below marketmost similar roles pay hereabove market
This role pays more than
73%
of similar roles. Most pay
$174,600–$237,262
— the blue band above.
At the midpoint, this role pays about
$233k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Arm Holdings
Arm Holdings plc is a leading British semiconductor and software design firm, established in 1990 and recognized for developing energy-efficient processor architectures that power nearly all smartphones and a vast range of IoT and computing devices.
Arm Holdings currently has
108 open roles
on FindRole.
Listed pay typically runs
$207,800–$281,200
across 108 roles with salary data.
The Staff Software Engineer - Post-Silicon Infrastructure joins the Chandler Characterization team to develop software infrastructure for post-silicon validation and characterization of next-generation Arm SoCs. In this role, you will build scalable tools and frameworks that connect hardware, firmware, workloads, instrumentation, and data collection. You will develop reusable software infrastructure, Python automation for platform controls, and scalable frameworks for reliable test execution. Key responsibilities include integrating and debugging automated test methodologies across engineering teams. Required skills include systems software experience with Linux, Python, and developing reusable frameworks for physical hardware environments. You will utilize APIs, configuration parameters, and diagnostic methods like logging and telemetry. The work focuses on transforming complex engineering experiments into repeatable capabilities for silicon validation, characterization, power, performance, and system-level testing.
What does a Software Engineer earn in Arizona?
Median $162050 from 32 postings across 10 companies.
Kubernetes
Go
Python
Linux
AWS
EKS
Terraform
Argo CD
Helm
Prometheus
Grafana
PyTorch
Ray
vLLM
SGLang
TensorRT-LLM
CUDA
NVLink
NVSwitch
NCCL
EFA
DCGM
HPC
Kubernetes
Go
Java
C++
Distributed Systems
CNI
Envoy
Linux Kernel
eBPF
Multi-Cloud
Container Runtimes
GPU Scheduling
ML Infrastructure
Zero-Trust Networking