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# Software Engineer, ASIC

- **Company:** Neuralink Corp.
- **Location:** South San Francisco, CA, United States
- **Salary:** $123,000.0 - $216,000.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, C++ (Programming Language), Ubuntu (Operating System), Linux, Firmware, FlexNet Publisher, Internet Small Computer System Interface (ISCSI), Python (Programming Language), Network File Systems, Red Hat Enterprise Linux, Cadence Virtuoso, Ansible, Distributed Simulation, Prometheus, Server Administration, Toolchain, Ceph (Software), Cloud Platform System, Application Specific Integrated Circuits, Grafana, Multi-Cloud, Kubernetes, Information Technology, Bare Metal, Build Tools, Slurm, ZFS File System, Vertica, Terraform, Oracle Cloud Infrastructure, Docker
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-asic-neuralink-7992907

## About the Role

* Experience administering EDA compute environments and toolchains (Cadence, Synopsys, Siemens/Mentor)
 * Working knowledge of FlexLM license server administration and capacity management.
 * Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
 * Experience with high-performance Linux storage: NFS, ZFS, Ceph, iSCSI, or similar.
 * Systems administration experience on RHEL and Ubuntu, kernel tuning for compute workloads
 * Familiarity with distributed compute frameworks (Ray, Slurm, LSF, or similar)
 * Experience with bare-metal provisioning and lifecycle management at datacenter scale
 * Familiarity with embedded cross-compilation toolchains and build systems (ARM, Bazel, Nix)
 * Experience with multi-cloud deployments and hybrid on-prem/cloud architectures
 * Bachelor's degree in computer science, a related field, or an equivalent combination of education, training, and/or experience

## Description

As a Software Engineer, ASIC, you will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants. You will:

 * Build and maintain scalable EDA compute infrastructure for analog and digital chip design
 * Develop distributed simulation clusters to accelerate circuit verification at scale
 * Manage and optimize license infrastructure across multiple EDA vendors
 * Architect high-performance and robust shared storage for terabyte-scale design data
 * Develop build-system infrastructure and tooling for firmware targeting custom ASICs
 * Automate bare-metal server provisioning and lifecycle management for EDA compute fleets
 * Enhance developer experience for IC design and firmware engineers through monitoring, self-service tooling, and robust automation

Tech Stack:

 * Rust, Python, Go
 * Cadence Virtuoso, Cadence Spectre
 * Terraform, Ansible, Packer, MAAS
 * Bazel and Nix
 * Prometheus, ClickHouse, Grafana
 * Ray, Docker, Kubernetes
 * AWS, OCI (Oracle Cloud Infrastructure)
 * RHEL, Ubuntu


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