About Tensordyne:
Artificial intelligence (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. We also have many talented team members working remotely across North America and Europe. 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!
About the Role
We are looking for a Simulation and Modeling Engineer to work on the functional model of Tensordyne's inference accelerator. This is a hands-on engineering role for a strong software engineer with hardware knowledge: someone who writes maintainable code, is curious about how hardware works, and enjoys hard problems.
You'll work closely with our architecture, hardware and software teams to model new features and keep the model accurate.
What You'll Do
- Implement new architecture features and algorithms in the model.
- When the model and the hardware tell different stories, find out why.
- Write tests, test plans and test infrastructure for new features, and track code coverage.
- Document the model and validate it against the architecture spec and the RTL.
- Evaluate new modeling techniques and adopt the ones that help.
- Help maintain and improve the codebase.
What We're Looking For
- Strong modern C++.
- Good knowledge of RTL and ASIC methodology.
- A solid understanding of hardware architecture.
- A good command of build systems and toolchains.
- Ability to take a loosely specified feature and deliver working, tested code with minimal hand-holding.
- Clear written and verbal communication, and comfort working across teams.
- BS or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 3+ years of industry experience.
Nice to Have
- Knowledge of SystemC / TLM-2.0.
- Experience with AI/ML accelerators or GPU architectures.
- Experience with high-performance computing.
- Python for scripting and tooling.
- Debugging and analysis tools: sanitizers, profilers, tracing.
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 of global scale.
- 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.
A note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
Skills Required
- Strong modern C++ experience
- Knowledge of RTL and ASIC methodology
- Understanding of hardware architecture
- Knowledge of build systems and toolchains
- Ability to independently deliver working, tested code from loosely specified features
- Clear written and verbal communication skills
- Ability to collaborate across teams
- Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- At least 3 years of industry experience
- Knowledge of SystemC and TLM-2.0
- Experience with AI/ML accelerators or GPU architectures
- Experience with high-performance computing
- Python experience for scripting and tooling
- Experience with sanitizers, profilers, or tracing tools
What We Do
Every leap in AI has followed the same pattern: first we made models bigger, then we tailored them, and now we let them think longer. Each step (scaling law) truly adds intelligence. But in the end we land on the same runway: inference, and demand is exploding while power supply lags. We asked: what if the next step isn’t stacking another law on top, but a zeroth law beneath them all. A law that changes AI math. Because after all, AI is math, trillions of multiplies, and multiplication burns watts. Tensordyne uses logarithmic compute to turn multiplies into adds, cutting power at the root. We’ve cast our proprietary logarithmic math into custom silicon, hardware, interconnect, and system software. The result: one integrated system for multimodal GenAI inference designed for Hyperscaler and Neo Cloud data centers. What this means for our customers: With Tensordyne they can run the world’s largest multimodal models for thousands of users, with fewer racks, less power, and lower cost. We’re well-funded and fast-moving, with co-headquarters in Sunnyvale, California and Munich, Germany, and a distributed team across North America and Europe. Join us to change how the world runs Gen AI.
