Brahma Consulting Group
Machine Learning Engineer
Brahma Consulting Group, San Francisco, California, United States, 94199
Overview
Brahma is a specialty recruitment firm representing an innovative start-up developing solutions to accelerate chip design. We’re looking for an ML engineer to push the frontier of AI in semiconductors. This is not a standard ML role; you’ll be building and shipping state-of-the-art models, reinforcement learning systems, and multi-agent architectures that directly operate on real-world RTL, chip architecture, and physical design workflows. You’ll be one of the first engineers, shaping the technical foundation of a company tackling to solve one of the missing pieces in the AI ecosystem. Location: San Francisco Bay Area. What You’ll Do
Train, fine-tune, and evaluate cutting-edge models for RTL, architecture, and PD tasks. Design and deploy multi-agent systems for RTL code generation, design verification, and PD automation—leveraging MCP servers, toolchains, and real chip workflows. Own the entire ML lifecycle from raw data pipelines to live deployment inside our production IDE. Collaborate cross-functionally with hardware engineers, product, and design to build AI-first chip design workflows. Experiment at the frontier with LLMs, diffusion models, RL (especially test-time scaling), and graph-based approaches for EDA. What We’re Looking For
Deep expertise in reinforcement learning, multi-agent systems, or large-scale model training—with a track record of shipping systems, not just papers. Strong engineering skills in Python + ML frameworks (PyTorch, JAX, TensorFlow) and distributed training/inference. Ability to move fast, prototype, and scale research into production. Obsession with pushing state-of-the-art performance in real-world constraints. Seniority level
Associate Employment type
Full-time Job function
Technology Information and Media Semiconductor Manufacturing
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Brahma is a specialty recruitment firm representing an innovative start-up developing solutions to accelerate chip design. We’re looking for an ML engineer to push the frontier of AI in semiconductors. This is not a standard ML role; you’ll be building and shipping state-of-the-art models, reinforcement learning systems, and multi-agent architectures that directly operate on real-world RTL, chip architecture, and physical design workflows. You’ll be one of the first engineers, shaping the technical foundation of a company tackling to solve one of the missing pieces in the AI ecosystem. Location: San Francisco Bay Area. What You’ll Do
Train, fine-tune, and evaluate cutting-edge models for RTL, architecture, and PD tasks. Design and deploy multi-agent systems for RTL code generation, design verification, and PD automation—leveraging MCP servers, toolchains, and real chip workflows. Own the entire ML lifecycle from raw data pipelines to live deployment inside our production IDE. Collaborate cross-functionally with hardware engineers, product, and design to build AI-first chip design workflows. Experiment at the frontier with LLMs, diffusion models, RL (especially test-time scaling), and graph-based approaches for EDA. What We’re Looking For
Deep expertise in reinforcement learning, multi-agent systems, or large-scale model training—with a track record of shipping systems, not just papers. Strong engineering skills in Python + ML frameworks (PyTorch, JAX, TensorFlow) and distributed training/inference. Ability to move fast, prototype, and scale research into production. Obsession with pushing state-of-the-art performance in real-world constraints. Seniority level
Associate Employment type
Full-time Job function
Technology Information and Media Semiconductor Manufacturing
#J-18808-Ljbffr