15 часов назад
Silicon Software Lead (AI)
200 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Silicon Software Lead (AI): Building the compiler, runtime, kernels, drivers, and hardware abstraction layer that make Normal's stochastic analog AI chip programmable for real inference workloads with an accent on accelerator software, compiler architecture, and hardware-software co-design. Focus on leading hands-on development from ML framework ingestion through execution, maintaining simulation-to-silicon continuity, and shaping ISA and hardware architecture decisions.
Location: Hybrid in New York City or Silicon Valley
Salary: $200K–$400K plus equity
Company
is an applied AI company developing foundational hardware and software for the semiconductor industry, AI infrastructure, and advanced computing systems.
What you will do
- Lead and grow the silicon software team across compiler, runtime, and systems software while remaining involved in technical design and code reviews.
- Own the software stack architecture from ML framework ingestion and compilation through scheduling, memory management, and execution on Normal hardware.
- Co-design the instruction set architecture and hardware abstraction layer with silicon architects so the chip is programmable and optimised for inference workloads.
- Drive development of runtimes, kernels, drivers, profiling tools, and debugging tools.
- Maintain software continuity across simulation, FPGA prototypes, and silicon bring-up.
- Set the roadmap, define milestones aligned with the hardware programme, and hire systems engineers.
Requirements
- Substantial experience building software stacks for accelerators or non-standard hardware, including compilers, runtimes, kernels, or drivers.
- Experience leading engineers as a technical lead or manager while remaining hands-on in design and implementation.
- Strong systems programming skills in C++, Rust, or an equivalent language, plus fluency in Python.
- Deep understanding of ML inference workloads and hardware execution constraints.
- Experience with compiler frameworks such as MLIR or LLVM, inference runtimes, or kernel development.
- Experience developing software for evolving hardware from simulation through bring-up, including hiring and developing systems engineers.
Nice to have
- Experience taking an accelerator software stack from zero to production at a startup or in a new hardware programme.
- Experience with in-memory compute, processing-in-memory, or analogue hardware interfaces.
- Contributions to open-source compiler or runtime infrastructure.
- Experience with hardware-software co-design that influenced ISA or architecture decisions.
Culture & Benefits
- Work as part of one engineering team across New York City, San Francisco, London, Copenhagen, and Pangyo.
- Collaborate with advanced research and engineering institutions.
- Receive equity in addition to the stated salary range.
- Work in an inclusive environment committed to equal opportunity and reasonable accessibility accommodations.
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