Staff Partner Engineer, Azure

🏢 Summary: Lead and grow a Forward Deployed Engineering team delivering production-quality AI integrations, reference architectures, and proofs of concept for an AI cloud platform. The role combines people leadership, technical architecture oversight, partner engagement, and hands-on prototyping across agentic AI, inference, infrastructure, and data systems. 🗂️ Requirements: 8+ years of hands-on AI application, ML systems, or AI infrastructure engineering experience, 2+ years of engineering team leadership or management experience, Deep practical knowledge of LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines, Hands-on experience with agentic frameworks, Strong Python programming and end-to-end AI prototyping skills, Experience defining reference architectures and technical patterns, Experience building API and developer-platform integrations, Ability to work with external partner engineering teams and internal product and engineering teams, Strong technical communication skills, Authorization to work in the country of application 📃 Skills: Python, LangChain, LangGraph, CrewAI, AutoGen, LLM, RAG, FastAPI, Flask, Docker, Kubernetes, Git, AWS, GCP, Azure, vLLM, SGLang, TensorRT-LLM, Transformers, Qdrant, Weaviate, Milvus, pgvector, CUDA, TensorRT, NeMo 🏢 Description: The Role Nebius builds infrastructure for demanding AI workloads, including GPU clusters, inference runtimes, agent development environments, and data pipelines. As Manager of Forward Deployed Engineering, you will lead Forward Deployed Engineers working at the intersection of solution architecture and hands-on engineering. You will set the technical bar, develop your team’s craft, and ensure integrations, reference architectures, and proofs of concept are production-quality and strategically sound. You will remain technically engaged by reviewing architectures, unblocking complex scoping problems, and occasionally prototyping. Remote work is available within the United States. Responsibilities People & Team Leadership • Hire, develop, and retain Forward Deployed Engineers across agentic, inference, infrastructure, and data focus areas. • Set expectations for technical quality and partner engagement; coach engineers toward those standards. • Run structured 1:1s, provide direct, actionable feedback, and own each team member’s growth. • Build a culture where moving quickly and building well are aligned. • Partner with Recruiting to define requirements for FDE roles and source candidates from the AI builder community. Technical Oversight & Architecture • Review and elevate integration architectures, proofs of concept, reference patterns, and partner scoping assessments. • Act as a technical escalation point for complex partner engagements and contribute hands-on when needed. • Maintain a high bar for the reference architecture library, emphasizing patterns that should be emulated. • Stay current with the AI tooling ecosystem to guide the team’s technical judgment. Ecosystem Presence • Represent the organization at hackathons, open-source communities, and technical events. • Build public demos, reference architectures, and integrations. • Track new developments in the AI tooling ecosystem and assess their impact on the platform stack. Platform Focus Areas Depending on background and mutual fit, focus on one or more areas: • Agentic: agent frameworks, memory systems, tool integration, orchestration, MCP, and guardrails. • Managed Inference: inference runtimes, model serving, optimization tooling, speculative decoding, and KV-cache routing. • IaaS / Managed Infrastructure: cloud-native integrations, GPU orchestration, and enterprise platform connectors. • Data: vector databases, retrieval systems, RAG architectures, data-pipeline integrations, and synthetic-data tooling. Partner & Internal Stakeholder Engagement • Engage with senior partner engineering leaders and founding CTOs on strategic matters. • Translate field insights into actionable product requirements for platform teams. • Represent the FDE function in platform planning discussions as the technical voice of ecosystem integration. • Work with ISV, SI, and field teams to scale solution adoption and drive revenue after integrations are ready. Required Qualifications • 8+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure. • 2+ years managing or leading engineers, with a record of developing technical talent. • Deep working knowledge of LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines gained through shipping products. • Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent. • Strong Python skills and the ability to prototype end-to-end AI systems quickly. • Experience defining reference architectures and technical patterns. • Ability to rapidly move from idea to working prototype and deliver meaningful work under time pressure. • Experience building integrations across APIs and developer platforms. • Ability to work simultaneously with external partner engineering teams and internal Product and Engineering teams. • Strong technical communication skills for explaining architecture decisions and integration findings to technical and non-technical stakeholders. Preferred Qualifications • Experience with vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, and KV-cache routing. • Familiarity with CUDA, TensorRT, NeMo, or equivalent NVIDIA software. • Experience with multimodal AI models for vision-language, speech, or structured data. • Recent placement or win at a major AI hackathon. • Experience as a developer advocate, solutions engineer, or technical partner manager at an AI platform or developer-tooling company. • Early engineering experience at a YC-backed AI startup. • Open-source projects or public demos with meaningful community adoption. • Proficiency with Docker, Kubernetes, and Git. Preferred Technical Stack • Languages: Python. • ML frameworks: vLLM, SGLang, TensorRT-LLM, Transformers, and OpenAI / Anthropic SDKs. • Agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent. • Vector databases: Qdrant, Weaviate, Milvus, and