Custom software for automotive diagnostics and ERP systems
Salvo Software is a 35-person custom development shop building diagnostic and automation tools for automotive and enterprise clients. The tech stack reveals two distinct workstreams: embedded automotive (Java, Kotlin, C, ARM Cortex-M, FreeRTOS, JTAG) and AI/ML infrastructure (PyTorch, TensorFlow, Hugging Face, LLaMA, vLLM). Project backlog centers on cloud-connected vehicle scan tools, ODX/OTX runtime engines, and production-line automation—pain points around data pipeline accuracy and scan tool reliability suggest they're solving mission-critical problems in automotive diagnostics.
Salvo Software designs custom-built enterprise solutions with specialization in ERP systems, business automation, and emerging automotive diagnostic tools. Headquartered in Vancouver, WA and founded in 2017, the company operates a near-shoring model with engineering capacity in Mexico, India, and the US. The 35-person team is weighted toward mid and senior engineers (19 total), supporting a mixed portfolio of digital transformation projects for enterprises and startups. Active hiring (5 roles posted in the last 30 days) is decelerating, with focus on engineering and support functions.
Salvo uses Java, Kotlin, C, and Python for core development; ARM Cortex-M, FreeRTOS, and Embedded Linux for automotive embedded work; and PyTorch, TensorFlow, Hugging Face, and LLaMA for AI/ML tooling. Google Workspace and HubSpot handle operations.
Projects include cloud-connected automotive diagnostic scan tools, ODX/OTX runtime engine development, production-line automation, and modular software frameworks for automotive diagnostics. Recent focus includes devops infrastructure, data pipeline accuracy, and scan tool reliability improvements.
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