Software Architect, NIM Factory at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

15+ years of experience building large-scale, production distributed systems
Consistent track record in a technical leadership or architect role, setting technical direction, and implementing
Deep architectural expertise in cloud-native technologies, including Kubernetes, containers, and microservices
Exceptional ability to mentor and grow senior engineers with a passion for raising the technical bar of the entire organization
Proficiency in languages like Python for building tooling and services
Experience architecting solutions for GPU-accelerated or other high-performance computing workloads
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences and drive consensus
A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience

Responsibilities

Define the end-to-end technical architecture for the NIM Factory, from container build systems and CI/CD to Kubernetes deployment patterns and runtime optimization
Drive technical strategy and roadmap, making high-impact decisions on frameworks, technologies, and standards that empower dozens of engineering teams
Architect and influence the design of workflow orchestration systems that underpin the NIM factory
Guide and support senior engineers throughout the organization in building a culture centered on technical excellence and innovation
Advocate for guidelines in software development, encompassing API composition, automation, observability, and secure supply chain management
Collaborate with leadership across research, backend, SRE, and product to align technical vision with product goals and influence technical roadmaps

Skills

Key technologies and capabilities for this role

KubernetesContainersMicroservicesCI/CDDistributed SystemsWorkflow OrchestrationObservabilityCloud-NativeAPI CompositionSecure Supply Chain

Questions & Answers

Common questions about this position

What experience level is required for this Software Architect role?

The role requires 15+ years of experience building large-scale, production distributed systems, along with a consistent track record in a technical leadership or architect role.

What key technical skills are needed for this position?

Candidates need deep architectural expertise in cloud-native technologies including Kubernetes, containers, and microservices, proficiency in Python, and experience with GPU-accelerated workloads.

Is remote work an option for this job?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Software Architect position?

Stand out with hands-on experience in LLM inference stacks like Triton Inference Server or TensorRT-LLM, optimizing large-model serving techniques, architecting container build systems or CI/CD at scale, workflow orchestration with tools like Temporal or Airflow, and designing multi-tenant multi-cluster systems.

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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