightWindowsLinuxRTXDGXGPU driverGGMLLlama.cppOllamaVLLMONNX RuntimeTensorRT-RTXCuDNNNVIDIA Model Optimizer

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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