21 of 21 MIMO Jobs

native RAN architecture. Strong understanding of O-RAN interfaces (SMO, RIC, O1/O2/E2) and 5G Core components (gNodeB, AMF, SMF, UPF). Experience with Massive MIMO, beamforming, and DSS technologies. Proficiency in Kubernetes, Docker, Linux, Python, Ansible, and automation frameworks. Experience with major vendors Strong problem-solving, stakeholder management, and communication skills. What More ❯

RIC, and O1/O2/E2 interfaces. Deep knowledge of 5G SA core and RAN architecture (gNodeB, AMF, SMF, UPF components). Solid understanding of Massive MIMO, beamforming, and dynamic spectrum sharing (DSS). Strong grounding in RF principles, propagation models, and coverage/capacity planning. Knowledge of cloud-native technologies, including Kubernetes, Docker, and More ❯

RIC, and O1/O2/E2 interfaces. Deep knowledge of 5G SA core and RAN architecture (gNodeB, AMF, SMF, UPF components). Solid understanding of Massive MIMO, beamforming, and dynamic spectrum sharing (DSS). Strong grounding in RF principles, propagation models, and coverage/capacity planning. Knowledge of cloud-native technologies, including Kubernetes, Docker, and More ❯

RIC, and O1/O2/E2 interfaces. Deep knowledge of 5G SA core and RAN architecture (gNodeB, AMF, SMF, UPF components). Solid understanding of Massive MIMO, beamforming, and dynamic spectrum sharing (DSS). Strong grounding in RF principles, propagation models, and coverage/capacity planning. Knowledge of cloud-native technologies, including Kubernetes, Docker, and More ❯

RIC, and O1/O2/E2 interfaces. Deep knowledge of 5G SA core and RAN architecture (gNodeB, AMF, SMF, UPF components). Solid understanding of Massive MIMO, beamforming, and dynamic spectrum sharing (DSS). Strong grounding in RF principles, propagation models, and coverage/capacity planning. Knowledge of cloud-native technologies, including Kubernetes, Docker, and More ❯

RIC, and O1/O2/E2 interfaces. Deep knowledge of 5G SA core and RAN architecture (gNodeB, AMF, SMF, UPF components). Solid understanding of Massive MIMO, beamforming, and dynamic spectrum sharing (DSS). Strong grounding in RF principles, propagation models, and coverage/capacity planning. Knowledge of cloud-native technologies, including Kubernetes, Docker, and More ❯

/E2). Hands-on experience with vRAN/xRAN deployments , preferably involving Rakuten Symphony, Mavenir, Parallel Wireless, Nokia, or Ericsson . Practical knowledge of RF principles , beamforming, Massive MIMO , and DSS. Familiarity with network automation tools : Linux, Python, Ansible, Bash. Solid understanding of 5G Core (gNodeB, AMF, SMF, UPF) and related interfaces. Knowledge of network slicing, QoS More ❯

network rollout by reviewing site designs, performing audits, and validating configurations prior to implementation. Contribute to RAN modernization, site upgrades, and new technology introductions (eg, DSS, Massive MIMO, carrier aggregation). Maintain up-to-date documentation libraries and ensure compliance with engineering standards and project governance requirements. Participate in design reviews and provide technical documentation More ❯

network rollout by reviewing site designs, performing audits, and validating configurations prior to implementation. Contribute to RAN modernization, site upgrades, and new technology introductions (eg, DSS, Massive MIMO, carrier aggregation). Maintain up-to-date documentation libraries and ensure compliance with engineering standards and project governance requirements. Participate in design reviews and provide technical documentation More ❯

SA, Open RAN, and cloud-native RAN architecture Hands-on experience with Kubernetes, Docker, CNFs, and orchestration tools (Linux, Python, Ansible) Strong understanding of RF principles, Massive MIMO, beamforming, and network slicing Proven success in large-scale telecom deployments across multi-vendor environments If you're ready to lead the evolution of wireless networks and work More ❯

SA, Open RAN, and cloud-native RAN architecture Hands-on experience with Kubernetes, Docker, CNFs, and orchestration tools (Linux, Python, Ansible) Strong understanding of RF principles, Massive MIMO, beamforming, and network slicing Proven success in large-scale telecom deployments across multi-vendor environments If you're ready to lead the evolution of wireless networks and work More ❯

SA, Open RAN, and cloud-native RAN architecture Hands-on experience with Kubernetes, Docker, CNFs, and orchestration tools (Linux, Python, Ansible) Strong understanding of RF principles, Massive MIMO, beamforming, and network slicing Proven success in large-scale telecom deployments across multi-vendor environments If you're ready to lead the evolution of wireless networks and work More ❯

SA, Open RAN, and cloud-native RAN architecture Hands-on experience with Kubernetes, Docker, CNFs, and orchestration tools (Linux, Python, Ansible) Strong understanding of RF principles, Massive MIMO, beamforming, and network slicing Proven success in large-scale telecom deployments across multi-vendor environments If you're ready to lead the evolution of wireless networks and work More ❯

architectures. Optimize KPIs such as access success rate, throughput, drop rates, handover performance, and VoLTE metrics. Troubleshoot and tune advanced 5G features including: Carrier Aggregation (CA) Massive MIMO, Beamforming, Network slicing, mmWave deployments Use drive test data (TEMS, Actix, etc.) to analyze mobility issues, overshooting cells, and coverage imbalance. Apply intelligent parameter changes (e.g., A5, IntraSearchRx, ThreshXHigh More ❯

virtualisation, and orchestration (Kubernetes, Docker, CNFs). Experience with O-RAN SMO, RIC, and O1/O2/E2 interfaces . Solid knowledge of RF design, Massive MIMO, beamforming, and DSS . Hands-on skills with automation and scripting (Python, Ansible, Bash). Proven leadership in multi-vendor 5G deployments with top-tier vendors (e.g., Rakuten More ❯

international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and More ❯

international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and More ❯

international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and More ❯

international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and More ❯

international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and More ❯

staffing company RAN System Engineer Top skills: - 4G/5G RAN Call Processing - In depth knowledge of RRC, S1-MME, S1-U and X2 protocols - Hybrid Beamforming, Massive MIMO, New Waveforms, LTE-NR interworking & co-existence, 5G Numerologies - Performance analysis Schedule: Fully Onsite KEY RESPONSIBILITES/REQUIREMENTS: We are seeking a highly experienced RAN Systems Engineer, 4G/5G … in 4G/5G Call Processing. - In depth knowledge of RRC, S1-MME, S1-U and X2 protocols and understanding of concepts such as Hybrid Beamforming, Massive MIMO, New Waveforms, LTE-NR interworking & co-existence, 5G Numerologies, etc. - Fluent with 3GPP RAN product architecture, design, implementation and performance improvements (KPIs). Good understanding of scheduler functionality is More ❯