Senior Deep Learning Software Engineer

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates should possess a Master’s, PhD, or equivalent experience in Computer Science, AI, Applied Math, or a related field, with 8+ years of relevant work or research experience in Deep Learning. Strong software design skills, including debugging, performance analysis, and test design are required, along with proficiency in Python, PyTorch, and related ML tools, and a solid understanding of algorithms and programming fundamentals.

Responsibilities

The Senior Deep Learning Software Engineer will design and build NVIDIA’s automated inference and deployment solution, defining a scalable architecture for DL inference with emphasis on ease-of-use and compute efficiency. This role involves developing features in high-level frameworks like PyTorch and JAX, designing and implementing a high-performance execution environment, low-level GPU optimizations, and developing custom GPU kernels in CUDA and/or Triton. The engineer will also collaborate with teams across NVIDIA to use performant kernel implementations, analyze and profile GPU kernel-level performance, and continuously innovate on inference performance to maintain NVIDIA’s leadership in the market, while leveraging the torch 2.0 ecosystem and support inference optimization techniques such as speculative decoding and LoRA.

Skills

Deep Learning

Software Engineering

Automated Inference

Deployment Solutions

Scalable Architecture

PyTorch

JAX

High-Performance Computing

GPU Optimization

CUDA

Triton

Machine Learning

Software Architecture

TorchDynamo

torch.export

torch.compile

Speculative Decoding

LoRA

TRT

TRT-LLM

TRT Model Optimizer

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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