Senior Embedded Software Engineer developing and testing embedded software for AV products at Audinate. Collaborating with cross - functional teams to enhance and introduce new features utilizing leading network technology.
About the role
- Principal Engineer at Walmart responsible for architecting and delivering transformative platform solutions. Collaborating with cross-functional teams to integrate AI/ML technologies and ensure system performance and security.
Responsibilities
- Define and drive the architectural vision for enterprise-scale platforms, with a strong emphasis on AI/ML integration, agentic systems, and intelligent automation.
- Guide engineering teams across domains on best practices, technical design, and architectural decisions.
- Architect resilient, cloud-native, full-stack solutions that deliver scale, performance, and security.
- Collaborate closely with data scientists, ML engineers, and product teams to operationalize AI/ML models, including those based on LLMs and deep learning architectures.
- Design and implement agent-based systems for proactive monitoring, triaging, and decision-making.
- Influence roadmap decisions and technical strategy in collaboration with senior leadership.
- Ensure high standards for quality, security, and performance through rigorous design and code reviews.
- Contribute to internal platform standards, reusable frameworks, and engineering playbooks.
- Champion the use of open-source and emerging technologies that align with Walmart’s innovation goals.
- Partner with cross-functional teams globally to solve complex business problems with intelligent solutions.
- Foster a culture of engineering excellence, mentoring senior engineers, and participating in org-wide technical forums.
Requirements
- Bachelor's Degree or Master’s Degree with 10+ years of experience in Computer Science or related field with expertise in platform architecture, scalable systems, and enterprise development.
- Proven leadership in designing and delivering large-scale, distributed systems.
- Strong foundation in algorithms, data structures, system design, and cloud-native principles.
- Deep expertise in backend development (Java, Scala, Spring Boot, Node.js, Microservices).
- Full-stack experience with modern front-end frameworks (React.js, Angular, TypeScript).
- Advanced proficiency in building RESTful and event-driven architectures.
- Experience working with message queues (Kafka, RabbitMQ), distributed caching, and observability stacks (ELK, Grafana, Splunk).
- Expertise with SQL/NoSQL data stores, schema design, and cloud data pipelines.
- Solid experience with CI/CD tooling, DevOps, containerization (Docker), orchestration (Kubernetes), and deployment on cloud platforms (Azure, GCP, AWS).
- Demonstrated experience integrating AI/ML capabilities into platform services —from model inference to feedback loops.
Benefits
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Company-paid life insurance
- Short-term and long-term disability
- Company discounts
- Adoption and surrogacy expense reimbursement
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