
Posted 2 months ago
Full Stack SW Engineer
AI Summary
Full Stack Software Engineer builds the digital backbone of Range Energy's electrification platform, developing user-facing apps and backend services to monitor fleets, vehicles, and energy use. Works with firmware and hardware teams to turn vehicle data into scalable tools.
About this role
About Range Energy
Range Energy builds powered trailers that help electrify heavy-duty trucking without requiring fleets to replace their tractors. We solve real-world problems with real hardware.
We move fast, take ownership, and hold a high bar for execution. We value people who are low ego and team-first, calm under pressure, direct and respectful communicators, willing to roll up their sleeves, and focused on solutions, not drama.
We operate with high integrity. We do what we say we’ll do, we’re transparent about risks and tradeoffs, and we build trust through consistent follow-through.
The work is hands-on. Sometimes messy. Often fast. Always meaningful.
Founded in 2021, Range is led by experienced EV operators from Tesla, Zoox, Honda, and other leading OEMs. We are backed by strong investors and focused on building hardware that fleets will actually use.
If you like building real things, solving hard problems, and working with low drama, high output teammates, you will fit here.
Role Summary
As the Full Stack SW Engineer, you will build the digital backbone of our electrification platform. You’ll develop user-facing applications and backend systems that power fleet insights, vehicle monitoring, and operational intelligence.
This role sits at the intersection of vehicles, hardware, and cloud software. You’ll work closely with firmware, systems, and hardware teams to turn real-world vehicle data into intuitive tools and scalable services..
Key Responsibilities
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Design, build, and maintain end-to-end software systems—from frontend interfaces to backend services and APIs
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Develop dashboards and tools for fleet operators to monitor vehicle performance, energy usage, and system health
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Build scalable backend services to ingest, process, and store telemetry data from connected vehicles
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Collaborate with firmware and embedded teams to integrate vehicle and hardware data into cloud platforms
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Implement data pipelines and analytics features to support decision-making and optimization
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Improve system performance, reliability, and scalability across the stack
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Contribute to system architecture decisions and technical strategy
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Write clean, maintainable, and well-tested code in a fast-paced environment
What Success Looks Like (first 6–12 months)
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Establish and manage a configuration database for tracking and servicing deployed production units.
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Build and deploy scalable infrastructure for long-term data storage and tracking from deployed systems.
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Develop end-to-end (frontend and backend) testing infrastructure for factory and commissioning data.
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Create comprehensive tooling (frontend and backend) to support field service operations and diagnostics.
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For the above projects, some of these may involve evaluating 3rd party software tools and integrating them with internal tools that you are responsible for developing
Required Qualifications
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3–7+ years of experience in full stack software development
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Strong proficiency in modern frontend frameworks (e.g., React, Vue, or similar)
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Backend experience with languages such as Python, Node.js, or Go
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Experience building and consuming RESTful APIs and working with distributed systems
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Familiarity with cloud infrastructure (AWS, GCP, or Azure)
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Experience with databases (SQL and/or NoSQL), and with time-series high-resolution, high-volume data
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Strong understanding of software engineering best practices (testing, version control, CI/CD), as well as familiarity with building and maintaining CI/CD pipelines
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Ability to work cross-functionally with hardware and embedded systems teams
Preferred / Nice-to-Haves
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Experience working with IoT systems, telemetry data, or connected devices
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Familiarity with vehicle data protocols (CAN, UDS, etc.)
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Experience building data visualization tools or analytics platforms
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Exposure to real-time data processing (Kafka, streaming systems, etc.)
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Background in fleet, logistics, automotive, or energy industries