NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads ...
NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads ...
NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads ...
NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads ...
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NVIDIA Enterprise Platforms Group is seeking a Senior System Architect to define, design, and validate enterprise AI factory reference architectures. This role sits at the intersection of product ...
NVIDIA Enterprise Platforms Group is seeking a Senior System Architect to define, design, and validate enterprise AI factory reference architectures. This role sits at the intersection of product ...
NVIDIA Enterprise Platforms Group is seeking a Senior System Architect to define, design, and validate enterprise AI factory reference architectures. This role sits at the intersection of product ...
NVIDIA Enterprise Platforms Group is seeking a Senior System Architect to define, design, and validate enterprise AI factory reference architectures. This role sits at the intersection of product ...
NVIDIA Enterprise Platforms Group is seeking a Senior System Architect to define, design, and validate enterprise AI factory reference architectures. This role sits at the intersection of product ...
... architecture, system logic and configuration. * Problem-solving skills : Proven ability to ... Good exposure of senior stakeholder management skills. Education: * Bachelor Degree in IT, Computer ...
Quick apply
... architecture, system logic and configuration. * Problem-solving skills : Proven ability to ... Good exposure of senior stakeholder management skills. Education: * Bachelor Degree in IT, Computer ...
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Quick apply
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Senior System Architect information
See salary details
$75K - $86.3K
1% of jobs
$86.3K - $97.6K
1% of jobs
$97.6K - $109K
5% of jobs
$109K - $120.3K
4% of jobs
$120.3K - $131.6K
11% of jobs
$133.4K is the 25th percentile. Wages below this are outliers.
$131.6K - $142.9K
18% of jobs
The median wage is $148K / yr.
$142.9K - $154.2K
22% of jobs
$161.2K is the 75th percentile. Wages above this are outliers.
$154.2K - $165.5K
21% of jobs
$165.5K - $176.9K
9% of jobs
$176.9K - $188.2K
3% of jobs
$188.2K - $199.5K
4% of jobs
$75K
$149.2K
$199.5K
How much do senior system architect jobs pay per year?
What is the difference between Senior System Architect vs System Engineer?
| Aspect | Senior System Architect | System Engineer |
|---|---|---|
| Credentials | Bachelor's or Master's in Computer Science, certifications like TOGAF or AWS | Bachelor's in Computer Engineering, certifications like Cisco CCNA or CompTIA |
| Work Environment | Designs overall system architecture, collaborates with stakeholders | Implements, maintains, and troubleshoots systems and networks |
| Industry Usage | Used in enterprise IT, cloud solutions, and large-scale system design | Common in network infrastructure, software development, and system deployment |
While both roles require technical expertise, a Senior System Architect focuses on designing comprehensive system architectures and strategic planning, whereas a System Engineer handles the implementation, maintenance, and troubleshooting of systems. The architect role is more strategic and design-oriented, while the engineer role is more hands-on and operational.

Full-time
Posted 15 days ago
Job description
NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects.
What you'll be doing:
Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure.
Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs.
Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters.
Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams.
Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs.
What we need to see:
Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming.
Experience building automated RCA (Root Cause Analysis) pipelines for HPC or cloud-scale environments.
CPU Architecture Deep-Dive: Expert knowledge of x86/ARM node-level metrics: IPC (Instructions Per Cycle), cache contention, NUMA imbalance, and hardware interrupts.
Programming Proficiency: Strong C++ and Python skills, with the ability to build high-performance daemons that monitor system health without impacting workload performance.
Scale Experience: Familiarity with cluster resource managers (Slurm, LSF, or Kubernetes) and how they manage job lifecycle and signal propagation.
Ways To Stand Out From The Crowd:
Low-Level Diagnostics: Expert knowledge of the Linux kernel and its error-reporting interfaces (/dev/mcelog, dmesg, journald). Understand how the kernel handles hardware exceptions and memory faults.
GPU Infrastructure Proficiency: Deep experience with the NVIDIA DCGM (Data Center GPU Manager) and NVIDIA Management Library (NVML) for monitoring device health and capturing state-dumps.
Experience with tools doing non-intrusive monitoring of application health and syscall-level failure patterns.
Experience with checkpoint/restore technologies (like CRIU) and their application in long-running EDA flows.
#LI-Hybrid
You will also be eligible for equity and benefits.
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.About Nvidia
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993