Software Engineer II - AI/ML & Embedded Systems

Shure; Niles (IL); Hybrid; USD 90,600 - 145,000; Full time

Benefits offered by this job

Health insurance

Hybrid work model

Professional development opportunities

Job summary

Shure is seeking an Engineer II, Software to translate cutting‑edge AI/ML research into scalable technologies powering real‑world audio, video, and collaboration products. The role spans embedded to cloud platforms, requiring collaboration with researchers, data engineers, and product teams.

The successful candidate will enhance real‑time, offline, and semi‑latent systems, optimize models, and help define feature sets and deployment strategies for diverse environments.

Qualifications

• Bachelor’s degree in computer science, computer engineering or related field; with minimum 2 years of related experience OR Master’s degree
• Must have: Proficiency in C++
• Proficiency in one or more other high level programming 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
• Experience with any of the following highly desirable: 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

Skills

C++

Python

Java

Multithread real-time

Object-oriented design

Education

Bachelor’s degree in CS/CE or related

Master’s degree

Tools

Embedded Linux

AOSP

GPU programming

Hardware DL accelerators

Job description

Shure is seeking an Engineer II, Software to translate cutting‑edge AI/ML research into scalable technologies powering real‑world audio, video, and collaboration products. The role spans embedded to cloud platforms, requiring collaboration with researchers, data engineers, and product teams.

The successful candidate will enhance real‑time, offline, and semi‑latent systems, optimize models, and help define feature sets and deployment strategies for diverse environments.