NVIDIA
Senior AI Infrastructure Software Engineer
Join to apply for the
Senior AI Infrastructure Software Engineer
role at
NVIDIA Senior AI Infrastructure Software Engineer
Join to apply for the
Senior AI Infrastructure Software Engineer
role at
NVIDIA Get AI-powered advice on this job and more exclusive features. You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What You'll Be Doing
Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
What We Need To See
Master or PhD or equivalent experience in Computer Science or related field, with a minimum of 5 years in large-scale distributed systems or AI infrastructure. Advanced expertise in Python (required), strong experience with JavaScript, and deep knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code. Demonstrated expertise in crafting scalable microservices, web apps, SQL, and NoSQL databases (especially MongoDB and Redis) in production with containers, Kubernetes, and CI/CD. Solid experience with distributed messaging systems (e.g., Kafka), and integrating event-driven or decoupled architectures into robust enterprise solutions. Practical experience integrating and fine-tuning LLMs or agent frameworks (e.g., LangChain, LangGraph, AutoGen, OpenAI Functions, RAG, vector databases, timely engineering). Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support. Excellent communication skills and a collaborative, proactive approach.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until November 17, 2025.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.
JR2008140
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles.
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#J-18808-Ljbffr
Join to apply for the
Senior AI Infrastructure Software Engineer
role at
NVIDIA Senior AI Infrastructure Software Engineer
Join to apply for the
Senior AI Infrastructure Software Engineer
role at
NVIDIA Get AI-powered advice on this job and more exclusive features. You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What You'll Be Doing
Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
What We Need To See
Master or PhD or equivalent experience in Computer Science or related field, with a minimum of 5 years in large-scale distributed systems or AI infrastructure. Advanced expertise in Python (required), strong experience with JavaScript, and deep knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code. Demonstrated expertise in crafting scalable microservices, web apps, SQL, and NoSQL databases (especially MongoDB and Redis) in production with containers, Kubernetes, and CI/CD. Solid experience with distributed messaging systems (e.g., Kafka), and integrating event-driven or decoupled architectures into robust enterprise solutions. Practical experience integrating and fine-tuning LLMs or agent frameworks (e.g., LangChain, LangGraph, AutoGen, OpenAI Functions, RAG, vector databases, timely engineering). Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support. Excellent communication skills and a collaborative, proactive approach.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until November 17, 2025.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.
JR2008140
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles.
Redmond, WA $84,200.00-$180,400.00 2 weeks ago Seattle, WA $71,200.00-$127,200.00 1 week ago Seattle, WA $158,400.00-$229,125.00 2 weeks ago Software Developer-Artificial Intelligent/Machine Learning
Seattle, WA $167,000.00-$185,500.00 2 weeks ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)
Seattle, WA $112,725.00-$177,840.00 2 weeks ago Seattle, WA $112,725.00-$177,840.00 5 days ago California, United States $100,000.00-$720,000.00 2 weeks ago Seattle, WA $147,000.00-$259,000.00 2 weeks ago Seattle, WA $80,000.00-$115,000.00 2 weeks ago Seattle, WA $140,000.00-$180,000.00 19 hours ago Machine Learning Engineer, Foundation Model
Seattle, WA $212,000.00-$318,000.00 1 week ago Machine Learning Engineer, Payments ML Accelerator
Seattle, WA $212,000.00-$318,000.00 1 week ago Bellevue, WA $147,000.00-$259,000.00 2 weeks ago AI Engineer- Gen AI/SWE- Weights & Biases
Bellevue, WA $188,000.00-$275,000.00 1 week ago Bellevue, WA $56.25-$173,000.00 1 week ago AI Engineer & Researcher, Inference - Seattle, USA
Seattle, WA $140,000.00-$200,000.00 17 hours ago Applied AI Engineer & Researcher - Seattle, USA
Seattle, WA $140,000.00-$200,000.00 23 hours ago Bellevue, WA $190,000.00-$320,000.00 2 weeks ago Seattle, WA $143,200.00-$179,000.00 5 hours ago Software Engineer, Machine Learning (All levels)
Seattle, WA $120,000.00-$300,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr