1 day ago
Tel Aviv-Yafo, IsraelMid Level / Senior
Responsibilities
- Architect and build a scalable software platform for compute infrastructure that provides reliable, efficient, self-service access to VLSI design teams.
- Build data pipelines, analytics, and applications to measure infrastructure usage and performance and support capacity planning and efficiency decisions.
- Develop AI agents that diagnose failed jobs, analyze logs, and handle routine engineering requests.
- Debug job, storage, and license issues with physical design engineers and convert recurring problems into automated checks, self-service tools, and permanent fixes.
- Own software across architecture, data storage, UI, testing, deployment, maintenance, code review, and reproducible builds.
- Collaborate across global Design Automation teams and time zones to roll out infrastructure software and mentor newer team members.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 2–6 years of experience building and running production software, preferably infrastructure, backend services, or developer tools.
- Hands-on experience with AI agents, including agentic workflows, LLM APIs, tool calling, MCP, or AI coding assistants.
- Strong Python skills and solid software engineering fundamentals in design, testing, code review, and debugging.
- Strong Linux skills, including shell scripting and debugging issues across multiple users and hosts.
- Preferred experience with HPC, job schedulers, NFS or parallel file systems, large-scale performance tuning, CI/CD pipelines, containers, Ansible, and monitoring.
- Preferred experience with Bazel, Perforce, Git, SQL, data modeling, dashboards, C++, Tcl, Perl, EDA tools, or chip-design flows.
- Strong data structures and algorithms knowledge, particularly graph theory, is preferred.
Benefits
- The role supports design teams across multiple geographies and involves working with global teams across time zones.
- NVIDIA offers a diverse and inclusive work environment, equal employment opportunity, and reasonable accommodations for qualified individuals with disabilities.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.