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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML product design and implementation, with a strong foundation in Python, Deep Learning, and Machine Learning frameworks. Proven ability to optimize platform performance and mentor engineering teams on best practices for AI workloads.
Highest-signal resume keywords
Python ProgrammingDeep Learning ExpertiseAI/DL FrameworksUser-Acceptance TestingDistributed Systems Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRustGolangLinuxBashDeep LearningMachine LearningSGLangTensorRT-LLMDynamo
Soft Skills
Interpersonal SkillsKnowledge SharingProblem-Solving
Tools & Technologies
HPCData AnalyticsCloud Native ProjectsKubernetesSlurm
Certifications & Qualifications
Masters in Computer SciencePhD in Artificial Intelligence
Industry Keywords
AI TechnologiesProduct RoadmapPerformance EvaluationCustomer Experience OptimizationSoftware Development Lifecycle
Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetesLinuxOpen SourcePythonRustGo
About the role
Key responsibilities & impact- Understand user challenges and constraints and translate them into product requirements and solutions
- Lead implementation of key features
- Conduct user-acceptance testing, load testing, and performance evaluations
- Optimize customer experience, platform performance, and reliability
- Mentor and embed with engineering teams on best practices for AI/ML workloads at scale
- Produce reference architectures for customer use cases
- Apply current NVCF product features and AI technologies
- Shepherd customer issues to resolution and provide timely warnings of issues and risks
- Evaluate innovative technologies and tooling to inform the product roadmap
Requirements
What you’ll need- Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
- At least 2 years work experience with Python, Rust, Golang, Linux or Bash
- Experience in Deep Learning and Machine Learning
- Expertise in AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo
- Knowledge of CPU and GPU architecture
- Excellent interpersonal skills, including ability to explain sophisticated technical topics to non-experts
- Experience in the design, implementation, and release of AI/ML products to market
- Familiarity with all aspects of the software development lifecycle
- Strong desire to share knowledge with clients, partners and co-workers
- Expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads
- Willingness and ability to dig into unfamiliar territories to tackle complex problems
- Prior experience in building distributed systems
Benefits
Comp & perks- Highly competitive salaries
- Comprehensive benefits package
- Equity
