Senior Software Engineer - Distributed Inference

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Software Development, Artificial IntelligenceIndustries

Requirements

Candidates must possess a Bachelor's, Master's, or PhD in Computer Science, ECE, or a related field, or equivalent experience, along with over 6 years of professional systems software development experience. Strong programming skills in Rust, with C++ and Python as a plus, are essential, as is deep knowledge of distributed systems, runtime orchestration, and cluster-scale services. Hands-on experience with Kubernetes, container-based microservices, and Slurm integration is required, along with a proven ability to thrive in fast-paced R&D environments and collaborate effectively across functions.

Responsibilities

The Senior System Software Engineer will build and maintain distributed model management systems, including Rust-based runtime components, for large-scale AI inference workloads. They will implement inference scheduling and deployment solutions on Kubernetes and Slurm, driving advances in scaling, orchestration, and resource management. Responsibilities also include collaborating with infrastructure engineers and researchers to develop scalable APIs, services, and end-to-end inference workflows, and creating monitoring, benchmarking, automation, and documentation processes to ensure low-latency, robust, and production-ready inference systems on GPU clusters.

Skills

Distributed systems

Rust

Kubernetes

Slurm

API development

Service development

Monitoring

Benchmarking

Automation

Documentation

Low-latency systems

GPU clusters

Deep learning

AI inference

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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