Cavnue

πŸ‘₯ 101-250πŸ’° $130,000,000 Series A about 3 years agoInformation ServicesAutonomous VehiclesSoftwareπŸ’Ό Private Company
Website LinkedIn Email Twitter

Cavnue is revolutionizing road infrastructure to support the future of connected and autonomous vehicles. We're developing a first-of-its-kind connected corridor in Michigan, the birthplace of the automobile, combining cutting-edge technology with physical road design. Our platform analyzes road conditions in real-time, providing actionable alerts and guidance to vehicles and drivers, making roads safer, less congested, and more sustainable. Our technology stack includes U.S. Server Location, Person Schema, Gravatar Profiles, and About Cookies. We are committed to high-quality code, thoughtful design, and modern development practices. We utilize tools like Git, GitHub, Jira, and Confluence. As a remote-friendly company, we offer collaborative engineering environments, and value cross-functional teamwork with various engineering disciplines. We are backed by a Series A funding of $130M, demonstrating our strong market position and growth trajectory. At Cavnue, our mission is to set a new standard for road performance and safety. We are building a team with diverse backgrounds and experiences, committed to innovation and excellence. Our engineering culture values collaboration, continuous improvement, and a positive work environment. We encourage and support employee learning and development. We are actively hiring, with multiple job openings across a variety of disciplines. Check out our open positions and discover the future of the road with Cavnue!

Related companies:

Jobs at this company:

Apply

🧭 Full-Time

πŸ’Έ 145000.0 - 195000.0 USD per year

πŸ” Software Development

  • 5+ years of hands-on experience in infrastructure engineering, DevOps, or SRE roles, with a track record of operating production cloud environments at scale.
  • Strong experience using Terraform for infrastructure provisioning and configuration management in cloud environments.
  • Proficiency in multi-cloud operations – Google Cloud Platform (GCP) is highly preferred; experience with Amazon Web Services (AWS) and/or Microsoft Azure is also acceptable.
  • Deep understanding of Kubernetes (required), including experience setting up and managing Kubernetes clusters, deploying containerized applications, and debugging cluster and networking issues.
  • Ability to write clean, maintainable code for automation and tooling in Python and/or Golang.
  • Familiarity with basic networking concepts and protocols (TCP/IP, DNS, load balancing, VLANs/VPCs, firewalls) and how they apply in cloud and hybrid environments.
  • Willingness to take part in on-call rotations and proven skills in troubleshooting and resolving infrastructure incidents under pressure.
  • Strong hands-on skills with Linux and command-line tools; you are comfortable using terminals and utilities (e.g. k9s for Kubernetes, tmux sessions, zsh or similar shells) to manage and debug systems efficiently.
  • Knowledge of zero trust architecture principles and a habit of incorporating security best practices into infrastructure design (formal security certifications are not required).
  • Excellent communication skills with the ability to work cross-functionally. You can collaborate in a fast-paced engineering organization, explain complex infrastructure concepts to team members, and contribute to a positive engineering culture.
  • Design and implement cloud and edge infrastructure
  • Use Terraform to provision and manage infrastructure resources consistently across multiple cloud providers (GCP preferred, with AWS/Azure as needed), enabling reproducible and auditable infrastructure changes.
  • Deploy, administer, and optimize Kubernetes clusters for containerized workloads. Handle cluster upgrades, scaling, monitoring, and troubleshoot complex issues in production Kubernetes environments.
  • Develop robust automation scripts and internal tools/services in Python and/or Golang to automate routine tasks, integrate systems, and improve operational efficiency across the infrastructure.
  • Implement monitoring, logging, and alerting solutions to track system performance and reliability. Proactively tune systems and address bottlenecks to maintain smooth operation of critical services.
  • Embed security best practices into the infrastructure, enforcing zero trust architecture principles (e.g. least privilege, identity-based access) to protect systems and data. Work closely with security teams to remediate vulnerabilities and ensure compliance with company policies.
  • Participate in an on-call rotation during the team’s initial growth phase, quickly responding to infrastructure incidents and leading efforts to restore service and perform root cause analysis.
  • Work closely with all teams to understand application needs and translate them into scalable infrastructure solutions. Communicate clearly across teams and document designs and processes for broad understanding.
  • Stay up to date with emerging technologies and industry best practices in cloud infrastructure, DevOps, and platform engineering. Lead or contribute to infrastructure projects that enhance deployment speed, cost efficiency, and overall platform reliability.
Posted 3 days ago
Apply
Apply

