Automotive Cloud & Diagnostics Software Engineer
Location: United States
Department: Firmware Development
Workplace: remote
Employment Type: contract
Description
At Salvo Software, we’re driving the future of automotive technology by building innovative cloud and diagnostic solutions that power safer, smarter, and more connected vehicles. Our team is passionate about solving complex challenges at the intersection of embedded systems and cloud services, and we pride ourselves on fostering a collaborative, hands-on environment where every engineer has a direct impact. If you’re excited about blending cutting-edge cloud development with the intricacies of vehicle systems, this is the place for you.
We’re looking for a hands-on engineer who is as comfortable reading ECU binary data and CAN logs as they are writing cloud-based C# services. In this role, you’ll develop cloud features that interact with vehicle control modules, process firmware binaries, perform checksum validation, and help support field engineers by troubleshooting complex diagnostic issues.
- Develop and maintain cloud services/APIs in C# / .NET to integrate with our scan tools.
- Handle support engineering tickets, working closely with field engineers and customers.
- Analyze CAN logs and use sniffer tools such as Vehicle Spy to diagnose communication issues.
- Work with pcm binaries, including parsing and checksum calculations.
- Understand and troubleshoot UDS, J1939, and OEM-specific protocols.
- Collaborate with embedded developers — review C code and assist with firmware-related problem solving.
- Implement secure and efficient cloud-to-device data transfer solutions.
Requirements
- C# / .NET cloud application development experience.
- Ability to read and understand C code for debugging and collaboration.
- Strong understanding of CAN bus communication and related protocols (UDS, J1939).
- Experience analyzing CAN traffic with tools like Vehicle Spy, PCAN, or similar.
- Knowledge of ECU/TCU firmware formats and checksum algorithms.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Strong problem-solving and analytical skills.
- Automotive reverse engineering experience.
- Familiarity with Python and Java or scripting for automation.
- Security best practices for embedded and cloud systems.
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