Walmart - Hoboken, NJ

posted 3 months ago

Full-time - Mid Level
Hoboken, NJ
General Merchandise Retailers

About the position

At Walmart, we are on an exciting journey to enhance the in-store customer experience for over 240 million customers. As a Staff Software Engineer, you will play a pivotal role in this mission by focusing on the Item Recognition capability, which is integral to our sophisticated Computer Vision systems. This position encompasses the entire machine learning lifecycle, from data capture to model deployment, and requires a collaborative, entrepreneurial spirit to solve complex problems. You will be responsible for designing, implementing, and maintaining the data pipeline that supports this capability, ensuring that our systems deliver an unparalleled consumer experience in the physical retail space. Your contributions will be crucial to the success of these systems, as you will design and implement efficient, robust, and scalable systems for data curation and management. You will provide technical expertise and guidance throughout the development process, driving operational excellence by implementing monitoring and alerting systems to maintain our service level agreements (SLAs). Additionally, you will manage project priorities, deadlines, and deliverables while influencing and coaching a distributed team of engineers. This role requires a strong work ethic, a sense of ownership, and the ability to communicate complex features and systems effectively to both technical and non-technical stakeholders. At Walmart Global Tech, we believe that technology empowers our associates and enhances the customer experience. We are committed to innovation and are looking for individuals who are passionate about leveraging emerging technologies to redefine retail. Our hybrid work model allows for flexibility, combining in-office collaboration with virtual work, enabling us to make quicker decisions and remove location barriers. Join us in shaping the future of retail technology and making a significant impact on millions of lives.

Responsibilities

  • Design and implement robust, scalable systems for data curation and management, supporting the Item Recognition Capability.
  • Collaborate with Data Capture Team and Computer Vision Team to enhance the data pipeline.
  • Ensure engineering best practices are followed for structured and efficient project execution.
  • Provide expertise and guidance on all technical aspects of development, including requirements, design, and implementation.
  • Effectively communicate complex features and systems in detail to stakeholders.
  • Align with peers and summarize learnings, take-aways, and recommendations for executive leadership.
  • Mentor and coach team members to foster their professional growth.

Requirements

  • Bachelor's degree in computer science with 8+ years of experience in software development, or a Master's degree/PhD in Engineering/Computer Science with relevant experience.
  • 5 years of experience testing and launching software products.
  • 3 years of experience with software design and architecture.
  • 2 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience leading projects with industry-wide impact.
  • Demonstrated capability in data curation and management, particularly in Data Engineering and AI/ML.
  • Solid understanding of data structures, algorithms, and software design principles.
  • Proficiency in multiple programming languages (e.g., TypeScript, Node.js, Python, C++).
  • Strong analytical and problem-solving skills.

Nice-to-haves

  • Significant experience in machine learning and computer vision.
  • Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.
  • Experience in creating inclusive digital experiences.

Benefits

  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • Paid time off (PTO)
  • Multiple health plans including medical, vision, and dental coverage
  • Short-term and long-term disability
  • Company discounts
  • Education assistance for associates and dependents
  • Paid time off for military service
  • Adoption and surrogacy expense reimbursement
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