Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are Deep understanding of server hardware, components, and management technologies. Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization . click apply for full job details
10/26/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are Deep understanding of server hardware, components, and management technologies. Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization . click apply for full job details
Job Description Job Description Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. The Role We are hiring our first Lead AI Architect to design, build, and run the centralized data and AI platform that powers Banyan. The cornerstone of the work is a centralized data model, a Banyan data lake, that consolidates the data we already have and unlocks safe AI experimentation for our internal functional teams: Finance, M&A, Business Development, and others. This role is modeled on a classical Enterprise Architect role and adapted for an AI-first world. You will set the target-state architecture, choose the patterns we standardize on, write code yourself, and own the result. You will partner with our embedded business analysts and the leaders of each functional vertical so the platform stays grounded in real use cases, not abstractions. This is a player-coach role. You start hands-on. Over time you build and lead a small platform team. What You Will Build A centralized data lake on AWS: the single, governed source of truth for internal Banyan data. Designed for analytics, ML, and AI experimentation. A reference architecture for AI: patterns and building blocks our verticals use to go from idea to safe production: model selection, RAG, evaluation, observability, cost controls. Guardrails that make experimentation safe: data classification, access tiering, sandboxes, audit logging, and clear rules for what can be sent where. A platform team and operating model: the team, standards, and rituals that keep the platform reliable and improving as adoption grows. What You Will Do Define and own the target-state data and AI architecture for Banyan. Make the trade-offs explicit and write them down. Design and build the AWS-centric data lake. Set the patterns for storage, cataloging, query, ingestion, modeling, and lineage. Likely stack: S3, Glue, Lake Formation, Athena, Redshift, Iceberg or similar open table formats, plus Terraform or CDK for infrastructure as code. Stand up the AI experimentation layer: model access via Anthropic, OpenAI and other LLM Establish data contracts, schema standards, naming conventions, and a domain model that holds up as we add sources and acquire companies. Partner with our Senior Business Analysts embedded in Finance, M&A, and Business Development to translate use cases into platform requirements and to unblock their work. Define security, privacy, and AI safety guardrails. Classify data, design access tiering, and set the rules for handling PII, regulated data, and confidential portfolio information. Stay hands-on. Write code, ship infrastructure, run code reviews, and debug production issues. Architects who do not build lose touch. Build the team including vertical aligned Senior Business AI Analysts. Find suitable contractors for data platform engineers, ML platform engineers, and data engineers. Mentor them. Set the bar for engineering quality. Own platform reliability, observability, and cost. Set SLOs, monitor usage, and keep the bill rational as we scale. Represent Banyan's AI and data architecture to our executive team, our portfolio companies, and external partners. First-Year Outcomes A production-ready, governed data lake foundation deployed on AWS, with at least three priority data domains landed and modeled. At least two functional verticals onboarded to the platform with safe, audited data access for analytics and AI experimentation. A documented reference architecture, security model, and standards library that new use cases and new hires can plug into. At least one AI use case running in production through the platform, with monitoring, evaluation, and a clear ROI story. First one to two team hires made and ramped. Who You Are 10+ years building data and AI platforms in production at meaningful scale. You have shipped, not just diagrammed. Deep AWS expertise. Hands-on with S3, IAM, KMS, networking, Glue, Lake Formation, Athena, Redshift, SageMaker, Bedrock, and EKS or ECS. Strong data architecture chops: lakehouse patterns, open table formats (Iceberg, Delta, or Hudi), data modeling, ingestion frameworks (Fivetran, Airbyte, custom), orchestration (Airflow, Dagster, or similar), and lineage. Real experience with modern AI/ML platform patterns: feature stores, model registries, experiment tracking, prompt and evaluation frameworks, retrieval-augmented generation, and basic agentic workflows. A working point of view on AI safety: data classification, PII handling, access tiering, evaluation, and model-risk controls. Hands-on coder. Strong Python and SQL. Comfortable in Terraform or AWS CDK. Reads logs, fixes issues, ships pull requests. Player-coach experience. You have led small teams, mentored engineers, set hiring bars, and grown people. A strong communicator. You can drive an architecture decision review with engineers and explain trade-offs to executives in the same week. Bachelor's degree in computer science, engineering, or a related field. A master's degree is a plus, not a requirement. Bonus Points Experience in private-equity-backed or holding-company environments with multiple business units and inconsistent source systems. Experience designing AI guardrails for non-public, regulated, or competitively sensitive data. Track record of treating internal platforms as products, with named users, SLAs, and a real adoption strategy. Experience with