Staff Wireless Systems Engineer

Staff Wireless Systems Engineer

Skylo Technologies

Espoo, Finland

How You Will Impact Skylo

Skylo is seeking a Staff Wireless Systems Engineer to join our CTO group. This technical leadership role is opened for a subject matter expert who can bridge the gap between traditional RAN architecture and design, and modern machine learning (ML) techniques. You will drive the design of an intelligent RAN, redefining how signal processing and protocol layers (L1/L2/L3) operate in high-latency and dynamic satellite environments.

What You’ll Do

• Architect AI-Enhanced RAN: Lead the design and implementation of ML models for higher performance NTN RAN, focusing on intelligent signal processing, and optimization across L2/L3 protocol layers.
• Neural Signal Processing: Develop and validate AI-enhanced PHY layer (L1) algorithms, including neural-network-based channel estimation, signal detection, and interference mitigation.
• Data Strategy for AI-Infused RAN: Develop data generation framework across the RAN stack for training and validation, leveraging synthetic methods, sandbox platforms, and live data resources.
• Performance Innovation: Optimize network efficiency, reliability, and latency by applying ML to manage the unique challenges of NR-NTN.
• Technical Strategy & IP: Influence Skylo’s technical roadmap for AI/ML-driven RAN optimization, generating high-value patents to protect our unique approach to satellite connectivity.
• Ecosystem Leadership: Collaborate with chipset and OEM partners to define certification roadmaps for AI-enabled features at the device and network level.
• Quality & Mentorship: Review complex system designs, define rigorous test plans for AI models, and ensure high-quality deliverables across our global sites.

Sound Like You? What You Bring:

• Experience: 8+ years of experience in wireless systems engineering, with a significant emphasis on L1/L2/L3 system design and RAN architecture.
• AI/ML Expertise: Proven hands-on experience in model training/fine-tuning, and applying ML to wireless communications (e.g., deep learning for PHY/MAC optimization).
• Technical Mastery: Deep understanding of 3GPP NR-NTN, LTE, and NB-IoT protocols.
• Research & Innovation: Demonstrated ability to conduct in-depth technical research and translate theoretical AI concepts into production-ready wireless solutions.
• Education: PhD or Master’s degree in Telecommunications, Electrical Engineering, or a related field focusing on wireless communication, signal processing or Machine Learning.
• Communication: Exceptional verbal and written skills, with a track record of leading cross-functional collaboration between engineering and product teams.
• Every role at Skylo uses AI tools daily to amplify output. We expect active habits using AI tools and a track record of folding new ones into your workflow quickly