below marketmost similar roles pay hereabove market
This role pays more than
73%
of similar roles. Most pay
$144,350–$222,187
— the blue band above.
At the midpoint, this role pays about
$219k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1675 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1080 roles with salary data.
Senior Software Engineer, Core Infrastructure Services - DGX Cloud joins the Cloud Foundations Automation team to build and operate core infrastructure services powering global AI infrastructure. The role involves architecting and developing secure, scalable, and highly available cloud-native platform services, including infrastructure orchestration, self-service workflows, and platform automation. Key responsibilities include owning integrations for infrastructure provisioning, building observability and security capabilities, and driving operational excellence through monitoring and incident response. Candidates must demonstrate proficiency in Python and Go to build production-quality software, including microservices and APIs on Kubernetes using FastAPI, gRPC, or REST. Required skills include Terraform, Ansible, Temporal, Redis, Kafka, NATS, and SQS. Technical expertise in DNS, NTP, AAA, Prometheus, Grafana, OpenTelemetry, BGP, and Linux fundamentals is essential for managing these complex distributed systems.
What does a Software Engineer earn in Texas?
Median $173350 from 184 postings across 44 companies.
Build and operate core infrastructure services for global AI infrastructure.
Architect and develop secure, scalable, and highly available cloud-native platform services.
Develop software for infrastructure orchestration, self-service workflows, and platform automation.
Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management.
Build observability and security capabilities to improve infrastructure reliability and resilience.
Drive operational excellence through automation, monitoring, incident response, and continuous improvement.
What we're looking for
BS or equivalent experience with 8+ years of relevant industry experience.
Strong proficiency in Python and Go for building production-quality software.
Experience building cloud-native microservices and APIs on Kubernetes using FastAPI, gRPC, or REST.
Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems (Redis, Kafka, NATS, SQS).
Experience designing and operating production infrastructure services such as DNS, NTP, AAA, and observability platforms.
Strong Linux fundamentals with experience in networking (BGP, routing, load balancing), security, and observability (Prometheus, Grafana, OpenTelemetry).
Excellent problem-solving, communication, and collaboration skills.
Hands-on experience with network infrastructure, InfiniBand, RDMA, or public cloud platforms (preferred).
Kubernetes
Go
Linux
Terraform
Ansible
CI/CD
Gitlab
Argo
Flux
Cloud Native
Distributed Systems
Observability
Telemetry
Container Orchestration
Unix
Data Structures and Algorithms
Kubernetes
Go
Python
Distributed Systems
Slurm
Bright Cluster Manager
Cluster Operations
Operator Development
Monitoring
Telemetry
Data Structures
Algorithms
Systems Programming
Incident Management