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Tensordyne

System Software/Embedded Engineer (Munich)

  • Seen live on Tensordyne's site today
  • Senior
Pay
Not stated
Location
Munich, Germany
Open for
7 days
First seen
Oct 28, 2026
Apply on Tensordyne's site (opens in a new tab)

Posting record

No flags

Open 7 days

The posting's record, oldest first
  1. Ghostless first sees this listing
  2. 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.

Last checked Nov 4, 2026.

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What it asks of you

5+ years of experience
“5+ years of experience developing low-level systems and embedded software, firmware, and tooling for high-performance computing systems deployed to data center cu” (quoted from the posting)

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

System Software / Embedded Engineer (Munich)

About Tensordyne

AI is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. While we have many talented team members working remotely across North America and Europe, this particular role is based on-site in Sunnyvale. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence! Location: This is an on-site role based in Sunnyvale, CA (required), with flexible office hours.

Responsibilities

The role will require you to join Tensordyne's Platform Software team to lead requirements gathering, design, and development of system-level services, tools, and supporting tests for Tensordyne's AI inference platform software, including debugging, profiling, and analysis capabilities. The successful candidate will support cross-functional engineering teams in the bring-up and validation of platform software on AI inference systems, and partner closely with the hardware, silicon, and validation teams to deliver robust, production-quality platform software. You will work close to the hardware on firmware and board bring-up, bootloaders and BSP development, device drivers, and Linux kernel modules, collaborating directly with the silicon and hardware teams on hardware/software co-design. The role also involves system-level performance and power optimization across the AI inference platform, working with low-level interfaces such as PCIe, I2C, SPI, and JTAG. Occasional travel (e.g., to partner, customer, or contract manufacturer sites) may be required but is not mandatory.

Required Qualifications

  • 5+ years of experience developing low-level systems and embedded software, firmware, and tooling for high-performance computing systems deployed to data center customers.
  • Hands-on experience bringing up and debugging complex Linux-based systems at the kernel and driver level, including embedded Linux, device drivers, and/or RTOS environments; experience with SoC/silicon bring-up is highly desirable. Familiarity with AI inference frameworks and data center deployment/management environments is preferred.
  • Expert programming experience in C and C++, with proficiency in Python, Bash/Shell, and/or related programming languages. Rust experience is a plus. Comfortable interfacing directly with hardware, reading schematics and datasheets, and debugging with tools such as JTAG, logic analyzers, and oscilloscopes.
  • Self-motivated, adaptable, and comfortable working across hardware, silicon, and software teams in a fast-paced startup environment.
  • Excellent technical communication skills, with the ability to clearly explain complex technical concepts and practical solutions.
  • BS or MS degree in Electrical Engineering, Computer Science, or a related technical field.

Tensordyne's culture was built on the following values

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make each person better together, than they would be as an individual.
  • Embrace each others’ differences, and embrace that there will be differences.

Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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