Pisa, Tuscany, Italy · On-site
$50k–$60k/yr
Position Summary: Huawei’s Pisa Research Institute is a core innovation hub in the field of automotive software and embedded systems. We are looking for a highly motivated researcher to join our AI platform team and cont…
Skills: Post-Training Optimization, Mixture-of-Experts (MoE), Model Compression, Quantization, Pruning
Munich, Bavaria, Germany · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Field Force Management, Account Management, KPI Governance, Solar PV Solutions, Battery Energy Storage Systems
Pisa, Tuscany, Italy · On-site
$50k–$60k/yr
Huawei’s Pisa Research Institute is a core innovation hub in the field of automotive software and embedded systems. We are looking for a researcher passionate about the convergence of artificial intelligence and software…
Skills: Artificial Intelligence, Software Engineering, Agent Systems, Large Language Models, Python
Munich, Bavaria, Germany · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Channel Management, Solar Industry Expertise, Electrical Schematic Interpretation, Negotiation, Presentation Skills
Vilnius, Vilnius County, Lithuania · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: PV Systems, BESS, Medium-Voltage Systems, Commissioning, Electrical Troubleshooting
Woluwe-Saint-Pierre - Sint-Pieters-Woluwe, Brussels, Belgium · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Solution Design, Network Assessment, Product Management, Datacom, Sales Strategy
Capital City of Prague, Prague, Czechia · On-site
Technik základnových stanic /BSS FLM Engineer Brno, Czech Republic Co budeš dělat: • servis základnových stanic operátorů Vodafone a T-Mobile • řešit poruchy GSM, UMTS, LTE a přenosových technologií • zajišťovat preventi…
Skills: GSM, UMTS, LTE, IP Technologies, Preventive Maintenance
Boulogne-Billancourt, Ile-de-France, France · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Business Development, Account Management, Electrical Engineering, UPS Systems, Low-Voltage Power Supply
Sesto San Giovanni, Lombardy, Italy · On-site
$50k–$60k/yr
At the Milan Aesthetic Research Center (MARC), design is not just a discipline — it’s a cultural engine. MARC is one of Huawei’s global research hubs dedicated to shaping the emotional and aesthetic identity of future ca…
Skills: Automotive Design, 2D Sketching, 3D Digital Rendering, Blender, Clay Modeling
Milan, Lombardy, Italy · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Compliance Risk Management, Risk Assessment, Anti-bribery and Corruption, Competition Law, Financial Compliance
Boulogne-Billancourt, Ile-de-France, France · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Compliance Risk Management, Anti-Bribery and Corruption, Competition Law, Financial Compliance, Trade Compliance
Boulogne-Billancourt, Ile-de-France, France · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Business Development, Lead Generation, Account Management, Market Analysis, Negotiation
Tampere, Pirkanmaa, Finland · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Machine Learning, Automatic Speech Recognition, Computer Vision, Computer Graphics, Cyber Security
Warsaw, Masovian Voivodeship, Poland · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Project Engineering, Commissioning, Troubleshooting, Site Survey, Electrical Schematic Interpretation
Warsaw, Masovian Voivodeship, Poland · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Project Engineering, Commissioning, Troubleshooting, Site Survey, Electrical Schematic Interpretation
Munich, Bavaria, Germany · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: Wireless Network Portfolio, Go-To-Market Strategy, Product Positioning, Presales, Technical Solution Mastery
Zurich, Zurich, Switzerland · On-site
Who we are Huawei is a global ICT leader, with 180,000 employees and solutions used in 170+ countries, serving one-third of the world’s population. Our Switzerland Research Center - Zurich focuses on advanced research in…
Skills: Battery modeling, Lithium-ion battery chemistry, MATLAB, Simulink, Python
Bucharest, Romania · On-site
About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart device…
Skills: VAT, CIT, WHT, SAF-T, Tax Compliance
Dusseldorf, North Rhine-Westphalia, Germany · Hybrid
Stellenbeschreibung – Alliance Manager Deutsche Telekom Region Nordrhein-Westfalen (Deutschland) Bereich: Carrier Partner Development / Enterprise Business Fokus: B2B-Geschäft mit Deutsche Telekom (TDG) Über die Rolle Al…
Skills: B2B Sales, Partner Management, Business Development, Pipeline Management, Joint Sales Planning
Capital City of Prague, Prague, Czechia · On-site
$50k/mo
About Huawei At Huawei, we believe technology should bring people closer, open new opportunities, and make life smarter and more connected. As a global leader in information and communications technology (ICT) and smart …
Skills: Technical Support, Customer Communication, MS Office, Renewable Energy, Power Systems
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The role focuses on developing efficient AI models for intelligent vehicles and edge computing, specifically through post-training techniques and MoE architectures. The engineer will optimize model deployment across heterogeneous platforms like GPUs and NPUs to meet strict latency and power constraints.
