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27/08/2025
חברה חסויה
Location: Yokne`am
Job Type: Full Time
we are looking for an experienced HPC DevOps Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What youll be doing:
Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.
Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.
Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.
Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.
Requirements:
B.Sc. in Computer Science, Engineering, or a related field with 5+ years of experience.
Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles.
Familiarity with Jenkins, Ansible, Puppet/Chef.
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu), networking and OS-level security.
Deep understanding of networking protocols such as InfiniBand and Ethernet.
Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.
Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.
Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix).
Familiarity with cloud platforms (AWS, Azure, Google Cloud).
Ways to stand out from the crowd:
Architectural Insight: Knowledge of CPU and/or GPU architecture.
Container Expertise: Understanding of Kubernetes and container-related microservice technologies.
GPU Focus: Experience with GPU-focused hardware/software (DGX, CUDA).
RDMA Fabrics: Background with RDMA (InfiniBand or RoCE) fabrics.
This position is open to all candidates.
 
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27/08/2025
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
we are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our company's vision?
What you will be doing:
Engage with our partners and customers to root cause functional and performance issues reported with NCCL
Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters
Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)
Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters
Document and conduct trainings/webinars for NCCL
Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.
Requirements:
B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience working with engineering or academic research community supporting HPC or AI
Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control
Expert in Linux fundamentals and a scripting language, preferably Python
Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)
Adaptability and passion to learn new areas and tools
Flexibility to work and communicate effectively across different teams and timezones
Ways to stand out from the crowd:
Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments
Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow
Deep understanding of technology and passionate about what you do.
This position is open to all candidates.
 
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27/08/2025
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
we are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize our company's vision?
What you will be doing:
Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
Triage and root-cause performance issues reported by our customers
Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
Collaborate with a very dynamic team across multiple time zones.
Requirements:
M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience
3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Experience conducting performance benchmarking and triage on large scale HPC clusters
Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
Implement micro-benchmarks in C/C++, read and modify the code base when required
Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Ways to stand out from the crowd:
Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
Experience debugging network issues in large scale deployments
Familiarity with CUDA programming and/or GPUs
Experience with Deep Learning Frameworks such PyTorch, TensorFlow.
This position is open to all candidates.
 
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28/08/2025
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
we are at the forefront of the AI revolution, delivering cutting-edge accelerated compute platforms for global impact. Our Network Insights group is seeking a talented and motivated Sr. DevOps Engineer to architect, scale, and optimize the DevOps infrastructure supporting our advanced networking simulation services. In this high-impact role, you will lay the foundations to scale a key insight product to reach 10100 times more users, design robust CI/CD pipelines, drive automation, and ensure the reliability, scalability, and security of our cloud-based, and on-prem platforms.. If you are passionate about solving complex infrastructure challenges and enabling world-class software delivery, we want to hear from you.
What You'll Be Doing:
Architect and optimize CI/CD pipelines for large-scale, high-availability simulation services, ensuring fast, reliable, and secure deployments.
Drive automation across infrastructure provisioning, configuration management, and monitoring to support rapid development cycles and minimize manual intervention.
Collaborate with software engineering and product teams to design and implement scalable, cloud-native solutions that meet evolving business needs.
Promote standard processes in infrastructure as code, containerization, and cloud security, ensuring compliance and resilience across environments.
Monitor, troubleshoot, and resolve infrastructure and deployment issues, maximizing uptime and ensuring efficient performance for internal and external customers.
Evaluate and integrate new tools and technologies to continually enhance the reliability, observability, and efficiency of our DevOps ecosystem.
Participate in incident response and post-mortem processes, driving root cause analysis and systemic improvements.
Requirements:
BSc or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ overall years of hands-on experience in DevOps or Site Reliability Engineering roles.
Proven expertise in designing, building, and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, or similar).
Deep knowledge of cloud platforms (AWS, preferably), On-Prem deployment, container orchestration (Kubernetes, Docker), and infrastructure as code.
Strong scripting and automation skills (Python, Bash, or similar).
Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, etc.).
Proven understanding of security standard methodologies in cloud & on-prem DevOps environments.
Excellent communication and interpersonal skills, with a track record of multi-functional collaboration.
Experience supporting large-scale, high-availability production systems.
Ways to Stand Out From the Crowd:
Prior background in networking or simulation environments.
Prior experience with building a new team from the grounds up.
Familiarity with performance tuning and cost optimization in cloud and on-prem environments.
Experience with building CI/CD pipelines from the ground up.
This position is open to all candidates.
 
