Senior Software Engineer

nvidiaยท IN01 NVIDIA Graphics Bengaluru
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๐Ÿ“ India, BengaluruFull time

About this role

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform.

This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations.

What You Will Be Doing:

  • Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale.

  • Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams.

  • Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals.

  • Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation.

  • Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams.

  • Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness.

  • Provide technical leadership and mentorship, influence engineering standards and architecture decisions, and deliver measurable improvements in reliability, MTTR, operational toil, engineering productivity, and infrastructure efficiency.

What We Need To See:

  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience, with 10+ years of software engineering, SRE, infrastructure, or distributed-systems experience and demonstrated technical leadership.

  • Strong software engineering expertise in Go, Python, or equivalent languages, with experience designing and building production-grade distributed systems, platform services, APIs, and automation.

  • Proven experience owning complex software/platform initiatives across multiple teams or infrastructure domains, from architecture and implementation through adoption and measurable impact.

  • Deep understanding of distributed systems, event-driven architectures, microservices, APIs, and high-throughput data processing, including technologies such as Kafka, NATS, gRPC, or equivalent.

  • Strong experience with modern observability and telemetry platforms, including OpenTelemetry, Prometheus, VictoriaMetrics, Vector, Loki, Grafana, ClickHouse, or equivalent technologies.

  • Strong SRE and infrastructure knowledge across Kubernetes/OpenShift, VMware, bare-metal, storage, networking, and/or cloud environments, with experience using Terraform, Ansible, or equivalent automation technologies.

  • Demonstrated ability to solve ambiguous problems, influence technical direction without direct authority, mentor engineers, establish engineering standards, and deliver measurable operational and business outcomes.

Ways To Stand Out From The Crowd:

  • Experience building software and reliability platforms for large-scale on-premises infrastructure, particularly Storage, Compute, Networking, VMware, and Kubernetes/OpenShift.

  • Deep understanding of storage and infrastructure telemetry, including IOPS, latency, NVMe health, SAN/NAS topology, block/object storage, and infrastructure failure domains.

  • Experience building self-healing systems, automated remediation, predictive operations, or autonomous SRE capabilities.

  • Production experience applying Generative AI, AIOps, LLMs, or Agentic AI to incident triage, RCA, operational intelligence, debugging, or remediation; experience with LangChain, LlamaIndex, AutoGen, or equivalent is a plus.

  • Experience building high-performance platform services using FastAPI, gRPC, or equivalent technologies.

Frequently Asked Questions

Is the salary disclosed for the Senior Software Engineer position at nvidia?
The salary for this Senior Software Engineer role at nvidia is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Software Engineer position at nvidia located?
This Senior Software Engineer role at nvidia is based in India, Bengaluru. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Software Engineer role at nvidia full-time or part-time?
This is listed as a Full time position. It is posted as a Senior Software Engineer role in the IN01 NVIDIA Graphics Bengaluru department at nvidia.
Which team or department does the Senior Software Engineer at nvidia belong to?
This Senior Software Engineer position is part of the IN01 NVIDIA Graphics Bengaluru department at nvidia. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Software Engineer position at nvidia?
Click the "Apply Now" button on this page. You will be redirected to nvidia's official application portal hosted on workday where you can submit your application directly.
When was the Senior Software Engineer job at nvidia posted?
This Senior Software Engineer position at nvidia was posted on Aug 26, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Senior Software Engineer
nvidia
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