Data Scientist, New Grad - Model Optimization

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware 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 NPUs or neural network accelerators 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.

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.

• 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.

• 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 Tensor Flow), Num Py, 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.

At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear:
Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.

• 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…