Quadric.io

Data Scientist, New Grad - Model Optimization

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

Qualifications

  • B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or similar field completed within the last year.
  • Strong Python skills and proficiency with PyTorch (or TensorFlow), NumPy, and data visualization tools.
  • Solid foundational knowledge of machine learning principles, including CNNs and Transformers.
  • Interest in quantization, numerical representation, and low-level performance optimization.
  • Ability to interpret research papers and replicate significant findings.
  • Bonus: practical experience with quantization techniques or frameworks like PyTorch FX, TF-Lite, ONNX-Runtime, and MLIR Quant.
  • Bonus: familiarity with embedded systems, DSPs, GPUs, or other hardware accelerators.

Responsibilities

  • Develop and deploy quantization workflows for vision and language models.
  • Investigate numerical errors, identify accuracy regressions, and implement calibration strategies to regain lost accuracy.
  • Enhance Quadric's quantization library with new algorithms and operators.
  • Build and maintain infrastructure for numerical accuracy testing and debugging for neural networks on the GPNPU.
  • Collaborate with other teams to design solutions that utilize the GPNPU's numerical capabilities.

Benefits

  • Competitive salary and equity options from day one.
  • Comprehensive medical, dental, and vision coverage available immediately.
  • 401(k) retirement plan for financial security.
  • Flexible paid time off with unlimited non-accrual policy to support work-life balance.
  • Company-provided lunches and stocked kitchens for in-office employees.
  • Convenient office location near public transit for easy commutes.
  • Support for commuting costs through parking or public transport passes.
  • Office located close to local shops and amenities for convenience.
  • Collaborative workplace culture promoting immediate impact and personal connections.
Full Job Description
Role:

You will join the data science team in a full-time role focused on model optimization for Quadric's custom GPNPU architecture. You will own quantization work for production models, extend our quantization library, and build the numerical accuracy testing and debugging infrastructure that the team relies on day to day.

Responsibilities:
  • Develop and deploy quantization workflows for vision and language models, taking models from FP32 reference to deployable low-precision implementations that meet accuracy targets.
  • Investigate per-layer numerical error, identify accuracy regressions, and propose calibration, PTQ, or QAT strategies to recover lost accuracy.
  • Extend Quadric's quantization library with new operators, observers, and algorithms.
  • Build and maintain numerical accuracy testing infrastructure and debug tooling for neural networks running on the GPNPU.
  • Collaborate with graph compiler, kernel, and hardware teams to co-design solutions that exploit the GPNPU's numerical capabilities.

Requirements
  • B.S., M.S., or Ph.D. in CS, EE, Applied Math, or a related field, completed within the last year.
  • Strong Python skills and fluency with PyTorch (or TensorFlow), NumPy, and data-viz tools (Matplotlib/Plotly).
  • Solid machine learning foundations; working knowledge of CNNs and Transformers.
  • Interest in quantization, numerical representation, fixed-point arithmetic, or low-level performance.
  • Ability to read research papers, evaluate the core ideas, and reproduce key results.
  • Bonus: hands-on experience with quantization or model compression, or any of PyTorch FX/PTQ/QAT, TF-Lite, ONNX-Runtime, TVM, or MLIR Quant.
  • Bonus: experience with embedded systems, DSPs, GPUs, or other accelerators.
  • Bonus: published research, open-source contributions, or coursework projects in model optimization, efficient ML, or systems for ML.

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.

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

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