NVIDIA

Senior System Software Engineer - Dynamo and Triton Inference Server

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Deep Learning, Software DevelopmentIndustries

Position Overview

  • Location Type: Not Specified
  • Job Type: Full time
  • Salary: $184,000 - $356,500 USD (plus eligibility for equity and benefits)

NVIDIA is seeking a Senior System Software Engineer to contribute to the development of Dynamo & Triton Inference Server within its GPU-accelerated deep learning software team. This role involves building back-end services and software to simplify the design and deployment of AI models, leveraging the power of GPUs for AI breakthroughs.

Responsibilities

  • Develop open-source software for serving inference of trained AI models on GPUs.
  • Build robust, scalable, and high-performance software components for distributed inference workloads.
  • Collaborate with team leads to prioritize features and capabilities.
  • Implement load balancing for asynchronous requests across available resources.
  • Optimize prediction throughput under latency constraints.
  • Integrate the latest open-source technologies.

Requirements

  • Master's or PhD degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
  • 8+ years of experience in a relevant field.
  • Proven ability to work effectively in a fast-paced, agile team environment.
  • Excellent programming skills in Rust, Python, and/or C++.
  • Strong software design skills, including debugging, performance analysis, and test design.
  • Experience with high-scale distributed systems and ML systems.

Qualifications to Stand Out

  • Prior experience in improving the performance of AI inference systems.
  • Background in deep learning algorithms and frameworks, particularly Large Language Models and frameworks like PyTorch, TensorRT, and ONNX Runtime.
  • Experience building and deploying cloud services using HTTP REST, gRPC, protobuf, JSON, and related technologies.
  • Familiarity with the latest AI research and efficient implementation methods.

About NVIDIA

NVIDIA is recognized as a highly desirable employer, known for its expert and passionate workforce. We encourage creativity and autonomy, and we thrive on tackling challenges. Join us in building the real-time, efficient computing platform that drives our success in the rapidly growing fields of Deep Learning and Artificial Intelligence.

Application Instructions

NVIDIA accepts applications on an ongoing basis.

Company Information

NVIDIA is committed to fostering a diverse and inclusive work environment and is an equal opportunity employer. We value diversity in our employees and do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Skills

Rust
Python
C++
Distributed Systems
ML Systems
Performance Optimization
Open Source Technologies
AI Inference
Deep Learning
PyTorch
TensorRT
ONNX Runtime
HTTP REST
gRPC
protobuf
JSON

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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