Senior Wireless Systems Engineer

Senior Wireless Systems Engineer

Skylo Technologies

Espoo, Finland

Summary Of How You Will Impact Skylo

Skylo is hiring a Senior Wireless Systems Engineer at Skylo, you will join the CTO team and play a pivotal role in advancing our mission to deliver reliable, global network connectivity. You will leverage your expertise in wireless systems and emerging technologies, including machine learning, to help build innovative and disruptive products that shape the future of connectivity.

How You Will Contribute

• Analysis of link budget, satellite antenna and propagation, channel and interference modeling, RF impairments and coexistence;
• Contributions to 3GPP RAN4 supporting Skylo's services and roadmap;
• Analysis of network performance under various conditions, and optimization of efficiency, reliability, and latency to improve network KPIs;
• Develop features for chipset and device certification roadmap to protect Skylo’s strategy and enable value added services;
• Simulations at link-level for existing specifications, including 5G NR, 4G NB-IoT and LTE etc. and new technologies e.g. AI for RAN;
• Technical documentation and updates for internal and external stakeholders;
• Review designs, define test plans, and ensure high-quality deliverables;
• Innovate and contribute to Skylo’s IP portfolio.

What We Look For

• Master’s or PhD in Telecommunications, Electrical Engineering, or a related field;
• 5+ years of experience in wireless systems engineering, with a focus on RF/PHY aspects and RAN technologies;
• Deep understanding of wireless communication protocols, including NB-IoT, LTE, 5G, and satellite systems;
• Strong knowledge of 3GPP standards, conformance, and performance requirements for both terrestrial and non-terrestrial networks;
• Experience with protocol and algorithm development, including contributions to standardization bodies such as 3GPP;
• Familiarity with machine learning concepts as applied to wireless communications (e.g., RAN optimization, signal detection, channel modeling); hands-on experience with AI in RAN is a plus;
• Proven ability to conduct in-depth technical research and propose effective, innovative solutions;
• Excellent written and verbal communication skills, with a track record of cross-functional collaboration across engineering, product, and operations teams;
• Experience working in fast-paced, dynamic environments such as startups is highly valued.