Senior Software Engineer, Motorola Solutions

• 4+ years of software development experience working with Python, SQL
• Must be a US Citizen with ability to obtain necessary security clearance as required by government contract
• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position
• Expert knowledge of software design and best practices for full development life cycle, including coding standards, code reviews, source control management, build processes, testing methodology, security, and audit/monitoring requirements
• Strong analytical skills capable of evaluating ideas, assessing risks, and controlling feature scope in real-time streaming solutions
• Highly proficient database and data modeling skills
• Experience developing containerized solutions (Docker, Kubernetes) and serverless infrastructure (e.g. AWS Lambda)
• Experience working with cloud-based solutions and configuration: Azure, AWS, and GCP
• Excellent written and oral communication skills to collaborate in a multinational environment with teams spanning the globe
• Familiarity with MLOps and full ML lifecycle management from prototype to production
• Experience iterating on models and production code based on feedback
• Bachelors degree with 4+ years of software development experience working with Python
• AND 4+ years of experience using CI/CD (Github Actions, Azure DevOps, or Jenkins)
• Must be a U.S. citizen with ability to obtain necessary security clearance as required by government contract

Desirable

• The AI Services team is looking for an experienced software engineer experienced with audio data, machine learning, and designing scalable systems
• Our area of work is to enable fast, accurate, and natural communication between human operators and their underlying information in real-time systems
• Develop mission-critical software solutions that are maintainable, testable, scalable, performant, and highly available
• Promote best practices in software architecture, coding standards, and quality assurance while developing interfaces and workflow orchestration for real-time and batched solutions
• Support evaluation and analysis of our solutions and models (latency benchmarks, noisy audio and data, accuracy, etc)
• Build and warehouse datasets for training and validation purposes, working closely with data scientists and other engineers
• Ensure security, compliance, and compartmentalization of data for public safety and enterprise customers
• Design and implement scalable ML/AI systems and pipeline
• Optimize model performance and accuracy to meet system requirements