8 beste vacatures voor de functie van machine learning in 3028 rotterdam delfshaven (nieuwe medewerkers gezocht)

Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Rijswijk
- Fulltime
- Hybride werken
- Informatica
- Master
- C++
Snel solliciteren
Lead Engineer
Zeppelin Power Systems Netherlands B.V. —Papendrecht
- € 3.500 - € 5.000 per maand
- Online sollicitatie
- Hybride werken
- AutoCAD
- Mechanische ervaring
- Microsoft Office
- Reiskostenvergoeding
- Zorgverzekering
Snel solliciteren
Mechanisch Engineer
WPS —De Lier
- Microsoft Office
- Communicatieve vaardigheden
Senior .NET Developer (AI first)
Scan Sys —Nootdorp
- Hybride werken
- Azure
- DevOps
- AI
- Reiskostenvergoeding
- Flexibele werkuren
Snel solliciteren
Data Engineer
Good Company —Den Haag
- Online sollicitatie
- Informatica
- Analytisch vermogen
- Communicatieve vaardigheden
AI Data Architect
Xuntos —Den Haag
- E-mail
- Azure
- Machinaal leren
- AI
Senior AI Architect - Telecommunicatie
CGI —Rotterdam
- Hybride werken
- Informatica
- Azure
- Informatica
- Flexibele werkuren
Snel solliciteren
Graduation Internship | Damage localization of a vessel using iFEM and deep learning
TNO —Delft
- € 615 per maand
- Fulltime
- Civiele techniek
- Microsoft Excel
- Master
- Reiskostenvergoeding
5 uur

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Senior SDK Hardware Simulator Engineer

Innatera Nanosystems
Rijswijk

Snel solliciteren

Vacaturegegevens

Fulltime

Kwalificaties

Informatica
Master
C++
Bachelor
Usability
Computervaardigheden
ARM
Elektrotechniek
AI
Communicatieve vaardigheden
Python
Software architectuur

Volledige vacaturetekst

About Us:

Innatera 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.

To 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.

We will trust you with:

Design 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;
Convert technical hardware specs into high-performance, verifiable software models;
Contribute to performance modeling: simulate power consumption, latency to identify performance bottlenecks;
Support early application development with accurate and configurable hardware simulation tools;
Work closely with cross-functional teams (Digital Design, Firmware, SDK) to ensure models reflect the real hardware faithfully;
Take ownership of simulation infrastructure quality: write unit tests, review code, and continuously improve design and maintainability;
Collaborate on expanding our SDK feature set, ensuring the usability of the simulation for external developers.
Participate in team brainstorming and contribute to other SDK development tasks as needed.

What will you need to succeed:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field;
Strong C++ development skills (including C++17/20);
Proven track record of designing modular, maintainable, and testable software architecture;
Experience in transaction-level modeling of hardware components;
Solid understanding of digital hardware fundamentals (e.g., CPU, instruction sets, memory systems, DMA);
Familiarity with hardware/software co-design concepts;
Working knowledge of Python (e.g., for scripting, automation, or SDK integration);
Great communication skills.

Nice to have:

Experience working with RTL simulations, waveforms, and understanding how hardware behaves at the signal level;
Experience in low-power resource-constrained embedded programming;
Exposure to bare-metal firmware development, including assembly language;
Familiarity with RISC-V or ARM computer architectures;
Knowledge of machine learning, edge AI, and SNN (Spiking Neural Networks).

Whether 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!

If you're ready to shape the future of technology with us, click Apply and share your story.

Innatera 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. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

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machine learning vacatures in 3028 rotterdam delfshaven

Senior SDK Hardware Simulator Engineer

Lead Engineer

Mechanisch Engineer

Senior .NET Developer (AI first)

Data Engineer

AI Data Architect

Senior AI Architect - Telecommunicatie

Graduation Internship | Damage localization of a vessel using iFEM and deep learning

Discover related jobs

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in 3028 rotterdam delfshaven

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