As a Senior Firmware Engineer, you will design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You will work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance.

Key Responsibilities:

• Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring.

• Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments.

• Optimize: BMC Performance and Harden Security

• Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS.

• Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation.

• Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase.

• Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals.

Minimum Qualifications:

• Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware.

• Education: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Technical Skills:

• Proficiency in C/C++ for embedded systems.

• Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments.

• Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish)

• Experience with hardware bring-up, board-level debugging, and sensor integration.

• Comfort with Linux kernel configuration, device trees, and BSP-level integration.

• Working knowledge of source code control system such as Git

• Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles.

• Basic scripting skills in Python or Bash for build automation and validation.

• Strong problem-solving and analytical thinking; able to break down complex system-level issues.

• Communicates effectively with peers across hardware, firmware, and operations teams.

• Self-driven with a focus on delivering high-quality, maintainable code.

• Thrives in a fast-paced environment and balances multiple priorities effectively.

Preferred Qualification:

• Experience developing CI/CD pipeline for firmware builds and regression testing

• Exposure to large-scale datacenter or HPC environments

• Contributions to open-source firmware projects or upstream Linux development

The base salary range for this role is $153,000 to $242,000. 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, including:

• 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

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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Key Responsibilities:

• Develop & Maintain: Contribute to the design, implementation, and testing of BMC firmware in AMI SPX environments using C.
• Integrate: Work cross-functionally with hardware, software, and QA teams to ensure seamless firmware-hardware integration.
• Debug & Optimize: Perform issue triage, root-cause analysis, and implement bug fixes and performance improvements.
• Testing & Validation: Conduct firmware validation across multiple hardware revisions and test environments.
• Document: Produce clear and maintainable documentation for code, configurations, and testing procedures.
• Collaborate & Learn: Work alongside senior engineers to expand your expertise in firmware stack design, Redfish, and system-level architecture.

The base salary range for this role is $109,000 to $160,000. 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, including:

• 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

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Reporting to a senior engineering manager, you will combine people leadership with technical guidance, helping shape team processes, execution, and culture while partnering closely with hardware, platform, and operations teams.

Key Responsibilities:

• Lead & support the team – manage, mentor, and coach a small team of firmware engineers through regular 1-on-1s, goal-setting, and feedback, fostering a collaborative and psychologically safe environment.

• Execution & delivery – help plan and track firmware development work, ensuring timely delivery of features, bug fixes, and platform enablement across multiple hardware programs.

• Technical guidance – participate in design discussions and reviews, helping the team make sound technical decisions around embedded firmware, BMC architectures, and system integration.

• Cross-functional collaboration – work closely Hardware Engineering and Systems Engineering teams to ensure firmware aligns with hardware requirements and production needs.

• Quality & reliability – support best practices around testing, validation, debugging, and documentation to ensure firmware reliability in large-scale production environments.

• Process building – help establish lightweight development processes, documentation standards, and tooling appropriate for a growing firmware organization.

• Grow the team – partner with recruiting and senior leadership to interview and onboard new firmware engineers as the team scales.

• Communicate & align – provide clear status updates, surface risks early, and communicate trade-offs and progress to stakeholders and leadership.

Requirements:

• 2+ years of experience in an engineering leadership role (engineering manager, tech lead with people management responsibilities, or similar).

• Prior hands-on experience as a firmware or embedded systems engineer.

• Working knowledge of embedded firmware development using C/C++ in Linux-based environments.

• Familiarity with BMC firmware stacks such as OpenBMC and/or AMI MegaRAC/SPX.

• Understanding of hardware interfaces and system-level concepts (e.g., I2C, SPI, UART, board bring-up).

• Strong communication skills, with the ability to collaborate across hardware and software teams.

• Passion for mentoring engineers and building inclusive, high-performing teams.

Preferred Qualifications:

• Experience supporting firmware development for data center or server-class hardware.

• Familiarity with Redfish, IPMI, or other data center management protocols.

• Exposure to firmware testing, validation, and production bring-up processes.

• Experience helping establish engineering processes in a new or growing team.

• Background in fast-growing or hardware-software integrated environments.

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This role requires a strong analytical and problem-solving skillset, with the ability to work with multiple stakeholders and prioritize tasks effectively. The ideal candidate will have a strong understanding of IT service management principles and practices, as well as experience with data analysis and reporting tools such as PowerBI and Excel.

Responsibilities:

• Design and develop metrics and reports using data from Helix, and other data sources
• Assist Service Management Analysts and technology partners in defining requirements for metrics and reports
• Support and enhance existing metrics and reports
• Support and enhance the Helix (SQL server) data mart
• Act as a liaison to the Data and Analytics reporting team for support and requirements
• Analyze data for trends, root cause, and performance issues
• Validate data accuracy
• Identify and troubleshoot data issues
• Work with vendors as appropriate to resolve data issues or discuss requirements
• Identify metrics and reports that will help improve TO processes
• Track and report status of metrics and reporting projects

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Your work will involve hands-on troubleshooting and repair of compute, storage, interconnect and cooling systems to keep our large GPU/CPU cluster healthy and scalable. You will also be responsible for leading complex interventions, advanced diagnostics, guiding and uplifting L1s, process and automation, safety and compliance, and parts and logistics.

