Senior Software Engineer – CSP Engagements at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Datacenter, Cloud Computing, AI/ML, HPCIndustries

Requirements

Deep expertise in data center server architectures, HPC systems, and hardware-software co-design
Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet)
Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures
Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments
Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures
Skilled in complex system-level debugging, performance analysis, and test design
BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience)
8-12 years of system software development experience

Responsibilities

Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms
Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments
Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions
Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads
Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments
Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation

Skills

Key technologies and capabilities for this role

Linux kerneldevice driversembedded firmwareBSP developmentPCIeUSBEthernetARMaarch64x86NUMAHPCAI/ML

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Engineer position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What skills are required for this role?

Required skills include deep expertise in data center server architectures, HPC systems, and hardware-software co-design; expert knowledge of Linux kernel internals, device drivers, and communication protocols like PCIe, USB, Ethernet; deep understanding of ARM (aarch64), x86, and NUMA architectures; and strong programming skills in C/C++, Python.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and hardworking people, values creativity, hard work, and self-motivation, and is leading in AI, HPC, and visualization with the GPU at the heart of its innovations.

What experience makes a candidate stand out for this position?

Candidates stand out with experience in GPU computing (CUDA), deep learning workloads, expertise in Out of Band and In-band management architectures, and knowledge of Memory fabric and CXL architectures.

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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