Senior Deep Learning Software Engineer, Inference at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

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 are helpful and Python experience is a plus)
Prior experience with training, deploying or optimizing the inference of DL models in production is a plus
Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus
Ways to stand out
Contribute to Deep Learning Software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field
Experience with Multi-GPU Communications (NCCL, NVSHMEM)
Experience building and shipping products to enterprise customers
GPU programming experience (CUDA, OAI TRITON or CUTLASS)

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

Skills

Key technologies and capabilities for this role

C/C++PythonCUDANCCLCUTLASSTritonvLLMSGLangFlashInferDeep LearningLLMPerformance OptimizationGPU

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity.

Is this role remote or hybrid?

This is a hybrid role.

What skills are required for this Senior Deep Learning Software Engineer role?

Required skills include a Masters or PhD or equivalent experience in a relevant field like Computer Engineering, Computer Science, EECS, or AI, 5+ years of relevant software development experience, and excellent C/C++ programming and software design skills. Python experience and SW Agile skills are helpful.

What is the team culture like at NVIDIA for this role?

NVIDIA teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology in Artificial Intelligence, High-Performance Computing, and Visualization.

What makes a candidate stand out for this position?

Candidates stand out with contributions to Deep Learning Software projects like PyTorch, vLLM, and SGLang, experience with Multi-GPU Communications (NCCL, NVSHMEM), building and shipping products to enterprise customers, and GPU programming experience (CUDA, OAI TRITON or CUTLASS).

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.

Land your dream remote job 3x faster with AI

Try Jobo Free