
Pioneering accelerated computing and AI
Senior System Software Engineer - Data Platform Observability
必須スキル
Python
Java
React
Go
Rust
Spark
NVIDIA’s Hardware Infrastructure organization is seeking a Senior System Software Engineer to lead the evolution of our next-generation Data & Observability Platform. We serve and collaborate directly with NVIDIA’s rapidly growing AI, HW, and SW engineering and research teams across the company. We are looking for a Full-Stack technical lead who is not afraid to dig deep into infrastructure. You will be the technical anchor for our Observability stack, driving the transition to a modern tooling that is best fit for our customers and use cases. You will build the centralized platform that thousands of NVIDIA engineers rely on to visualize chip telemetry, debug distributed pipelines, and ensure platform reliability.
What you’ll be doing:
-
Architect High-Performance Ingestion: Design and build centralized telemetry pipelines capable of handling massive scale. You will solve global latency challenges by implementing modern, push-based edge collection architectures to replace legacy proxy models.
-
Build Policy Enforcement Systems: Design and implement the technical infrastructure for data governance, policy engines, access control enforcement points, secure credential management, and audit logging. Looking for someone who has built governance controls into a platform, not just administered them.
-
Focus on User Experience: Develop a modern, web interface and APIs that unify distinct observability signals into a seamless, consolidated user experience.
-
Optimize Storage & Cost: Implement cost-effective tiered storage architectures. You will define strategies for routing high-volume data to cold storage solutions to reduce costs while maintaining multi-year data retention.
-
Drive Platform Automation: Architect workflow orchestration systems to automate platform maintenance, data lifecycle management, and complex pipeline operations.
-
Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency to continuously improve quality, workloads, and processes through better observability.
What we need to see:
-
BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
-
8+ years of full-stack software development experience with a focus on Data Platforms or Infrastructure Tools.
-
Strong Full-Stack Fluency: Proficiency in high-performance backend systems programming and modern frontend web frameworks for building responsive user interfaces (Python, JS, Java, Rust, Go, React, or similar).
-
Observability Expertise: Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools. Hands-on experience operating and extending the Grafana Ecosystem or ELK stack at scale. You understand the internals of time-series databases and inverted indexes.
-
Infrastructure-as-Code: Experience deploying complex stateful services on Kubernetes using Helm, Terraform, or Ansible.
-
Streaming & Storage: Familiarity with event streaming and modern data lake formats
Ways to stand out from the crowd:
-
Experience writing Custom Grafana data source Plugins or backend plugins in Go.
-
Background with migrating legacy monoliths to microservices or Vector-based pipelines.
-
Experience with Open Telemetry (OTEL) collector configuration, writing custom processors, or instrumentation SDKs.
-
Background in Data Governance, including implementation of Policy-as-Code or compliance frameworks in a regulated environment.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
類似の求人

Data Engineer - Senior Associate
PwC · Atlanta, GA

Sr Data Engineer
Walt Disney · 3 Locations

Senior Traffic Analyst
BAE Systems · Louisville, Kentucky, United States

Associate Principal, Financial Data
Gusto · San Francisco, CA

Sr Data Program Management Specialist
Honeywell · Charlotte, NC, United States, US
NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
2.8
報酬
4.5
企業文化
4.2
キャリア
4.3
経営陣
3.8
78%
知人への推奨率
良い点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
改善点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
給与レンジ
79件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接レビュー
レビュー5件
難易度
3.0
/ 5
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
最新情報
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
reddit/blind
·
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
reddit/blind
·
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
reddit/blind
·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
reddit/blind
·