System Software Engineer, Distributed Systems at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

B.S. CS/EE (or equivalent experience)
5+ years developing large-scale software applications in at least two programming languages
Solid computer science fundamentals in algorithms/data structures/complexity analyses
Understand processes, synchronization, locks, concurrency, and load-balancing
Excellent grasp of distributed systems and compute abstractions
Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Responsibilities

Design, development, and delivery of core components of next-generation VLSI productivity platforms
Design, build, deploy, and improve highly scalable systems
Translate high-level requirements into actionable plans/deliverables
Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output
Convert legacy codebases into modern powerhouses infused with industry best-practices
Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

Skills

Key technologies and capabilities for this role

Distributed SystemsAlgorithmsData StructuresConcurrencySynchronizationLocksLoad-BalancingPerlPythonFilesystemsJob-SchedulingJSON-RPCLLMsScalable Systems

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 and benefits.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills are required for this System Software Engineer role?

Required skills include 5+ years developing large-scale software applications in at least two programming languages, solid computer science fundamentals in algorithms/data structures/complexity analyses, understanding of processes/synchronization/locks/concurrency/load-balancing, and excellent grasp of distributed systems and compute abstractions.

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

NVIDIA fosters a diverse work environment with forward-thinking and hardworking people, and due to unprecedented growth, exclusive engineering teams are rapidly expanding. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms across databases, web apps, build automation, ML, and infrastructure.

What makes a candidate stand out for this role?

Candidates stand out with 5+ years in enterprise engineering using Perl and Python, experience partitioning/optimizing complex systems, understanding filesystems/job-scheduling/JSON-RPC, high self-sufficiency in ambiguity, strong reasoning/problem-solving, and rapid comprehension of codebases for high-leverage changes.

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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