
51 - 200 employees
🚘 Automotive
🏗️ Construction
📦 Logistics
💰 $130M Series A on 2022-04
Automotive • Construction • Logistics
Cavnue is focused on building the future of road infrastructure by integrating technology to leverage the benefits of connected and autonomous vehicles. Their work aims to transform modern transportation into a safer, less congested, and more sustainable experience through intelligent design of both physical and digital infrastructures. Cavnue's major project includes the development of a connected corridor in Michigan, representing a significant step forward in advancing 21st-century mobility in America and beyond.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
🚘 Automotive
🏗️ Construction
📦 Logistics
💰 $130M Series A on 2022-04
Automotive • Construction • Logistics
Cavnue is focused on building the future of road infrastructure by integrating technology to leverage the benefits of connected and autonomous vehicles. Their work aims to transform modern transportation into a safer, less congested, and more sustainable experience through intelligent design of both physical and digital infrastructures. Cavnue's major project includes the development of a connected corridor in Michigan, representing a significant step forward in advancing 21st-century mobility in America and beyond.
• Translate raw requirements into robust system designs and implementations • Own feature lifecycles from initial development through production deployment and ongoing Operations & Maintenance • Design, build, and maintain high-throughput, low-latency C++, Go, and Python services • Test, tune, and validate algorithms using historic and simulated datasets before live deployment • Design high-performance inter-application communication protocols for real-time data exchange • Optimize data structures, Protobuf serialization, and Redis Streams • Architect and manage data pipelines from sensor ingestion through transformation, storage, and delivery • Integrate tracking, inference, and sensor-fusion algorithms into production services • Develop REST APIs and service integrations • Implement observability, monitoring, logging, and alerting • Operate containerized services on Kubernetes with Argo and Helm in GCP • Document systems, runbooks, and integrations • Contribute to a high-trust engineering culture
• 5+ years of professional software engineering experience with a generalist, backend, and systems focus • Deep experience building, tuning, and operating real-time systems • Strong proficiency in C++ preferred, with production experience implementing high-performance, low-latency algorithms • Proficiency in Python for prototyping preferred • Ability to use historic and simulated data to iterate on algorithms and system logic • Strong data interface knowledge, including IPC, high-speed messaging protocols, and robust application interfaces • Expertise in algorithms, data structures, system internals, computational complexity, memory constraints, and system behavior under load • Experience with streaming data systems such as Redis Streams or Kafka • Experience with NumPy, SciPy, Pandas, GCP or comparable cloud infrastructure, Docker/Kubernetes, Terraform, and CI/CD pipelines • Comfortable working in Linux and with agentic coding tools such as Claude Code or Cursor • Strong communication skills for explaining architectural decisions to technical and non-technical stakeholders • BS in Computer Science, Engineering, or equivalent practical experience • Background checks and substance screening required as a condition of employment
• Eligible employees may participate in a benefits program • Medical, dental, and vision benefits • Life insurance and disability insurance • 401(k) with company contribution • Paid Parental leave • Fertility and infertility benefits • Industry-competitive PTO • Learning and development opportunities • Equity program eligibility • Discretionary annual incentive program eligibility
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