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Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior Infrastructure Engineer to join our Engineering Team. Key Responsibilities Linux System Administration: Operate and maintain Linux infrastructure based on Debian and Rocky Linux. Virtualization & Cluster Management: Operate and maintain Proxmox VE clusters and virtual machines. Virtual Machine Lifecycle: Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning. System Updates & Upgrades: Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades. Production Maintenance Planning: Plan and execute infrastructure maintenance activities in production environments. Data Protection & Disaster Recovery: Manage VM/server backup and restore processes and validate recovery procedures. Infrastructure Troubleshooting: Troubleshoot infrastructure issues across compute, storage, operating systems, and networking. Automation & Scripting: Automate repetitive operational tasks using Ansible and scripting. Infrastructure Migrations: Participate in infrastructure migrations and production changes. Change Management & Risk Mitigation: Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes. Requirements 5+ years of hands-on experience with Linux infrastructure. Strong knowledge of Debian / Rocky Linux . Hands-on production experience with Proxmox VE , KVM/QEMU and Proxmox clusters. Good understanding of cluster concepts including quorum, Corosync and failure scenarios . Strong practical experience with ZFS , including pools, datasets, snapshots, replication, disk replacement and failure recovery. Experience with VM migration and live migration. Experience performing Linux and Proxmox updates/upgrades. Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo. Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics. Hands-on experience with backup and restore, including recovery after VM or server failures. Understanding of backup, snapshot and replication concepts. Experience with Proxmox Backup Server or similar solutions. Practical experience with Ansible , Bash and Git. Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues. Nice to Have Experience with shared or distributed storage systems , such as Ceph, SAN, iSCSI, NFS or similar solutions. Python. Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana. Experience with physical servers and data center hardware. Hardware RAID / HBA. IPMI / iDRAC / iLO. Experience participating in disaster recovery or infrastructure migration projects. Soft Skills Strong ownership and responsibility. Careful approach to production changes. Ability to troubleshoot complex infrastructure issues independently. Good documentation and communication skills. Focus on automation, reliability and operational simplicity. Benefits Enjoy 5 health days to focus on your well-being. Take advantage of 25 paid calendar vacation days to explore, relax, and unwind. Get a $30 net per month sports compensation to stay active and healthy. Benefit from top-notch medical insurance for peace of mind. Indulge in a variety of snacks available in the office. Join us for exciting corporate events that foster team spirit and fun!

Location: Tbilisi, Georgia; Yerevan, Armenia; Kazakhstan; Uzbekistan As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior Infrastructure Engineer to join our Engineering Team. Key Responsibilities Linux System Administration: Operate and maintain Linux infrastructure based on Debian and Rocky Linux. Virtualization & Cluster Management: Operate and maintain Proxmox VE clusters and virtual machines. Virtual Machine Lifecycle: Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning. System Updates & Upgrades: Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades. Production Maintenance Planning: Plan and execute infrastructure maintenance activities in production environments. Data Protection & Disaster Recovery: Manage VM/server backup and restore processes and validate recovery procedures. Infrastructure Troubleshooting: Troubleshoot infrastructure issues across compute, storage, operating systems, and networking. Automation & Scripting: Automate repetitive operational tasks using Ansible and scripting. Infrastructure Migrations: Participate in infrastructure migrations and production changes. Change Management & Risk Mitigation: Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes. Requirements 5+ years of hands-on experience with Linux infrastructure. Strong knowledge of Debian / Rocky Linux . Hands-on production experience with Proxmox VE , KVM/QEMU and Proxmox clusters. Good understanding of cluster concepts including quorum, Corosync and failure scenarios . Strong practical experience with ZFS , including pools, datasets, snapshots, replication, disk replacement and failure recovery. Experience with VM migration and live migration. Experience performing Linux and Proxmox updates/upgrades. Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo. Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics. Hands-on experience with backup and restore, including recovery after VM or server failures. Understanding of backup, snapshot and replication concepts. Experience with Proxmox Backup Server or similar solutions. Practical experience with Ansible , Bash and Git. Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues. Nice to Have Experience with shared or distributed storage systems , such as Ceph, SAN, iSCSI, NFS or similar solutions. Python. Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana. Experience with physical servers and data center hardware. Hardware RAID / HBA. IPMI / iDRAC / iLO. Experience participating in disaster recovery or infrastructure migration projects. Soft Skills Strong ownership and responsibility. Careful approach to production changes. Ability to troubleshoot complex infrastructure issues independently. Good documentation and communication skills. Focus on automation, reliability and operational simplicity. Benefits Remote work opportunity. Flexible working schedule. Interesting product. Learning opportunities. Career growth prospects.

