Senior Software Engineer, Deep Learning Inference - New HW Enablement at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI)
At least 8 years of relevant software development experience
Strong C++ skills, including knowledge of and application of best practices with C++11 and C++14
Familiarity with deep learning concepts and frameworks
A track record of taking initiative and driving projects to completion
Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems
Ways to stand out
Proficiency with Python and/or CUDA, ideally with experience in a professional environment
Background with systems programming, embedded systems, and/or compiler development
Experience in software performance benchmarking, profiling, and optimizations
Experience with state-of-the-art deep learning models (such as Large Language Models) & frameworks for inference
Background with C++17

Responsibilities

Orchestrate the integration of new hardware functionalities into TensorRT's compiler and runtime
Work closely with teams and stakeholders across the whole hardware and software stack to understand and leverage new features to improve TensorRT’s functionality and performance
Guide the design and implementation of robust, high-quality C++ code in alignment with Modern C++ standards
Contribute to the continuous improvement of software practices and processes within the team

Skills

C++

Modern C++

Python

CUDA

Deep Learning

Compiler

Runtime

Systems Programming

Embedded Systems

Performance Benchmarking

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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