We are looking for a AI-Driven 4G PHY SW Tech Lead to work on the architecture, implementation, and real-time optimization of the LTE Layer 1 (PHY) software stack. You will be a technical authority for the domain, working across MAC, System, Integration, QA, and Product Management to deliver carrier-grade Open RAN solutions. A core part of the role is advancing how the team applies AI and agentic software development to a large, high-performance codebase, accelerating design, debugging, and delivery.
What you will do
Lead the design, development, and evolution of the LTE Layer 1 (PHY) software stack.
Drive PHY features end to end: architecture, implementation, optimization, testing, and production support.
Drive performance optimization, debugging, and root cause analysis for carrier-grade real-time reliability.
Shape the software architecture and technical roadmap of our Open RAN platform.
Mentor engineers, set the bar for engineering practice, and partner with MAC, System Engineering, Integration, QA, and Product Management.
- Apply agentic software development and LLM-based workflows, and evaluate new tools as they emerge.
- What you should have:
- 3+ years as a Technical Lead or Senior Software Engineer on complex software projects.
Strong knowledge of the wireless physical layer (PHY), ideally 4G/5G or another OFDM-based technology.
Hands-on experience with agentic software development and LLM-based workflows, plus a basic understanding of AI internals and RAG.
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Excellent C/C++ and multi-threaded development on Linux-based real-time embedded systems.
Solid DSP fundamentals, with a track record of optimizing for latency, CPU, and memory.
Strong debugging and troubleshooting in complex embedded and distributed systems.
Fluent with Git, CI/CD pipelines, and Agile development practices.
- Strong communicator who can mentor engineers and guide technical decisions across teams.
- Nice to Have:
- Open RAN (O-RAN) architecture, eNodeB/gNodeB, or baseband software development.
SIMD optimization (AVX, SSE, NEON) on ARM and x86.
MATLAB or Python for algorithm development and validation.
- Cloud-native telecom platforms, containerized deployments, or large-scale wireless infrastructure.
- Education:
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications, or a related technical field.
