Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- 6 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
- Education
- Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
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Role Summary
NVIDIA is seeking computer architects to design and develop models for next-generation GPU-accelerated datacenters. The role focuses on cost and power modeling for datacenter-scale accelerated computing platforms and contributes to software supporting high-performance computing and AI technologies.
What You'll Do
- Guide the software design, architecture, and implementation of cost and power modeling for datacenter-scale accelerated computing platforms.
- Evangelize modern software architecture design patterns and tools, including AI-driven solutions.
- Implement software and DevOps best practices for rapidly growing teams.
- Make hands-on contributions to a business-critical codebase.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience; 8+ years of experience in systems architecture and modeling; exceptional Python programming skills; strong mathematical and analytical skills; excellent interpersonal skills; proven contributions to scaled Python-based software projects.
Required
- Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience
- 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems
- Exceptional programming skills in Python
- Strong mathematical and analytical skills
- Excellent interpersonal skills with success contributing to projects within multi-discipline teams
- Proven track record of contributions to scaled Python-based software projects
Preferred
- MS
- Experience with accelerated server architecture design and deployment, especially up to hyperscale
- Background in parallel computing, server architecture, or datacenter design
- Expertise in data analysis and visualization, especially pandas and associated technologies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.
What you'll be doing:
Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.
What we need to see:
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
Proven track record of contributions to scaled Python-based software projects
Ways to stand out from the crowd:
Experience with accelerated server architecture design and deployment, especially up to hyperscale.
Background in parallel computing, server architecture, or datacenter design.
An excitement and curiosity about the future of accelerated computing and AI
Expertise in data analysis and visualization, especially pandas and associated technologies
A love of technology and passion for your work!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.