לוח משרות דרושים מהנדס תוכנה משרה מלאה

What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

What will you be doing?
Complex static code analysis to determine possible bottlenecks and time-consuming operations within the code of AI model for inference
Architecture, design and implementation of compilation passes, compiling high-level languages to a unique HW
Take initiative to solve technical and business problems
Collaborate with other development and product teams in our company and in China to ensure the successful implementation and delivery of a solution.

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.

We are seeking a Performance Engineer to join our Core department. In this pivotal role, you will lead performance engineering efforts across our company, working closely with the entire R&D department.
Your mission is establishing and implementing a comprehensive non-functional testing strategy to ensure system performance, stability, and availability.
You will identify potential bottlenecks, define testing standards, and collaborate with development teams to optimize our platforms performance.
Responsibilities:
Establish a holistic non-functional testing strategy for system performance, stability, and availability.
Define test code standards, tools, monitoring, and troubleshooting procedures.
Acquire deep knowledge of system architecture to identify and mitigate potential performance bottlenecks and risks.
Validate the performance of new product capabilities alongside product design and development.
Document performance requirements and metrics, working with development teams to implement them.
Generate performance reports and metrics, providing insights and recommendations for improvements.
Lead performance testing efforts, including load, stress, and scalability testing.
Implement and utilize application monitoring and observability tools to detect and resolve performance issues proactively.
Collaborate across teams to ensure performance considerations are integrated throughout the software development lifecycle.
Mentor and guide team members, promoting best practices in performance engineering.

We are looking for a Senior DevOps Engineer to join our DevOps team. In this role, you will take ownership of the production environment, lead strategic operational processes, and partner closely with R&D teams to drive reliability, scalability, and automation across the organization. You will be responsible for designing, building, and evolving our infrastructure and automation solutions, with a strong emphasis on modern DevOps best practices.
Responsibilities
Own and maintain a mature, stable, and secure production environment
Collaborate with cross-functional engineering teams to support development and delivery processes
Design and implement best-practice CI/CD solutions, especially for microservices architectures
Maintain, upgrade, and take end-to-end ownership of Kubernetes clusters (EKS)
Build, manage, and optimize the companys cloud infrastructure.

We are looking for an AI & Automation Engineer to design, build, and enable enterprise AI infrastructure and automation solutions.
This role focuses on AI architecture, workflow automation across IT and business applications, and monitoring, governance, and cost management of AI tools and agents.
You will work at the intersection of AI platforms, IT operations, and business automation, enabling scalable, secure, and cost-effective AI adoption across the organization.
Responsibilities:
Select and integrate AI tools, frameworks, and platforms aligned with enterprise IT standards.
Ensure scalability, security, reliability, and compliance of AI infrastructure.
Enable AI solutions from concept to production, including:
AI-powered IT tools
AI agents and copilots
AI services integrated into business applications
Collaborate with IT, DevOps, Security, and Business teams to deploy AI solutions smoothly.
Build reusable AI enablement patterns, templates, and best practices.
Automation of Workflows
Design and implement automation of IT and business workflows using AI and orchestration tools.
Integrate AI agents into:
IT operations (ITSM, monitoring, incident response)
Business applications and internal systems
Improve efficiency, reliability, and user experience through intelligent automation.
AI Monitoring, Usage & Financial Governance
Define and implement monitoring for AI systems, including:
Usage tracking
Performance and reliability
Model and agent behavior
Track and analyze financial usage and cost of AI tools, APIs, and platforms.
Establish governance frameworks for responsible and controlled AI usage.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.

Were looking for a strong software engineer who can own complex problems, turn them into crisp technical requirements, and deliver robust solutions within our distributed system.
You will join a team that owns the host layer between applications and hardware, including Linux kernel/OS integration, Docker engine, system security hardening and features, and other foundational infrastructure.
The work is hands-on, performance- and reliability-critical, and involves investigating and researching complex flows across the stack (hardware, kernel, userspace, containers).
What success looks like
You deliver changes that are secure, observable, and maintainable.
You collaborate with application teams and hardware/firmware engineers to unblock system-level issues.
You can explain tradeoffs (performance vs. safety vs. complexity) and defend design decisions.

Were looking for a talented Software Engineer to join our CI team, a dedicated software engineering team within the DevOps group. Our team designs, builds, and maintains the systems that power our continuous integration (CI) environment - including developing AI-driven agents to enhance and optimize CI workflows.
The ideal candidate has a strong software engineering background and an interest in building tools, systems, and services that support large-scale development environments.

We are seeking an Embedded Software Technical Lead who combines strong hands-on development expertise with the ability to guide a team technically. This role involves leading the design and development of new features, ensuring code quality, supporting customers when needed, and fostering collaboration and continuous improvement across the organization.
Responsibilities
Engage in hands-on software development, debugging, and troubleshooting on embedded targets, working closely with the team.
Lead technical efforts for new features, ensuring reliability, scalability, and high performance.
Improve software quality by conducting code reviews, mentoring team members, and promoting best practices.
Provide customer support when necessary, addressing technical issues efficiently.
Encourage a culture of open communication and feedback within the team and across teams.