XML job scraping automation by YubHub

In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

XML job scraping automation by YubHub

In this role, you'll build the foundational systems that power our execution and infrastructure layers, including Zero.

This is a low-level, performance-critical role focused on runtime architecture, concurrency, and scalable execution.

You will make architectural decisions that directly impact how our systems execute, scale, and remain stable under load.

Responsibilities:

• Architect high-performance systems and leverage AI to implement them in Rust.

• Build and optimise core runtime, networking, or state management components.

• Profile and improve performance both at low-level (CPU, memory) and cluster-scale (network, scheduling).

• Debug race conditions, deadlocks, and production performance issues.

• Contribute to architectural decisions around scheduling, synchronisation, and system scalability.

• Own systems end-to-end from design through production.

About You:

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

• 2+ years of experience building systems-level or performance-critical software.

• Strong proficiency in systems programming and leveraging AI to build software.

• Deep understanding of concurrency, CPU architecture, cache hierarchy, and operating systems.

• Experience designing or contributing to low-level storage, compute, or network infrastructure.

• Strong intuition for striking a pragmatic balance between complexity for performance and simplicity for robustness.

• Experience using low-level profiling and debugging tools in production environments.

• Interest in working on distributed and execution-layer systems.

XML job scraping automation by YubHub

You will define and execute the technical strategy for infrastructure reliability and scalability, build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy, lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes, identify, instrument, and eliminate systemic failure patterns, design and implement high-leverage systems software in Python and Rust, and push the state of the art in large-scale GPU cluster operations and AI workload reliability.

To succeed in this role, you will need 5+ years shipping production software and/or operating distributed infrastructure at scale, expert-level knowledge of Linux systems, TCP/IP networking, and systems programming, strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++, deep experience with large-scale distributed systems in on-prem and cloud environments, hands-on expertise with container orchestration, container runtimes, and infrastructure-as-code, intimate understanding of common failure modes in distributed systems and how to mitigate them, and a track record of participating in (or building) effective on-call rotations in high-stakes environments.

In addition to a competitive base salary, you will receive equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

You'll be instrumental in shaping architectures optimized for resource-constrained environments, ensuring seamless communication and compute across our distributed network. You will be responsible for building the team's culture, driving execution, and ensuring software quality and mission success.

A Note on This Role: This is an Engineering Manager role focused on both technical (opinionated about architecture, reliability, performance and quality, especially for low-level systems programming and distributed edge deployments) and non-technical (people, process, and project leadership).

Responsibilities

• Lead & Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.
• Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.
• Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.
• Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.
• Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.
• Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design. Assist engineers in solving complex reliability, performance, and operational issues inherent in distributed, real-time systems.
• Quality & Process Ownership: Champion best practices in software design, code reviews, testing for embedded deployments, and CI/CD processes to ensure robust, scalable, and maintainable systems that are mission-ready.
• Cross-Functional Collaboration: Work closely with technical peers and other teams to support system integration, resolve technical challenges, and continuously improve operational workflows.
• People Development: Invest in the professional growth of your team through coaching, feedback, and structured career development plans. Cultivate a “whatever it takes” mindset and promote extreme ownership.
• Operational Insight: Occasionally travel (up to 10% of the time) to work alongside teammates and observe systems in real-world operational settings, ensuring that software solutions address actual field challenges.

Requirements

• 3+ years of experience as a software engineering manager, with a proven record of building and leading high-performing teams.
• 8+ years of hands-on software development experience, demonstrating a strong technical foundation in building resilient, high-performance software for distributed edge systems, networked applications, and Embedded Linux environments.
• Demonstrated expertise in C++ or Rust (or both), with a deep understanding of systems programming principles, memory management, concurrency, and performance optimization for resource-constrained environments.
• Successful track record of delivering complex software projects under tight deadlines while managing stakeholder relationships in a matrixed organization.
• Excellent communication and leadership skills, with the ability to inspire and develop talented engineers.
• Expertise in agile development methodologies and process improvement.
• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferences

• Experience managing teams in mission-critical domains such as command and control, robotics, or defense applications.
• Familiarity with modern DevOps and CI/CD practices tailored for embedded and distributed deployments.
• Background in developing software for distributed systems, connected ecosystems and hardware integrations.
• Direct experience in IoT device management, telemetry, and secure over-the-air (OTA) update mechanisms is highly valued.
• Experience working within or closely with multi-domain operation teams.
• A deep understanding of networking, security, and system integration challenges in high-stakes environments.
• Familiarity with low-level hardware interactions, device drivers, or firmware development is a strong plus.

