NVIDIA
Lead Senior Software Engineer, Agentic AI Applications
NVIDIA, Myrtle Point, Oregon, United States, 97458
Employer Industry: Technology (Artificial Intelligence and Software Development)
Why consider this job opportunity:
Base salary up to $356,500
Eligibility for equity and a generous benefits package
Opportunity for career advancement and growth within a rapidly evolving industry
Work alongside some of the most innovative minds in technology
Engage in impactful projects related to Deep Learning and Autonomous Vehicles
Flexible work environment that encourages autonomy and creativity
What to Expect (Job Responsibilities):
Design, develop, and implement agentic AI blueprints to demonstrate enterprise deployment
Lead technical reviews and mentor the engineering team in building production-grade workflows
Develop proof-of-concept workflows utilizing modern data science techniques for GenAI use cases
Collaborate with cross-functional teams to enhance NVIDIA's agentic ecosystem
Drive performance optimization for agentic applications across data centers
What is Required (Qualifications):
BS in Computer Engineering, Computer Science, Data Science, or a related field; MS or PhD preferred
8+ years of software engineering experience, including 2+ years in a tech lead role
Proficient in Python with at least 6+ years of experience in building libraries or applications for enterprise customers
Experience with GenAI application development and understanding of agentic frameworks
Proficient in distributed orchestration and communication frameworks
How to Stand Out (Preferred Qualifications):
Demonstrated leadership in building and scaling agentic AI applications in production
Experience developing agents in Python or a similar language
Proven ability to profile code to identify performance bottlenecks and implement solutions
Familiarity with GPU platforms and NVIDIA technologies
Experience with RAG systems and communication protocols
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Why consider this job opportunity:
Base salary up to $356,500
Eligibility for equity and a generous benefits package
Opportunity for career advancement and growth within a rapidly evolving industry
Work alongside some of the most innovative minds in technology
Engage in impactful projects related to Deep Learning and Autonomous Vehicles
Flexible work environment that encourages autonomy and creativity
What to Expect (Job Responsibilities):
Design, develop, and implement agentic AI blueprints to demonstrate enterprise deployment
Lead technical reviews and mentor the engineering team in building production-grade workflows
Develop proof-of-concept workflows utilizing modern data science techniques for GenAI use cases
Collaborate with cross-functional teams to enhance NVIDIA's agentic ecosystem
Drive performance optimization for agentic applications across data centers
What is Required (Qualifications):
BS in Computer Engineering, Computer Science, Data Science, or a related field; MS or PhD preferred
8+ years of software engineering experience, including 2+ years in a tech lead role
Proficient in Python with at least 6+ years of experience in building libraries or applications for enterprise customers
Experience with GenAI application development and understanding of agentic frameworks
Proficient in distributed orchestration and communication frameworks
How to Stand Out (Preferred Qualifications):
Demonstrated leadership in building and scaling agentic AI applications in production
Experience developing agents in Python or a similar language
Proven ability to profile code to identify performance bottlenecks and implement solutions
Familiarity with GPU platforms and NVIDIA technologies
Experience with RAG systems and communication protocols
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr