Agrani Labs is building a high-performance AI accelerator designed for the next generation of intelligent computing. We’re looking for talented and driven Performance Architects, Validation Engineers, and Post-Silicon Performance Engineers to join our Performance Team.

You’ll work on analyzing, modeling, and optimizing the performance of a state-of-the-art AI accelerator across the full hardware stack.

What You'll Do

You’ll play a key role in performance analysis, validation, and modeling of a cutting-edge AI accelerator — working across compute cores, memory subsystems, fabric, and SoC architecture. You’ll help identify bottlenecks, optimize workloads, and drive performance from pre-silicon modeling through post-silicon bring-up.

What We're Looking For

• B.Tech, Master’s, or Ph.D. in Computer Science, Electrical Engineering, or related fields, with 5–15 years of industry experience
• Strong understanding of CPU, GPU, or XPU architecture fundamentals
• Hands-on expertise in performance modeling, workload characterization, low-level performance analysis, and bottleneck debugging
• Experience validating compute IPs and/or SoCs in pre-silicon or post-silicon environments
• Strong understanding of system-level performance metrics, profiling tools, and hardware/software interaction
• Experience working with AI/ML workloads, benchmarks, and performance tuning is preferred
• Familiarity with AI/ML workloads and their hardware execution characteristics

Why Agrani Labs?

• Be part of a world-class engineering team with an open and collaborative work culture
• Get a unique opportunity to work on grounds-up hardware and software development at scale
• Connect the dots across the entire system and stack, from Torch to transistors
• Work at an AI first company, and use AI innovatively to transform the way hardware and software are built
• Get practically unlimited access to top models from OpenAI, Anthropic and Gemini models and more

How to Apply

Interested in this role? Submit your application below