Solutions Engineer
Experian
CloudMicroservices
Solutions Architect, Data Processing
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $189,750 per year
Job Level
Mid-LevelSenior
Tech Stack
ETL
About the role
- research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications.
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures.
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
- Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line
Requirements
- Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
- Programming fluency in C/C++ with a deep understanding of algorithms and software design.
- Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc.
- In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
- Domain expertise in high performance databases, ETL, data analytics and/or vector database.
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Benefits
- equity
- benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
CC++CUDAOpenACCOpenMPMPIpthreadsTBBalgorithmssoftware design
Soft skills
communicationorganizationproblem solvingprioritization
Certifications
Masters in Computer SciencePhD in Computer ScienceMasters in Computer EngineeringPhD in Computer Engineering