XML job scraping automation by YubHub

You'll develop CoreWeave's storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and most innovative AI workloads in the world.

This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems, especially focusing on low level storage details that improve performance and durability.

Who You Are:

• Bachelor’s, Master’s, or PHD degree in Computer Science, Engineering, or a related field.
• 8–10+ years of experience working in storage systems engineering.
• Strong hands-on experience with object storage, block storage or distributed filesystems in production environments.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.
• Familiarity with the trade offs between HDD and SSD based storage systems.

The base salary range for this role is $206,000 to $303,000.

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

XML job scraping automation by YubHub

We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads.

The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.

Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.

The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.

As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.

If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.

• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.

• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.

• Participate in efforts to improve the reliability, durability, and observability of our storage stack.

• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.

• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.

• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 10+ years of experience working in storage systems engineering or infrastructure.

• Strong hands-on experience with object storage or distributed filesystems in production environments.

• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.

• Proficiency in a systems programming language such as Go, C++, or Rust.

• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).

• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.

• Strong debugging and problem-solving skills in distributed, high-performance environments.

• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

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 a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 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.

California Consumer Privacy Act - California applicants only

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: careers@coreweave.com.

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.

XML job scraping automation by YubHub

Location: Seattle, Washington, United States

Department: Connected Warfare : Edge Compute & Communications Engineering : ECC

As an Engineering Manager for the Edge Compute and Communication group, you will lead a high-performing team that leverages cutting-edge technologies like Rust and C++ to deliver complex, high-impact software systems that operate with extreme efficiency and reliability at the tactical edge.

Responsibilities:

• Lead & Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.

• Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.

• Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.

• Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.

• Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.

• Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design.

• Quality & Process Ownership: Champion best practices in software design, code reviews, testing for embedded deployments, and CI/CD processes to ensure robust, scalable, and maintainable systems that are mission-ready.

• Cross-Functional Collaboration: Work closely with technical peers and other teams to support system integration, resolve technical challenges, and continuously improve operational workflows.

• People Development: Invest in the professional growth of your team through coaching, feedback, and structured career development plans.

• Operational Insight: Occasionally travel (up to 10% of the time) to work alongside teammates and observe systems in real-world operational settings, ensuring that software solutions address actual field challenges.

Required Qualifications:

• 3+ years of experience as a software engineering manager, with a proven record of building and leading high-performing teams.

• 8+ years of hands-on software development experience, demonstrating a strong technical foundation in building resilient, high-performance software for distributed edge systems, networked applications, and Embedded Linux environments.

• Demonstrated expertise in C++ or Rust (or both), with a deep understanding of systems programming principles, memory management, concurrency, and performance optimization for resource-constrained environments.

• Successful track record of delivering complex software projects under tight deadlines while managing stakeholder relationships in a matrixed organization.

• Excellent communication and leadership skills, with the ability to inspire and develop talented engineers.

• Expertise in agile development methodologies and process improvement.

• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferred Qualifications:

• Experience managing teams in mission-critical domains such as command and control, robotics, or defense applications.

• Familiarity with modern DevOps and CI/CD practices tailored for embedded and distributed deployments.

• Background in developing software for distributed systems, connected ecosystems and hardware integrations.

• Direct experience in IoT device management, telemetry, and secure over-the-air (OTA) update mechanisms is highly valued.

• Experience working within or closely with multi-domain operation teams.

• A deep understanding of networking, security, and system integration challenges in high-stakes environments.

• Familiarity with low-level hardware interactions, device drivers, or firmware development is a strong plus.

US Salary Range $191,000-$253,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.

• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.

• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependent

XML job scraping automation by YubHub

This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Within the Product Security team, our Red Team delivers robust security assurance for Okta's products, services, and infrastructure. You will be the team's dedicated infrastructure and tooling engineer, the first person in this role for a small team of operators. You will work alongside operators but not report through an operator chain; you'll collaborate as a peer focused on a different discipline.

We seek a Staff Security Infrastructure Engineer to own the engineering backbone that enables our operations. This is not a traditional operator role but a dedicated infrastructure, tooling, and automation engineering position embedded within the Red Team.

