Jobs at Microsoft

Designs, implements, tests, and operates Azure Data services in a highly secure, air-gapped environment. Writes maintainable code, participates in code reviews, builds test automation, supports live-site operations and on-call duties, and follows security/compliance practices including use of AI tools across the SDLC.

Provide executive-level administrative support including strategic calendar and travel management, event coordination, cross-functional communication, project ownership, budget and resource tracking, onboarding/offboarding, and space/team management. Mentor and train business support colleagues and lead discipline initiatives to enable leader and team effectiveness.

Design and build evaluation infrastructure for generative AI on large GPU clusters. Develop and tune pretraining software, benchmark NVIDIA and AMD GPU clusters, collaborate with model scientists, implement evaluation methods and inference strategies, and inform compute roadmap and architectural decisions to support Copilot and consumer AI products.

Manage datacenter operations and people to ensure service quality, SLA compliance, safety, and budget alignment. Drive service delivery, incident response, cross-functional partnerships, workforce development, and continuous improvement for critical IT and facility infrastructure.

Design and build highly scalable backend services and data pipelines for conversion tracking, attribution, reporting, and campaign optimization. Lead architecture, reliability, data quality, integrations, and consent-aware data handling. Mentor engineers, drive production readiness, testing, monitoring, and collaborate with product, data science, privacy, security, and bidding teams to deliver measurement platform capabilities.

Six-month paid internship for Omani nationals as a Customer Success Account Manager Intern. Includes one month onboarding and skilling plus five months on-the-job training. Responsibilities include customer research, promoting product adoption, coordinating cross-functional teams, acting as the voice of the customer, mentoring, and supporting digital transformation projects and technical certifications.

Lead and grow a product design team to craft AI-native, end-to-end design systems and experiences for Microsoft’s commercial business. Oversee user research, prototyping, visual design, and engineering collaboration while driving accessibility, security-conscious design, and executive storytelling to ship large-scale products.

Operate and improve large-scale HPC GPU clusters for AI model training and inference. Build observability, automation, CI/CD, and incident response tooling; lead on-call rotations, ensure security/compliance, collaborate with ML engineers, and optimize capacity and costs for production ML workloads.

Lead and grow a Physical Design Methodology & CAD team in India to define RTL-to-GDSII flows, automation, sign-off solutions, and AI-driven CAD transformations. Partner globally with architecture, design, verification, infrastructure, and EDA vendors to deliver scalable SoC/ASIC development, improve productivity, quality, and time-to-market.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

Perform system modeling of analog circuits and SerDes interface IP; coordinate post-silicon interfaces between ATE/validation and design teams; lead debug activities; contribute to analog circuit-level architecture and overall architectural direction; support post-silicon validation, waveform review, and calibration debugging.

Drive strategic growth with key distribution partners by building executive relationships, leading joint business planning, and executing go-to-market strategies. Enable distributor and reseller networks on Windows and Surface offerings, drive partner readiness and demand generation, own revenue targets and KPIs, monitor sell-in/sell-through, and align cross-functional stakeholders to optimize channel performance and inventory flow.

Lead end-to-end delivery of cloud and AI transformation programs: manage planning, risk, finances, stakeholder relationships, presales, contracting, IP reuse, and project closure. Drive consumption, mentor teams, enforce compliance, and support business growth by identifying follow-on opportunities and improving delivery repeatability.

Lead supplier transition and scale implementation programs end-to-end. Define objectives, scope, milestones, risks, and success measures; prioritize demand balancing impact, capacity, compliance and budget; develop program plans, operating rhythms, escalation and decision frameworks; partner across Procurement, Finance, Compliance and Operations; use dashboards and scorecards to monitor health; drive process improvements and scalable practices.

Lead strategic customer engagements in the ITeS vertical to drive digital and AI-led transformation. Build CxO relationships, define transformation roadmaps, coordinate Microsoft and partner teams, and execute co-sell strategies to grow cloud and AI consumption while meeting revenue and consumption targets.

Lead technical support and resiliency for strategic Azure customers in sovereign environments. Own high-severity incidents, drive proactive reliability improvements, influence Azure engineering for platform fixes, coordinate executive communications during crises, and deliver multi-quarter initiatives that improve customer health and platform resiliency.

Lead global go-to-market strategy for Security in SME&C, designing GTM plans for Corporate, SMB and Partner segments. Drive channel and partner strategy, align cross-functional stakeholders, influence product and marketing roadmaps, define KPIs, and advise senior leadership to accelerate pipeline, adoption, and revenue.

Architect and deliver high-performance, scalable GitHub Actions infrastructure. Lead cross-team technical execution, design APIs, champion security and operational excellence, mentor engineers, participate in on-call rotations, and drive the technical roadmap for CI/CD services.

Design, integrate, validate, and optimize large-scale AI networking infrastructure. Lead Layer 3/4 and RDMA-based fabric architecture, performance characterization, congestion management, packet-level debugging, telemetry, automation, and deployment for hyperscale AI training and inference clusters.

Lead sales engagements with Local Government CxOs to drive cloud and AI-led transformation. Prospect and close new business, orchestrate virtual teams and partners, meet revenue and consumption targets, maintain pipeline hygiene, and promote continuous learning and customer value delivery.