To be successful in this role, you will need 5+ years of experience in data center/server hardware or L2/L3 hardware support, with proven complex hands-on work in production (HPC/AI/Cloud at scale). You should have end-to-end hardware expertise, including comfort with CPU/memory/PCIe cards, NICs, PSUs, drives, network, power and cooling. You should also be confident in analyzing BMC/IPMI logs, linux software logs and crashes simple CLI checks, and have methodical root cause analysis skills.

The ideal candidate will be willing to travel between sites (Paris area or nearby regions, occasionally in Europe or US) and have a strong understanding of safety and discipline, including impeccable ESD/LOTO/PPE habits, zero rough handling, and clean, labeled, auditable work.

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Compensation

• $86.4K – $228K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders such as Oracle today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced hardware professionals who can help ensure our high-density compute environment operates at peak performance.

About the Role

We are seeking a senior datacenter hardware operations technician to coordinate physical hardware activities at a large partner-operated campus. In this role you will work side-by-side with Oracle and their delivery teams, helping align OpenAI’s compute requirements with day-to-day hardware work on the ground. Rather than directing partner personnel, you will focus on collaboration, technical alignment, and shared problem solving, ensuring that maintenance, repairs, and lifecycle activities support the performance and reliability goals of both organizations. As the campus matures, you will help capture lessons learned and develop standards and playbooks to guide hardware operations at future OpenAI infrastructure projects.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

Responsibilities

• Serve as OpenAI’s primary on-site hardware contact, collaborating with Oracle teams and vendors to plan and coordinate maintenance, repairs, and lifecycle activities.

• Share technical requirements and verify that work performed supports OpenAI’s compute needs and agreed quality targets.

• Coordinate schedules, spare-parts planning, and issue escalation with partner teams to minimize downtime and keep operations running smoothly.

• Work with OpenAI fleet-health engineers to translate software-detected issues into on-site hardware actions in partnership with Oracle.

• Track hardware trends and provide joint recommendations with partner teams for design or operational improvements.

• Prepare documentation and runbooks that capture joint best practices and can be applied at additional campuses.

• Offer technical guidance and context to partner personnel while respecting their operational ownership.

• Collaborate with supply-chain teams to plan spares and manage hardware lifecycle activities.

Requirements

• Have 7+ years of experience in datacenter hardware operations, hardware engineering, or large-scale server maintenance, with at least 2 years in a senior or lead technician capacity.

• Bring deep knowledge of high-density server hardware, including x86 platforms, GPUs, storage devices, and power/cooling systems.

• Excel at diagnosing hardware issues, coordinating complex repairs, and maintaining strong working relationships across organizations.

• Are comfortable setting technical expectations and validating outcomes through collaboration, not direct management.

• Adapt quickly to changing operational conditions and enjoy solving problems at both the strategic and on-site levels.

• Communicate clearly and build trust across partner teams, vendors, and internal engineering stakeholders.

• Are willing to be based full-time at a partner-operated campus

Preferred Skills

• Familiarity with large-scale cluster management or monitoring tools (IPMI, BMC, Prometheus, Nagios) to interpret alerts and coordinate partner responses.

• Experience with GPU-accelerated compute clusters or other high-performance computing hardware.

• Knowledge of Linux/Unix system administration and command-line diagnostic tools for hardware validation.

• Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent.

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Location

Remote - US; New York City; San Francisco; Seattle

Employment Type

Full time

Location Type

Remote

Department

Security

Compensation

• SF, Seattle or NYC $230K – $385K • Offers Equity
• Zone A $207K – $346.5K • Offers Equity
• Zone B $184K – $308K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data.

In this role, you will:

• Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats.
• Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure.
• Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads.
• Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges.

You will thrive in this role if you have:

• Deep understanding of security principles, best practices, and common vulnerabilities.
• A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling.
• A track record of delivering scalable solutions and driving impactful changes across infrastructure in real-world projects.
• Expertise in the security of cloud platforms (e.g., Amazon AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems.
• Experience securing on-prem deployments and datacenters from construction to multi-tenant use.
• Familiarity with container security, orchestration security, and authentication/authorization.
• Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks.
• Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders.
• Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage.

In this role, you will:

• Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response.

• Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns.

• Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain.

• Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one.

• Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path).

• Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale.

You might thrive in this role if you:

• Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks.

• Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions.

• Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system.

• Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking).

• Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths.

• Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible.

• Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe.

• Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements.

• Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences.

• Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage.

In this role, you will:

• Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response.

• Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns.

• Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain.

• Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one.

• Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path).

• Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale.

You might thrive in this role if you:

• Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks.

• Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions.

• Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system.

• Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking).

• Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths.

• Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible.

• Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe.

• Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements.

• Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences.

• Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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