Software Engineer I � Compiler & Runtime

Tetramem•San Jose, CA

About The Position

Develop, maintain, and optimize software components within TetraMem’s compiler, runtime, and SDK toolchain for analog compute-in-memory (CIM) hardware. Work closely with senior engineers to translate machine learning models into efficient executable workloads for TetraMem’s AI accelerator architecture. Implement software features, debugging tools, and low-level optimizations to improve inference latency, throughput, memory utilization, and power efficiency. Support the integration of machine learning frameworks, model conversion pipelines, and deployment workflows for customer applications. Collaborate with compiler, machine learning, hardware, and validation teams to resolve software issues and improve overall system performance. Assist in benchmarking, profiling, and analyzing AI workloads to identify performance bottlenecks and recommend optimization opportunities. Support hardware bring-up, software validation, and demonstration of AI applications on TetraMem compute-in-memory platforms. Write clean, maintainable, and well-documented production-quality code while following software engineering best practices. Participate in design reviews, code reviews, testing, and continuous improvement of the compiler and runtime software stack. Stay current with advances in compiler technologies, AI frameworks, machine learning deployment, and computer architecture to continuously improve TetraMem’s software platform.

Requirements

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Experience developing embedded software for microcontroller-based or embedded computing platforms.
Strong programming skills in C/C++ for embedded systems and/or Python for machine learning application development.
Solid understanding of software engineering principles, data structures, algorithms, and debugging techniques.
Strong analytical and problem-solving skills with the ability to learn new technologies quickly.
Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional startup environment.
Self-motivated with the ability to work independently while contributing to team objectives.

Nice To Haves

Experience training, optimizing, quantizing, or deploying machine learning models on resource-constrained or edge AI hardware platforms.
Experience developing compiler technologies, code generation, or machine learning model compilation.
Experience with CI/CD pipelines, automated testing, and software release processes.
Programming experience in Rust.
Experience developing firmware for RTOS-based embedded systems, including integration with platforms such as Zephyr or FreeRTOS.
Hands-on experience with edge AI platforms, embedded AI accelerators, or custom AI hardware.
Experience using software profiling, debugging, and performance analysis tools to optimize low-level systems.
Familiarity with Linux development environments, Git version control, and modern software development workflows.

Responsibilities

Develop, maintain, and optimize software components within TetraMem’s compiler, runtime, and SDK toolchain for analog compute-in-memory (CIM) hardware.
Translate machine learning models into efficient executable workloads for TetraMem’s AI accelerator architecture.
Implement software features, debugging tools, and low-level optimizations to improve inference latency, throughput, memory utilization, and power efficiency.
Support the integration of machine learning frameworks, model conversion pipelines, and deployment workflows for customer applications.
Collaborate with compiler, machine learning, hardware, and validation teams to resolve software issues and improve overall system performance.
Assist in benchmarking, profiling, and analyzing AI workloads to identify performance bottlenecks and recommend optimization opportunities.
Support hardware bring-up, software validation, and demonstration of AI applications on TetraMem compute-in-memory platforms.
Write clean, maintainable, and well-documented production-quality code while following software engineering best practices.
Participate in design reviews, code reviews, testing, and continuous improvement of the compiler and runtime software stack.
Stay current with advances in compiler technologies, AI frameworks, machine learning deployment, and computer architecture to continuously improve TetraMem’s software platform.