Design, implement, and optimize 5G NR gNB PHY layer algorithms and real-time signal processing on DSP/FPGA/GPU. Integrate PHY with RF front-end, maintain 3GPP compliance, perform unit/integration testing, debug and tune performance, and mentor junior engineers.
As an Applied R&D Engineer 4 - SW, you will play a crucial role in our TAO BLSR Space Communication Solutions department. Your primary focus will be on the Physical Layer (PHY) development for 5G NR gNB, ensuring compliance with 3GPP specifications. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the advancement of 5G network performance.
Responsibilities
- Design, develop, and optimize the PHY layer for 5G NR gNB, adhering to 3GPP standards.
- Implement and optimize PHY algorithms, including channel estimation, equalization, beamforming, MIMO, and decoding techniques.
- Work on DSP/FPGA/GPU implementations for real-time signal processing, ensuring efficient and reliable performance.
- Develop and optimize the L1-L2 interface for high-performance data processing, enhancing overall system efficiency.
- Collaborate with system engineers to analyze PHY layer performance and identify areas for improvement.
- Conduct thorough unit and integration testing, debugging, and performance tuning of PHY software and firmware.
- Optimize PHY layer for latency, throughput, and power efficiency, balancing performance and resource utilization.
- Integrate PHY with RF front-end components, ensuring seamless communication and optimal system performance.
- Stay updated with 3GPP releases and implement necessary changes in PHY processing to maintain compliance.
- Provide technical expertise and guidance to junior team members, fostering a collaborative and supportive work environment.
- 2-3 years of hands-on experience in 5G NR/LTE PHY Layer development, demonstrating a strong understanding of OFDM, MIMO, and other key PHY concepts.
- Proficiency in C/C++, MATLAB, and Python for algorithm development and simulation, ensuring efficient and reliable code implementation.
- Experience with DSPs, FPGAs, or GPUs for real-time PHY processing, optimizing signal processing and system performance.
- Solid knowledge of 3GPP specifications, particularly 38.211, 38.212, 38.213, and 38.214, ensuring compliance and effective implementation.
- Familiarity with software-defined radio (SDR) and real-time embedded systems, enabling efficient development and testing.
- Experience in debugging and performance tuning of PHY layer implementations, ensuring robust and optimized system performance.
- Knowledge of signal processing libraries like FFTW is preferred, enhancing the efficiency and accuracy of signal processing tasks.
- Strong problem-solving skills and the ability to work effectively in a team-oriented environment, fostering collaboration and innovation.
- Experience in 5G PHY testing and validation using industry-leading tools is an advantage, ensuring accurate and reliable testing.
- A B.E/B.Tech or M.E/M.Tech degree in Electronics, Telecommunications, Computer Science, or a related field, providing a strong technical foundation.
Similar Jobs
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Promotes Takeda pharmaceutical products through scientific customer visits, communicates medical information to healthcare experts, develops target-customer relationships, identifies needs, supports market-share growth, and represents the company professionally. The role requires achievement of sales targets, strong key-account management, execution, learning, and teamwork skills. Oncology promotion experience, particularly in lung cancer, breast cancer, urology, or medical oncology, is preferred.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Processes, codes, audits, and indexes service-provider invoices for fleet billing operations. Responsibilities include resolving invoice discrepancies, verifying approval limits, completing WACC requirements, processing rebills, performing VMRS coding and costing, managing purchase-order inquiries, and responding to overflow calls. The role requires accurate high-volume data entry, attention to detail, and communication with service providers and internal teams.
Top Skills:
TmcareVmrs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Processes, codes, audits, and indexes invoices for fleet services; resolves billing discrepancies with service providers, verifies approval limits, handles rebills and system resets, and responds to purchase order inquiries. The role requires accurate high-volume data entry, effective communication, and attention to detail in a fast-paced billing environment.
Top Skills:
TmcareVmrs
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


