Senior Deep Learning Software Engineer, Inference at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI)
5+ years of relevant software development experience
Excellent C/C++ programming and software design skills (SW Agile skills helpful, Python experience a plus)
Prior experience with training, deploying or optimizing the inference of DL models in production (plus)
Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU (plus)
GPU programming experience (CUDA, OAI TRITON or CUTLASS) (plus)

Responsibilities

Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI
Scale performance of DL models across different architectures and types of NVIDIA accelerators
Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions
Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions
Design, build, and optimize GPU-accelerated software for AI applications
Implement the latest algorithms for public release in frameworks like SGLang and vLLM, and other DL frameworks
Identify and drive performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators
Use open-source tools and plugins (CUTLASS, OAI Triton, NCCL, CUDA kernels) to implement and optimize model serving pipelines

Skills

Key technologies and capabilities for this role

C/C++PythonCUDACUTLASSOAI TritonNCCLSGLangvLLMFlashInferDeep LearningLLMGenerative AIGPUPerformance Optimization

Questions & Answers

Common questions about this position

What is the salary for this Senior Deep Learning Software Engineer role?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. NVIDIA offers highly competitive salaries.

What benefits does NVIDIA offer?

NVIDIA provides a comprehensive benefits package.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for this role?

A Masters or PhD or equivalent experience in a relevant field like Computer Engineering, Computer Science, EECS, or AI is required, along with 5+ years of relevant software development experience and excellent C/C++ programming and software design skills. Python experience is a plus, as are GPU programming skills with CUDA, OAI Triton, or CUTLASS.

What makes a candidate stand out for this position?

Candidates stand out by contributing to deep learning software projects like PyTorch, vLLM, and SGLang, experience with Multi GPU Communications such as NCCL or NVSHMEM, and prior experience with training, deploying, or optimizing DL models, performance modeling, profiling, and GPU programming.

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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