Snowflake or Databricks. Useful when bridging to portfolio company data without forcing a single stack. Past experience as the first or early platform hire at a growth-stage company. Why Banyan Greenfield with real budget. You set the foundation, you do not inherit a tangle. Real ownership of the AI and data architecture for an entire holding company. A long-term horizon. We do not optimize for the next quarter, so the platform you build can compound. A team that treats AI as a serious capability, not a buzzword. We have already built internal AI tooling we use every day. A culture of accountable autonomy. We trust you to do the work. Competitive compensation, benefits, and meaningful long-term upside. Quick Facts Team AI & Data Science Reports to Head of AI (And Or) Head of IT Scope Player-coach. Hands-on architect today, leading a small platform team over time. Location 100% Remote Type Full-time Level Lead Compensation Competitive base of CAD $180,000 to $210,000 plus performance bonus and benefits. Final offer reflects experience and qualifications. How to Apply Send your resume and a short note describing a data or AI platform you have architected. Tell us the choices you made, what shipped to production, and what you would do differently if you were starting over today. We look forward to hearing from you. Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed. Recruitment Notice Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. . click apply for full job details
10/26/2026
Full time
Job Description Job Description Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. The Role We are hiring our first Lead AI Architect to design, build, and run the centralized data and AI platform that powers Banyan. The cornerstone of the work is a centralized data model, a Banyan data lake, that consolidates the data we already have and unlocks safe AI experimentation for our internal functional teams: Finance, M&A, Business Development, and others. This role is modeled on a classical Enterprise Architect role and adapted for an AI-first world. You will set the target-state architecture, choose the patterns we standardize on, write code yourself, and own the result. You will partner with our embedded business analysts and the leaders of each functional vertical so the platform stays grounded in real use cases, not abstractions. This is a player-coach role. You start hands-on. Over time you build and lead a small platform team. What You Will Build A centralized data lake on AWS: the single, governed source of truth for internal Banyan data. Designed for analytics, ML, and AI experimentation. A reference architecture for AI: patterns and building blocks our verticals use to go from idea to safe production: model selection, RAG, evaluation, observability, cost controls. Guardrails that make experimentation safe: data classification, access tiering, sandboxes, audit logging, and clear rules for what can be sent where. A platform team and operating model: the team, standards, and rituals that keep the platform reliable and improving as adoption grows. What You Will Do Define and own the target-state data and AI architecture for Banyan. Make the trade-offs explicit and write them down. Design and build the AWS-centric data lake. Set the patterns for storage, cataloging, query, ingestion, modeling, and lineage. Likely stack: S3, Glue, Lake Formation, Athena, Redshift, Iceberg or similar open table formats, plus Terraform or CDK for infrastructure as code. Stand up the AI experimentation layer: model access via Anthropic, OpenAI and other LLM Establish data contracts, schema standards, naming conventions, and a domain model that holds up as we add sources and acquire companies. Partner with our Senior Business Analysts embedded in Finance, M&A, and Business Development to translate use cases into platform requirements and to unblock their work. Define security, privacy, and AI safety guardrails. Classify data, design access tiering, and set the rules for handling PII, regulated data, and confidential portfolio information. Stay hands-on. Write code, ship infrastructure, run code reviews, and debug production issues. Architects who do not build lose touch. Build the team including vertical aligned Senior Business AI Analysts. Find suitable contractors for data platform engineers, ML platform engineers, and data engineers. Mentor them. Set the bar for engineering quality. Own platform reliability, observability, and cost. Set SLOs, monitor usage, and keep the bill rational as we scale. Represent Banyan's AI and data architecture to our executive team, our portfolio companies, and external partners. First-Year Outcomes A production-ready, governed data lake foundation deployed on AWS, with at least three priority data domains landed and modeled. At least two functional verticals onboarded to the platform with safe, audited data access for analytics and AI experimentation. A documented reference architecture, security model, and standards library that new use cases and new hires can plug into. At least one AI use case running in production through the platform, with monitoring, evaluation, and a clear ROI story. First one to two team hires made and ramped. Who You Are 10+ years building data and AI platforms in production at meaningful scale. You have shipped, not just diagrammed. Deep AWS expertise. Hands-on with S3, IAM, KMS, networking, Glue, Lake Formation, Athena, Redshift, SageMaker, Bedrock, and EKS or ECS. Strong data architecture chops: lakehouse patterns, open table formats (Iceberg, Delta, or Hudi), data modeling, ingestion frameworks (Fivetran, Airbyte, custom), orchestration (Airflow, Dagster, or similar), and lineage. Real experience with modern AI/ML platform patterns: feature stores, model registries, experiment tracking, prompt and evaluation