Top Tech Jobs & Startup Jobs

Lead AI and security strategy with enterprise customers, drive Microsoft business growth and partner co-sell, influence technical teams on architecture and migration, deliver industry briefings, enable customer readiness, and act as a trusted technology advisor to achieve business outcomes and account growth.

Lead design and development of LLMs and supporting subsystems for Microsoft 365 Copilot. Drive research-to-product work, align with stakeholders, define architecture, ensure security/compliance, mentor engineers, run experiments, document findings, and represent research externally to recruit and publish.

Design, build, and operate scalable, high-throughput distributed services for security exposure management. Own features end-to-end, ensure production reliability, telemetry, and performance, collaborate across teams, and address AI-driven security challenges using large-scale data processing.

Lead design and implementation of end-to-end debug and validation solutions for at-scale datacenter hardware. Drive cross-team root-cause analysis, defect reduction projects, test strategy, automation, and large-scale test deployment while communicating progress and technical recommendations to stakeholders.

Design, build, and operate large-scale, highly available Responsible AI cloud services. Lead projects, ensure production readiness and DevOps practices, integrate with Azure AI products, and collaborate with engineers, scientists, and stakeholders to deliver scalable, observable, and secure Responsible AI features and infrastructure.

Design end-to-end cryogenic mechanical assemblies for dilution refrigerators, produce 3D CAD and production 2D drawings with GD&T, manage BOMs/PDM workflows, lead design reviews, translate thermal/vacuum/integration requirements, and drive DFM/DFX with suppliers to release producible cryomechanical hardware.

Lead architecture and development of SoC validation firmware, debug infrastructure, and IP-level firmware libraries. Drive silicon bring-up, boot flow and memory training, root-cause complex HW/FW issues across RTL and firmware, and technically lead a small engineering team to deliver server-class SoC features into validation and manufacturing.

Drive end-to-end inference performance for OpenAI and other LLMs: benchmark and profile on NVIDIA/AMD GPUs and Microsoft silicon, implement and optimize performance-critical software, build tooling for deployment velocity and monitoring, and collaborate across hardware and software teams to reduce compute footprint and accelerate model deployment.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.

Design and develop large-scale distributed backend services with a strong emphasis on security, reliability, testability, and observability. Drive modern engineering practices, perform system and code reviews, improve test coverage and CI/CD, troubleshoot live-site issues, and collaborate with product and engineering teams to deliver data-driven customer solutions.