Junior Performance Software Engineer

Factorial

Junior Performance Software Engineer optimizing popular AI and HPC applications for RISC-V chips. Working across teams to enhance performance and deliver best in class workload optimization.

Posted 7/3/2026full-timeLimerick • 🇮🇪 IrelandJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in performance optimization and profiling for AI and HPC workloads on RISC-V architecture, with strong knowledge of computer architecture and low-level programming languages. Capable of troubleshooting complex issues and collaborating across teams to enhance system performance and efficiency.

Highest-signal resume keywords

Performance OptimizationComputer Architecture KnowledgeLow-Level Development LanguagesPerformance Profiling ToolsHPC and AI Workload Optimization

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Applicant Tracking System Keywords

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Hard Skills

CC++RustAssembly LanguagePerformance BenchmarkingBare Metal DevelopmentStatistical AnalysisMachine Learning OptimizationRISC-V DevelopmentEmulators and Simulators

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

Linux PerfGitDockerKubernetesQemuGem5SpikeKVMXenJira

Industry Keywords

AIHPCPerformance AnalysisOperating SystemsCloud TechnologiesOpen Source Software Development

Tech Stack

Tools & technologies

AssemblyCloudDockerJMeterKubernetesLinuxOpen SourceRust

About the role

Key responsibilities & impact

Make independent technical contributions to help their team deliver its commitments.
Optimize AI, HPC, and other workloads and benchmarks for our RISC-V silicon with vector extensions.
Identify bottlenecks with workload characterization and drive implementation of solutions.
Decompose applications and how they run on the underlying hardware.
Understand performance at a system level, from CPU, memory, storage, power utilization, etc.
Profile and optimize on our pre-silicon (simulators, emulators, FPGAS), and silicon environments.
Troubleshoot and root cause analysis, to resolve performance issues.
Optimize HPC and AI libraries and runtimes.
Work with customers to optimize their important workloads for our architecture.
Contribute to instrumentation of performance and power at the operating system level.
Integrate with CI/CD to automate performance benchmarking.
Present findings to senior technical leaders at our company and at industry conferences.
Contribute upstream where appropriate.
Interact with colleagues across projects to unblock issues, or to reach consensus on technical topics.
Work with hardware teams, influencing hardware/software co-design.
Work with teams developing compilers, firmware, AI stacks, middleware, etc., and contribute as necessary.
Collaborate with colleagues through code reviews, bug triaging, design documents,...
Contribute to shared team responsibilities (CI failure triaging, documentation, code fixits, rotations...).

Requirements

What you’ll need

Bachelor or Master’s degree in a relevant field.
Experience in the relevant field (1-3yr).
Solid knowledge about computer architecture (CPU, cache, memory hierarchy, buses, etc.).
Proven experience with performance optimization, and experience with performance profiling and analysis tools (Linux perf, iperf, lmbench, sysbench, flamegraphs, JMeter, LoadRunner, Gatling, Intel (R) VTUNE, ARM SPE, etc.).
Solid knowledge of low-level development languages (C, C++, Rust, etc.).
Experience with assembly language (any architecture).
Experience with performance benchmarks (CoreMark, FPMark, LMBench, Stream, SPEC CPU, SPEC INT, graph500, CORAL, HPGMG, CoMD, Linpack, SuiteSparse Matrix Collection, MLPERF, ResNet, BERT etc.).
Solid understanding of operating systems, databases, networking, and cloud technologies.
Strong problem-solving skills with the ability to troubleshoot and identify complex issues.
Experience with bare metal (without OS) development for embedded systems and microcontrollers.
Experience with standard tools for source control (git), continuous integration, task management (Jira).
Experience with machine learning and/or HPC performance optimization.
Experience with Fortran.
Experience with RISC-V development at the assembly-language level.
Experience with statistical analysis.
Experience with emulators and simulators (Qemu, Gem5, Spike).
Experience in containerized environments (Docker, Kubernetes).
Experience with hypervisor technology (KVM, Xen).
Experience with open source software development.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities