NVIDIA

Senior Software Engineer – Wireless RAN Algorithms Development

NVIDIA

full-time

Posted on:

Location Type: Office

Location: Bengaluru • 🇮🇳 India

Visit company website
✨ AI Apply
Apply

Job Level

Senior

Tech Stack

Python

About the role

  • Guide the system build initiatives encompassing research, composition, and development of RAN algorithms within the realms of 5G/6G PHY and MAC-Scheduler
  • Integrate innovative strategies like AI/ML, Deep Learning, and Raytracing
  • Enable realization of algorithms in a GPU accelerated system
  • Assess the design and implementation tradeoffs
  • Effectively work with customers and ecosystem partners
  • Support integration, system simulations, performance benchmarking, and optimizations

Requirements

  • MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.
  • Minimum of 8 years relevant experience
  • Proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding
  • Deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizations
  • Experience with wireless algorithm performance characterization and analysis
  • Wireless base station design, development, and commercialization experience
  • Experience building system models with Matlab, C/C++ and/or Python for algorithm design and link-level simulation
  • Solid knowledge of 3GPP 5G NR standard
  • Strategic context of Telecom Industry and Wireless technology evolution
Benefits
  • Competitive salary
  • Work on technology for 5G and 6G networks
  • Opportunity to work with NVIDIA's world-class compute platforms

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
RAN algorithms5G PHY6G PHYMAC-SchedulerAI/MLDeep LearningGPU accelerationcommunication systemsbaseband signal processingchannel coding
Soft skills
customer collaborationpartner engagementperformance benchmarkingoptimization
Certifications
MS in Electrical EngineeringPhD in Computer Science