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior Infrastructure Engineer to join our Engineering Team. Key Responsibilities Linux System Administration: Operate and maintain Linux infrastructure based on Debian and Rocky Linux. Virtualization & Cluster Management: Operate and maintain Proxmox VE clusters and virtual machines. Virtual Machine Lifecycle: Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning. System Updates & Upgrades: Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades. Production Maintenance Planning: Plan and execute infrastructure maintenance activities in production environments. Data Protection & Disaster Recovery: Manage VM/server backup and restore processes and validate recovery procedures. Infrastructure Troubleshooting: Troubleshoot infrastructure issues across compute, storage, operating systems, and networking. Automation & Scripting: Automate repetitive operational tasks using Ansible and scripting. Infrastructure Migrations: Participate in infrastructure migrations and production changes. Change Management & Risk Mitigation: Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes. Requirements 5+ years of hands-on experience with Linux infrastructure. Strong knowledge of Debian / Rocky Linux . Hands-on production experience with Proxmox VE , KVM/QEMU and Proxmox clusters. Good understanding of cluster concepts including quorum, Corosync and failure scenarios . Strong practical experience with ZFS , including pools, datasets, snapshots, replication, disk replacement and failure recovery. Experience with VM migration and live migration. Experience performing Linux and Proxmox updates/upgrades. Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo. Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics. Hands-on experience with backup and restore, including recovery after VM or server failures. Understanding of backup, snapshot and replication concepts. Experience with Proxmox Backup Server or similar solutions. Practical experience with Ansible , Bash and Git. Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues. Nice to Have Experience with shared or distributed storage systems , such as Ceph, SAN, iSCSI, NFS or similar solutions. Python. Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana. Experience with physical servers and data center hardware. Hardware RAID / HBA. IPMI / iDRAC / iLO. Experience participating in disaster recovery or infrastructure migration projects. Soft Skills Strong ownership and responsibility. Careful approach to production changes. Ability to troubleshoot complex infrastructure issues independently. Good documentation and communication skills. Focus on automation, reliability and operational simplicity. Benefits Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate. Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off. Get legal support for obtaining a local work/residence permit. Prioritize your health with compensation for wellness activities. Experience an international work environment with a passionate, motivated, and professional team. We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan. Invest in your growth using professional development compensation. Boost your energy and morale with complimentary snacks available in the office. Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.

Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Data Engineering intern who has a passion for technology, an interest in financial markets, and the enthusiasm to contribute to our U.S. equities and options exchanges. This internship position will be offered as hybrid with 2 days in-person at our co-working office in Midtown-NYC. *MEMX has currently approved ONLY the following states for remote work: California, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Work alongside MEMX’s technology team on data engineering projects that support our exchanges Help collect, organize, and validate data used for reporting and analysis Assist with building and improving data processes and tolls, with projects tailored to your skills and the team’s needs Collaborate with colleagues to solve problems, share ideas, and communicate your findings Gain hands-on experience in a growing exchange and see how your work contributes to the broader business Requirements Current undergraduate student entering their junior or senior year, pursuing a degree Computer Science, Computer Engineering, Data Engineering, Electrical Engineering, or a related field Experience with technical projects through coursework, internships, or personal work Ability to communicate technical ideas and work collaboratively with a team Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience working with data that supports MEMX’s exchanges Exposure to how data is collected, organized, and used for reporting an analysis Mentorship and guidance from experienced data engineers Opportunities to collaborate with technology teams across MEMX and connect with fellow interns Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer An intern cohort: Connect with interns working across other MEMX teams Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs Pay Rate: $30/hourly for undergraduate students Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. ABOUT THE ROLE As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$327.6K– CA$468K OTE + equity United States: $226.1K – $323K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You’ll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You’ll make sure teams have trustworthy data that scales with our growth, and you’ll lead your own projects to enable self-serve insights that help teams make data-driven decisions. Key responsibilities Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems Define success metrics for billing systems, and build the data models and monitoring to track them Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data Share on-call and data operations responsibilities for Finance Data Engineering pipelines Build dashboards and self-serve data products that track core metrics and deliver insights across the company Promote best practices for dbt, data modeling and SQL Influence the Billing Engineering roadmap from a data systems perspective Build a thorough understanding of our data models and data architecture Minimum qualifications Experience as a Data Engineer, Analytics Engineer or in a similar role Experience with SQL and Python, and building multi-step data pipelines with tools like dbt Experience with workflow orchestration tools like Airflow, and version control with GitHub Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams Ability to prioritize and deliver practical solutions quickly Willingness to solve problems end to end, including work beyond the original scope Ability to define next steps and keep work moving when requirements are unclear Interest in Anthropic’s mission of building safe and beneficial AI Preferred qualifications 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation Experience building an analytics or data engineering function from an early stage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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. 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a 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.

