Tsavorite Scalable Intelligence is building a current foundation for AI computing. We design silicon, systems, and software that work as one, bringing together general-purpose processing, AI acceleration, and scalable memory in a single architecture. From edge devices to data centers, our goal is to make advanced AI more powerful, efficient, and accessible.
Our founding team has a track record of shipping the highest performance silicon and we have engineering teams in the US and India. We are looking for curious, driven people across disciplines who want to turn ambitious engineering into real products and help shape how the world computes.
Job Summary
Develop and optimize the runtime environment for executing ML models. This includes managing memory allocation, optimizing data movement, and ensuring efficient execution on targeted hardware platforms. Experience working with open-standard APIs.
Technical Skills & Expertise
• Excellent C/C++ programming skills.
• Strong background in systems programming.
• Experience with hardware accelerators.
• Prior experience in runtime environments.
• Proficiency in performance profiling and debugging tools.
• Hands-on experience with Python and shell scripting will be a plus.
• Excellent knowledge of Linux kernel internals, IPC/System V, and multithreaded software.
What You'll Drive & Bring to the Role
• Collaborate with hardware, compiler, kernel, driver, and architecture teams to deliver optimized accelerator solutions.
• Analyze real-world ML workloads and translate performance requirements into runtime optimizations.
• Ensure portability and interoperability across supported hardware platforms.
Required Qualifications
• BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field (MS preferred).
• 10–14 years of work experience.
Why Join Us?
• Own. Innovate. Make an Impact. Join a talented team building next-generation compute solutions and working on cutting-edge techno