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Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Key Responsibilities:
Key Technologies & Skills:
Minimum Qualifications:
Preferred Qualifications (Provide up to five (5) bullet points: these can include soft skills)
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We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.
If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.
As a Test Automation Engineer at Cisco, your contributions will:
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Looking forward to getting an exciting start to your career? You will bring your outstanding talents to the group that works on Cisco's Switching technology, which large enterprises now consider to be the Networking Equipment of choice for critically important networks. In your role as a Software Engineer, you will develop and integrate products that are deployed by some of the leading Enterprises in the world. You will work with a BU-wide vibrant technical community, learning from experts and translating this learning into exciting opportunities for personal growth. You will work on networking equipment that forms a crucial backbone of many offices, hospitals, educational and financial institutions. You will learn about ground breaking technologies and platforms while developing software for these equipments. Experience the exhilaration of taking a product through development and integration.
Minimum Qualificationsמשרות נוספות שיכולות לעניין אותך

Minimum Qualifications:
We are seeking a Software Engineer with 4+ years withBachelor’s or equivalent experience or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field.
Preferred Qualifications (Good to have)
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Our guiding principles are rooted in our four core values: 'care deeply,' 'everybody in,' 'simplify everything,' and 'be brave.' These pillars have propelled us to the forefront of cloud-managed IT leadership and have played a pivotal role in shaping a more inclusive future for all.
About the role:
Key Responsibilities:
Required Skills:
Bonus points for:
משרות נוספות שיכולות לעניין אותך

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.
If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.
- The performance and efficiency of AI workloads on the node.
- Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries.
Key Responsibilities
- Design and develop node-level infrastructure components to support high-performance AI workloads.
- Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs.
- Minimize downtime through seamless config and upgrade architecture for software components.
- Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators.
- Work with distributed system fundamentals to ensure scalability, resilience, and reliability.
Minimum Qualifications:
- Proficiency in programming languages such as C/C++, Golang, Python, or eBPF.
- Strong understanding of Linux operating systems, including user space and kernel-level components.
- Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes.
- Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs).
- Strong debugging and problem-solving skills for complex system-level issues.
- Bachelor’s degree+ and relevant 8-12 years of Engineering work experience.
Preferred Qualifications:
- Linux kernel and device driver hands-on expertise is a plus.
- Experience in GPU programming and optimization, including CUDA, UCX is a plus.
- Experience with high-speed data transfer technologies such as RDMA.
- Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI.
- Nvidia MIG and MPS concepts for managing GPU consumption.
משרות נוספות שיכולות לעניין אותך

משרות נוספות שיכולות לעניין אותך