Candidates must hold a Master's or PhD in Computer Science, AI, or a related field with strong expertise in transformer architectures and PyTorch. Experience in model optimization, edge AI, or publications in top-tier conferences is highly valued.
Position Summary:
Huawei’s Pisa Research Institute is a core innovation hub in the field of automotive software and embedded systems. We are looking for a highly motivated researcher to join our AI platform team and contribute to the development of next-generation models for intelligent vehicles and edge computing systems. The successful candidate will focus on post-training techniques, efficient Mixture-of-Experts (MoE) architectures, and deployment optimization on resource-constrained platforms. Working closely with system software, compiler, and hardware teams, the candidate will help bridge cutting-edge AI research and real-world automotive applications.
Key Responsibilities:
Investigate advanced post-training approaches for large language models and multimodal foundation models, including supervised fine-tuning, preference alignment, reinforcement learning-based optimization, and knowledge distillation.
Explore efficient MoE architectures and sparse inference mechanisms that enable high-quality intelligence under strict latency, memory, and power constraints.
Develop and evaluate model compression techniques such as quantization, pruning, and low-rank adaptation, while also optimizing inference performance across heterogeneous computing platforms including CPUs, GPUs, NPUs, and automotive SoCs.
The role further involves benchmarking state-of-the-art open-source models, collaborating with software platform teams to improve deployment efficiency, and contributing to research publications, patents, and technical innovation initiatives.
Basic Qualifications:
Candidates should hold a master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a closely related field.
A strong understanding of transformer architectures, large language models, and modern deep learning techniques is required.
Experience with PyTorch and distributed training frameworks is expected, while previous research experience in model optimization, efficient AI, edge AI, or foundation models will be highly valued.
Publications in top-tier conferences or demonstrated open-source contributions are considered a strong advantage.
What we offer:
We offer an exciting career opportunity to contribute to shaping the future of automotive computing. You will join a multidisciplinary research team working on some of the most challenging topics in AI, software systems, and intelligent vehicles, driving innovation in next-generation mobility technologies. The position provides access to real-world datasets, large-scale computing resources, international collaboration opportunities, and a clear pathway to transform scientific research into impactful technologies deployed at scale.
We offer a gross annual salary typically ranging from €50,000 to €60,000 determined according to objective criteria such as professional experience, competencies, and seniority. Employees may also be considered for a discretionary annual bonus ranging from 0 to 2 monthly salaries, subject to company evaluation. The applicable collective bargaining agreement is the CCNL Telecommunications, within level 6°.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees. House Rules This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions. To facilitate dialogue, please follow these rules: - Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations. - Repeated violations of any of the above will be removed and users may be blocked. - Huawei does not necessarily endorse the information shared by members. - Please be familiar with and follow LinkedIn's User Agreement. - By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited. Please visit the below portals for career or customer service queries. Career page: http://bit.ly/2rdljD7 Customer service: http://bit.ly/2a4mXNY Thank you for visiting us & we hope you enjoy your time on our page.
Offices: Huawei Technologies Co., Ltd., Section H, Huawei Industrial Base, Bantian, Longgang District, Shenzhen, Guangdong 518129, CN · Kronborgsgränd 21, Kista, Stockholm, 16446, SE · Tower A, Level 11, 799 Pacific Highway, Chatswood, NSW 2067, AU · 5700 Tennyson Parkway, Plano, Texas 75024, US · Karspeldreef 4, Stationsplein 4, Amsterdam, 1101CJ, NL
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees. House Rules This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions. To facilitate dialogue, please follow these rules: - Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations. - Repeated violations of any of the above will be removed and users may be blocked. - Huawei does not necessarily endorse the information shared by members. - Please be familiar with and follow LinkedIn's User Agreement. - By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited. Please visit the below portals for career or customer service queries. Career page: http://bit.ly/2rdljD7 Customer service: http://bit.ly/2a4mXNY Thank you for visiting us & we hope you enjoy your time on our page.
Offices: Huawei Technologies Co., Ltd., Section H, Huawei Industrial Base, Bantian, Longgang District, Shenzhen, Guangdong 518129, CN · Kronborgsgränd 21, Kista, Stockholm, 16446, SE · Tower A, Level 11, 799 Pacific Highway, Chatswood, NSW 2067, AU · 5700 Tennyson Parkway, Plano, Texas 75024, US · Karspeldreef 4, Stationsplein 4, Amsterdam, 1101CJ, NL
