Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- Embedded Software Developer in Ford's product development team for next-gen connected vehicles. Collaborating on software architecture and engineering initiatives supporting vehicle platforms.
Responsibilities
- Contribute to software architecture enablement and advanced engineering initiatives supporting connected vehicle platforms
- Work closely with cross-functional teams to design, develop, and improve embedded, testing, middleware, platform engineering, and AI Ops solutions
- Strengthen the way software is built, reviewed, validated, and delivered
- Conduct architecture, design, code, and FMEA reviews as a representative of the architecture team; produce specific, actionable findings
- Identify gaps in requirements, interfaces, or integration assumptions early; surface them clearly to architects and stakeholders
- Contribute to CI/CD pipelines, static analysis configuration, and quality tooling that teams rely on daily
Requirements
- Bachelor's Degree in Computer Science, Computer Engineering or a related discipline
- 3-5 years of hands-on experience C++ development for high-level OS environments (Linux or QNX) and C development for MCU or bare-metal systems
- 3-5 years of experience with embedded systems
- Practical AUTOSAR experience (Classic AUTOSAR, Adaptive AUTOSAR, or both)
- Experience building and maintaining CI/CD scripts, pipelines, and development flows
- Demonstrated contribution to a team engineering ecosystem: internal tooling, shared scripts, AI-assisted workflows, or developer productivity improvements
- Experience with embedded networking, modem-related software, or MCU-based systems (even better)
- Hands-on programming in C++ and Python; familiarity with one or more of AUTOSAR C, Rust, or Node.js (even better)
- Expert-level contributions to optimizations, memory management, and reliability improvements in a major product embedded codebase (even better)
- Familiarity with AI Ops or AI-enabled engineering: pipeline automation, observability, operational analysis, agent-based tooling, or retrieval-based solutions (even better)
- Experience leading or contributing to design reviews, code reviews, and software quality improvement activities (even better)
- Understanding of software development processes such as ASPICE, FMEA, static analysis, and the V-model (even better)
- Familiarity with automotive cybersecurity and safety concepts such as ISO 21434, UNECE regulations, or ISO 26262 is an asset (even better)
Benefits
- Annual Compensation bonus program
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