Top Senior Level C++ Jobs in Milwaukee, WI

As a Member of Technical Staff at Chronosphere, you will design and implement enhancements to the metrics API and ingestion pipeline, focusing on distributed systems and data storage challenges. Your role includes collaborating with cross-functional teams, mentoring peers, and optimizing the reliability and performance of the storage engine.

Design and implement customer-facing features with a focus on network security for the Meraki MX Security Router. Work on high performance and distributed systems in a collaborative team environment. Opportunity to work across the software stack from embedded firmware to cloud-hosted backend. Projects driven by innovation and market demands.

Lead the design and development of embedded systems architecture for Rockwell Automation, focusing on firmware specifications, optimizing performance, and supporting product architects. Collaborate with teams to deliver innovative product solutions and provide technical guidance on contemporary embedded software practices.

The Senior Embedded Software Engineer will design, develop, and document embedded software for hardware platforms, enhance code reusability, create maintainable C/C++ code, and collaborate with cross-functional teams to support new product initiatives and improve software development practices.

The Senior Staff Software Architect leads the transformation of the global software organization by providing technical leadership in software build and release engineering. They guide architectural direction, evaluate emerging technologies, and implement systems ensuring high-quality software delivery while mentoring junior developers.

The SR Backend Java Engineer will design and develop large-scale distributed systems, automate infrastructure management, lead projects, and mentor junior team members. The role involves working with technologies such as Java and cloud infrastructures, ensuring high-performance systems for a large user base.

Join Redis's core AI team to research, design, and implement advancements for Large Language Models (LLMs), focusing on optimization for relevance, latency, and privacy. Responsibilities include model optimization, tool development, and addressing complex NLP problems. Ideal for a self-directed individual with expertise in machine learning models and NLP.