Senior Asset & Inventory Operations Coordinator

Staff Digital Twin Engineer

Graphcore

ABOUT US Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. JOB SUMMARY We are looking for a Staff Digital Twin Engineer to help design, build and evolve digital twin capabilities that support the development, validation and operation of advanced AI compute systems. Reporting to an Engineering Manager within the Digital Twin / Simulation Platform team, this role will lead significant technical work across simulation, 3D visualization, data integration and workflow automation, with a particular focus on the Omniverse platform, OpenUSD-based pipelines, data center operations, and rack and blade-level design and simulation workflows. THE TEAM The Digital Twin / Simulation Engineer works with internal Graphcore teams and Softbank Group affiliates. Team will be responsible for the design, development and integration of simulation and visualization capabilities that support data center digital twin, machine behavior modeling and interactive 3D experiences. This role combines simulation engineering, real-time visualization and 3D scene-building using NVIDIA Omniverse and modern tool chains. Team will build behavioral logic, physics integrations, and visualization layers that enable accurate, high-performance representation of data center components, job sites and workflows. RESPONSIBILITIES AND DUTIES * This is a hands-on technical leadership role, involving architecture, implementation, technical guidance and mentoring, without direct line management responsibility. * Apply MBSE methodologies to drive the development of systems and ensure traceability from requirements to implementation. * Develop and deploy simulation logic and behavioral models governing machine and system behavior. Implement real‑time simulation algorithms, including kinematics, dynamics, and control‑system interactions. This includes integration of physics engines (e.g., PhysX, Omniverse Physics, or equivalent) to support realistic behavior and machine–environment interactions. * Develop and execute model validation and verification plans, ensuring digital twins are accurate and numerically stable. * Develop robust scene composition, data modeling and asset management approaches for engineering digital twins across component, blade, rack and facility-level views. * Create high-fidelity 3D models, scenes and environments in Omniverse. Develop interfaces that connect simulations to real‑time visualization, dashboards, and operator‑focused experiences. Implement automated test pipelines and document model correlations, limitations, and validation scoring. * Contribute to toolchain and pipeline design, including scripting utilities, automated test frameworks, and modular code libraries. Collaborate across data engineering/architecture, autonomy, product groups, and engineering to ensure interoperability and alignment with business needs. * Evaluate and implement new simulation libraries and real‑time rendering technologies that enhance simulation fidelity and performance. Work hands‑on with multiple digital‑twin platforms, such as: NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Unity or similar. * Integrate engineering and operational data from simulation, test, telemetry, design systems, asset inventories and infrastructure sources into coherent digital twin environments. * Support testing, debugging, performance analysis and reliability improvements across digital twin applications and services. * Establish engineering best practices for OpenUSD schemas, Omniverse workflows, version control, documentation and release processes. * Provide technical guidance, code review and mentoring to engineers working with digital twin, simulation and data integration technologies. * Produce clear technical documentation and communicate progress, risks and decisions to technical and non-technical stakeholders. CANDIDATE PROFILE ESSENTIAL * Degree in Mechanical, Electrical, Systems Engineering, Computer Science or related discipline. * 8+ years of engineering experience in automation, simulation, or controls. * Experience designing, building or maintaining digital twin, simulation, 3D visualization or engineering platform software. * Hands-on experience with the Omniverse platform, including Omniverse Kit, extensions, connectors or related development workflows. * Strong knowledge of OpenUSD / USD concepts, including composition, layering, schemas, assets and scene graph workflows. * Experience working with data center operations, infrastructure environments, operational planning or systems used to manage complex technical facilities. * Experience developing simulation or modeling workflows that support engineering decisions for complex hardware, infrastructure or operational systems. * Strong software engineering skills in Python, C++ or both, with experience building maintainable production-quality tools or services. * Experience integrating complex engineering and operational data from multiple systems, formats or APIs into usable software workflows. * Understanding simulation, real-time visualization, physics-based modeling, rendering pipelines or spatial computing concepts. * Ability to lead complex technical tasks independently, manage priorities and make sound engineering decisions with incomplete information. * Strong collaboration and communication skills, with the ability to work effectively across multiple engineering disciplines. * Experience reviewing designs and code, sharing technical knowledge and helping other engineers adopt new tools and practices. DESIRABLE * Experience applying digital twin technologies in data center, high-performance computing, semiconductor, robotics, manufacturing or complex systems environments. * Experience with rack and blade design concepts, including physical layout, serviceability, power, cooling, cabling, networking or mechanical constraints. * Experience modeling thermal, power, airflow, mechanical, cabling, networking or serviceability characteristics for rack-scale or facility-scale systems. * Experience with synthetic data generation, sensor simulation, telemetry visualization or operational monitoring workflows. * Knowledge of containerized deployment, cloud or on-premises infrastructure, CI/CD and automated testing for engineering tools. * Experience with 3D asset pipelines, materials, lighting, rendering, physics simulation or model optimization. * Familiarity with adjacent platforms or technologies such as Unreal Engine, Unity, Blender, ROS, CAD/CAE tools, DCIM tools or PLM systems. * Understanding of AI, machine learning, accelerated computing or large-scale system architecture concepts. * Experience developing user-facing tools for engineering or operations teams, including workflow design, usability improvements and technical enablement. BENEFITS In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Senior Manager, Technical Services Engineering

