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Responsible for defining qualification strategies for AI compute platforms, ensuring hardware reliability through testing, failure analysis, and collaboration across teams.

Responsible for power estimation, architectural tool development for AI workloads, and optimizing performance monitoring in micro-architecture and RTL. Collaborate with teams for design integration and silicon validation.

As a Compiler Architect, you'll design and implement a scalable MLIR-based compiler for cloud-based AI inference, focusing on optimizing large-scale AI models and architecting efficient software pipelines for deployment.

As a Principal Software Engineer, you will develop and maintain software kernels for AI hardware, collaborating on full-stack optimization and compiler infrastructure.

Own transistor-level analog design for SerDes clocking, including PLLs, DLLs, phase interpolators, clock distribution, and CDR loops. Model loop dynamics, jitter, and phase noise; develop verification environments; drive advanced-node layout; provide behavioral models; and lead silicon bring-up and bench characterization. Collaborate with datapath, DSP, digital, and firmware teams to close timing, jitter, and calibration requirements across the SerDes macro.

Design and implement efficient algorithms to optimize LLM inference on DNN accelerators. Collaborate with mathematicians, ML researchers, and engineers to apply advanced algorithmic and numerical techniques for high-impact generative AI performance improvements.

The Principal Architect will analyze ML workloads, contribute to hardware/software features for inference accelerators, and develop analytical performance models.

Own full-cycle technical recruiting for engineering roles onsite in Bangalore for a 6-12 month contract. Source, screen, and manage candidate pipelines; partner with hiring managers on role definitions and interviews; maintain ATS data hygiene (Ashby) and deliver timely candidate communication and reporting.

Contract SRE to build, operate, and automate colo, on‑prem GPU clusters, and cloud infrastructure. Own provisioning, IaC (Terraform/Ansible), observability (Prometheus/Grafana or DataDog), incident response, runbooks, and customer-facing platform reliability.

Build and lead the SRE function from scratch: hire and manage a 3–5 person team, define SLOs/SRIs and incident processes, own reliability across colo/on-prem/cloud, implement observability and IaC (Terraform/Ansible), drive shared storage migration and FinOps, serve as senior escalation for incidents, and partner with DevOps and engineering on HPC workload requirements.