DSP SW engineer

DSP SW engineer

Location: Ramat Hahayal, Tel Aviv

Employment Type: Full-time

Company: GSI Technology – A publicly traded, international high-tech company (NASDAQ: GSIT) developing the cutting-edge Gemini® Associative Processing Unit (APU) for computer-in-memory acceleration.

GSI is pioneering the Gemini APU—a cutting-edge, game-changing processor designed to accelerate compute-intensive tasks like large language models, machine learning, advanced image processing, and radar imaging.

If you're passionate about architecting high-performance software systems, implementing advanced algorithms, and drilling into low-level technical details, this is the role for you.

We’re seeking a dynamic and fast-learning engineer with a passion for diving deep into large language model implementations, and a keen focus on performance optimization and efficient execution.

The Role

We are looking for a DSP SW engineer to implement AI models ( CNN,LLM,VLM) with C++. This roll sits at the intersection of AI Algorithm and our cutting edge APU Architecture .

At GSI Technology, we don't just use AI chips—we build them. We are developing the Gemini® APU, a compute-in-memory processor designed to accelerate massive workloads like LLMs and VLMs.

We are looking for an architecturally-minded engineer who understands hardware constraints and can take complex AI algorithms (written in Python) and optimize them to run at lightning speed on our proprietary hardware (using C/C++).

Who You Are

• You are a Software Engineer who is curious about AI models implementation.
• You understand what happens "under the hood" when software talks to hardware (memory management, caching, latency).
• You are "Open Minded" ,you enjoy tackling unsolved problems and aren't afraid to learn a new proprietary architecture from scratch.

Key Responsibilities

• Bridge the Gap: Translate high-level AI models (LLMs, Vision Transformers) from Python reference code into highly optimized C/C++ implementations for the Gemini APU.
• System Architecture: Design and maintain the software stack and libraries that allow customers to run AI workloads on our hardware.
• Performance Tuning: Squeeze every bit of performance out of the chip. Deal with memory bandwidth, latency, and compute constraints.
• Algorithm Engineering: Adapt standard algorithms (CNNs, Transformers) to fit a unique compute-in-memory architecture.
• Collaborate: Work closely with the Hardware design team to influence the next generation of chips and with the Data Science team to understand the workloads.
• Developing software compilers tools.

Must-Have Qualifications

• B.Sc. in Computer Science or Electrical Engineering.
• 5+ years of software development experience with a strong focus on C/C++ and Python.
• Embedded/Systems Background: Experience with RT-Embedded, DSP, or low-level driver development. You understand registers, memory hierarchy, and pointers.
• Algorithmic Mindset: You can look at a mathematical formula or an algorithm and understand how to implement it efficiently in code.
• Architecture Knowledge: Understanding of how processors work (SIMD, Vector processing, Caches, Pipelines).

Advantages (We will teach you the rest!)

• Experience with CUDA, OpenCL, or Writing Kernels.
• Understanding of Deep Learning primitives (Quantization, Pruning, Matrix Multiplication).
• Experience writing compilers, assemblers, or SDKs.
• Background in Computer Vision or Signal Processing pipelines.

Why Join GSI?

You will not just be writing code; you will be defining how a new class of processor consumes software. If you love deep technical challenges and want to work on the bare metal of the AI revolution, apply now.

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