pgvector. • API and web frameworks: FastAPI and Flask. • DevOps: Kubernetes, Docker, and Git. • Cloud platforms: AWS, GCP, and Azure. Key Employee Benefits • 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) plan with up to 4% company match and immediate vesting. • 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers. • Remote-work reimbursement of up to $85 per month for mobile and internet. • Company-paid short-term disability, long-term disability, and life insurance. Compensation Actual compensation is based on job-related factors, including experience, skills, qualifications, hiring level, and geographic location, consistent with applicable law. Starting base compensation range: $225,800–$281,000 USD. Benefits & Perks • Competitive compensation. • Career growth and learning opportunities. • Flexibility and ownership. • Collaborative and innovative culture. • Opportunity to work on impactful AI projects. • International environment and talented teams. Work Environment Fast moving; bold thinking; constant growth; meaningful impact; trust and real ownership; opportunity to shape the future of AI. Equal Opportunity and Work Authorization Equal employment opportunities are provided without discrimination based on protected characteristics under applicable law. Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility as a condition of hire. Accommodations during the application process are available upon request.

🏢 Summary: Lead and scale a Forward Deployed Engineering organization that helps AI companies deploy and succeed on a cloud AI platform. The role combines engineering leadership, AI platform architecture, ecosystem partnerships, and product strategy, with responsibility for converting partner insights into reusable platform improvements. 🗂️ Requirements: 12–18+ years in engineering, solutions architecture, customer engineering, field engineering, or Forward Deployed Engineering, 3–7+ years leading technical field organizations, Experience building or significantly scaling a technical field organization, Track record hiring, coaching, and scaling Customer Engineering, FDE, Solutions Architecture, or Field CTO teams, Hands-on engineering background in cloud, infrastructure, AI, or developer platforms, Ability to review architectures across AI applications, inference, infrastructure, and data platforms, Experience turning customer and partner feedback into shipped platform improvements, Executive-level technical advisory experience with founders, CTOs, and enterprise leaders, Experience working across cloud providers, AI platforms, ISVs, open-source communities, and technology partners, Authorization to work in the country of application 📃 Skills: AI, Cloud, Infrastructure, Inference, Data, Architecture, ISVs, Open-source 🏢 Description: The role Nebius builds infrastructure for demanding AI workloads, including GPU clusters, inference runtimes, agent development environments, and data pipelines. The Forward Deployed Engineering function ensures AI companies are successful on the platform. As Director of Forward Deployed Engineering, you will build and scale the organization responsible for partner success. You will recruit Forward Deployed Engineers, establish the operating model, maintain technical excellence, and turn partner engagements into product improvements and reusable platform assets. This role sits at the intersection of engineering leadership, AI platform architecture, ecosystem partnerships, and product strategy. Your responsibilities will include Organization Building & Talent • Build, hire, and develop a world-class Forward Deployed Engineering organization across AI applications, inference, infrastructure, and data. • Define the talent bar, team structure, career paths, and leadership expectations for the function. • Coach engineers and managers toward greater independence while maintaining a consistently high technical standard. • Build an organization and leadership system that scales without depending on individual heroics. Operating Model & Technical Excellence • Establish scalable operating models for partner engagement, technical scoping, architecture reviews, escalation, and delivery health. • Set the technical bar for integrations, proofs of concept, reference architectures, and partner assessments produced by the team. • Review architectures across AI applications, managed inference, cloud infrastructure, and data platforms, bringing in deeper experts where needed. • Balance speed with engineering quality and ensure the team builds production-quality work rather than disposable demonstrations. Executive & Ecosystem Leadership • Engage credibly with founders, CTOs, senior engineering leaders, and enterprise technical executives as the senior FDE leader. • Build trusted relationships across AI platforms, cloud providers, ISVs, open source communities, and strategic technology partners. • Represent Forward Deployed Engineering in platform planning, ecosystem strategy, and executive investment decisions. • Create a strong external technical presence through workshops, reference architectures, open source work, events, and developer advocacy. Field-to-Product & Reusable Leverage • Treat partner engagements as a continuous product discovery engine and convert field learning into roadmap priorities and shipped platform improvements. • Ensure every engagement creates reusable value through platform capabilities, reference architectures, tooling, benchmarks, documentation, or automation. • Prevent the function from becoming one-off consulting work by setting clear boundaries and rewarding reusable outcomes. • Partner with Product and Engineering leadership to close the loop on recurring friction and improve the customer experience beyond the original engagement. We expect you to have • 12–18+ years of experience across engineering, solutions architecture, customer engineering, field engineering, or forward deployed engineering. • 3–7+ years leading technical field organizations, including experience building a new function or materially scaling an