Quadric.io

Deep Learning Compiler Engineer (New Grad)

Quadric.io$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or related field, completed within the past year or in the next six months.
  • Strong proficiency in Python and C++.
  • Understanding of compiler concepts including intermediate representations and transformation passes.
  • Ability to navigate and reason through large, unfamiliar codebases.
  • Excellent debugging and problem-solving skills with effective written communication.

Responsibilities

  • Design and implement compiler passes for lowering neural network IR to hardware-targeted code.
  • Diagnose compilation issues by tracing through the pipeline using IR dumps and static analyses.
  • Collaborate with senior engineers to optimize data movement and core utilization.
  • Partner with other teams to align compiler features with model requirements and hardware limitations.
  • Contribute to the development and enhancement of tools for testing and debugging in the CGC pipeline.

Benefits

  • Medical, dental, and vision plans available from day one
  • Unlimited flexible paid time off to promote work-life balance
  • Company-provided lunches and a stocked kitchen for in-office employees
  • 401(k) retirement plan to support long-term financial goals
  • Opportunity to work in a collaborative, politics-free environment
  • Access to a downtown office convenient to shops and transportation
  • Support for commuting costs, including monthly parking or Caltrain passes
Full Job Description
As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models through Relay IR down to C++ targeting the Chimera GPNPU. You will own work in real compiler passes - layout selection, memory allocation, operator splitting, code generation - and your changes will ship into the code that runs on Quadric silicon. This is a hands-on engineering role on a small, senior team. You will design IR transformations, debug the C++ the compiler emits, and drive how efficiently neural networks map to our hardware. The ramp is steep, the codebase is large, and the feedback loop from your changes to running silicon is short. Note: We strongly prefer candidates willing to relocate to the California Bay Area and work from our Burlingame office.

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.
  • 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


The base salary range for this position is $120,000 -$160,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.

Quadric also offers the generous benefits package outlined above and other programs designed to support your health and wellbeing.

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.

About Quadric.io

Quadric.io is a computer hardware company that specializes in developing high-performance processors for artificial intelligence applications. The company was founded in 2016 and is based in Palo Alto, California. Quadric.io's processors are designed to be highly efficient and scalable, making them ideal for use in data centers and other large-scale computing environments. The company has received significant investment from venture capital firms and has attracted attention for its innovative approach to processor design.
Learn more about Quadric.io
Size
50 employees
Industry

Similar Jobs

More Jobs at Quadric.io

More Information Technology Jobs

Find similar Deep Learning Compiler Engineer (New Grad) jobs: