Software Architect, NIM Factory at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
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

Kubernetes
Containers
Microservices
CI/CD
Distributed Systems
Workflow Orchestration
Observability
Cloud-Native
API Composition
Secure Supply Chain

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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