Sr. Staff Hardware Design Engineer

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Join Tensordyne, a pioneering AI system solution company at the forefront of generative AI inference acceleration. We are dedicated to building high-performance, low-power systems through custom silicon, hardware, and software, enabling multimodal Generative AI inference at scale for hyperscaler and neocloud data center customers.
As a Sr. Staff Hardware Design Engineer, you will play a pivotal role in the entire lifecycle of our cutting-edge AI inference solutions, from conceptualization and architecture to design, verification, and bring-up. Your expertise will be instrumental in shaping the future of AI hardware, ensuring our products meet the demanding performance, power, and scalability requirements of our clients.
You will be responsible for the architectural definition and detailed design of complex digital logic blocks within our custom AI accelerators. This includes microarchitecture specification, RTL coding (Verilog/SystemVerilog), and ensuring the designs meet stringent performance targets and power budgets.
Collaborate closely with cross-functional teams, including AI/ML researchers, software engineers, firmware developers, and system architects, to translate high-level AI model requirements into efficient and robust hardware implementations.
Drive the verification strategy for your designs, developing comprehensive test plans, writing verification environments (e.g., UVM), and executing simulations to ensure functional correctness and adherence to specifications.
Participate actively in the synthesis, place-and-route, and timing closure processes, working with physical design teams to achieve optimal silicon results.
Take ownership of hardware bring-up and validation activities on FPGAs and ASICs, debugging issues, and working towards successful silicon qualification.
Contribute to the development of innovative hardware architectures and design methodologies that push the boundaries of AI inference performance and efficiency.
Mentor junior engineers, sharing your knowledge and experience to foster a culture of technical excellence and continuous learning within the hardware design team.
Stay abreast of the latest advancements in AI hardware, semiconductor technology, and industry trends, identifying opportunities to incorporate novel approaches into Tensordyne's product roadmap.
You will be a key contributor to defining the next generation of AI inference hardware, influencing architectural decisions and driving technical innovation.
This role offers the unique opportunity to work on state-of-the-art AI accelerators designed for the most demanding generative AI workloads, directly impacting the performance and capabilities of AI systems deployed in hyperscale data centers.
You will engage in challenging technical problems related to high-speed digital design, low-power techniques, and complex data flow management within AI accelerators.
Your work will involve deep dives into the intricacies of AI algorithms and their mapping onto hardware, requiring a strong understanding of both digital design principles and the computational needs of AI models.
You will be expected to lead design efforts for critical IP blocks, ensuring their successful integration into the larger system-on-chip (SoC) architecture.
The role demands a proactive approach to problem-solving, the ability to work independently in a remote setting, and excellent communication skills to effectively collaborate with a distributed global team.
Contribute to the overall hardware development process, including documentation, design reviews, and process improvements.
You will have the opportunity to work with advanced EDA tools for RTL design, simulation, synthesis, and static timing analysis.
This position is crucial for Tensordyne's mission to deliver category-defining AI hardware, enabling the widespread adoption of advanced generative AI applications.
We are looking for individuals who are passionate about AI, thrive in a fast-paced startup environment, and are driven to make a significant impact in the semiconductor industry.
Your contributions will directly influence the performance, efficiency, and scalability of AI inference systems that power the future of artificial intelligence.

Minimum of 8 years of experience in digital hardware design, with a significant focus on ASIC design for high-performance computing or AI/ML applications.
Proven experience in RTL design using Verilog or SystemVerilog, including microarchitecture definition and implementation.
Strong understanding of computer architecture, digital logic design, and semiconductor design flows (synthesis, place-and-route, timing closure).
Experience with verification methodologies (e.g., UVM) and simulation tools.
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.