About this opportunity
NOKIA lists this Radio Systems Research Engineer opportunity in new providence, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Team Description
The goal of the Radio Systems USA Department at Nokia Bell Labs is to develop novel, superior, and disruptive technologies for wireless communication and sensing systems. We are devoted to establishing fundamentals as well as to developing game-changing, high-impact technologies and concepts for radio connectivity in AI-native networks over an ever-widening range of frequency bands.
We are seeking a talented and self-motivated research engineer to work with a team of domain experts with a focus on system design, implementation and validation of various new concepts and algorithms in radio systems. You are expected to
Take initiative, and work independently as well as within a team
Work closely with domain experts to implement and validate new concepts and algorithms
Generate intellectual property and technology transfer to business groups and standards bodies
Document and communicate design and experiment results clearly and effectively
Master's degree in electrical engineering or related field
Knowledge of wireless physical-layer preferably including massive MIMO, beamforming or precoding, channel estimation, scheduling, link adaptation, or other techniques that improve spectral efficiency.
Experience working with real-time systems across latency and resource efficiency using reproducible methods and representative workloads.
Ability to translate research into robust prototypes and clearly communicate architecture choices, bottlenecks, trade-offs, and customer-relevant conclusions to research, product, and customer-facing teams.
Demonstrated GPU/CPU performance engineering or ability to learn fast , including CUDA or equivalent accelerator programming, kernel optimization, memory-management optimization, profiling, and latency analysis. CPU programming including multithreading, vectorization, cache-aware implementation, and use of optimized numerical libraries, to establish fair and credible baselines.
Preferred: familiarity with AI-RAN, 5G-Advanced or 6G RAN architectures, GPU-accelerated Layer 1/Layer 2 processing, machine-learning inference optimization, and relevant development frameworks or SDKs.
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Worksite address
new providence, NJ, 07974, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.