לוח משרות דרושים

We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, youll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.
Responsibilities:
Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.

We are looking for a We are looking for a.
As a Big Data Team Lead, you will lead a core team focused on the ingestion of big data and the development of core algorithms. Your role will involve building scalable and robust solutions for processing massive geospatial datasets, including spatially-focused algorithms. You will also be responsible for developing innovative big data solutions to ensure accuracy and efficiency within a fast-paced and evolving technical ecosystem. This position requires a passionate leader with a strong background in big data technologies and a drive to innovate.
RESPONSIBILITIES:
Lead and manage a big data engineering team, focused on processing high-volume spatial-temporal data, while also engaging in hands-on technical tasks.
Collaborate daily with product managers, R&D stakeholders, and data scientists to translate requirements into robust data systems.
Prioritize and scope incoming feature requests and technical improvements to balance innovation with stability.
Maintain and evolve the teams Apache Spark-based data pipelines, including optimization and scaling.
Lead technical planning sessions, foster ownership and accountability within the team.
Drive project-level KPIs and data quality KPIs such as pipeline completion time, job reliability, data freshness metrics and data accuracy.
Manage 36 direct reports.

mPrest Energy is looking for an experienced Project Manager to join our team. We are a global leader in developing advanced DERMS solutions, enabling utilities to manage, optimize, and control distributed energy resources such as solar PV, energy storage, and other smart grid technologies.

Responsibilities:
The Project Manager will: • Determine and define project scope and objectives • Plan and oversee project resources and budgets needed to achieve objectives and in an effective and efficient manner • Track project costs to meet budget • Develop and manage a detailed project schedule and work plan • Provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress • Utilize industry best practices, techniques, and standards throughout entire project execution • Monitor progress and adjust as needed • Measure project performance to identify areas for improvement • be responsible for managing and coordinating communications and delivery between the customer, and mPrest’s SW Development & Delivery teams, Quality Assurance, PMO, IT, HR and all relevant stakeholders, ultimately leading to a successful delivery.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

Join a fast-growing company, disrupt billion dollars industry and improve millions of lives with unique medical device solutions.
Your challenge will be to support the establishment of a new exciting business category in the US market in a challenging phase of aggressive growth and competitive environment.
This role offers the unique opportunity to achieve a 360-degree view on go to market, product, marketing, and business aspects under the umbrella of a world leading organization.
As a Product Marketing Director you will own the marketing, product and business strategy and deployment of a winning new market category.
Main Duties:
Own the go-to-market and marketing strategy and implementation of the assigned product portfolio across the different organizational functions and regional entities
Take an active part in the product strategy and roadmap discussions of new products and their introduction to the market
Develop the products key value proposition and messaging per key stakeholders throughout the conversion funnel, and develop sales and marketing, competitive and
economic tools.
Work closely with global markets and partners and actively drive the relationship, and translation of global marketing strategy to regional strategy
Develop global go-to-market strategies (segmentation, targeting, positioning, pricing) to drive market share and profitable growth
Perform business intelligence, market & competitive analysis and translate them into actionable business goal
In cooperation with the Clinical department, developing educational tools and programs for customers on the clinical value and product use to drive adoption of our offering in
the field.
Be the Global Product Champion! Instill a sense of excitement about our products within the organization, and the relevant community, and drive growth throughout our global
markets.

Job Responsibilities:
1. Responsible for the exploration and introduction of open academic resources in the ICT and related fundamental theory fields in the region, including academic papers, academic activities, competitions, open datasets, etc..
2. Develop targeted resource expansion strategies based on the characteristics of the regional academic ecosystem (e.g., top local universities, research institutions, industry alliances) to enhance the platform's academic influence locally.
3. Monitor regional academic trends, identify high-value collaboration opportunities (e.g., regional academic conferences), and promote resource alignment and implementation.
4. Resolve regional issues in the resource implementation process (e.g., data compliance, localization of copyright agreements, language adaptation, etc.).
5. Collaborate with cross-functional teams to organize regional academic activities (e.g., technical seminars) to enhance Chasparks brand penetration in the local academic circle.
6. Establish a regional expert network (e.g., scholar advisory board, review committee) to support platform content quality assessment and resource screening.