Staff Wireless Systems Engineer (AI/ML)

Location: Espoo, Finland; hybrid work with onsite attendance three days per week

Company

Develops a standards-based, cloud-native Non-Terrestrial Network platform that connects smartphones and IoT devices directly to satellites through commercial NTN virtualized RAN infrastructure.

What you will do

• Lead the design and implementation of AI-enhanced RAN features for performance optimization across L2 and L3 protocol layers.
• Develop and validate neural-network-based PHY-layer algorithms for channel estimation, signal detection, and interference mitigation.
• Build data-generation frameworks across the RAN stack using synthetic data, sandbox platforms, and live data.
• Optimize NR-NTN network efficiency, reliability, and latency for high-latency and dynamic satellite environments.
• Shape the AI/ML-driven RAN technical roadmap, develop intellectual property, and collaborate with chipset and OEM partners on certification roadmaps.
• Review complex system designs, define AI model test plans, and mentor engineers across global sites.

Requirements

• 8+ years of experience in wireless systems engineering, including L1/L2/L3 system design and RAN architecture.
• Hands-on experience training or fine-tuning models and applying machine learning to wireless communications.
• Deep knowledge of 3GPP NR-NTN, LTE, and NB-IoT protocols.
• Ability to conduct technical research and translate AI concepts into production-ready wireless solutions.
• PhD or Master's degree in Telecommunications, Electrical Engineering, or a related field focused on wireless communication, signal processing, or machine learning.
• Strong verbal and written communication skills and experience leading collaboration between engineering and product teams; active use of AI tools is expected.

Culture & Benefits

• Open, transparent, and inclusive culture influenced by Silicon Valley, Nordic, and South Asian working practices.
• Occupational healthcare, health insurance, and life insurance.
• E-passi wellness, culture, lunch, and commuting benefits.
• Phone and internet allowance.
• Individual learning and development budget.

Hiring process

• Initial recruiter call.
• Take-home assignment.
• Two interviews with different team members.