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Innatera

Senior NPU SDK Software Engineer

  • Seen live on Innatera's site 2 days ago
  • Senior
  • Remote
Pay
Not stated
Location
Rijswijk Office
Open for
12+ days
First seen
Oct 23, 2026
Apply on Innatera's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Innatera's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Innatera, so its true age is longer.

Last checked Nov 2, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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 NPU SDK Software Engineer to join our SDK team. In this role, you will be responsible for the Python programming API of our chip, PyTorch customization, and the compiler for end-to-end applications.

We will trust you with

  • To take care of the full life-cycle of our SDK features in one of the components, including the simulator and compiler, or the API and the infrastructure of our SDK;
  • Set and uphold high standards for code quality, maintainability, testing, and release readiness;
  • Conduct code reviews and improve engineering practices and ensure robust documentation within the expertise domain;
  • Work closely with other team (Digital Design, Firmware, Applications), translate complex algorithm or hardware specifications into efficient, user friendly, and testable software behaviour, and provide technical feedback;
  • Provide support to internal teams and customers to enable them to develop applications quickly using our SDK or help solve any issues;
  • Contribute to improving power consumption performance, latency, and any performance bottlenecks for our efficient edge-AI solution;
  • Keep innovating, bring latest trend of the technology and best practice to keep our product competitive in the market.

What will you need to succeed

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field;
  • Strong Python development skills;
  • Extensive experience with PyTorch and its customization, including knowledge of internal mechanics;
  • Proven track record of designing modular, maintainable and testable software architecture;
  • Experience in low-power resource-constrained embedded programming;
  • Familiarity with hardware/software co-design concepts;
  • Highly flexible, with a readiness to step outside your immediate domain to drive team success;
  • A strong growth mindset with an active drive to master new tools and technologies;
  • Great communication skills.

Nice to have

  • Modern C++ development skills (including C++17/20) would be a big plus, or a willingness to expand the knowledge;
  • Exposure to bare-metal firmware development;
  • Solid understanding of computer architecture, particularly ARM or RISC-V-based systems, and basic digital design knowledge is a big plus;
  • Familiarity with ML compilers like MLIR, IREE or PyTorch compiler (Dynamo);
  • Familiarity with the runtime of TinyML or EdgeAI runtimes (TensorFlow Lite Micro, execuTorch);
  • Knowledge of 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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