frameworks, retrieval-augmented generation, and basic agentic workflows. A working point of view on AI safety: data classification, PII handling, access tiering, evaluation, and model-risk controls. Hands-on coder. Strong Python and SQL. Comfortable in Terraform or AWS CDK. Reads logs, fixes issues, ships pull requests. Player-coach experience. You have led small teams, mentored engineers, set hiring bars, and grown people. A strong communicator. You can drive an architecture decision review with engineers and explain trade-offs to executives in the same week. Bachelor's degree in computer science, engineering, or a related field. A master's degree is a plus, not a requirement. Bonus Points Experience in private-equity-backed or holding-company environments with multiple business units and inconsistent source systems. Experience designing AI guardrails for non-public, regulated, or competitively sensitive data. Track record of treating internal platforms as products, with named users, SLAs, and a real adoption strategy. Experience with Snowflake or Databricks. Useful when bridging to portfolio company data without forcing a single stack. Past experience as the first or early platform hire at a growth-stage company. Why Banyan Greenfield with real budget. You set the foundation, you do not inherit a tangle. Real ownership of the AI and data architecture for an entire holding company. A long-term horizon. We do not optimize for the next quarter, so the platform you build can compound. A team that treats AI as a serious capability, not a buzzword. We have already built internal AI tooling we use every day. A culture of accountable autonomy. We trust you to do the work. Competitive compensation, benefits, and meaningful long-term upside. Quick Facts Team AI & Data Science Reports to Head of AI (And Or) Head of IT Scope Player-coach. Hands-on architect today, leading a small platform team over time. Location 100% Remote Type Full-time Level Lead Compensation Competitive base of CAD $180,000 to $210,000 plus performance bonus and benefits. Final offer reflects experience and qualifications. How to Apply Send your resume and a short note describing a data or AI platform you have architected. Tell us the choices you made, what shipped to production, and what you would do differently if you were starting over today. We look forward to hearing from you. Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed. Recruitment Notice Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. . click apply for full job details
Job Description Job Description At VIDA, we're passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We're committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients' lives around the world. We're a small, fast-growing company with big benefits and the kind of culture that makes you smile. All we're missing is YOU! If you're looking to make a difference and channel your expertise into meaningful work that's changing the world for the better, we want to hear from you. Role Overview VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA's cloud-based products and services. This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model-the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA's regulatory and compliance obligations. Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model. You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards. Key Responsibilities Release Strategy and Delivery Governance Define and continuously improve VIDA's software release strategy, standards, governance model, and success measures. Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals. Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius. Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required. Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation. Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement. CI/CD, Progressive Delivery, and Production Safety Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD - trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns. Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle. Ensure release evidence-including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results-is reliable, searchable, and audit-ready. Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control. Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices. Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies, and incident-response paths. Strengthen software supply-chain controls - dependency and secrets management, artifact integrity, SBOMs, and infrastructure-as-code validation. AI-Assisted Software Engineering Help define and operationalize VIDA's standards and guardrails for responsible AI-assisted software development. Ensure AI-assisted and AI-generated code remains subject to appropriate human ownership, peer review, testing, security validation, architecture standards, traceability, and production-readiness requirements through established processes. Partner with Security, Privacy, Quality, and Compliance to establish processes that protect source code, credentials, PHI, PII, customer information, and other sensitive data when AI development tools are used. Measure the impact of AI-assisted engineering on development velocity, quality, security findings, change failure rates, rollback frequency, and production incidents. Help VIDA increase engineering productivity through AI without weakening quality, security, regulatory compliance, or accountability. Delivery Performance and Continuous Improvement Establish a balanced software-delivery scorecard covering velocity, quality, reliability, security, compliance, and customer impact. Track and improve the four DORA metrics - deployment frequency, lead time, change failure rate, and recovery time - alongside rollback rate, escaped defects, and pipeline