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we are looking for a Senior Frontend Engineer to join our team!
What youll be doing:
We're seeking a talented and experienced Senior Frontend Engineer to collaborate with our dynamic Engineering team. You'll play a key role in delivering cutting-edge user-facing experiences for our security and identity products.
we stay ahead of the curve by embracing the latest technologies, frameworks, and best practices. You'll be responsible for building and maintaining our user-facing interfaces. This includes implementing new features, leveraging modern front-end technologies, and collaborating with cross-functional teams to design scalable and maintainable architectures.
You will be responsible for:
Translating designs (created in Figma) into functional and visually appealing user interfaces
Developing new features while ensuring the existing codebase remains robust
Partner closely with designers, product managers, and backend engineers
Implement a strong sense of aesthetics, with a commitment to pixel-perfect execution

We are seeking an exceptional Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practices for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.

You will:
Design and implement algorithms and software solutions for complex problems.
Develop high-quality, production-ready code in C++ and Python.
Take ownership of features and components from concept through implementation and validation.
Build prototypes, run experiments, and iterate quickly based on results.
Participate in code reviews, architecture discussions, and technical decision-making.
Document designs, trade-offs, and implementation details.

We are looking for a hands-on GTM Engineer to help make our Go-to-Market engine smarter, more efficient, and more effective. This role focuses on removing manual and administrative work from GTM teams, enabling humans to focus on strategy, creativity, and decision-making while systems handle execution and scale.

The GTM Engineer designs and operates HubSpot-centered GTM architecture and AI-powered automation that improves speed, accuracy, and scalability across Marketing, Sales, and SDR workflows.

What you will do:
Own day-to-day administration, configuration, and optimization of HubSpot across Marketing and Sales use cases.
Design and maintain GTM system architecture, including data models, lifecycle logic, routing, scoring, and automation frameworks.
Build, operate, and continuously improve AI-powered workflows that reduce manual work and increase GTM velocity.
Implement advanced automation using tools such as Clay, AI agents, and workflow orchestration platforms.
Integrate HubSpot with Salesforce and other GTM systems to ensure reliable data flow and process consistency.
Automate enrichment, qualification, routing, outbound support, and handoff processes across the funnel.
Monitor data quality, automation health, and system performance, proactively identifying and resolving issues.
Document system logic, workflows, and automation patterns to ensure maintainability and scalability.
Continuously experiment with new AI and automation approaches and apply them to practical GTM use cases.

Our team researches and develops a real-time parallel and distributed computing software infrastructure, which is used for the research, development and prototype of wireless signal processing algorithms (6G) with strict real-time constraints. We are looking for an outstanding student, who will take part in the research, architecture design, implementation and real-time performance optimization of the system.

We are looking for a talented Student Security Developer to join our team and contribute to developing core capabilities such as:
Large-scale malware analysis platforms that support on-demand malware execution and behavior monitoring.
Crawlers to identify emerging malware in the wild and perform malware behavior analysis.
Collaboration with OS internals experts, security researchers, and data scientists to research and implement advanced cybersecurity capabilities.
This is an exciting opportunity for a student to dive into the cybersecurity profession while gaining hands-on experience in cutting-edge technologies during their studies.
Responsibilities
Develop features autonomously, from ideation to production.
Collaborate with data scientists and security researchers to implement malware detection mechanisms.
Assist in designing and guiding performance, operational, and testing phases.

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.