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
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Lead commercial strategy across Rapid7’s product portfolio, including pricing, packaging, positioning, bundling, value-based pricing, and go-to-market execution. The role partners with Product, Sales, Marketing, RevOps, Finance, and Deal Desk to analyze commercial metrics, develop models, guide CPQ and operational tooling, monitor competitors, and present recommendations to senior leadership. The position requires strong quantitative analysis, financial modeling, cross-functional influence, and execution in a B2B SaaS environment.
Top Skills:
Business Intelligence PlatformsDashboardsData Warehouse ToolingEnterprise CpqSpreadsheet ModelingSQL
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.
Top Skills:
Amazon S3AWSData MeshDistributed Query EnginesDynamoDBEmbedding SystemsFlinkKafkaLlmsMl/Ai
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Leads end-to-end IVD, companion diagnostic, clinical trial assay, tumor profiling, and SaMD development programs. Aligns internal cross-functional teams and biopharma partners across strategy, validation, clinical operations, regulatory submission, manufacturing, and commercialization. Owns governance, milestones, budgets, resources, risks, and partner relationships while delivering programs through regulatory approval or pivotal clinical trials.
Top Skills:
Analytical ValidationAssay DevelopmentBioinformaticsBlaClinical ValidationCompanion Diagnostics (Cdx)Design ControlsEu IvdrFda Regulatory RequirementsIndIvdMaaNdaPhase I/Ii/IiiSoftware As A Medical Device (Samd)
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