existing team. • A strong record of hiring, coaching, and scaling Customer Engineering, FDE, Solutions Architecture, or Field CTO teams. • Earlier hands-on engineering experience in cloud, infrastructure, AI, or developer platforms. • Technical judgment to review and elevate architectures across AI applications, inference, infrastructure, and data platforms. • A proven track record of converting customer and partner feedback into shipped platform improvements. • Executive presence and credibility as a trusted advisor to founders, CTOs, and enterprise technical executives. • Experience leading across cloud providers, AI platforms, ISVs, open source communities, and strategic technology partners. • The ability to hire experts, evaluate their work, and set a high technical standard without needing to be the deepest specialist in every domain. It will be an added bonus if you have • Strong relationships across the AI and cloud ecosystem. • Public technical leadership through talks, workshops, reference architectures, open source projects, or developer advocacy. • Built a Forward Deployed Engineering, Customer Engineering, or Field Engineering organization from zero to one. • Scaled a technical field organization across regions or ecosystem domains without lowering the hiring or engineering bar. • Experience as a founder, VP Engineering, Field CTO, Head of Customer Engineering, or early FDE leader. • Led production architecture and execution for demanding AI application, training, inference, or platform workloads. Key Employee Benefits • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) Plan: Up to 4% company match with immediate vesting. • Parental Leave: 20 weeks paid for primary caregivers and 12 weeks for secondary caregivers. • Remote Work Reimbursement: Up to $85/month for mobile and internet. • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Pay Transparency Actual compensation is determined by job-related factors, including experience, skills, qualifications, hiring level, and geographic location, consistent with applicable law. Base Compensation Range: $270,800–$310,000 USD Benefits & Perks • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. Accommodations during the application process are available upon request.

🏢 Summary: Join the Amazon Connect engineering team to design, build, and operate scalable, resilient cloud contact-center systems used by millions of customers. The role offers end-to-end ownership of software across modern web, service-oriented, NoSQL, AI/ML, and big-data technologies, with opportunities to solve complex customer-facing problems. 🗂️ Requirements: 3+ years of professional software development experience excluding internships, 2+ years of system design or architecture experience, Experience programming in at least one programming language 📃 Skills: AWS, Connect, Lex, Polly, Lambda, S3, Kinesis, NoSQL, AI, ML, BigData, SOA, Web, Programming, Architecture 🏢 Description: Description Amazon Connect is a cloud-based contact center service that enables businesses to deliver engaging, dynamic, and personalized customer-service experiences. It leverages Artificial Intelligence and AWS services including Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3, and Amazon Kinesis to provide an extensible, easy-to-use customer experience. The team is seeking Software Development Engineers to innovate on this service and help customers build modern cloud contact centers. You will help design and deliver scalable, resilient systems while maintaining a strong customer focus. Responsibilities • Own code end to end, from design through development. • Work closely with senior technical leaders within the team and across AWS. • Solve complex engineering and algorithmic problems. • Develop systems across modern web, SOA, NoSQL databases, AI, ML, and big-data technologies. • Address real customer problems for a service used directly and indirectly by millions of customers. Work Environment • Work with an inclusive team focused on a shared goal. • Take direct responsibility for solving customer problems. • Learn continuously and take on new challenges. • Collaborate with highly skilled engineers while supporting work-life balance. Benefits and Culture • Flexible work hours and arrangements that support work-life harmony. • Employee-led affinity groups, inclusion events, and learning experiences. • Knowledge-sharing, mentorship, and career-development resources. Basic Qualifications • 3+ years of non-internship professional software development experience. • 2+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling. • Experience programming with at least one software programming language. Preferred Qualifications • 3+ years of full software development life-cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations. • Bachelor’s degree in computer science or equivalent. Additional Information Amazon is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. For Los Angeles County applicants, duties include working safely and cooperatively; adhering to standards of excellence under stressful conditions; communicating effectively and respectfully; following applicable laws and policies; exercising sound judgment; managing stress; demonstrating trustworthiness and professionalism; and safeguarding business operations and reputation. Qualified applicants with arrest and conviction records will be considered in accordance with the Los Angeles County Fair Chance Ordinance. Workplace accommodations or adjustments are available during the application and hiring process, including interview and onboarding support. Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. Comprehensive benefits include medical, dental, vision, prescription, life and AD&D insurance options, employee assistance and mental-health support, medical advice, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Salary ranges: • Santa Clara, CA: $143,700–$194,400 annually. • Santa Clara, CA: $165,200–$223,600 annually. • New York City, NY: $158,100–$213,800 annually. • Seattle, WA: $143,700–$194,400 annually.