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04/09/2025
Location: More than one
Job Type: Full Time
we are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. we are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
We are looking for highly motivated DevOps and Automation Engineer to join our software infrastructure team. In this role, you'll build and enhance the systems that support large-scale GPU clustersinterconnected via NVLink and InfiniBandthat run today's most fast paced HPC and AI workloads.
What you will be doing:
Build and maintain CI/CD pipelines that support fast, reliable integration and deployment across complex systems.
Design tools and automation workflows that simplify software releases, manage dependencies, and increase reliability.
Accelerate development by modularizing systems and enabling independent release cycles.
Build infrastructure automation for provisioning, scaling, and maintaining GPU clusters.
Automate software updates and monitor system health to improve reliability and availability.
Troubleshoot and resolve operational issues across distributed infrastructure.
Manage firmware and software rollouts to minimize downtime and ensure consistency.
Work with global engineering teams to align infrastructure tools and support project achievements.
Requirements:
BS or MS in Computer Science, Computer Engineering, or a related field
5+ years of experience managing infrastructure or systems in high-performance or distributed environments.
Expertise in scripting and automation using Python, Ansible, and Shell.
Practical experience with modern CI/CD tools and infrastructure-as-code frameworks.
Strong understanding of Linux, networking, and distributed system design.
Proven ability to break down monolithic systems into scalable, loosely coupled components.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Experience with cluster management tools like Slurm.
Familiarity with our company DGX/HGX systems and GPU-based clusters.
Knowledge of observability tools such as Prometheus and Grafana.
Proven ability to lead DevOps process improvements and drive team efficiency.
This position is open to all candidates.
 
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27/08/2025
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
we are leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.
DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our company's vision?
What you will be doing:
Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
Design and implement new communication technologies to accelerate AI and HPC workloads.
Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.
Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).
Requirements:
M.S./Ph.D. degree in CS/CE or equivalent experience.
5+ years of relevant experience.
Excellent C/C++ programming and debugging skills.
Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
Deep understanding of operating systems, computer and system architecture.
Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
Strong experience with Linux.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Expertise in related technology and passion for what you do. Experience with CUDA programming and our company GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.
Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.
Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.
This position is open to all candidates.
 
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28/08/2025
Location: Yokne`am
Job Type: Full Time
we are seeking an exceptional DevOps & Software Engineer to join our innovative development team. This team is at the heart of our companys software infrastructurebuilding and maintaining a wide range of solutions including internal cloud environment, scalable build systems, automation frameworks and AI-driven tools. You will have a direct impact on our companys products and development workflows. This role blends hands-on development with deep DevOps practices. Its ideal for engineers passionate about scalability, infrastructure, automation, and modern development platforms.
What Youll Be Doing:
Develop and maintain internal cloud solutions based on a microservices architecture to enable efficient, high-quality software development and delivery.
Design and implement automation tools, infrastructure services, and advanced build systems.
Work across a wide variety of operating systems, building virtualization and system-level capabilities.
Provide resilient solutions for a sophisticated infrastructure stack with the latest network devices.
Contribute to a positive and collaborative team culture that values creativity and agility.
Partner with engineering teams across our company to deliver scalable and reliable infrastructure solutions.
Requirements:
B.Sc. in Computer Science, Computer Engineering, or equivalent technical field.
5+ years of hands-on experience in software development or DevOps roles.
Proficiency in Python and familiarity with Linux environments.
Solid understanding of software design, implementation, and debugging.
Strong analytical skills, ability to troubleshoot complex systems.
Self-driven, quick learner, comfortable with multitasking and dynamic environments.
Ways to Stand Out from the Crowd:
Experience with virtualization and operating system internals.
Familiarity with tools like Kubernetes, Rancher, MongoDB, Redis, Docker, Vagrant, Ansible, or similar.
Strong background in CI/CD practices, particularly using Jenkins and infrastructure-as-code.
Knowledge of networking fundamentals and protocols.
Prior experience with cloud infrastructure or grid computing environments.
This position is open to all candidates.
 