You will design, build, maintain, and continuously improve the platforms, infrastructure, and custom tooling that our operators depend on to execute engagements. Your work directly enables the team to operate at a higher maturity level: faster infrastructure deployment, more resilient and OPSEC-aware architecture, automated workflows, and reliable custom tooling, freeing operators to focus on the mission.

Your role will also extend to cultivating stakeholder collaboration and elevating our company’s security posture through strategic engagement and proactive measures. As the team matures, this role can evolve toward platform leadership, custom capability development, or a hybrid operator/engineer path.

Responsibilities

Infrastructure Engineering & Automation:

• Own the full lifecycle of red team infrastructure: design, provisioning, configuration, maintenance, and teardown
• Build and maintain Infrastructure-as-Code (IaC) using Terraform (or equivalent) to automate deployment of C2 servers, redirectors, phishing infrastructure, payload-delivery systems, and supporting services.
• Resource and asset lifecycle management through tracking domains, certificates, cloud accounts, recurring expenses, and infrastructure resources; managing acquisition, rotation, and retirement.

Tooling Development & Maintenance:

• Develop, maintain, and improve custom tools, scripts, and automation to support red team operations (e.g., payload generation pipelines, log aggregation, C2 profile management, infrastructure health checks), providing on-demand infrastructure/tooling support when issues or gaps arise.
• Collaborate closely with operators during engagement planning to understand infrastructure requirements, OPSEC constraints, and operational timelines.
• Building and maintaining a representative test environment for pre-operation validation of tools and tradecraft against a security stack similar to the target.
• Maintaining the team's source code repository with merge/pull request processes, documentation, and code quality standards.
• Ensuring engagement evidence, infrastructure logs, and operational data are centrally collected and accessible for reporting and after-action reviews.
• Contribute to and maintain metrics that demonstrate infrastructure maturity, operational efficiency, and readiness (e.g., deployment time, rebuild time, infrastructure availability during engagements).

Security & OPSEC:

• Design infrastructure with OPSEC as a first-class requirement: network segmentation, traffic separation between operations, credential management, and access controls
• Implement and manage secure access to red team infrastructure
• Create and update operational runbooks, infrastructure documentation, and SOPs for the team.
• Maintain clear records of infrastructure ownership and attribution to support deconfliction processes.

Requirements

• 5+ years of professional experience in infrastructure engineering, DevOps, platform engineering, or a similar role with significant automation responsibilities
• Strong familiarity with Terraform (or equivalent IaC tooling) for multi-cloud infrastructure provisioning and management
• Experience operating in cloud-native, SaaS, or identity-focused environments
• Strong proficiency with configuration management tools (Ansible, or equivalent)
• Proficiency in at least one systems programming or scripting language (Python, Go, Bash) with disciplined development practices (version control, code review, testing, documentation)
• Solid understanding of Linux systems administration, networking fundamentals (DNS, HTTP/S, TCP/IP, proxying, TLS), and cloud platforms (AWS, GCP, or Azure)
• Understanding of OPSEC principles as they apply to offensive infrastructure , you know why redirector chains, domain categorization, traffic separation, and certificate management matter.

Desired Qualifications

• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes) as applicable to tooling and lab environments
• Familiarity with C2 frameworks (Cobalt Strike, Mythic, Sliver, or similar) from an infrastructure and deployment perspective , you don't need to operate them, but you need to understand what operators need from the infrastructure
• Familiarity with detection evasion concepts as they relate to infrastructure (e.g., traffic shaping, hosting provider reputation, certificate transparency)

Nice to Have

• Working knowledge of Blue Team operations and related technologies
• Experience with security tool development (implant development, payload engineering, evasion tooling) , this role can grow in that direction
• Familiarity with Red Team maturity models and how infrastructure/tooling capabilities map to organisational maturity

Note: This is not an operator role. You will not be the person running hands-on-keyboard engagements as your primary function. While you may participate in operations to understand requirements or provide support, your core mission is ensuring the team's infrastructure, workflows, tooling, and automation are reliable, repeatable, and mature. You are the engineering foundation the operators build on.

#LI-TM #LI-Hybrid (P22302_3403905)

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This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet.

