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We are focused on development of innovative algorithms for the next generation Wireless (5G) telecommunication systems. As part of our team you will develop algorithms for compensation of nonlinear distortions in Wireless equipment.

We are focused on development of innovative algorithms for the next generation Wireless (5G) telecommunication systems. As part of our team you will develop algorithms for compensation of nonlinear distortions in Wireless equipment.

Development of the next generation of the augmented reality engine Huawei AREngine. Development of spatial sensors and algorithms for ARVR interaction. Development of interaction systems in virtual reality, generation
photorealistic avatars using artificial intelligence systems.

Development of the next generation of the augmented reality engine Huawei AREngine. Development of spatial sensors and algorithms for ARVR interaction. Development of interaction systems in virtual reality, generation
photorealistic avatars using artificial intelligence systems.

Development of algorithms of automatic white balance and color correction in smartphone camera's pipeline. Deep math analisys of color formation and processing. Both AI and non-AI techniques are being considered.

Development of algorithms of automatic white balance and color correction in smartphone camera's pipeline. Deep math analisys of color formation and processing. Both AI and non-AI techniques are being considered.

Development of next-generation Image Signal Processing algorithms, e.g. denoising, demosaicing, contrast enhancement and motion analysis, applied for still images and for video processing. Main challenges are the following:
1. capturing in special conditions: low or non-uniform illumination, bad weather (fog, rain, snow);
2. reduction of algorithm complexity to preserve smartphone battery and to provide high resolution and high frame rate video processing in real time;
3.using new deep learning approaches on neural processing units as a part of modern Huawei processors.

Development of next-generation Image Signal Processing algorithms, e.g. denoising, demosaicing, contrast enhancement and motion analysis, applied for still images and for video processing. Main challenges are the following:
1. capturing in special conditions: low or non-uniform illumination, bad weather (fog, rain, snow);
2. reduction of algorithm complexity to preserve smartphone battery and to provide high resolution and high frame rate video processing in real time;
3.using new deep learning approaches on neural processing units as a part of modern Huawei processors.

Research in data redundancy elimination domain. Development of brand new algorithms for deduplication and lossless data compression or improvement of existing algorithms to achieve higher data reduction ratio. Research variable size deduplication methods for usage in primary storage. Improve LZ class compression and entropy encoding methods (Huffman encoding, Final State Entropy encoding, Arithmetic encoding, Prediction by partial matching). Explore the use of artificial intelligence for lossless data compression. Optimize new or existing algorithms for ARM hardware platform to get high performance algorithms.

Research in data redundancy elimination domain. Development of brand new algorithms for deduplication and lossless data compression or improvement of existing algorithms to achieve higher data reduction ratio. Research variable size deduplication methods for usage in primary storage. Improve LZ class compression and entropy encoding methods (Huffman encoding, Final State Entropy encoding, Arithmetic encoding, Prediction by partial matching). Explore the use of artificial intelligence for lossless data compression. Optimize new or existing algorithms for ARM hardware platform to get high performance algorithms.

Challenging tasks for Video Surveillance and Camera directions requiring excellent knowledge of modern Computer Vision techniques based on convolutional neural nets using Deep Learning. Strong mathematical background is highly preferrable.

Challenging tasks for Video Surveillance and Camera directions requiring excellent knowledge of modern Computer Vision techniques based on convolutional neural nets using Deep Learning. Strong mathematical background is highly preferrable.

Development and optimization of Huawei Kunpeng architecture processor math library, to improve the efficiency of the math library;
Algorithms and database optimization technology to support the performance improvement of HPC and AI applications.

Development and optimization of Huawei Kunpeng architecture processor math library, to improve the efficiency of the math library;
Algorithms and database optimization technology to support the performance improvement of HPC and AI applications.

Combination of semantic analysis based program repair and ML-driven repair for regression tests fixes. To develop scalable approach for automatic fix of regression tests using symbolic execution approach. Machine learning can be used to propose potential fix of the regression test and helps to reduce the search space.

Combination of semantic analysis based program repair and ML-driven repair for regression tests fixes. To develop scalable approach for automatic fix of regression tests using symbolic execution approach. Machine learning can be used to propose potential fix of the regression test and helps to reduce the search space.

To implement ML-guided fuzzing technique based on open-source libFuzzer tool (part of LLVM). The thained ML model can helps to find the new bugs and increase coverage of the code.

To implement ML-guided fuzzing technique based on open-source libFuzzer tool (part of LLVM). The thained ML model can helps to find the new bugs and increase coverage of the code.

​Auto-completion tools integrated in IDE can significantly improve productivity of the developers. Auto-completion tools can be trained on open-source repositories, detect common code patterns and suggest most likely code completion. Smart auto-completion tools can be very useful for IDE of dynamic languages

​Auto-completion tools integrated in IDE can significantly improve productivity of the developers. Auto-completion tools can be trained on open-source repositories, detect common code patterns and suggest most likely code completion. Smart auto-completion tools can be very useful for IDE of dynamic languages

Design temporary storage similar to Jai for Java/Kotlin/other GC language, develop prototype and compare (performance, memory usage) with default implementation.

Design temporary storage similar to Jai for Java/Kotlin/other GC language, develop prototype and compare (performance, memory usage) with default implementation.

