Senior AI Engineer – Physical AI

Job not on LinkedIn

🕒 May 27

☕ Washington – Remote

☕ Washington – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Lowe's Companies, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1946

🛒 Retail

Retail

Lowe's Companies, Inc. is a home improvement company offering a wide range of products and services for home renovation and maintenance. With a focus on providing opportunities and career paths in corporate, store, supply chain, and technology sectors, Lowe's aims to grow and succeed as a team. The company is headquartered in Mooresville, North Carolina and is committed to equal employment opportunities. Lowe's is known for its signature gable mansard design, and offers a variety of positions across different fields within the company. Lowe's serves a diverse customer base and provides a supportive work environment for its employees.

📋 Description

• Design and deploy ML/DL models for robotics, computer vision, and Physical AI applications. • Optimize models for real-time, edge, and scalable AI environments. • Integrate perception, planning, and decision-making systems across AI platforms. • Build scalable data pipelines and streaming architectures for CV, IoT, robotics, and multimodal data. • Develop reusable datasets and feature engineering pipelines. • Ensure data quality, observability, and efficient data movement for AI workloads. • Design and maintain AI platform tools, frameworks, and infrastructure supporting the ML lifecycle. • Implement CI/CD, deployment, monitoring, and platform automation capabilities. • Optimize GPU/CPU resource utilization for performance, scalability, and cost efficiency. • Implement security, governance, and compliance best practices. • Define KPIs, evaluation frameworks, and model performance metrics. • Lead experimentation, benchmarking, and A/B testing initiatives. • Use platform insights and user feedback to drive continuous improvement. • Partner with data science, robotics, CV, platform, and business teams to deliver scalable AI solutions. • Translate business requirements into technical AI capabilities. • Collaborate across teams to align platform innovation with organizational goals. • Mentor engineers and drive engineering and MLOps best practices. • Foster innovation, technical excellence, and continuous learning across teams.

🎯 Requirements

• Bachelor’s degree in science, technology, engineering, math, or related field or equivalent years of experience in lieu of education requirement, if applicable • 4 years of experience in ML platform engineering, data, and MLOps tools, and ML frameworks • 3 years of experience working with GPU and CPU infrastructure, optimizing ML models for performance • 3 years of programming language experience

🏖️ Benefits

• 401k with up to 4.25% match • Discounted Employee Stock Purchase Plan (15% discount of strike price) • Tuition-Free Education • 10-week Maternity/Parental Leave • 10% Associate Discount