Arm · 1 week ago
Performance Engineer - EDA workloads
Arm is looking for a Performance Engineer to help optimize compute, storage, and workflow performance across their engineering platform. The role involves identifying inefficiencies, diagnosing bottlenecks, and supporting improvements across large-scale compute clusters and cloud environments.
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Responsibilities
Analyze performance of compute and storage infrastructure in production
Identify areas for tuning based on metrics and system behavior
Support improvements to job configurations and scheduling efficiency
Help develop tooling and dashboards to surface performance trends
Collaborate with platform and flow teams to validate and document findings
Qualification
Required
Experience with EDA tooling and workflow patterns
Experience with EDA workflows or engineering compute pipelines
Experience working in Linux-based environments, particularly in performance-sensitive contexts
General experience working in compute or storage-heavy environments
Familiarity with monitoring tools like Prometheus, Grafana, or Linux-based telemetry
Familiarity with profiling tools
Preferred
Knowledge of how engineering teams use simulation tools or other high-throughput workloads
Ability to troubleshoot issues related to CPU, memory, I/O, or network performance
Exposure to basic job scheduling systems (e.g., LSF, Jenkins, SLURM)
Company
Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world.
H1B Sponsorship
Arm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (295)
2024 (166)
2023 (164)
2022 (123)
2021 (103)
2020 (133)
Funding
Current Stage
Public CompanyTotal Funding
unknown2016-07-18Acquired
1999-01-15IPO
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