Responsibilities:

• Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)

• Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer

• Develop measured boot implementations and runtime integrity monitoring

• Create reference architectures and security requirements for bare-metal deployments

• Integrate security controls with infrastructure teams without impacting training performance

• Prototype and validate security mechanisms before production deployment

• Conduct firmware vulnerability assessments and penetration testing

• Build firmware analysis pipelines for continuous security monitoring

• Document security architectures and maintain threat models

• Collaborate with software and hardware vendors to ensure security capabilities meet our requirements

Who you are:

• 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)

• Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)

• Strong understanding of cryptographic protocols and hardware security modules

• Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation

• Proficiency in low-level programming (C, Rust, Assembly) and systems programming

• Knowledge of firmware vulnerability assessment and threat modeling

• Track record of designing security architectures for complex, distributed systems

• Experience with supply chain security

• Ability to work effectively across hardware and software boundaries

• Knowledge of NIST firmware security guidelines and hardware security frameworks

Strong candidates may also have:

• Experience with confidential computing technologies and hardware-based TEEs

• Knowledge of SLSA framework and software supply chain security standards

• Experience securing large-scale HPC or cloud infrastructure

• Contributions to open-source security projects (coreboot, CHIPSEC, etc.)

• Background in formal verification or security proof techniques

• Experience with silicon root of trust implementations

• Experience working with building foundational technical designs, operational leadership, and vendor collaboration

• Previous work with AI/ML infrastructure security

Annual Salary: $405,000-$485,000 USD

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Why work with us?

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

XML job scraping automation by YubHub

We are training some of the largest models in the world on the latest hardware across multiple environments. To do this reliably at xAI's pace, we need engineers who have battle-tested experience keeping massive distributed infrastructure up and running 24/7, including on-prem and cloud-based infrastructure.

You will own the availability, performance, and evolution of xAI's core compute, storage, and networking infrastructure. This is not an ops-only role , strong coding is a hard requirement. You will design, implement, and ship systems software, automation, and tooling in Python and/or Rust that directly impact training throughput and cluster utilization.

Responsibilities

• Define and execute the technical strategy for infrastructure reliability and scalability
• Build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy
• Lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes
• Identify, instrument, and eliminate systemic failure patterns (capacity, network, hardware, storage, software)
• Design and implement high-leverage systems software (daemons, controllers, schedulers, etc.) in Python and Rust.

Basic Qualifications

• 5+ years shipping production software and/or operating distributed infrastructure at scale
• Expert-level knowledge of Linux systems, TCP/IP networking, and systems programming
• Strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++.

Preferred Skills and Experience

• Significant contributions to large-scale GPU clusters or AI/ML infrastructure
• Experience in on-call rotations and incident response in high-stakes environments.

Compensation and Benefits

$180,000 - $400,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

Responsibilities:

• Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
• Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
• Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
• Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
• Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.

Basic Qualifications:

• Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
• Strong proficiency in systems programming languages such as C/C++ and Rust.
• Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
• Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.

Preferred Skills and Experience:

• Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.
• Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).
• Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.
• Familiarity with performance tools, tracing, and debugging in production distributed environments.

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up.

This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet.

What you'll do:

• Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)
• Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer
• Develop measured boot implementations and runtime integrity monitoring
• Create reference architectures and security requirements for bare-metal deployments
• Integrate security controls with infrastructure teams without impacting training performance
• Prototype and validate security mechanisms before production deployment
• Conduct firmware vulnerability assessments and penetration testing
• Build firmware analysis pipelines for continuous security monitoring
• Document security architectures and maintain threat models
• Collaborate with software and hardware vendors to ensure security capabilities meet our requirements

Who you are:

• 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)
• Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)
• Strong understanding of cryptographic protocols and hardware security modules
• Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation
• Proficiency in low-level programming (C, Rust, Assembly) and systems programming
• Knowledge of firmware vulnerability assessment and threat modeling
• Track record of designing security architectures for complex, distributed systems
• Experience with supply chain security
• Ability to work effectively across hardware and software boundaries
• Knowledge of NIST firmware security guidelines and hardware security frameworks

Strong candidates may also have:

• Experience with confidential computing technologies and hardware-based TEEs
• Knowledge of SLSA framework and software supply chain security standards
• Experience securing large-scale HPC or cloud infrastructure
• Contributions to open-source security projects (coreboot, CHIPSEC, etc.)
• Background in formal verification or security proof techniques
• Experience with silicon root of trust implementations
• Experience working with building foundational technical designs, operational leadership, and vendor collaboration
• Previous work with AI/ML infrastructure security

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.