Mongodb

Technical Services has global team members in offices spanning the globe including New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We are looking for a transformational leader to join the MongoDB Technical Services team, leading regional teams of MongoDB ‘core’ and ‘cloud’ Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s core database functionality as well as troubleshooting cloud issues to enable successful customer implementations at scale. Click here to learn more about our Technical Services team. We are looking to speak to candidates who are based in Austin, as this role will require working in our Austin office 3 or more days a week. TYPICAL RESPONSIBILITIES OF THE TEAM INCLUDE * Diagnosing and resolving performance related issues * Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements * Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution * Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues * Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team * Increasing case-deflection numbers by contributing to knowledge-base, distributing knowledge to peers and the general MongoDB community * Working on specific accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging expansion of use Our customers are the best and brightest in the business and they have great expectations of our products and our company. If you are the type of person who enjoys helping customers, managing complex, fast-moving situations and leading/managing a talented group of individuals who continuously delight our customers, then this role is for you! CANDIDATE PROFILE Required * 8+ years managing technical support or customer-facing engineering teams, with demonstrated success scaling operations, implementing process improvements, and elevating team performance * Proven track record in operational excellence: implementing metrics-driven improvements, designing scalable workflows, and optimizing resource allocation across distributed teams * Strong people development philosophy: history of coaching technical talent from individual contributors to senior engineers, with concrete examples of career progression under your leadership * Deep technical foundation across multiple database technologies (relational, NoSQL, distributed systems) with hands-on experience diagnosing complex production issues * Project leadership experience: successfully led cross-functional technical initiatives requiring coordination across engineering, product, and support organizations * Exposure to AI/ML technologies: understanding of how modern AI systems interact with data platforms, vector databases, or experience supporting AI-driven applications * Ability to balance technical depth with strategic thinking—equally comfortable reviewing query execution plans and presenting operational roadmaps to executives * Experience building and refining KPIs, implementing tooling improvements, and using data to drive team decisions * Strong diagnostic and troubleshooting skills with ability to lead-by-example during critical escalations * Comfort with the full people management lifecycle: hiring, performance management, succession planning, and translating organizational strategy to individual development plans * Ability to calibrate communication for diverse audiences—from kernel debugging sessions to executive business reviews Desirable * Prior work at a database company, specifically in the NoSQL space, or managing support for highly concurrent distributed systems in production. Scaled SaaS customer facing role experience preferred * Experience with modern observability, analytics, and automation tools; familiarity with how AI can enhance team operations * Track record of process innovation that demonstrably improved efficiency metrics (case deflection, resolution time, customer satisfaction) * Experience developing analytical dashboards using tools like Tableau, or implementing data-driven approaches to operational planning SUCCESS MEASURES * Within 30 days * Complete MongoDB’s new hire technical training program; be able to speak confidently about our total portfolio of products * Build initial rapport with the team and gain their trust * Within 60 days * Understand our global follow-the-sun processes and escalation processes * Have formed relationships with escalation managers, CSMs, sales, field and engineering stakeholders * Have begun conducting regular 1 on1’s with your teams as well as other managers within Technical Services and across the business * Within 90 days * Take assignment of and drive five (5) cases to closure to learn our internal processes * Have identified areas of efficiency for the team to scale * Effectively lead regional escalations and RCA’s when needed * At 120 days and onward * Present a comprehensive operational improvement plan addressing at least two areas: process efficiency, tooling gaps, knowledge management, or team development frameworks * Conduct three (3) face-to-face interactions with marquee customers, either in-person or virtually * Demonstrate the understanding of the short and long term goals of the Technical Services team and how your team is working toward those objectives ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.  MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.   Req ID: 3263274319 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $140,000—$275,000 USD

Senior Systems Engineer

Graphcore

ABOUT US Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.   JOB SUMMARY We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.   THE TEAM The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.   RESPONSIBILITIES AND DUTIES * Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. * Support engineering bring-up activities, including component validation and firmware interaction testing. * Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. * Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. * Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. * Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. * Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. * Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics. * Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases. CANDIDATE PROFILE ESSENTIAL * Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. * 7 years experience with server hardware architectures and board-level debugging. * Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. * Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. * Strong collaboration skills and ability to work effectively in fast-paced engineering environments. * Excellent written and verbal communication skills. DESIRABLE * Experience supporting prototype or pre-production hardware bring-up. * Familiarity with data center facilities, including liquid cooling and power distribution systems. * Experience using Python, Bash, or automation tools for hardware validation or troubleshooting. * Exposure to structured failure analysis and reliability engineering methodologies.   USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.