Staff Engineer Embedded Software Verification

As a Staff Engineer Embedded Software Verification on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life.

• Own embedded software verification across the lifecycle: requirements analysis, verification planning, test design, execution, reporting, and defect analysis
• Establish and maintain efficient, reusable test frameworks for pre-silicon and post-silicon environments across all levels, including unit, integration, software testing, and validation
• Institutionalize and continuously improve verification methods, tools, and infrastructure, with a focus on automation, efficiency, testability, and overall software quality
• Verify security-relevant software, including secure communication, cryptographic services, key handling, protected storage, and robustness against manipulated inputs
• Support integration, debugging, and issue analysis on target hardware and in simulation environments
• Contribute across the embedded software lifecycle, including requirements analysis, software architecture, design, implementation, and verification, with a generalist engineering approach
• Ensure development processes and evidence are aligned with Automotive SPICE, ISO 26262, and ISO/SAE 21434

• A degree in Electronics Engineering, Computer Science, Software Engineering, or a similar field of study
• 3–5 years of professional experience in embedded software verification, with a solid understanding of the V-model
• Strong hands-on experience in test design techniques, e.g., equivalence partitioning, boundary value analysis, requirements-based testing, and structural coverage analysis
• Proficiency in embedded C and experience with compilers, debuggers, coverage tools, static analysis, and simulation environments
• Good knowledge of ARM / RISC-V, multi-core embedded systems, and low-level hardware debugging
• Practical knowledge of embedded communication protocols, secure communication, cryptography, key management, and hardware security concepts
• Strong analytical mindset and self-organization; experience applying AI in engineering workflows is a plus
• Fluent communication skills in English