System Runtime Engineer

Tsavorite Scalable Intelligence, Inc.; Milpitas (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Stock options

Health insurance

Job summary

Tsavorite Scalable Intelligence, Inc. is building a new foundation for AI computing.

This role develops and optimizes the runtime environment for executing ML models, focusing on memory management, data movement, and efficient execution on targeted hardware. You will collaborate across hardware, compiler, kernel, driver, and architecture teams to translate ML workloads into runtime optimizations, ensuring portability across supported platforms and contributing to next-generation compute

Qualifications

• BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 7-15 years of work experience.

Responsibilities

• 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.

Skills

Systems programming

Hardware accelerators

Runtime environments

Performance profiling

Python scripting

Linux kernel

Education

BS in Computer Engineering

MS preferred

Job description

Tsavorite Scalable Intelligence is building a new 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

• 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).
• 7-15 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 technology. Take ownership, collaborate with great engineers, grow your skills, and make an impact in a culture that values innovation and teamwork.
• Competitive compensation aligned with industry benchmarks.
• Comprehensive health insurance covering employees and eligible dependents.
• Stock options and ownership opportunities.