FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI inferencing and systems software engineering, with a strong focus on building production-ready, scalable AI platforms. Proven ability to lead technical initiatives and collaborate across teams to enhance performance and resiliency in AI/ML infrastructure.
Highest-signal resume keywords
AI Inference ExpertiseRust ProgrammingPython ProgrammingGo ProgrammingProduction-Grade Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI InferenceSystems Software EngineeringComplex Systems AnalysisBottleneck IdentificationScalable Solution Implementation
Soft Skills
Excellent Problem-Solving SkillsExcellent Communication SkillsCollaboration SkillsLeadership Through Influence
Tools & Technologies
AWSGCPAzure
Industry Keywords
AI/ML InfrastructureObservabilityResilienceOperationsData Center-Scale
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformOpen SourcePythonRustGo
About the role
Key responsibilities & impact- Contribute to the Dynamo family of open source projects
- Serve as a technical expert in AI inferencing
- Represent Dynamo and NVIDIA with customers, partners, and the AI community
- Lead critical initiatives around resiliency, performance, and scalability for Dynamo and AI inference
- Build and drive Dynamo as a production-ready, data center-scale AI inferencing platform
- Collaborate with NVIDIA teams across storage, networking, hardware, and performance
- Keep abreast of AI/ML infrastructure technologies, frameworks, and effective strategies, and promote their implementation within NVIDIA
Requirements
What you’ll need- BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Artificial Intelligence or a related field
- 18+ years of proven experience in systems software engineering
- Expertise in AI inference, such as operating production inference systems at scale or working on inference engines
- Experience serving as a senior technical leader, with ability to lead through influence
- Proficiency in Rust, Python, and Go
- Familiarity with AWS, GCP, or Azure
- Excellent problem-solving skills, including complex systems analysis, bottleneck identification, and scalable solution implementation
- Excellent communication and collaboration skills
- Experience in production-grade infrastructure, including observability, resilience, and operations
- Enthusiasm for continual learning and keeping abreast of AI/ML systems technologies
Benefits
Comp & perks- Comprehensive benefits package
- Equity
- Competitive salary
