{"id":155377,"url":"https://alion.io/job/innatera-senior-sdk-hardware-simulator-engineer","title":"Senior SDK Hardware Simulator Engineer","company":{"id":54517,"name":"Innatera","domain":"innatera.com","url":"https://alion.io/company/innatera","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Hardware","role_family":"Hardware","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rijswijk, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":119000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"Assembly","optional":true},{"name":"Edge AI","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-18T12:35:57Z","employer_posted_date":"2026-06-18","last_verified_at":"2026-10-17T20:19:14Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":120},"description":"About Us:\nInnatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains.\nTo support our rapid development roadmap, we’re looking for a Senior SDK Hardware Simulation Engineer to help drive the development of our simulation environment by enabling early application development and system validation before hardware is available. As a key member of our SDK team, you’ll be responsible for designing and building accurate, high-performance C++ hardware simulators that accurately reflect our neuromorphic architecture. This role is critical to how our software and hardware teams collaborate to test, validate, and iterate on next-gen chip designs.\nWe will trust you with:\nDesign and implement simulation models in modern C++ (C++17/20) to replicate the functions of neuromorphic processors, CPUs, memory systems, and other components in the full SoC;\n\nConvert technical hardware specs into high-performance, verifiable software models;\n\nContribute to performance modeling: simulate power consumption, latency to identify performance bottlenecks;\n\nSupport early application development with accurate and configurable hardware simulation tools;\n\nWork closely with cross-functional teams (Digital Design, Firmware, SDK) to ensure models reflect the real hardware faithfully;\n\nTake ownership of simulation infrastructure quality: write unit tests, review code, and continuously improve design and maintainability;\n\nCollaborate on expanding our SDK feature set, ensuring the usability of the simulation for external developers.\n\nParticipate in team brainstorming and contribute to other SDK development tasks as needed.\n\nWhat will you need to succeed:\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field;\n\nStrong C++ development skills (including C++17/20);\n\nProven track record of designing modular, maintainable, and testable software architecture;\n\nExperience in transaction-level modeling of hardware components;\n\nSolid understanding of digital hardware fundamentals (e.g., CPU, instruction sets, memory systems, DMA);\n\nFamiliarity with hardware/software co-design concepts;\n\nWorking knowledge of Python (e.g., for scripting, automation, or SDK integration);\n\nGreat communication skills.\n\n Nice to have:\nExperience working with RTL simulations, waveforms, and understanding how hardware behaves at the signal level;\n\nExperience in low-power resource-constrained embedded programming;\n\nExposure to bare-metal firmware development, including assembly language;\n\nFamiliarity with RISC-V or ARM computer architectures;\n\nKnowledge of machine learning, edge AI, and SNN (Spiking Neural Networks).\n\nWhether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you!\nIf you're ready to shape the future of technology with us, click Apply and share your story.\nInnatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. 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