Senior Software Engineer Aerial – Wireless RAN Algorithms Development at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Telecommunications, WirelessIndustries

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
Ways to stand out
Research experience in AI/ML and its applications to wireless applications
Demonstrated experience in software development for commercial RAN products
Knowledge of SIMD computing architecture
Background of GPU or CUDA programming
Knowledge of Wireless Protocols and E2E Deployment Architecture

Responsibilities

Spearhead the creation and improvement of RAN algorithms with a focus on AI/ML technologies
Guide system build initiatives encompassing research, composition, and development of RAN algorithms within 5G/6G PHY and MAC-Scheduler, integrating AI/ML, Deep Learning, and Raytracing
Enable realization of algorithms in a GPU accelerated system, assessing design and implementation tradeoffs
Work effectively with customers and ecosystem partners
Support integration, system simulations, performance benchmarking, and optimizations

Skills

C/C++

Python

Matlab

5G NR

PHY

MAC-Scheduler

AI/ML

Deep Learning

Raytracing

3GPP

LTE

signal processing

channel coding

linear algebra

GPU

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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