{"id":3498073,"url":"https://alion.io/job/nvidia-senior-staff-software-engineer-agentic-it-operations","title":"Senior Staff Software Engineer - Agentic IT Operations","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":83,"open_postings":778,"ghost_share":0.022,"stale_share":0.587,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":322000,"currency":"USD","period":"year","gross":null,"usd_annual":322000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ITSM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"PagerDuty","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"ServiceNow","optional":false}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T23:07:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the “brains” of computers, robots, and autonomous vehicles that can comprehend the world! This pioneering work demands vision, innovation, and the world’s best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.\nWe are seeking a Senior Staff Software Engineer to define the technical strategy for autonomous AI-driven enterprise operations at NVIDIA. You will set the architecture that transforms IT from manual, reactive workflows into agentic platforms operating at global scale. This is senior individual contributor role on the team: you will own the hardest technical problems, establish the standards that other engineering organizations adopt, and be accountable for architectural decisions whose consequences compound for years. Exceptional interpersonal, written, and verbal communication skills are vital for success.\nWhat You’ll Be Doing:\nAs a Senior Staff Software Engineer, you will define how NVIDIA builds and operates autonomous enterprise systems. Your influence will be measured in systems adopted, engineers elevated, and problems that stopped being problems.\nCore responsibilities include:\nOwn the technical strategy and reference architecture for agentic AI across enterprise IT : agent runtimes, tool interfaces, memory and context management, orchestration, evaluation harnesses, and safety guardrails and establish them as the standard that partner engineering organizations build on.\nArchitect and personally build production agentic systems using LLM-based agents, tool calling, RAG, and orchestration frameworks, delivering AI-assisted operations across employee support, endpoint services, and IT support operations.\nDesign autonomous agents that execute complex, multi-step enterprise workflows end-to-end, coordinating approvals, vendor handoffs, cross-system data reconciliation, and exception handling with human-in-the-loop controls and own the reliability, observability, failure semantics, and blast-radius controls that make autonomy safe at enterprise scale.\nOwn the architecture of the integration and automation platform spanning ServiceNow, ERP and procurement systems, and endpoint-management platforms, including infrastructure, data pipelines, APIs, and user-facing applications and make the build/buy/deprecate calls that shape it for the next several years.\nDefine the engineering standards for how agentic systems are built, tested, evaluated, and operated: prompt and tool versioning, offline and online evals, regression suites, cost and latency budgets, security and data-governance patterns, and systematic failure-mode analysis.\nDrive technical alignment across organizational boundaries, partner engineering teams, platform owners, security, and senior leadership resolving contested architectural decisions and building consensus without formal authority.\nMultiply the organization. Mentor and grow senior and staff engineers through design partnership, code review, and technical coaching, and raise the engineering bar through the work you ship and the standards you enforce.\nWhat We Need To See:\nBachelor’s or Master’s degree in a related field, or equivalent experience. 12+ years of hands-on software engineering experience building and operating production systems at scale, with deep expertise in at least one of: Infrastructure, SRE, DevOps, Platform, or Production Engineering.\nDemonstrated impact at Senior Staff scope architectural decisions that shaped systems across multiple organizations, and a track record of being the person others escalate to on the hardest technical problems.\nDeep expertise designing and shipping production software systems integrations, automation platforms, APIs, and data pipelines for complex enterprise operations at scale, with ownership spanning design through long-term operation.\nProven experience taking agentic AI or LLM-based systems to production, including multi-step autonomous execution, tool calling, RAG, human-in-the-loop safeguards, exception handling, evaluation, and governance with measurable business outcomes.\nTrack record of modernizing enterprise IT operations platforms (e.g., asset management, endpoint services, IT supply chain, infrastructure operations), including migrating or replacing entrenched legacy systems.\nProduction-grade proficiency with infrastructure-as-code, CI/CD, containerization (Kubernetes), and cloud platforms (AWS, GCP, or Azure).\nExperience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar).\nFluent in Python, Go, or equivalent languages able to architect, write, and review production-quality code, not just scripts.\nDemonstrated ability to grow other senior engineers and establish engineering practices that outlast your direct involvement.\nAbility to drive technical direction across engineering, product, and senior leadership without formal authority, and to make complex trade-offs legible to VP and C-level audiences in business terms.\nWays To Stand Out From The Crowd:\nExperience defining an agentic AI or automation platform strategy for a large enterprise and driving its adoption across multiple engineering organizations.\nBuilt agent orchestration frameworks, eval infrastructure, or LLM observability tooling as internal platforms used by other teams.\nBackground designing event-driven or workflow-orchestration architectures (e.g., Temporal, Airflow, Kafka-based systems) for long-running, stateful enterprise processes at scale.\nDeep working knowledge of ServiceNow or comparable ITSM/ERP platforms at the API and data-model level, including extending them in ways their vendors didn’t anticipate.\nOpen-source contributions, patents, published work, or conference talks in distributed systems, automation, or applied AI.\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 in the world working for us. If you’re creative and autonomous, we want to hear from you!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 2, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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