reliability. Use delivery data to identify systemic constraints including unreliable tests, slow environments, excessive manual steps, ineffective approvals, and recurring sources of production failures. Provide engineering and executive leadership with clear visibility into software delivery health, release risk, AI-development adoption, and improvement opportunities. Lead improvement initiatives that reduce release friction while increasing engineering autonomy and production reliability. Cross-Functional Leadership Partner with Engineering leaders and technical leads to establish clear service ownership and accountability for production changes. Work with Product Management on feature rollout, customer communication, staged availability, and release readiness. Collaborate with Quality Engineering to strengthen automated testing, risk-based validation, and quality signals. Ensure software-delivery practices meet VIDA policies, customer obligations, and applicable regulatory requirements. Support customer assessments and audits by maintaining defensible release and change-management evidence. Run the release capability as a platform product - treat engineering teams as your customers, measure adoption, and never become a centralized release bottleneck. Required Qualifications 5+ years of experience in software engineering, DevOps, release engineering, SRE, platform engineering, quality engineering, or a related technical delivery discipline. 2+ years leading or materially improving release management, CI/CD, DevOps, or production-readiness practices in a SaaS or cloud environment. Strong understanding of processes behind CI/CD, Test Driven Development, and infrastructure as code. Experience with progressive delivery approaches including feature flags, staged rollouts, canary or blue/green deployment, health-based promotion, and rollback. Strong understanding of software delivery metrics, observability, incident response, and operational reliability. Demonstrated ability to design risk-based processes that improve engineering velocity while maintaining production safety. Strong systems thinking and organizational-change experience leveraging Agile delivery methodologies such as ScrumBan, Kanban, SAFe, etc. Ability to engage credibly with engineers on technical details that impact process, releases, and messaging to internal/external stakeholders. Preferred Qualifications Experience in healthcare, life sciences, medical software, clinical trials, or another regulated SaaS environment. Familiarity with frameworks or requirements such as SOC 2, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, GxP/GCP, NIST, or OWASP. Experience with AWS, containerized or serverless systems, infrastructure as code, and modern DevOps tooling. Experience building reusable CI/CD workflows, internal developer platforms, policy-as-code controls, or developer self-service capabilities. Familiarity with software supply-chain security, vulnerability management, SBOMs, artifact integrity, and secrets management. Experience using or governing AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar technologies. Experience supporting enterprise customer security assessments, compliance reviews, or external audits. Reporting Relationship This role reports to the VP of Engineering and works closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Software Quality, Security, Privacy, Compliance, Customer Success, and Technical Support. Engineering teams and service owners retain accountability for the quality and operation of their services. The Release Manager provides the strategy, processes, standards, visibility, and oversight that enable those teams to deliver software safely and efficiently. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex . click apply for full job details
10/19/2026
Full time
Job Description Job Description At VIDA, we're passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We're committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients' lives around the world. We're a small, fast-growing company with big benefits and the kind of culture that makes you smile. All we're missing is YOU! If you're looking to make a difference and channel your expertise into meaningful work that's changing the world for the better, we want to hear from you. Role Overview VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA's cloud-based products and services. This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model-the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA's regulatory and compliance obligations. Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model. You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards. Key Responsibilities Release Strategy and Delivery Governance Define and continuously improve VIDA's software release strategy, standards, governance model, and success measures. Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals. Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius. Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required. Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation. Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement. CI/CD, Progressive Delivery, and Production Safety Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD - trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns. Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle. Ensure release evidence-including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results-is reliable, searchable, and audit-ready. Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control. Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices. Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies, and incident-response paths. Strengthen software supply-chain controls - dependency and secrets management, artifact integrity, SBOMs, and infrastructure-as-code validation. AI-Assisted Software Engineering Help define and operationalize VIDA's standards and guardrails for responsible AI-assisted software development. Ensure AI-assisted and AI-generated code remains subject to appropriate human ownership, peer review, testing, security validation, architecture standards, traceability, and production-readiness requirements through established processes. Partner with Security, Privacy, Quality, and Compliance to establish processes that protect source code, credentials, PHI, PII, customer information, and other sensitive data when AI development tools are used. Measure the impact of AI-assisted engineering on development velocity, quality, security findings, change failure rates, rollback frequency, and production incidents. Help VIDA increase engineering productivity through AI without weakening quality, security, regulatory compliance, or accountability. Delivery Performance and Continuous Improvement Establish a balanced software-delivery scorecard covering velocity, quality, reliability, security, compliance, and customer impact. Track and improve the four DORA metrics - deployment frequency, lead time, change failure rate, and recovery time - alongside rollback rate, escaped defects, and pipeline reliability. Use delivery data to identify systemic constraints including unreliable tests, slow environments, excessive manual steps, ineffective approvals, and recurring sources of production failures. Provide engineering and executive leadership with clear visibility into software delivery health, release risk, AI-development adoption, and improvement opportunities. Lead improvement initiatives that reduce release friction while increasing engineering autonomy and production reliability. Cross-Functional Leadership Partner with Engineering leaders and technical leads to establish clear service ownership and accountability for production changes. Work with Product Management on feature rollout, customer communication, staged availability, and release readiness. Collaborate with Quality Engineering to strengthen automated testing, risk-based validation, and quality signals. Ensure software-delivery practices meet VIDA policies, customer obligations, and applicable regulatory requirements. Support customer assessments and audits by maintaining defensible release and change-management evidence. Run the release capability as a platform product - treat engineering teams as your customers, measure adoption, and never become a centralized release bottleneck. Required Qualifications 5+ years of experience in software engineering, DevOps, release engineering, SRE, platform engineering, quality engineering, or a related technical delivery discipline. 2+ years leading or materially improving release management, CI/CD, DevOps, or production-readiness practices in a SaaS or cloud environment. Strong understanding of processes behind CI/CD, Test Driven Development, and infrastructure as code. Experience with progressive delivery approaches including feature flags, staged rollouts, canary or blue/green deployment, health-based promotion, and rollback. Strong understanding of software delivery metrics, observability, incident response, and operational reliability. Demonstrated ability to design risk-based processes that improve engineering velocity while maintaining production safety. Strong systems thinking and organizational-change experience leveraging Agile delivery methodologies such as ScrumBan, Kanban, SAFe, etc. Ability to engage credibly with engineers on technical details that impact process, releases, and messaging to internal/external stakeholders. Preferred Qualifications Experience in healthcare, life sciences, medical software, clinical trials, or another regulated SaaS environment. Familiarity with frameworks or requirements such as SOC 2, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, GxP/GCP, NIST, or OWASP. Experience with AWS, containerized or serverless systems, infrastructure as code, and modern DevOps tooling. Experience building reusable CI/CD workflows, internal developer platforms, policy-as-code controls, or developer self-service capabilities. Familiarity with software supply-chain security, vulnerability management, SBOMs, artifact integrity, and secrets management. Experience using or governing AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar technologies. Experience supporting enterprise customer security assessments, compliance reviews, or external audits. Reporting Relationship This role reports to the VP of Engineering and works closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Software Quality, Security, Privacy, Compliance, Customer Success, and Technical Support. Engineering teams and service owners retain accountability for the quality and operation of their services. The Release Manager provides the strategy, processes, standards, visibility, and oversight that enable those teams to deliver software safely and efficiently. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex . click apply for full job details
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are Deep understanding of server hardware, components, and management technologies. Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization . click apply for full job details
10/19/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are Deep understanding of server hardware, components, and management technologies. Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization . click apply for full job details
Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
10/02/2026
Full time
Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
10/02/2026
Full time
Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
09/28/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html