Principal Software Engineer

Reposted 9 Days Ago
Be an Early Applicant
Burlingame, CA
300K-300K
Expert/Leader
Hardware • Machine Learning • Software
The Role
Lead platform software engineering team to develop SDKs for NN libraries, collaborating across hardware-software stack, and driving implementation of product roadmaps.
Summary Generated by Built In

Description

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.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

As a leader of our platform software engineering team, you will manage development of SDK front end APIs, and their use in NN libraries and hardware verification tests. You will collaborate with other teams to co-optimize across the hardware-software stack. As a key member of the product leadership team, you will contribute to planning and implementation of product roadmaps.

Responsibilities:

  • Own and deliver Quadric SDK per customer requirements.
  • Create development plans based on resource and schedule constraints
  • Drive implementation to ensure execution to plan
  • Keep broader team informed about execution progress
  • Deploy processes for SW development and validation that enable quality deliverables.
  • Contribute to the development of cutting edge deep neural networks, computer vision and DSP algorithms using Quadric’s technology
  • Collaborate with Scheduler, Compiler and Hardware teams to build best-in-class quadric ecosystem
Requirements
  • MS or Ph.D. in Electrical or Computer Science/Engineering with a minimum of ten years of experience in the industry
  • Demonstrated experience in successfully leading teams to deliver production SDKs
  • Proficiency in C++ >= 11
  • Background in NN frameworks such as Tensorflow, Caffe, etc.
  • Knowledge of both classical Computer Vision and Neural Network algorithms
  • Knowledge of end-to-end toolchain, including compilers, linkers & debuggers
  • Experience with programming in openCV and/or OpenCL/CUDA highly desirable
Benefits
  • Provide competitive salaries and meaningful equity
  • Provide a politics free community for the brilliant minds who want to make an immediate impact
  • Provide an opportunity for you to build long term career relationships
  • Foster an environment that allows for lasting personal relationships alongside professional one

Top Skills

C++
Caffe
Cuda
Opencl
Opencv
TensorFlow
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The Company
HQ: Burlingame, CA
38 Employees
On-site Workplace
Year Founded: 2017

What We Do

Quadric has built a unified hardware/software architecture optimized for on-device machine learning inference. Only the Quadric GPNPU (general purpose neural processing unit) delivers high ML inference performance while also running C++ code without forcing the developer to artificially partition application code between two or three different kinds of processors. Quadric's GPNPU is a licensable processor IP core that scales from 1 to 64 TOPs and seamlessly intermixes scalar, vector and matrix code.

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