Software Development Engineer, WHS Data-Tech

Amazon • Nashville, TN

6d • $136,500 - $194,400 • Onsite

About The Position

We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.

You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs. If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
• Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)

Responsibilities

• Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
• Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
• Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
• Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
• Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
• Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
• Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level