🏢 Summary: Senior FPGA developer role focused on designing, implementing, verifying, and validating programmable-logic components for data-center servers. The position owns FPGA architecture and companion firmware, supports deployment and fleet operations, leads technical work, and mentors engineers. 🗂️ Requirements: 8+ years of professional software development experience, 8+ years of programming experience, 8+ years of hardware description language programming experience, 5+ years leading system design or architecture, Experience troubleshooting and debugging hardware, Experience mentoring, serving as a technical lead, or leading an engineering team, Experience contributing to architecture and design of new and existing systems, Bachelor’s degree in electrical engineering or equivalent 📃 Skills: FPGA, VHDL, Verilog, SystemVerilog, Firmware, Hardware, Debugging, Architecture, Validation 🏢 Description: Description This individual contributor role is part of a software development team responsible for FPGA programmable-logic components that operate and support servers in data centers and other environments. The role owns comprehensive FPGA development, including architecture, design, work estimates, implementation, verification, and validation of new features and capabilities. It also contributes to companion firmware that interfaces with programmable-logic design and system-level operations using FPGA functions. Responsibilities - Lead technical work and development efforts through delivery and beyond, including defining work for other team members to meet program milestones. - Collaborate with architecture, hardware, validation, and software engineering teams, as well as external partners, to solve complex system challenges. - Support firmware deployment, operational monitoring, debugging, and fleet health. - Mentor and develop junior team members; contribute to technical direction, team growth, efficiency, and quality. Basic Qualifications - 8+ years of non-internship professional software development experience. - 8+ years of programming experience with at least one software programming language. - 5+ years of experience leading design or architecture of new and existing systems, including design patterns, reliability, and scaling. - Experience troubleshooting and debugging hardware. - Experience as a mentor, technical lead, or engineering team lead. - Experience contributing to the architecture and design of new and existing systems. - Bachelor’s degree in electrical engineering or equivalent. - 8+ years of programming experience with at least one hardware description language: VHDL, Verilog, or SystemVerilog. Preferred Qualifications - 8+ years of full software development life-cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations. - Experience leading and influencing a team or organization. - Experience with work breakdown and estimating design-task effort. Compensation and Benefits - Base salary range: $193,300–$261,500 annually in Cupertino, California; $168,100–$227,400 annually in Seattle, Washington. - Compensation package includes sign-on payments and restricted stock units; final compensation is based on experience, qualifications, and location. - Comprehensive benefits include medical, dental, vision, prescription, life and disability insurance options, employee assistance and mental-health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Technical Design Change Manager role overseeing feasibility, technical review, and implementation of data-center design changes across a large global project portfolio. The position evaluates multidisciplinary infrastructure systems, coordinates engineering and business stakeholders, and improves design-change governance, reporting, and deployment processes. 🗂️ Requirements: 5+ years of industrial or commercial engineering experience in mission-critical facilities, Experience in data centers, power generation, or oil and gas facilities, Bachelor’s degree in Electrical Engineering or related field 📃 Skills: AWS, Electrical, Mechanical, Civil, Structural, Architectural, Controls, Plumbing, FireProtection, Thermal, HVAC, UPS, Switchgear, Hydraulics, Construction, Procurement, Commissioning, Automation 🏢 Description: Description We are seeking a highly technical Design Change Manager to join the GDSCM team, focusing on the Basis of Design (BOD) and Programmatic Design Change Management (PDCM) programs. This role requires deep technical expertise across multiple engineering disciplines and the ability to evaluate complex design changes across 300+ in-flight projects. As a Design Change Manager, you will serve as a technical expert evaluating design change requests across electrical, mechanical, civil, structural, architectural, controls, plumbing, fire protection, and thermal systems. You will conduct feasibility analyses, coordinate technical reviews with principal engineers across all disciplines, and manage the end-to-end lifecycle of design changes from initiation through implementation. You will work closely with Design Engineering, Construction Management, Procurement, Finance, and Product teams to ensure design changes are properly vetted, funded, and executed. Key Job Responsibilities Technical Design Evaluation • Evaluate complex design changes across multiple engineering disciplines, including electrical power distribution, mechanical cooling systems, structural loads, civil site work, architectural layouts, controls systems, plumbing infrastructure, and fire protection systems. • Analyze technical specifications, construction drawings, equipment datasheets, and system integration requirements to assess design change feasibility and impact. • Understand and explain the complexity of data center designs, including power distribution from utility to rack level, cooling system architectures, backup power