Hiring AI / ML SW, FW and Si Design, DV Engineers (Bangalore, Bay Area CA)

About Tsavorite Scalable Intelligence Inc.

Tsavorite Scalable Intelligence is developing the semiconductor industry’s first Omni Processing Unit™ (OPU) —a unified platform that brings together CPU, GPU, Memory and Connectivity in a single device, engineered for the next wave of Agentic AI workloads.

Our goal is to redefine how AI infrastructure meets performance, efficiency, and scale—whether at the Datacenter, Cloud or Edge.

Founded in 2023, Tsavorite is powered by 100+ seasoned engineers and leaders who have built transformative products and companies.

We are moving rapidly from vision to reality, with over $100 million in customer pre-orders , engagements spanning the Americas, Europe and Asia, and working prototypes delivered to customers and developers.

We deliver a full-stack solution : from Compilers, ML libraries and Runtime software to a Hardware platform designed to let you run any AI model or workflow—without platform-specific porting constraints.

Join Our Growing Team!

We’re building a world-class team focused on AI silicon and software innovation. Positions are open in the US and in Bangalore (India) .

If you’re ready to help shape the future of AI compute, attach your resume and a brief introduction to and take the first step toward an exciting career with us.

Note : A minimum of 5 years+ of industry work experience is required to be considered for the below positions.

ML SW Engineer Positions (multiple positions available in the below areas)

• ML Backend Compiler Engineers with MLIR, LLVM experience
• ML with PyTorch & ONNX ML Framework Experience
• ML engineers with expertise in LLMs, CNN, RNN Inference, and Training
• ML Runtime Engineers with Level Zero and Scheduler experience
• Performance Engineer with in-depth understanding of ML Model Architecture & Computational requirements. Experience with performance analysis tools and methodologies.
• ML Engineer – Multimodal AI and Inference : Strong background in deep learning and model deployment with hands-on experience in PyTroch or TensorFlow. Expertise in Model optimization with quantization, pruning, distillation or mixed-precision inference. Practical knowledge of inference engines (vLLM, llama.cpp, ONNX Runtime). Experience in deploying large models locally or on edge devices with limited memory / compute constraints.
• AI Applications Engineer with full-stack web application development experience, including proficiency in Front-end frameworks (React, Netx.js,Svelte) and Backend experience with Python(FastAPI / Flask),Node.js, Rust. Experience with interfacing with AI / ML backend via REST or gRPC APIs. Experience building apps that integrate LLMs, text-to-image, or speech models. Familiarity with multimodal data handling - audio / video streaming, file parsing, camera / mic APIs
• DevOps / Edge AI Engineer strong background in Linux systems engineering and containerization (Docker, Podman, LXC). Experience in deploying AI Inference Services locally or at the edge (llama.cpp, ollama, vLLM, ONNX). Experience with embedded systems or edge AI devices (e.g., Jetson, Coral). Solid understanding of Networking, Security, and firewall configurations for local appliances.

System SW and FW Engineers (multiple positions available)

RTL Design Engineers

Design Verification Engineers (Multiple positions available under each domain)

FPGA Prototyping (Platform) Lead

Preferred Experience : Expertise in configuring and bringing up HardIP / embedded ARM Cores.