Engineer II, Software

Shureorporated•Niles, IL

6d•Hybrid

About The Position

Join Shure’s Video and Emerging Data Technology team and help shape the next generation of intelligent audio, video, and collaboration solutions. As an Engineer II, Software, you will play a critical role in transforming cutting-edge AI/ML research into scalable, production-ready technologies that power real-world products used by customers around the globe. From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you’ll work at the intersection of innovation and product development. Partnering closely with research scientists, signal processing engineers, data engineers, and cross-functional teams, you’ll help bring emerging technologies from concept to commercialization while influencing the future direction of Shure’s technology portfolio. This position will be hybrid, based out of our Niles, IL HQ.

Requirements

Bachelor’s degree in computer science, computer engineering or related field; with minimum 2 years of related experience OR Master’s degree
Proficiency in C++
Proficiency in one or more other high level programing languages such as Python, Rust, Java, etc
Proficiency in software development principles, design patterns, and object-oriented design methodology, multi-thread real-time application.
Experience with embedded software development, Mac & PC application development, mobile apps, or cloud-based applications and services.
Working knowledge of signal processing, computer vision, and machine learning
Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

Nice To Haves

Real time video applications: processing, encoding, transmission, etc
Embedded Linux or AOSP development
GPU programming
Hardware deep learning accelerators

Responsibilities

Collaborate: work as part of a cross-functional team to create, design & implement cutting edge features and products
Ideate: brainstorm with research scientists and other stakeholders to identify use cases of value to Shure customers empowered by AI/ML and opportunities to optimize and platform solutions.
Conduct Research: survey literature and conduct original research and experiments to optimize implementation strategies and characteristics, solve problems, share findings and prototypes with colleagues, senior staff, and executives
Identify Software Requirements: in collaboration with AI/ML research scientists, other software engineers, and product managers. Identify and document architectural options and opportunities for platforming and reuse including working research scientists to standardize platformed solutions to frameworks and software deployments.
Implement Prototypes: software features in diverse areas from embedded (primary) to mobile apps, desktop, cloud, and database applications. Suggest subject-matter-relevant features and other software opportunities to enhance research scientists' chances of success (e.g. DSP approaches).
Develop Product Software Features: Implement, optimize, and test software applications and functionalities for real-time, semi-latent, and offline applications. Work with research scientists to identify and optimize input features, frame rates, model structures, and other characteristics that impact implementation characteristics.
Evaluate: Validate implemented AI/ML and other algorithm features: write software to automate measurement of AI and algorithmic features against defined metrics
Lead: Mentor, coach, and monitor the work of less experienced engineers.
Follow Coding Best Practices: Participate in code reviews and provide constructive feedback to peers.
Stay Current in Field: track progress in software methodologies, tools, and best practices
Participate in Working Groups: to promote collaborative problem solving in specific areas, sometimes tangential to your expertise
Design and Document Software Approach: in collaboration with team (or on own in independent projects) documented in collaborative systems
Invent: contribute to intellectual property, participate in brainstorming, and encourage general innovation in the group