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28/08/2025
חברה חסויה
Location: Yokne`am
Job Type: Full Time
we are seeking a highly skilled DevOps Engineer to join our Networking IC Product Engineering Group (ICPE). This is a unique opportunity to become a cornerstone of our DevOps practice, owning the critical systems that power our engineering innovation. Youll be responsible for the entire DevOps lifecyclefrom robust CI/CD pipelines to production line package releasesdriving efficiency, scalability, and reliability across the organization. You will work with a high degree of autonomy, expected to independently lead initiatives, design and implement optimal solutions, and collaborate with both internal stakeholders and external partners. If you're a self-motivated engineer who thrives in dynamic environments, takes initiative without waiting for direction, and enjoys improving and scaling engineering ecosystemswe want you with us.
What Youll Be Doing:
Develop and maintain robust, scalable CI/CD pipelines to ensure seamless software integration and delivery.
Collaborate with cross-functional teams to enhance build system reliability and efficiency.
Monitor, troubleshoot, and optimize system performance to ensure continuous, reliable operation.
Diagnose and resolve complex issues affecting the stability and performance of development and production environments.
Requirements:
Bachelor's degree in computer science, computer engineering, or equivalent experience.
5+ years of hands-on experience in CI/CD pipeline development and automation (e.g., Jenkins, GitLab CI/CD).
5+ years of experience in Python development.
5+ years of working with Linux distributions (e.g., RedHat, Ubuntu).
Proficiency in scripting languages (e.g., Bash, Ruby, Groovy) in a Unix/Linux environment.
Strong background in configuration and deployment management.
Expertise in version control systems (e.g., GitLab, Gerrit).
Exceptional problem-solving skills, with a focus on identifying root causes and implementing long-term fixes.
Excellent communication and interpersonal skills; strong team spirit and cross-team collaboration mindset.
Proven ability to work independently, prioritize tasks, and drive initiatives without constant supervision.
Ways To Stand Out From The Crowd:
Experience with PyTest or other testing frameworks.
Previous leadership experience or a track record of mentoring/team-leading.
Familiarity with databases (e.g., MongoDB or similar).
Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
This position is open to all candidates.
 
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04/09/2025
חברה חסויה
Location: Yokne`am
Job Type: Full Time
we are looking for a Data Engineer Technical lead to join Networking Clusters Solutions group. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines for our clusters performance analysis, cluster management and monitoring solutions. You will dive into emerging technologies, define and prove concepts, and identify or create the necessary frameworks. Your responsibilities will include defining and implementing large-scale telemetry pipelines, ensuring data integrity, and designing simulation solutions and other innovative technologies. You will also design and optimize data architecture to support robust and scalable systems. Networking Cluster Solutions (NCS) group is responsible to build the biggest AI clusters in our company Israel to qualify and optimize our company Networking solutions at scale.
What You'll Be Doing:
Define and implement the groups data technical roadmap, ensuring alignment with teams inside and outside the group
Oversee the quality, performance, and maintainability of the data analytics codebase and delivered solutions
Drive best practices in software engineering, data modelling, data quality, code quality, security, observability, and operational excellence
Build high-performance pipelines with advanced data integrity control of NCS group
Define and build NCS group different pipelines and reports for HPC & AI clusters performance, telemetry and E2E tests coverage.
Requirements:
B.Sc. or M.Sc. in Computer Engineering or Computer Science
10+ years of experience in development
Hands-on experience with ETL tools (Airflow, , etc.) and streaming frameworks (Kafka, Spark)
Experience with modern analytic tools and platforms such as Data Bricks, etc.
Perfect understanding of telemetry solutions at scale and automation technologies, along with modern application platforms and paradigms
Advanced coding skills agnostic to development languages and tools, from ETL pipelines to standalone solutions
Ways To Stand Out From The Crowd:
Familiarity with cloud-native development and deployment methodologies
Experience with public cloud solutions (AWS, GCP, Azure)
Background in data center design and technologies
Experience with large-scale data processing systems
Existing contributions to open-source communities.
This position is open to all candidates.
 