πŸ’Έ 145000.0 - 195000.0 USD per year

  • 5+ years of hands-on experience in infrastructure deployment, construction projects, or field engineering, with a proven track record of successful project execution involving power, mechanical, and/or fiber systems, preferably in public infrastructure or DOT-related projects.
  • Deep understanding of electrical distribution systems, including utility service drops, site-level panel work, grounding, and metering. Ability to troubleshoot power issues and ensure compliance with electrical codes and standards.
  • Extensive familiarity with trenching, underground conduit installation, and fiber optic infrastructure deployment. Experience working within or around DOT rights-of-way and adhering to relevant regulations.
  • Strong ability to read, interpret, and review detailed civil and electrical engineering drawings. Experience redlining plans and identifying potential issues related to hardware integration, constructability, and compliance.
  • Hands-on experience designing, assembling, and maintaining lab-based mockups or simulation environments to validate mounting strategies, installation processes, and system integration.
  • Proven ability to coordinate and supervise the mechanical installation of infrastructure components, including poles, cabinets, cameras, and sensor packages. Ensuring precision and adherence to engineering specifications.
  • Demonstrated aptitude for troubleshooting and resolving complex infrastructure issues in the field, often under pressure. Ability to adapt to changing conditions and find solutions on-site.
  • Excellent communication and collaboration skills, especially with public sector stakeholders (DOTs), utilities, engineering firms, and vendors. Ability to explain complex technical concepts clearly and concisely.
  • Strong commitment to safety protocols and procedures.
  • Willingness to travel to deployment sites as required (15-30%) and adapt to various field conditions and project schedules. Proactive in seeking solutions and providing on-site support.
  • Ability to create and maintain accurate technical documentation, including installation procedures, site reports, and as-built drawings.
  • Serve as the primary technical point of contact for Cavnue with DOTs, utilities, engineering firms, and system integrators throughout all phases of roadside deployments. Manage relationships, facilitate communication, and ensure alignment on technical requirements and project timelines.
  • Oversee and direct the complete execution of site-level power provisioning, including coordinating utility service drops, ensuring accurate installation of electrical panels, grounding systems, and metering equipment. Conduct quality checks and ensure adherence to safety regulations and codes.
  • Provide in-depth technical guidance on civil works, encompassing trenching plans, underground conduit routing, and the installation of fiber optic infrastructure. Collaborate with civil engineering partners, review designs, and ensure compliance with DOT specifications and local regulations.
  • Lead the design, assembly, and maintenance of lab-based mockups and simulation environments. Utilize these environments to rigorously test and validate hardware mounting strategies, installation processes, and system integration before field deployment.
  • Conduct thorough reviews and redlining of civil and electrical engineering plans. Verify hardware integration feasibility, accuracy of design details, and adherence to relevant codes, standards, and regulations. Identify potential issues and propose solutions proactively.
  • Orchestrate and supervise the mechanical installation of roadside infrastructure, including poles, cabinets, cameras, and sensor packages. Ensure precise alignment, secure mounting, and functionality according to engineering specifications and project plans.
  • Systematically collect, analyze, and interpret field data and deployment feedback. Use these learnings to drive continuous improvement in design, installation procedures, and overall deployment efficiency. Actively contribute to internal design cycles and recommend optimizations.
  • Travel to deployment sites as required (estimated 15–30%) to provide hands-on technical support, oversee installation activities, troubleshoot issues, and ensure successful project execution. Represent Cavnue on-site and collaborate effectively with field teams and stakeholders.
Posted 3 days ago
Apply
Apply

🧭 Full-Time

πŸ’Έ 145000.0 - 195000.0 USD per year

πŸ” Software Development

  • 5+ years of professional experience in software engineering, platform engineering, or integration engineering.
  • Bachelors Degree in Computer Science, Engineering or equivalent experience
  • Proficiency in programming languages commonly used for both platform development and algorithm implementation, such as Python and C++
  • Experience with cloud platforms (AWS, Azure, or GCP) and core infrastructure services
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Excellent problem-solving, analytical, and troubleshooting skills
  • Strong communication and collaboration skills
  • Experience working with Git, GitHub, Jira, Confluence – or similar tools – including complex operations and workflows
  • Comfortable working in a Linux development environment
  • History of building software in highly-collaborative environments
  • Willingness and eagerness to think about how to solve problems for multiple users through common interaction patterns
  • Experience designing practical and compelling architectures and systems
  • You demonstrate curiosity and initiative to understand complex systems, with the ability to make meaningful progress independently and with minimal guidance.
  • Expert with Python and using technologies such as Postgres.
  • Drive production of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve.
  • Engineer data structures, databases, and data lakes for optimal performance and reactivity in a production environment.
  • Develop and maintain APIs, and integration patterns to support the deployment, orchestration, and operation of AI agents and multi-agent systems. This role focuses on building the "Platforms for AI" rather than using AI within the platform itself. Take the AI into production.
  • Implement comprehensive monitoring, logging, and alerting for platform health, data quality, and algorithm performance.
  • Collaborate closely with hardware engineers, software developers, and researchers on sensor selection, system architecture, calibration procedures, and resolving integration challenges.
  • Maintain clear documentation for algorithms, system designs, integration points, and operational procedures.
  • Assurance of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve
  • Establish low-latency/high throughput APIs on streaming packets of data from the cloud and edge
  • Contribute to a healthy and positive engineering culture
Posted 16 days ago
Apply
Apply

🧭 Full-Time

πŸ’Έ 145000.0 - 195000.0 USD per year

πŸ” Software Development

  • 5+ years of professional experience in software engineering, platform engineering, or integration engineering.
  • Proficiency in programming languages commonly used for both platform development and algorithm implementation, such as Python and C++
  • Experience with data analysis, visualization, and simulation tools (e.g., Python libraries like NumPy, SciPy, Pandas; potentially MATLAB)
  • Experience with cloud platforms (AWS, Azure, or GCP) and core infrastructure services
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Drive production of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve
  • Engineer data structures, databases, and data lakes for optimal performance and reactivity in a production environment.
  • Optimize algorithm implementations for computational efficiency, latency, and resource constraints, potentially targeting specific hardware or embedded systems.
  • Integrate classical algorithm modules (potentially developed in C++ or using specialized libraries) seamlessly into the broader platform architecture and services.
  • Build and manage scalable data ingestion, storage (e.g., data lakes), and processing pipelines optimized for ML training data and feature engineering
  • Implement comprehensive monitoring, logging, and alerting for platform health, data quality, and algorithm performance.
  • Collaborate closely with hardware engineers, software developers, and researchers on sensor selection, system architecture, calibration procedures, and resolving integration challenges.
  • Maintain clear documentation for algorithms, system designs, integration points, and operational procedures.
  • Assurance of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve
  • Establish low-latency/high throughput APIs on streaming packets of data from the cloud and edge
  • Contribute to a healthy and positive engineering culture
Posted 16 days ago
Apply