Creating a generalized brain interface to restore autonomy to those with unmet medical needs today and unlock human potential tomorrow. Backed by Lightspeed, Sequoia and Founders Fund.
About the role
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:
What they're looking for
- 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)
More about this role
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs.
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...
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