Distinguished Engineer - Wireless Infrastructure

Description

The company is developing accelerated platforms and technologies for next-generation telecom wireless infrastructure, with a focus on AI-RAN and an agentic core.

The team aims for leading performance and spectral efficiency, and is building technologies for integrated sensing and communications (ISAC), semantic communications (SemCom) and physical AI on a fully software-defined telco edge infrastructure.

The company is hiring a senior technologist for the Distinguished Engineer, Wireless Infrastructure role. The team is growing quickly.

Responsibilities

• Set the technology direction for next-generation wireless infrastructure across systems, platforms and software architecture.
• Find and apply AI and ML methods to key functions and pipelines of the 6G radio access network (RAN).
• Turn the wireless core into an agentic AI packet core architecture.
• Rapidly prototype new algorithms to show the value and gains of GPU-accelerated platforms.
• Work with ecosystem partners and customers to move innovations into deployable products and solutions quickly.
• Engage with standards bodies and consortiums, including 3GPP, AI-RAN and O-RAN, on AI-native approaches for next-G technology.
• Develop new applications in ISAC, semantic communications, physical AI at the edge and related areas.
• Lead system architecture, requirements, design, development, performance optimization and benchmarking for the AI-for-RAN software stack.
• Scout and develop new acceleration technologies for future company hardware.

Requirements

• MS or PhD in computer science, electrical engineering or a related field, or equivalent experience.
• 20+ years of proven industry experience.
• Deep knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing and channel coding.
• Experience architecting and building RAN applications, with proven system-level optimization skills.
• Proven experience designing and developing 5G NR PHY/L1 and L2 MAC scheduler algorithms.
• Experience architecting wireless core technologies, including accelerated user plane function (UPF).
• Deep expertise in AI and machine learning, with proven application of AI techniques to RAN L1 and L2+ pipelines.
• Solid foundation in statistical analysis.
• Strong grasp of the mathematics behind RAN algorithms.
• Strong hands-on programming in Python, C/C++ and Matlab.
• Ways to stand out: strong leadership, communication and problem-solving skills.
• Ways to stand out: a record of leading impactful innovations and turning them into commercial products.
• Ways to stand out: a substantial body of work at the intersection of AI, cloud and wireless technologies.
• Ways to stand out: strong exposure to wireless standardization and industry consortiums.
• Ways to stand out: proven ability to succeed in a fast-paced, collaborative environment.
• Definite plus: demonstrable experience working with telecom service providers that deploy commercial networks.

Conditions

Base salary is set by location, experience and other objective job-related factors, with an expected range of $320,000 to $488,750 USD.

Applications will be accepted until at least November 3, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by law.