Deep Learning Compiler Engineer (New Grad)

About the role

Quadric has created an innovative software driven AI inference processor. Licensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems.

Responsibilities

• Own compiler passes.
• Design and implement IR transformations that lower neural network IR to GPNPU-targeted code.
• Take pieces of the pipeline as yours and maintain them.
• Debug end-to-end.
• Diagnose compilation issues by tracing problems from generated C++ back through the pipeline.
• Use IR dumps, static analyses, and the ISS to root-cause compilation failures and performance regressions.
• Improve compiler decisions.
• Work with senior engineers to reduce data movement, improve core utilization, and tighten the gap between what the hardware can do and what we currently emit.
• Collaborate across teams.
• Partner with the kernel, hardware, and data science teams to align compiler features with real model requirements and hardware constraints.
• Strengthen the toolchain.
• Contribute to test infrastructure, debugging utilities, and developer ergonomics across the CGC pipeline and runtime.

Requirements

• Must-Haves:
  • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field, completed within the past year (or completing within the next six months).
  • Strong proficiency in Python and C++.
  • Solid grasp of compiler concepts: intermediate representations, dataflow analysis, transformation passes, and lowering.
  • Solid grasp of compiler concepts: intermediate representations, dataflow analysis, transformation passes, and lowering.
  • Comfort reading and reasoning about large, unfamiliar codebases.
  • Strong debugging and problem-solving skills, with the ability to communicate findings clearly in writing and review.
• Nice-to-Haves:
  • Coursework, research, or significant project experience in compilers, program analysis, or domain-specific languages.
  • Hands-on exposure to ML compiler frameworks such as TVM, MLIR, XLA, Glow, or IREE — bonus if you have written a non-trivial pass.
  • Familiarity with neural network quantization, fixed-point arithmetic, or numerical analysis for ML.
  • Experience with hardware-aware code generation for accelerators (GPU, DSP, NPU).
  • Some exposure to assembly, instruction scheduling, or low-level code generation.
  • Prior internship experience in compilers, ML systems, or performance engineering.
  • Published research or open-source contributions in compilers or ML systems.

Benefits

• Competitive salary and meaningful equity.
• Medical, dental, and vision plan options starting on day one.
• 401(k) retirement plan.
• Flexible paid time off (unlimited, non-accrual) to support work-life balance.
• When working in-office, enjoy company-provided lunches and a stocked kitchen.
• Convenient office location within walking distance of the Caltrain station.
• Support for commuting, including monthly parking or Caltrain passes.
• Downtown Burlingame office location, close to shops, cafes, and local amenities.
• A politics-free, highly collaborative environment where talented people can do their best work and make an immediate impact.
• The opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellence.

Company Information

• Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices.
• Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today.
• The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
• Quadric is proud to be an equal opportunity employer.
• We are committed to creating an inclusive environment where people from all backgrounds can do their best work.
• We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.