Silicon Software Lead: Compiler, Runtime & Co-Design

Normal Computing; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Normal Computing in New York is seeking a Silicon Software Lead to lead the team building software for innovative silicon technology. Here, you will design the software stack for substantial hardware that doesn't yet exist, ensuring seamless collaboration with hardware architects.

The position demands a strong background in systems programming, leadership in engineering, and an understanding of ML workloads. Join a vibrant team dedicated to making groundbreaking advancements in computation.

Qualifications

• Substantial experience in accelerator software stack development.
• Experience as a technical lead or manager in engineering.
• Strong systems programming skills in C++ and Rust with Python fluency.
• Deep understanding of ML inference workloads.
• Familiarity with compiler frameworks and inference runtimes.
• Experience building software for evolving hardware.
• Track record of hiring strong engineers.

Responsibilities

• Lead and grow the silicon software team.
• Own the architecture of the software stack.
• Partner with silicon architects for hardware co-design.
• Drive development of runtime and debugging tools.
• Maintain software stack against simulation and prototypes.
• Set the silicon software roadmap and define milestones.

Skills

Building software stacks for accelerators

Leading engineers

C++ programming

Rust programming

Python fluency

Understanding of ML inference workloads

Experience with MLIR or LLVM

Building software for evolving hardware

Hiring and developing systems engineers

Job description

Normal Computing in New York is seeking a Silicon Software Lead to lead the team building software for innovative silicon technology. Here, you will design the software stack for substantial hardware that doesn't yet exist, ensuring seamless collaboration with hardware architects.

The position demands a strong background in systems programming, leadership in engineering, and an understanding of ML workloads. Join a vibrant team dedicated to making groundbreaking advancements in computation.