Design benchmark to measure GC and RC overheads (Kotlin  vs. Kotlin/Native) for mobile applications, focusing on performance, memory consumption, stop-the-world gaps

Design benchmark to measure GC and RC overheads (Kotlin  vs. Kotlin/Native) for mobile applications, focusing on performance, memory consumption, stop-the-world gaps

Enhance compiler inter-procedural and profile-guided optimizations for OS and mobile native libraries

Enhance compiler inter-procedural and profile-guided optimizations for OS and mobile native libraries

Game engines, real-time 3D graphics / image processing algorithms, including AR/VR/ray tracing, OpenGL ES and Vulkan graphics API and extensions support, Shader languages, advanced profiling and debugging tools, CPU/GPU/NPU co-optimization methods

Research and creating next generation of power consumption efficient 3D graphics algorithms and corresponding debugging and profiling tools, support new h/w features to bring impressive desktop level 3D graphics to mobile games

Game engines, real-time 3D graphics / image processing algorithms, including AR/VR/ray tracing, OpenGL ES and Vulkan graphics API and extensions support, Shader languages, advanced profiling and debugging tools, CPU/GPU/NPU co-optimization methods

Research and creating next generation of power consumption efficient 3D graphics algorithms and corresponding debugging and profiling tools, support new h/w features to bring impressive desktop level 3D graphics to mobile games

Core operating systems algorithms, compiler design (C / C++ / Java / Kotlin / new language), virtual machines, JIT optimizations, advanced profiling and debugging, HW-SW co-optimization techniques, advanced verification frameworks

Designing and creating next generation operating systems and corresponding development and analisys tools to enable applications for multi-language multi-device distributed environments (phones, tablets, watches, TVs, cars, panels, robots, etc.)

Core operating systems algorithms, compiler design (C / C++ / Java / Kotlin / new language), virtual machines, JIT optimizations, advanced profiling and debugging, HW-SW co-optimization techniques, advanced verification frameworks

Designing and creating next generation operating systems and corresponding development and analisys tools to enable applications for multi-language multi-device distributed environments (phones, tablets, watches, TVs, cars, panels, robots, etc.)

Development of innovative algorithms for next generation Wireless (5G Base Stations), Microwave (5G Backhaul) and Optical (Long haul 400G) telecommunication systems. Participation in development of system level architecture of radio and optical transmitters and receivers, estimation of feasibility, analysis of risks and difficulties.
Focus on modern signal processing techniques in digital domain, correction of imperfection of analog devices (power amplifiers, up/down converters, local oscillators, passive intermodulations, Mach-Zehnder modulators, lasers and photodiodes).
Research and simulation of digital signal processing algorithms, such as adaptive filtering, nonlinear predistorters and equalizers, I/Q correction, PAPR reduction, phase noise compensation, etc.

Development of innovative algorithms for next generation Wireless (5G Base Stations), Microwave (5G Backhaul) and Optical (Long haul 400G) telecommunication systems. Participation in development of system level architecture of radio and optical transmitters and receivers, estimation of feasibility, analysis of risks and difficulties.
Focus on modern signal processing techniques in digital domain, correction of imperfection of analog devices (power amplifiers, up/down converters, local oscillators, passive intermodulations, Mach-Zehnder modulators, lasers and photodiodes).
Research and simulation of digital signal processing algorithms, such as adaptive filtering, nonlinear predistorters and equalizers, I/Q correction, PAPR reduction, phase noise compensation, etc.

Leadership position in a team pushing boundaries at the very core – on system software level. Performance and memory size analysis and optimization, development of advanced features and optimizations in both proprietary and open-source toolchains and system software components.

Leadership position in a team pushing boundaries at the very core – on system software level. Performance and memory size analysis and optimization, development of advanced features and optimizations in both proprietary and open-source toolchains and system software components.

The real world, outside of traditional bounds, is inherently nonlinear. The further evolution of Radio and Optical telecommunications requires sophisticated approaches for mitigation and compensation of nonlinear imperfections of devices and channels. In this lecture we will provide overview of typical nonlinear DSP algorithms, including crest factor reduction (CFR), digital predistortion (DPD) and nonlinear equalization (NLE). We will demonstrate on some examples how they increase performance and efficiency of telecommunication systems, reduce its cost and power consumption. Additionally we will show close connection of these topics with machine learning and neural networks, which is very popular now.

We live in the fast changing world - in the next decade we will become even more integrated with the numerous devices around us, on us and inside us. But all these devices will be managed by software and the most important part of the software is system software – the hidden part of the “iceberg” that actually enables everything else to work – operating systems, core algorithms, network stack, graphics engines, development tools. This talk will present Huawei’s vision on the next generation of such technologies that will “drive the world” in 2020s.

Massive-MIMO is one of the main trend in 5G networks, especially for mmWaves.
This lecture belongs to practical problems of massive-MIMO systems, which appear due to growth of spatial precision in wireless communication. But there are a lot of limitation to keep minimal error in parameter measurements to satisfy of the requirements for such precision systems. In the lecture we try to identify sources of the error, system robustness to these errors, and ways to minimize their impact. Also, it will be mentioned complexity problem for growth system dimensions. And how distributed approach can be used to overcome such problem.