Normal Computing · New York
Software EngineeringEngineeringRemoteFullTimeposted 2mo ago
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.
Normal's ASIC computes using stochastic analog dynamics in memory, and the software layer that makes it programmable and performant for real inference workloads does not yet exist in any standard form. As our Silicon Software Lead, you will lead the team that creates it: the compiler, runtime, kernels, drivers, and hardware abstraction layer that turn our chip into a platform. You will set technical direction, stay hands-on in the stack, and co-design with hardware architects so that software constraints shape the silicon rather than arriving after it.
This is a role for someone who has built software for hardware that did not exist yet, and wants to do it where the software genuinely impacts and optimizes the hardware.
Team Leadership: Lead and grow the silicon software team spanning compiler, runtime, and systems software, staying close enough to the code to review designs and unblock hard problems directly.
Software Stack Architecture: Own the architecture of the stack from ML framework ingestion through compilation, scheduling, and memory management to execution on Normal hardware.
Software/Hardware Co-Design: Partner with silicon architects on ISA definition and the hardware abstraction layer, ensuring the chip is compilable and programmable, not just simulatable.
Runtime and Tooling: Drive development of the runtime, kernels, drivers, profiling, and debugging tools that make the hardware usable for real inference workloads.
Simulation-to-Silicon Continuity: Keep the software stack running against simulation, FPGA prototypes, and silicon as the hardware matures, so software development never waits on tapeout.
Roadmap and Hiring: Set the silicon software roadmap, define milestones against the hardware program, and hire the engineers who deliver it.
Substantial experience building software stacks for accelerators or non-standard hardware targets: compilers, runtimes, kernels, or drivers
Experience leading engineers as a technical lead or manager while staying hands-on in design and code
Strong systems programming skills in C++, Rust, or equivalent, with fluency in Python
Deep understanding of ML inference workloads and the constraints that shape their execution on hardware
Experience with compiler frameworks such as MLIR or LLVM, or with inference runtimes and kernel development
Comfort building software for hardware that is still evolving, from simulation through bring-up
Track record of hiring and developing strong systems engineers
Experience taking an accelerator software stack from zero to production at a startup or new hardware program
Experience with in-memory compute, processing-in-memory, or analog hardware interfaces
Contributions to open-source compiler or runtime infrastructure
Experience with hardware-software co-design where software insights shaped ISA or architecture decisions
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
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