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London, UK

Employment Type

Full time

Department

Scaling

About the Team

Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI.

Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability.

Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs.

About the Role

As a Training Runtime: Process Management Engineer, you will work on the software that ties thousands of computers together and exposes them as a unified system.

This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout.

You will work primarily in Rust, building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability.

Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don’t work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure.

We’re looking for people who love optimizing an end-to-end platform, understanding high-performance architectures to maximize both local and distributed performance across our supercomputers. We’re looking for engineers excited by the rapid pace of responding to the dynamic and evolving needs of our training runtime and compute stack.

This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Work across our Python and Rust stack
• Design, build, and maintain software to orchestrate and monitor machine learning workloads on our largest supercomputers
• Profile and optimize our software stack to support computation orchestration at frontier scale
• Improve reliability, observability, and fault tolerance for long-running jobs
• Debug complex distributed systems issues across large clusters
• Respond to the changing shapes and needs of the ML systems to enable our researchers

You might thrive in this role if you:

• Have experience developing distributed systems (not just operating them)
• Enjoy understanding how large systems behave and fail at scale
• Care deeply about performance, correctness, and reliability
• Have strong software engineering skills and are proficient in Python and Rust or another systems programming language (e.g. C++)
• Have solid Linux knowledge, and are comfortable with systems-level debugging, performance analysis, and memory profiling
• Are comfortable and experienced working and developing asynchronous and concurrent systems
• Like high-ownership environments with light process and strong engineering agency

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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Software Engineer, Hardware

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $266K – $455K • 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.

• 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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

As a software engineer on the Scaling team, you’ll help build and optimize the low-level stack that orchestrates computation and data movement across OpenAI’s supercomputing clusters. Your work will involve designing high-performance runtimes, building custom kernels, contributing to compiler infrastructure, and developing scalable simulation systems to validate and optimize distributed training workloads.

You will work at the intersection of systems programming, ML infrastructure, and high-performance computing, helping to create both ergonomic developer APIs and highly efficient runtime systems. This means balancing ease of use and introspection with the need for stability and performance on our evolving hardware fleet.

This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available.

In this role, you will:

• Design and build APIs and runtime components to orchestrate computation and data movement across heterogeneous ML workloads.

• Contribute to compiler infrastructure, including the development of optimizations and compiler passes to support evolving hardware.

• Engineer and optimize compute and data kernels, ensuring correctness, high performance, and portability across simulation and production environments.

• Profile and optimize system bottlenecks, especially around I/O, memory hierarchy, and interconnects, at both local and distributed scales.

• Develop simulation infrastructure to validate runtime behaviors, test training stack changes, and support early-stage hardware and system development.

• Rapidly deploy runtime and compiler updates to new supercomputing builds in close collaboration with hardware and research teams.

• Work across a diverse stack, primarily using Rust and Python, with opportunities to influence architecture decisions across the training framework.

You might thrive in this role if you:

• Have a deep curiosity for how large-scale systems work and enjoy making them faster, simpler, and more reliable.

• Are proficient in systems programming (e.g., Rust, C++) and scripting languages like Python.

• Have experience in one or more of the following areas: compiler development, kernel authoring, accelerator programming, runtime systems, distributed systems, or high-performance simulation.

• Are excited to work in a fast-paced, highly collaborative environment with evolving hardware and ML system demands.

• Value engineering excellence, technical leadership, and thoughtful system design.

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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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • 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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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.

More details about our benefits are available to candidates during the hiring process.

About the Team

We are the Online Storage team powering ChatGPT, Sora, and the OpenAI APIs. We’re a growing team set up to own the databases and online‑storage infrastructure that serve all our products.

About the Role

As OpenAI scales, we’re seeking experienced, problem‑solving engineers to build robust, high‑performance, and scalable database systems. Our ability to rapidly iterate on products while ensuring reliability and speed is key to our success.

You’ll work in a fast‑paced, collaborative environment, building systems that serve hundreds of millions of users globally, with a strong emphasis on safety, reliability, and performance.

