Infrastructure Engineer (einfochips)
Role details
Job location
Tech stack
Job description
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Partner with silicon design, verification, emulation, and software teams to understand their development workflows, pain points, and iteration cycles.
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Build tooling and automation that eliminates manual toil and reduces time-to-results.
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Gather continuous feedback from internal customers and rapidly iterate on solutions. Benchmark infrastructure based on silicon development workflows to provide internal customers with the optimal resources for silicon development. Own Platform Delivery and Operations
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Design, implement, and operate cloud infrastructure and high-performance computing clusters using schedulers like Slurm.
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Build and maintain CI/CD pipelines for infrastructure-as-code and service deployments with comprehensive testing and safe rollback mechanisms.
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Take ownership of platform reliability, performance, and cost efficiency from initial design through production operation.
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Drive Results Through Automation and Observability
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Develop monitoring, diagnostics, and alerting systems that surface actionable insights on efficiency, utilization, reliability, and cost trends.
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Establish incident response processes, runbooks, and documentation that enable operational excellence.
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Proactively anticipate system failures and implement preventive measures, reducing operational toil and improving system resilience.
Requirements
- Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or equivalent
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\
- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust with demonstrated ability to write production-quality, maintainable code
- Experience utilizing AWS cloud solutions in a DevOps environment with infrastructure as code (CloudFormation, Terraform, CDK).
- Experience with Linux/Unix
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience with high-performance computing (HPC) clusters using workload schedulers like Slurm
- Familiarity with semiconductor development workflows or electronic design automation (EDA) environments
- Experience building services using AWS products
- Experience with CI/CD pipelines and build processes
- Experience with monitoring, observability, and incident management at scale
Education: Bachelor's degree
Work Arrangement Fully Onsite: Must be able to travel to an Arrow Client office location as requested by Arrow Client leadership.