Role Description 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. Responsibilities and Expectations - 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. Qualifications - 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. Additional Skills - Experience working with ML models, including traditional networks and large language models (LLMs). - Delivered solutions across domains like audio, NLP, generative AI, edge AI. - Experience with ML frameworks (PyTorch, Tensorflow) and infrastructure (e.g., Databricks, MLFlow, AWS SageMaker, Hugging Face). - Experience with distributed computing frameworks like Ray. - Experience with orchestration tools like Apache Airflow or Temporal. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Requirements - Bachelors degree with 4+ years of software development experience working with Python. - 4+ years of experience using CI/CD (Github Actions, Azure DevOps, or Jenkins). - Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. - Must be a U.S. citizen with ability to obtain necessary security clearance as required by government contract. Travel Requirements - Under 10% Relocation Provided - None Benefits - Incentive Bonus Plans - Medical, Dental, Vision benefits - 401K with Company Match - 10 Paid Holidays - Generous Paid Time Off Packages - Employee Stock Purchase Plan - Paid Parental & Family Leave - and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.