Develop, optimize, and integrate 5G NR L2/L3 protocol stacks (MAC, RLC, PDCP, RRC, NGAP). Implement scheduling, HARQ, buffer management, and mobility features. Debug protocols using tracing tools and integrate L2/L3 with PHY and 5GC to improve throughput, latency, and handover performance.
Join our Strategy and Technology Space Communication Solutions team as a 5G gNB Layer 2 and Layer 3 (L2/L3) Developer and play a pivotal role in advancing 5G technology! Collaborate closely with systems engineers, testers, and hardware teams in a hybrid work environment, tackling challenges in 5G NR L2/L3 development. You'll contribute to a forward-thinking team that drives innovative technology solutions, shaping the future of mobile communication. Enjoy a flexible work arrangement, professional development opportunities, and the chance to work on groundbreaking projects that set new industry standards. Join us in creating lasting value in the world of telecommunications!
- Develop and optimize 5G NR Layer 2/Layer 3 functionalities including MAC, RLC, PDCP, RRC, and NGAP.
- Implement advanced L2 scheduling algorithms, HARQ mechanisms, and efficient buffer management.
- Collaborate on the development of UE and gNB L2/L3 stacks, ensuring robust protocol compliance and performance.
- Optimize network performance by enhancing throughput, reducing latency, and improving handover processes.
- Debug and troubleshoot protocol stack behaviors using logs and advanced tracing tools.
- Integrate and test L2/L3 software with the physical layer (PHY) and core network (5GC) to ensure seamless operations.
You have:
- 3+ years of experience in 5G NR or LTE RAN development (L2/L3)
- Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Telecommunications, or a related field.
- Strong programming skills in C, C++, and experience with multi-threaded and real-time systems.
- Deep understanding of MAC, RLC, PDCP, RRC, NGAP protocols.
- Experience with L2 scheduling, HARQ, QoS, and mobility management.
- Familiarity with 3GPP (Rel-15 and later) specifications.
- Strong debugging skills with tools like Wireshark, TShark, QXDM, or similar.
- Experience in real-time OS (RTOS) or Linux kernel networking stack.
It would be nice if you also had:
- Knowledge of DPDK, VPP, or other high-performance packet processing frameworks is a plus.
- Experience in O-RAN, Open RAN, or vRAN architectures is a plus.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.
Top Skills:
PythonPyTorch
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Field sales professional responsible for retaining and growing revenue from an assigned book of dealer clients. Will perform consultative, solutions-based selling at client locations, collaborate across Cox Automotive teams, leverage Salesforce, and travel extensively (about 80%). Compensation includes base salary plus commission/incentive.
Top Skills:
Salesforce
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages sales of Dealer.com and Cox Automotive products to franchise dealerships across Michigan and Ohio. Builds relationships with dealership decision-makers, consultatively sells and demonstrates solutions, closes complex opportunities, grows territory revenue, and meets sales targets. Provides industry insights, develops consensus among stakeholders, manages existing accounts, and supports territory coverage. This remote role requires the candidate to live in the territory and travel extensively, typically 70% or more.
Top Skills:
CdkDealer.ComDealersocketReynolds And ReynoldsRouteone
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