systems, and building infrastructure. • Identify technical dependencies and cross-discipline impacts when evaluating proposed design changes. • Assess constructability, maintainability, and operational implications of design modifications. • Review and validate technical calculations, including electrical load calculations, cooling capacity requirements, structural load analysis, and hydraulic calculations. Design Change Management • Manage a portfolio of design changes across multiple in-flight projects, ensuring alignment with business priorities and technical requirements. • Conduct feasibility analyses and production-readiness assessments for proposed design changes, evaluating technical risk, schedule impact, and cost implications. • Coordinate technical reviews with principal engineers across mechanical, electrical, structural, civil, architectural, controls, plumbing, and fire protection disciplines. • Develop and maintain implementation plans, tracking design change execution from approval through site deployment. • Present design change recommendations and cost implications to senior leadership, clearly articulating technical complexity and business impact. • Evaluate design improvements and innovations, assessing their applicability across the global portfolio. Cross-Discipline Collaboration • Partner with Electrical Engineers on power distribution design, generator sizing, UPS configurations, switchgear specifications, and high-voltage systems. • Collaborate with Mechanical Engineers on cooling system design, HVAC configurations, piping layouts, and thermal management strategies. • Work with Structural Engineers on foundation design, seismic requirements, equipment support structures, and building loads. • Engage with Civil Engineers on site grading, stormwater management, utility routing, and site infrastructure. • Coordinate with Architectural teams on building layouts, space planning, and building envelope design. • Interface with Controls Engineers on building management systems, monitoring systems, and automation strategies. • Partner with Fire Protection Engineers on fire suppression systems, detection systems, and life-safety requirements. Stakeholder Coordination • Partner with Design Management teams to understand project-specific requirements, constraints, and technical challenges. • Collaborate with Finance teams on cost validation, funding strategies, and budget tracking for design changes. • Work with Construction Management and Procurement teams to assess schedule impacts, supply-chain constraints, and constructability. • Engage with Product and Solutions teams to evaluate new equipment, emerging technologies, and design approaches. • Coordinate with Commissioning teams to ensure design changes support testing and startup requirements. Process Improvement • Identify opportunities to streamline design change workflows and reduce execution timelines while maintaining technical rigor. • Develop and maintain technical documentation, including standard operating procedures, design standards, technical specifications, and RACI matrices. • Contribute to automation initiatives and tooling improvements for design change management. • Support integration of cost-validation frameworks and bulk-funding mechanisms. • Drive continuous improvement in technical review processes and design-quality standards. Program Execution • Track and report on design-change metrics, including approval timelines, cost avoidance, implementation status, and technical quality. • Maintain design-change databases and dashboards for cross-functional visibility. • Support BOD release planning and coordination to minimize redesign impacts. • Participate in weekly leadership reviews, presenting program status, key decisions, and technical recommendations. About the Team The Global Design Standards and Change Management organization within Data Center Engineering is responsible for establishing and maintaining design standards across the global data center portfolio. The team manages three mission-critical programs: • Basis of Design (BOD): Establishes and governs foundational technical standards for global data center designs, ensuring consistency and quality across the portfolio. • Programmatic Design Change Management (PDCM): Manages design change requests across 300+ in-flight projects. • 360 Equipment Qualification Program (360 EQP): Qualifies equipment and technologies for deployment across the global portfolio, evaluating emerging solutions and driving standardization of critical systems. Together, these programs deliver capacity across the AMER, APAC, and EMEA regions. Basic Qualifications • 5+ years of industrial or commercial engineering experience in mission-critical facilities, including data centers, power generation, or oil and gas facilities. • Bachelor’s degree in Electrical Engineering or a related field. • Experience in industrial or commercial engineering in mission-critical facilities, including data centers, power generation, or oil and gas facilities. Preferred Qualifications • Professional Engineer License. • Experience with building codes and regulations for the applicable region. • Experience carrying design concepts through exploration, development, and deployment or mass production. • Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents. Compensation and Benefits The base salary range is $116,800.00–$160,000.00 USD annually for Columbus, OH; Austin, TX; Herndon, VA; and Seattle, WA. The compensation package includes sign-on payments and restricted stock units (RSUs); final compensation is based on experience, qualifications, and location. Comprehensive benefits include health insurance, medical, dental, vision, prescription coverage, life and AD&D insurance options, an employee assistance program, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.