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 environments with the ability to quickly learn and then solve complex problems. Recogni is a system solution company that specializes in the design of industry-leading high-performance, low-power AI inferencing. Our mission is to enable multimodal Generative AI inference acceleration at scale by providing safe, sustainable, high-performance AI-driven solutions for many markets. We are at the leading edge of advancing the latest research and product improvements for Al inference solutions that will make Al even more advantageous for compelling new applications. Recogni is a well funded, fast-paced startup company with headquarters in both San Jose, CA, and Munich, Germany. We also have many talented team members working remotely. We prioritize our employees' well-being and their families, aiming for a healthier, happier life inside and outside work. We value their contributions and offer tailored benefits for health and financial security, catering to different life stages. Our comprehensive benefits and competitive compensation, including flexible spending and Bonusly awards, reflect our commitment to a supportive and inspiring work environment.
As a senior member of Tensordyne’s ASIC team, you will lead all phases of ASIC verification and will be responsible for the pre-silicon correctness of Tensordyne’s next-generation family of processors for generative AI inference acceleration. This ASIC’s design closely couples novel computational accelerator units with 3rd-party SoC IP blocks to deliver the high-performance multi-chip silicon solutions that are at the heart of Tensordyne’s vertically integrated, generative AI inference acceleration systems for data centers.
Your responsibilities will be wide-ranging and and run the gamut of working closely with design engineers to stay abreast of the specification and implementation of ASIC blocks, developing comprehensive test and coverage strategies, implementing the verification environment and tests using object-oriented tools, in particular SystemVerilog and UVM, handling bug tracking and coverage convergence and developing scripts and methodologies for the front-end ASIC flow.
- Ensure the pre-silicon correctness and quality of a multi-million gate ASIC that integrates computational accelerators and 3rd-party SoC IP blocks.
- SoC/Subsystem verification of embedded CPUs such as ARM/RISC-V and interconnect subsystem (including C and assembly diag validation)
- Lead verification planning from architecture through tapeout.
- Develop block-level, sub-system and full-chip verification environment and tests to implement test plans.
- Establish reusable verification methodologies and frameworks - scale testbenches to subsystem and full chip environments
- Work closely with design and architecture teams to understand the functional and performance goals of the design; and work together to make the design-under-test work under all specified circumstances.
- Triage and debug functional and performance issues with the design-under-test.
- Drive verification signoff criteria and quality metrics - handle bug tracking, coverage convergence, regression failures.
- Mentor and technically guide verification engineers helping them through test planning and verification closure.
- Perform diagnostic and post-silicon validation tests in the lab.
Required Qualifications:
- 15+ years of ASIC verification experience - having taken multiple chips through the entire cycle of verification and post silicon validation
- Expert in System Verilog, UVM, Constraint Randomization, Functional Coverage.
- Experience in C/C++ or System-C
- Deep understanding of object oriented programming principles, constrained random stimulus, and coverage driven verification approach.
- Verification experience of high-speed interfaces (PCIe, Ethernet, DDR/HBM, SerDes, etc.)
- Scripting experience (Python, Perl, TCL, shell programming) highly-desirable.
- Interest to explore AI architectures for convolution, transformer and other kinds of workloads
- Self-starter and highly-motivated to work in a dynamic start-up environment.
- B.S. (M.S. preferred) degree in Electrical or Computer engineering (or similar field).
- Ground floor opportunity with the team; be part of shaping one of the most exciting new companies.
- Learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields, from Artificial Intelligence & Computer Vision to Systems & Device Engineering.
- Competitive benefits package including Medical, Vision, Dental
- Perks including meals, snacks, drinks and us!
- Sharp, motivated co-workers in a fun office environment
- Flexible work hours & generous PTO policy
- 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.
- Embrace that there will be differences.
Recogni 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 Recogni 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
- 15+ years of ASIC verification experience
- Expert in SystemVerilog, UVM, Constraint Randomization, Functional Coverage
- Experience in C/C++ or System-C
- Deep understanding of object-oriented programming principles
- Verification experience of high-speed interfaces (PCIe, Ethernet, etc.)
- Scripting experience (Python, Perl, TCL, shell programming) highly-desirable
- B.S. (M.S. preferred) degree in Electrical or Computer engineering
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.