In this role, you will:

• Design and build highly scalable, reliable, and performant database

• Design and build highly simple and intuitive APIs for the underlying database

• Analyze and resolve performance and scalability bottlenecks to improve overall system efficiency

• Debug, instrument, and fix system issues — from pinpointing root causes to delivering long-term solutions

• Define technical strategy and guide the development of robust infrastructure that supports high-scale production systems and evolving business needs

• Collaborate closely with product teams to deeply understand requirements and deliver impactful solutions

• Boost engineering productivity by building intuitive tools and systems that empower fellow developers

• Own the reliability of the systems you build, including participating in an on-call rotation to address critical incidents

You might thrive in this role if you:

• Have experience building (and rebuilding) production systems to support new product capabilities and growing scale

• Care deeply about the end-user experience and take pride in solving real customer needs

• Embrace a humble, collaborative mindset and go the extra mile to support your teammates and the broader mission

• Own problems end-to-end — you’re comfortable learning on the fly to fill gaps and get things done

• Build internal tools that improve workflows when off-the-shelf solutions fall short

• Have hands-on experience with distributed systems such as data storage, caching, search, or other backend infrastructure components

• Prioritize the reliability, scalability, and performance of large-scale systems

• Thrive in ambiguous, fast-paced environments and enjoy iterating rapidly on product and research initiatives

Qualifications:

• 4+ years of industry experience, including 2+ years leading large-scale, complex projects or technical initiatives as an engineer or tech lead

• Strong passion for building distributed systems at scale, with a focus on reliability, scalability, security, and continuous improvement

• Expertise in systems programming, with hands-on experience in multi-threading and concurrency; proficiency in C++ and/or Python is highly preferred

• Preferably, domain experience in areas such as databases, large-scale data systems, storage, caching, search, or other core components of distributed infrastructure

• Excellent communication skills, with the ability to build consensus across diverse technical and non-technical stakeholders

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Location

Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • 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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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.

More details about our benefits are available to candidates during the hiring process.

About the Team

We are the Online Storage team powering ChatGPT, Sora, and the OpenAI APIs. We’re a growing team set up to own the databases and online‑storage infrastructure that serve all our products.

About the Role

As OpenAI scales, we’re seeking experienced, problem‑solving engineers to build robust, high‑performance, and scalable database systems. Our ability to rapidly iterate on products while ensuring reliability and speed is key to our success.

You’ll work in a fast‑paced, collaborative environment, building systems that serve hundreds of millions of users globally, with a strong emphasis on safety, reliability, and performance.

In this role, you will:

• Design and build highly scalable, reliable, and performant database

• Design and build highly simple and intuitive APIs for the underlying database

• Analyze and resolve performance and scalability bottlenecks to improve overall system efficiency

• Debug, instrument, and fix system issues — from pinpointing root causes to delivering long-term solutions

• Define technical strategy and guide the development of robust infrastructure that supports high-scale production systems and evolving business needs

• Collaborate closely with product teams to deeply understand requirements and deliver impactful solutions

• Boost engineering productivity by building intuitive tools and systems that empower fellow developers

• Own the reliability of the systems you build, including participating in an on-call rotation to address critical incidents

You might thrive in this role if you:

• Have experience building (and rebuilding) production systems to support new product capabilities and growing scale

• Care deeply about the end-user experience and take pride in solving real customer needs

• Embrace a humble, collaborative mindset and go the extra mile to support your teammates and the broader mission

• Own problems end-to-end — you’re comfortable learning on the fly to fill gaps and get things done

• Build internal tools that improve workflows when off-the-shelf solutions fall short

• Have hands-on experience with distributed systems such as data storage, caching, search, or other backend infrastructure components

• Prioritize the reliability, scalability, and performance of large-scale systems

• Thrive in ambiguous, fast-paced environments and enjoy iterating rapidly on product and research initiatives

Qualifications:

• 4+ years of industry experience, including 2+ years leading large-scale, complex projects or technical initiatives as an engineer or tech lead

• Strong passion for building distributed systems at scale, with a focus on reliability, scalability, security, and continuous improvement

• Expertise in systems programming, with hands-on experience in multi-threading and concurrency; proficiency in C++ and/or Python is highly preferred

• Preferably, domain experience in areas such as databases, large-scale data systems, storage, caching, search, or other core components of distributed infrastructure

• Excellent communication skills, with the ability to build consensus across diverse technical and non-technical stakeholders

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What you'll do

• Lead a team of senior generalist engineers, fostering a collaborative, solutions-focused environment.
• Plan and execute major technical changes while maintaining a stable live-service codebase.

What you need

• Technical expertise: Deep C/C++ and systems programming knowledge; strong focus on performance and optimization.

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