This role pays more than
70%
of similar roles. Most pay
$152,551–$208,707
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$181k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Software Engineer, Developer Tools for Cloud, you will join the Developer Tools team to develop profiling tools within the Nsight family, including Nsight Operator, Nsight Cloud, and Nsight Systems. You will design and implement features to collect, analyze, and visualize performance profiling data in complex cluster and cloud environments. Your daily work involves systems design, frontend and backend development across the full product lifecycle from prototypes to user demos. The role requires proficiency in Python for server-side code, JavaScript for frontend development, and fluency in C++, Rust, or Go. You will leverage your knowledge of computer architecture, algorithms, and Kubernetes in distributed environments to solve performance optimization problems. Additional technical skills include experience with CUDA, GraphQL, ClickHouse, Grafana, and Datadog to manage observability and analytics within cloud infrastructure.
What does a Software Engineer earn in Remote?
Median $204500 from 415 postings across 57 companies.
Design and implement features to collect, analyze, and visualize performance profiling data in cloud and cluster environments.
Develop full-stack software using Python for server-side logic and JavaScript for frontend components.
Write high-performance code using C++, Rust, or Go to support the Nsight product suite.
Translate complex hardware and software knowledge into functional features for end-users.
Manage the full product feature lifecycle from initial prototypes to final user demonstrations.
Gather and analyze requirements from internal and external users to inform product development.
Support the deployment and maintenance of microservices in distributed environments using Kubernetes.
What we're looking for
BS or MS in EE, CE, CS, Systems Engineering (or equivalent experience).
5 years of experience in a related software position.
Fluency in C++, Rust, or Go (with willingness to write some features in C++).
Track record of working with Kubernetes and in distributed environments.
Strong understanding of algorithms and computer architecture.
Excellent problem solving, collaborative, and interpersonal skills.
Experience working in distributed teams is welcome.
Experience with GPUs, CUDA, HPC, clusters, networking, and performance optimization in cloud environments (preferred); experience with microservices, web APIs, GraphQL, Datadog, ClickHouse, or Grafana (preferred).