Deep Learning Compiler Engineer (New Grad)

quadric.io, Inc

Burlingame (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and equity
Medical, dental, and vision plan options
401(k) retirement plan
Flexible paid time off
Company-provided lunches
Support for commuting

Job summary

quadric.io, Inc in Burlingame is seeking a Deep Learning Compiler Engineer to join their innovative team. As a new graduate, you will work on the neural network compiler that lowers ONNX models to target the Chimera GPNPU. Responsibilities include designing IR transformations, debugging operations, and collaborating to improve core utilization. This position offers a competitive salary range of $120,000–$160,000 and a comprehensive benefits package, emphasizing strong personal connections in a collaborative work environment.

Qualifications

  • Recent graduate or completing a degree within six months.
  • Strong proficiency in Python and C++.
  • Solid grasp of intermediate representations and transformation passes.
  • Comfort with unfamiliar codebases.
  • Strong debugging and problem-solving skills.

Responsibilities

  • Own compiler passes and implement IR transformations.
  • Diagnose compilation issues and debug end-to-end.
  • Work with senior engineers to improve compiler decisions.
  • Collaborate with other teams for alignment with model requirements.
  • Contribute to debugging utilities and developer tools.

Skills

Python
C++
Compiler concepts
Debugging skills

Education

Bachelor's, Master's, or PhD in Computer Science or Electrical Engineering

Job description

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. Unlike other neural engines in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

The Role

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 located in the California Bay Area, or willing to relocate to the California Bay Area and regularly collaborate 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.
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.

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.

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