{"id":3854856,"url":"https://alion.io/job/nvidia-senior-software-developer-5","title":"Senior Software Developer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":821,"ghost_share":0.023,"stale_share":0.56,"repost_share":0.054,"time_to_fill_p50_days":40,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kiryat Shmona, Israel","Yokneam, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"gRPC","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T05:45:11Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-06T21:17:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA is looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. Our group builds the data and analytics platform behind NVIDIA’s networking validation, processing large-scale test results, telemetry and cluster health data from some of the world’s largest AI and HPC data centers. As a senior team member, you will be developing services that turn this data into insights, accelerating the velocity and reliability of the validation process. You will work with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. With dedicated engineers around the globe, the work environment is dynamic, impactful, and fast-paced. Are you ready for the challenge?\nWhat you’ll be doing:\nOwning features end to end, from problem definition through design, delivery and production.\nCollaborating closely with networking, data and performance architects, validation engineers, DevOps and data teams to understand requirements and deliver robust solutions.\nLeading the development of scalable services that analyze large-scale validation test results and improve visibility into cluster health KPIs across HPC data centers.\nLeading the development of AI-driven and agent-based features that improve usability, observability, and debuggability.\nLeading the deployment and operation of services on Kubernetes (K8s) with Docker and containerized environments.\nTroubleshooting issues in distributed environments and improving HPC data center health observability.\nTaking an active part in leading the team’s development process and driving its continuous improvement.\nMentoring engineers and rapidly growing the group’s knowledge across technical areas.\nWhat we need to see:\nB.Sc. in Computer Science or a related field (or equivalent experience).\n5+ years of hands-on software development experience with strong Python proficiency.\nStrong understanding of software design patterns and architecture in large-scale networked systems.\nHands-on experience with Docker, containers, Kubernetes and microservices architectures.\nStrong debugging and problem solving capabilities in distributed systems or multi-node environments.\nHands-on experience with agentic AI development tools and using agentic workflows to solve real-world problems.\nProven track record of turning loosely defined problems into well-scoped, delivered solutions.\nAbility to work independently and drive measurable impact, with excellent communication skills and a strong sense of ownership.\n\nWays to stand out from the crowd:\nExperience with big data and large-scale systems, including leading the architecture and design of complex distributed systems.\nExperience with data engineering, data analysis and streaming data collection (e.g., SQL, pandas, ETL pipelines, Kafka, gRPC, gNMI).\nProven track record of technically leading engineers on large features, mentoring others and leveling up team capabilities.\nProven ability to innovate and solve real user problems in large, complex systems.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you’re creative and autonomous, we want to hear from you!\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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