Senior Software Engineer

Cavnue, a Consor company, is redefining what's possible for modern transportation infrastructure. As the digital infrastructure platform within Consor Engineers, a leading North American engineering and advisory firm, Cavnue combines advanced roadway technology with deep transportation design and delivery expertise to modernize how roads are operated and managed.

We believe the future of roadways is connected, intelligent, and designed to actively improve safety, efficiency, and accessibility for all users. While vehicle technologies such as advanced driver assistance systems and automated driving continue to evolve rapidly, roadway infrastructure must evolve alongside them. Cavnue is closing that gap by developing and deploying smart road technologies that deliver a real-time digital twin of the roadway environment, leveraging AI-enabled analytics, sensors, cameras, and integrated digital infrastructure to provide actionable operational insights.

Together with Consor, we are accelerating the deployment of these solutions at scale, helping public and private clients modernize infrastructure and prepare for the next generation of mobility. With active projects across the United States, our work is setting a new standard for roadway performance today while laying the foundation for a safer, more efficient, and more connected transportation future.

Join us as we shape the future of infrastructure where digital innovation meets engineering excellence to deliver measurable real-world impact.

Role Overview

We are looking for a versatile generalist Senior Software Engineer, for our Core Software team, with a strong foundation in high-performance computing who excels at building and operating real-time systems. This is a hands-on role focusing on the core internals of our platform, including building low-latency communication between applications, integrating object tracking algorithms, ensuring reliable data flow from edge devices, and preparing data for AI model inference and classification.

You will be expected to implement production-ready, product-facing algorithms directly in C++, and you must understand how to rigorously iterate and build off of historic and simulated data to validate these systems before they hit the real world. Our architecture centers on strong API interfaces, requiring strong data interface knowledge to ensure robust communication. This is supported by a stack including PostgreSQL for persistence and Terraform, Helm, and Argo for infrastructure and deployment.

This is a fully remote, hands-on individual contributor role with meaningful ownership across core systems. We need a true self-starter who handles ambiguity well. You will be expected to take high-level requirements and run with them end-to-end—from initial implementation to production deployment and ongoing Operations & Maintenance (O&M). You think beyond the code, connect your work to the broader product, and use AI-assisted tools thoughtfully to move faster without compromising quality.

Core Responsibilities: 

• Handle ambiguity as a self-starter, taking raw requirements and translating them into robust system design and implementation.
• Take complete ownership of the feature lifecycle, driving it from initial development through production deployment and ongoing O&M (Operations & Maintenance).
• Design, build, and maintain high-throughput, low-latency C++, Go, and Python services, for core platform components.
• Iterate and build upon historic and simulated data sets to thoroughly test, tune, and validate algorithms before deploying them to live, real-time environments.
• Demonstrate strong data interface knowledge by designing and implementing high-performance inter-application communication protocols for real-time data exchange.
• Design and optimize data structures, Protobuf serialization, and Redis Streams for real-time data processing workloads.
• Architect and manage data pipelines from raw sensor ingestion to transformation, storage, and delivery.
• Design, implement, and integrate complex, high-performance product-facing algorithms, including tracking, inference, and sensor fusion directly into C++ and Python production services to deliver real-time insights and inferences.
• Develop REST APIs and internal/external service integrations.
• Implement and enhance deep system observability, monitoring, logging, and alerting for performance-critical C++ and Python applications.
• Operate containerized services on Kubernetes (using Argo and Helm) in GCP; document systems, runbooks, and integrations.
• Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

Nice to Have Experience: 

• Domain experience in transportation, robotics, au