NVIDIA

1 week ago

System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and evolve GPU-accelerated AI inference serving software for Dynamo-Triton Inference Server. Contribute to feature development to drive broad adoption while working on a unified, high-performance inference platform that brings Triton and NVIDIA Dynamo into feature parity for both LLM and non-LLM workloads. Optimize for production and cloud deployment, improving throughput and latency, and actively participate in the open source Triton community.

Location: Santa Clara, California

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Entry level

Key Responsibilities

•Develop world-class GPU-accelerated AI inference serving software.
•Contribute to feature development and drive broad customer adoption.
•Converge the Triton Inference Server and NVIDIA Dynamo stacks into a unified, high-performance inference platform for LLM and non-LLM workloads.
•Actively participate in the open source deep learning software engineering community.
•Build robust production-ready software and optimize prediction throughput and latency for server or cloud environments.

Pay and Benefits

Salary: USD 124,000 - 241,500 annually

Equity and Bonus:Equity

Key Requirements

•Pursuing or recently completed an MS or PhD in Computer Science (or related field) or equivalent experience.
•Excellent Rust or C++ skills, with familiarity with Python.
•Strong programming and 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.

Experience:AIDeep learningDistributed systemsMLInference

Education:Master's in Computer Science

Skills:CommunicationCollaborationAgile teamwork

Tech Stack:RustC++PythonDynamo-Triton Inference ServerTriton Inference ServerNVIDIA DynamoTensorRTPyTorchONNXOpenVINOVLLMTRT-LLMGitHub

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: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 week ago

System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Santa Clara, California

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Entry level

Key Responsibilities

•Develop world-class GPU-accelerated AI inference serving software.
•Contribute to feature development and drive broad customer adoption.
•Converge the Triton Inference Server and NVIDIA Dynamo stacks into a unified, high-performance inference platform for LLM and non-LLM workloads.
•Actively participate in the open source deep learning software engineering community.
•Build robust production-ready software and optimize prediction throughput and latency for server or cloud environments.

Pay and Benefits

Salary: USD 124,000 - 241,500 annually

Equity and Bonus:Equity

Key Requirements

•Pursuing or recently completed an MS or PhD in Computer Science (or related field) or equivalent experience.
•Excellent Rust or C++ skills, with familiarity with Python.
•Strong programming and 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.

Experience:AIDeep learningDistributed systemsMLInference

Education:Master's in Computer Science

Skills:CommunicationCollaborationAgile teamwork

Tech Stack:RustC++PythonDynamo-Triton Inference ServerTriton Inference ServerNVIDIA DynamoTensorRTPyTorchONNXOpenVINOVLLMTRT-LLMGitHub

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor