Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

quadric.io, Inc Field Application Engineer (Machine Learning) in Burlingame, California

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.

Role:

The Field Application Engineer (FAE) will work closely with Business Development, Product, and Engineering to provide pre-and post-sales technical customer support. This position requires excellent customer communication and troubleshooting skills to conduct remote and on-site training and product presentations. This position is a technical position that will require additional skills such as system debugging, coding, scripting. Candidates are expected to work independently and acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.).

Responsibilities:

  • Work with Business Development to sell the technology from quadric.io

  • Work with customers to install SDK and algorithms and analyze customer systems to determine the best HW/SW solutions for their system.

  • Analyze technological problems brought in by customers and communicate with engineering for the best solution..

  • Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.

  • Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.

  • Deliver periodic training sessions

  • Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer's needs.

  • Interface with product marketing and engineering

  • Conduct project feasibility studies

  • Some travel required

Requirements

  • Bachelor’s in computer science and/or Electronics Engineering field.

  • Minimum 3+ years experience working with customers/business development supporting SDKs.

  • Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision.

  • Proficiency in Python.

  • Experience describing, building, running and deploying Docker containers.

  • Experience with Linux or Unix based operating systems.

  • Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite.

  • Experience quantizing, running and debugging neural networks with ONNX runtime a plus.

  • Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)

  • Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc.

  • Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades.

Benefits

  • Health Care Plan (Medical, Dental & Vision)

  • Retirement Plan (401k, IRA)

  • Life Insurance (Basic, Voluntary & AD&D)

  • Paid Time Off (Vacation, Sick & Public Holidays)

  • Family Leave (Maternity, Paternity)

  • Short Term & Long Term Disability

  • Training & Development

  • Work From Home

  • Free Food & Snacks

  • Stock Option Plan

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