Automotive Cloud & Diagnostics Software Engineer

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August 16

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Salvo Software

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B2B • SaaS • Enterprise

Salvo Software is a global software development company headquartered in Vancouver, WA, with near-shoring capabilities that offer a blend of international pricing and U. S. standards. The company specializes in custom software solutions, providing services such as software product development, AI-enabled applications, blockchain development, IoT, speech recognition, web application development, and business automation. Salvo Software is dedicated to helping enterprises and startups develop strategic products through agile development processes and adaptable, affordable services. Their expertise includes UI/UX design, QA and testing, embedded firmware development, and cloud application development, supporting various industries with tailored solutions like e-commerce platforms, CRM systems, and educational resource platforms.

11 - 50 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

📋 Description

• Hands-on engineer comfortable reading ECU binary data and CAN logs while writing cloud-based C# services. • Develop cloud features that interact with vehicle control modules. • Process firmware binaries and perform checksum validation. • Support field engineers by troubleshooting complex diagnostic issues.

🎯 Requirements

• 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. • 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.