Full-Time

System Software Engineer New Grad

Dynamo-Triton Inference Server

Posted on 7/13/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$124k - $195.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Remote

Category
Software Engineering (1)
Required Skills
LLM
Rust
Python
Neural Networks
C/C++

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People at NVIDIA who can refer or advise you

Requirements
  • Pursuing or recently completed a MS or PhD in Computer Science or related field (or equivalent experience)
  • Excellent Rust or C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design
  • Experience with high-scale distributed systems and ML systems
  • Strong communication skills and ability to work in a fast-paced, agile team environment
Responsibilities
  • Develop world-class GPU-accelerated AI inference serving software
  • Contribute to feature development and drive broad customer adoption
  • Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform. This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads
  • Be an active member of the open source deep learning software engineering community
  • Balance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimizing and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies
Desired Qualifications
  • Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM
  • Knowledge of GPU memory management, cache management, or high-performance networking
  • Experience with distributed systems programming
  • Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

People at NVIDIA

People at NVIDIA who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Vera commercial deployment by fall 2026 unlocks multibillion-dollar data center token revenue beyond GPUs.
  • Pre-production Vera units delivered to Anthropic, OpenAI, and Oracle Cloud for hundreds of thousands of 2026 deployments.
  • Nemotron 3 Ultra achieves benchmark-leading AI performance at 10× lower inference costs than top-tier closed models.

What critics are saying

  • U.S. H20 export ban eliminates $50B China data center market causing $2.5B Q1 loss and $8B Q2 shortfall.
  • Chinese firms shifting 50% of AI chip budgets to domestic makers erodes near-term revenue after 2025 market share collapse.
  • B30 chip remains unapproved under export rules delaying China re-entry by 12+ months allowing Huawei permanent share capture.

What makes NVIDIA unique

  • Vera CPU delivers 1.8× faster agentic AI task completion than x86 with 88 Olympus cores.
  • CUDA software moat sustains 75% gross margin and $48.6B quarterly free cash flow globally.
  • Vera Rubin platform pairs Vera CPUs and Rubin GPUs via NVLink-C2C for >7 exaflops AI performance.

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Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

-1%
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