Staff, Software Engineer- ML inferences system

Position Summary :

If you think you are the right match for the following opportunity, apply after reading the complete description.

What you'll do :

It's an exciting time to join our Walmart journey, we are seeking a Staff Software Engineer. At Walmart, technology empowers us and people to lead.

You will be working on future looking initiatives that is targeted at improving in store customer experience for the 240+ million Walmart customers that shop at our stores.

The mission is to create step change in-store experiences, leveraging emerging technology to help define and deliver on evolving customer expectations.

Its success requires a cross-functional, mission-based team that is highly entrepreneurial, collaborative and passionate about solving the unsolved problems.

Your role requires close collaboration with Computer Vision data scientists, software engineers, ML Ops, and DevOps teams.

Together, you will design and construct inference pipelines that leverage a combination of AI and heuristic models to address business use cases.

Your responsibilities include selecting suitable compute platforms for inferences, choosing technologies to serve models, designing inference pipelines, and ensuring operational excellence.

Your contributions will be essential in leveraging computer vision to drive meaningful impact on our business.

About Team :

Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both of these stakeholders.

We also optimize tariffs and assortment in accordance with Walmart's Everyday Low Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites.

What you'll do :

• Spearhead the development of scalable and extensive ML inferences system that drive AI-powered front-end solutions. These solutions enhance the customer's shopping experience.
• Design and build offline simulation systems to run parts and full system in an offline manner to allow for testing and evaluation of system in a controlled manner.
• Enhance model performance by choosing the right hardware and software platforms to serve models in production.
• Providing expertise and guidance on all technical aspects of development, including requirements, design, and implementation.
• Driving operational excellence by implementing monitoring and alerting systems to maintain our SLAs.
• Ensuring engineering best practices, so that the team follows a structured and efficient approach to their projects.

What you'll bring :

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• At least 7 years of experience leading design and implementation of high performance edge systems.
• At least 5 years of working in C / C++ or Python.
• Solid understanding of data structures, algorithms, and software design principles.
• Experience in one or more of the following areas : machine learning, computer vision, gStreamer / Deepstream, GPU programming / profiling.
• Strong problem-solving skills and meticulous attention to detail.

Minimum Qualifications :

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1 : Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.

Option 2 : 6 years' experience in software engineering or related area.

Preferred Qualifications :

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.

We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.

2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location :

Phyllis St. N Of Hwy 102, West Side Of Street, Bentonville, AR 72712, United States of America.

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