Engineering Manager, Compiler & Runtime

Normal Computing; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

Normal Computing seeks an Engineering Manager, Compiler & Runtime to lead the team that builds the compiler translating PyTorch models to our hardware. You will drive the runtime and kernels, working with a senior compiler architect as the hardware matures from simulators to silicon.

This is a people-led role requiring hiring, career development, and aligning software plans with hardware milestones. You will ensure robust testing and release practices while coordinating with hardware, serving,

Qualifications

• Experience managing engineers who build compilers, runtimes, or kernels
• Track record of hiring and mentoring systems engineers
• Ability to review designs and weigh trade-offs with senior engineers
• Experience delivering software on hardware schedules from simulation to bring-up

Responsibilities

• Team Building: grow the compiler and runtime team from its first engineers
• Delivery: plan milestones and staffing; deliver end-to-end PyTorch on hardware
• Technical Partnership: collaborate with compiler architect on decisions
• Cross-Team Coordination: coordinate with hardware drivers/firmware and serving/simulation
• Simulation-to-Silicon Continuity: keep stack working from simulators to silicon
• Engineering Practices: establish testing, release, and review processes

Skills

People management

Compiler & runtime experience

Systems engineering leadership

Hardware-accelerator familiarity

Education

Bachelor's degree in Computer Science or related field

Tools

ML compiler stacks

Simulation & FPGA prototyping

PyTorch familiarity

Job description

Normal's hardware runs the most memory-bound parts of large-model inference inside memory itself, rather than shuttling weights to a processor. The software that makes this programmable doesn't exist yet in any standard form. As Engineering Manager, Compiler & Runtime, you will build and lead the team that writes the core of it: the compiler that takes PyTorch models to our hardware, the runtime that executes them, and the kernels in between.

This is a people-leadership role on a technical team. You will hire the team, plan its work against the hardware program, and partner with our senior compiler architect, who sets the team's technical direction. Our chip is pre-silicon, so the team builds against simulators and FPGA prototypes first.

What You Will Own

• Team Building: Grow the compiler and runtime team from its first engineers, set the hiring bar, and develop each engineer's growth and career.
• Delivery: Turn the Systems Software roadmap into plans, milestones, and staffing for the compiler, runtime, and kernels, and deliver against them. Success means LLMs run end to end on our hardware through PyTorch.
• Technical Partnership: Work with our compiler architect so that technical decisions get made, staffed, and finished. Stay close enough to the work to review designs and weigh trade-offs.
• Cross-Team Coordination: Coordinate with the hardware team, which owns drivers and firmware, and with the serving and simulation work that depends on the compiler and runtime.
• Simulation-to-Silicon Continuity: Keep the compiler and runtime working against simulators, FPGA prototypes, and silicon as the hardware matures, so software development never waits on tapeout.
• Engineering Practices: Set up the testing, release, and review practices that make the stack reliable enough to ship to customers.

What Makes You a Great Fit

• Experience managing engineers who build compilers, runtimes, or kernels for accelerators or other non-standard hardware
• Track record of hiring and mentoring strong systems engineers
• Enough depth in compilers and runtimes to review designs and weigh technical trade-offs with senior engineers
• Experience delivering software against a hardware schedule, from simulation through bring-up
• Familiarity with state of the art ML compiler stacks and with LLM inference workloads

Bonus Points

• Experience taking an accelerator software stack from zero to production at a startup or new hardware initiative
• Experience with in-memory compute, processing-in-memory, or analog hardware interfaces
• Experience shipping an SDK or software product to external customers