Senior Software Engineer - Applied AI/ML

Motorola Solutions•Indianapolis, IN

1d•Remote

About The Position

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. You will join a talented engineering organization with a track record of delivering meaningful and impactful solutions.

Requirements

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.
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
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

Nice To Haves

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.

Responsibilities

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