Senior Software Architect Leader

3 days ago


Menlo Park, California, United States oilandgas Full time
Job Overview

We are seeking an experienced Senior Software Architect to lead our team in defining and implementing a robust Product Line roadmap. The successful candidate will have expertise in Machine Learning/AI, software solutions, design, implementation, and architecting.

About the Role

This is a full-time position offering a competitive salary of $198,625 per annum, located at 2700 Sand Hill Road, Menlo Park, CA 94025.

Key Responsibilities

The ideal candidate will collaborate with the Product Software Architect to define and implement technical solutions in ML/AI areas. They will help develop and maintain architectural artifacts for projects prior to feasibility launch, ensuring the architecture addresses product development and business goals.

Additionally, they will work closely with the Project Manager and Product Champion to ensure proper implementation of the product architecture by the development team. Staying abreast of the latest technology advances in related areas is also essential.

Minimum Requirements

A Master's degree in Computer Science, Computer Engineering, or a related STEM field, or a foreign equivalent, plus 3 years of post-baccalaureate experience in job-offered or machine learning/engineering-related job titles is required.

The successful candidate must possess at least 3 years of experience in:

  1. Applied ML/AI (including Computer Vision, time series analysis, data science);
  2. Software solutions related to machine learning and artificial intelligence;
  3. Design, implementation, or architecting in applications or infrastructures;
  4. Edge deployments and strategies for optimization;
  5. Edge architectures, including implications of employing CPU, GPUs, other hardware to execute the ML/AI workloads;
  6. Edge computing, systems engineering, infrastructure security, monitoring, networking, data, and analytics;
  7. Producing detailed architecture diagrams of project and workflow;
  8. Articulating the pros and cons of available technical choices in consideration of the end-to-end application;
  9. Python, SQL, PyTorch/Tensorflow/Keras, NumPy, pandas, Google Cloud (GCP), AWS, Azure.
About Oil and Gas Company

We offer a dynamic work environment and opportunities for professional growth and development.



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