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04/09/2025
Location: More than one
Job Type: Full Time
we are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. we are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
We are looking for highly motivated Senior Software Engineers to work on our GPU NVLink Fabric Networking team. Youll be part of a team responsible for defining the next generation communications standards and products building on our current NVLink and NVSwitch technology.
What you will be doing:
Design, develop, and maintain system-level software to enable high-performance GPU-to-GPU communication.
Collaborate closely with cross-functional teams including hardware, firmware, system software to build and deliver next-generation GPU networking solutions.
Contribute to scalable and reliable GPU fabric architecture for large compute clusters.
Align software development with customer needs and real-world deployment environments.
Requirements:
B.S/M. S/ Ph.D. in computer science or a related field with 5+ years of relevant experience.
Excellent C/C++ programming and debugging skills, with some familiarity with Python.
Experience writing software applications that interface with device drivers and expose associated hardware functionality.
Solid understanding of computer system architecture, operating system and kernel internals.
Experience with Linux development; familiarity with Windows is a plus.
Background in multi-core / multi-process / multi-threaded programming environment.
Strong understanding of networking fundamentals and high-performance interconnection (e.g., InfiniBand, Ethernet)
Familiarity with OS virtualization technologies like KVM/QEMU/Hyper-V, etc.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Understanding of CUDA programming model and our company GPUs.
Knowledge of memory coherence and consistency models.
Familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques.
This position is open to all candidates.
 
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8333391
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
28/08/2025
Location: Yokne`am
Job Type: Full Time
our companys Networking Performance team develops advanced software tools that drive the optimization of the worlds fastest networking technologies. Our mission spans benchmarking, telemetry capture, and performance analysis, enabling both our company's R&D teams and our company's customers across the industry to root-cause bottlenecks, maximize throughput, and achieve world-class performance for AI and HPC workloads.
We are looking for a Senior Software Engineer to lead the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.
What you'll be doing:
Design and implement performance benchmarking frameworks for next-generation AI and HPC workloads
Take full technical ownership of our core telemetry engine
Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools
Collaborate with experts in networking, AI, and systems to translate performance engineering needs into powerful software solutions
Enhance our DevOps, owning the CI/CD pipelines and release processes for your projects
Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.
Requirements:
B.Sc. in Computer Science, or a related engineering field
5+ years of professional software development experience
A proven track record of technical ownership, making key architectural decisions, driving a technical agenda, and problem solving
Expert-level Python development skills, building robust, well-structured, production-grade applications
C/C++ experience, especially for performance-critical or low-level components
Experience with modern CI/CD pipelines and DevOps practices
Ways to stand out from the crowd:
Linux systems knowledge, including software packaging (RPM, DEB), and an understanding of the complexities of software distribution and dependencies
Experience with the Python data analysis and visualization frameworks (e.g., h5py, pandas, NumPy, Matplotlib/Plotly)
Experience with Slurm, Kubernetes, MPI, or other distributed job orchestration and cluster management systems
Familiarity with agentic AI concepts or frameworks (e.g., RAG techniques, LangChain, LangGraph, LlamaIndex, etc.)
Experience contributing to open-source projects.
This position is open to all candidates.
 
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8324017
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