Location: Palo Alto, United States 📍 Location: Palo Alto, CA 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 5+ years of experience in post-silicon characterization, high-speed I/O (HSIO) validation, or memory electrical validation. Hands-on experience characterizing high-speed SerDes PHYs , particularly PCIe. Experience measuring eye diagrams, jitter, bit error rate (BER), and S-parameters . Proficiency with high-speed oscilloscopes, bit error rate testers (BERT), and VNA/TDR equipment. Ability to read and interpret schematics and PCB layouts. Experience debugging electrical issues directly at the probe point. Python scripting experience for laboratory test automation. Background in semiconductor, silicon, or systems companies, including SoC, GPU, networking, storage, or automotive compute. Must be willing to work on-site in Palo Alto, CA . About the Role We are seeking a hands-on PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes physical-layer interfaces in a laboratory environment. The role focuses on conducting high-speed electrical measurements, analyzing signal integrity, and validating silicon performance. You will independently operate laboratory equipment, troubleshoot signal-level issues, interpret hardware schematics and PCB layouts, and automate characterization workflows using Python. The successful candidate will have direct experience with high-speed interface characterization and the practical skills needed to investigate electrical performance issues at the measurement and probe points. What We’re Looking For We’re looking for an experienced post-silicon characterization or HSIO validation engineer with strong hands-on laboratory skills and practical knowledge of high-speed electrical measurements. The ideal candidate can independently perform eye, jitter, BER, and S-parameter measurements; operate high-speed test equipment; interpret schematics and layouts; and troubleshoot signal integrity issues directly in the lab. Strong candidates will combine experience with PCIe and SerDes interfaces, high-speed measurement instrumentation, electrical debugging, and Python-based lab automation . Key Responsibilities Post-Silicon Characterization & Validation Perform post-silicon electrical characterization of high-speed SerDes PHYs, including: PCIe Ethernet UFS LPDDR5 Support high-speed interface validation and investigate electrical performance issues. Analyze characterization results to assess high-speed interface performance. Identify and troubleshoot signal-level issues during testing. High-Speed Electrical Measurements Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements . Independently operate laboratory measurement equipment, including: High-speed oscilloscopes Bit error rate testers (BERT) Vector network analyzers (VNA) Time-domain reflectometry (TDR) equipment Analyze measurement data to evaluate electrical performance and signal integrity. Document test configurations, measurement results, and characterization findings. Schematic Analysis & Electrical Debugging Read and interpret electrical schematics and PCB layouts to support characterization activities. Troubleshoot signal integrity and electrical issues directly at probe points. Investigate measurement anomalies and high-speed interface performance problems. Apply practical electrical measurement and debugging techniques to identify potential issues. Python Lab Automation Develop and maintain Python scripts to automate laboratory measurements and characterization workflows. Support repeatable and efficient execution of electrical tests. Improve laboratory testing efficiency through reusable automation scripts. Assist with measurement data collection, analysis, and documentation. Cross-Functional Validation Support Support high-speed interface validation activities across relevant silicon and systems platforms. Collaborate with engineering teams to investigate electrical performance issues. Communicate measurement findings, debugging results, and characterization progress. Maintain clear technical documentation of test procedures, configurations, and results. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, or memory electrical validation. Experience working at a semiconductor, silicon, or systems company in areas such as SoC, GPU, networking, storage, or automotive compute. Hands-on experience with high-speed SerDes PHY characterization. Practical experience measuring eye diagrams, jitter, BER, and S-parameters. Proficiency using high-speed oscilloscopes, BERT, and VNA/TDR equipment. Experience reading and interpreting schematics and PCB layouts. Strong laboratory debugging and electrical measurement skills. Python scripting experience for test and measurement automation. Strong analytical, troubleshooting, and problem-solving abilities. Willingness to work on-site in Palo Alto, CA. Preferred Qualifications Experience with PCIe electrical characterization and validation . Exposure to Ethernet, UFS, or LPDDR5 interfaces. Experience with high-speed signal integrity measurements and analysis. Background in silicon validation for SoC, GPU, networking, storage, or automotive-compute products. Experience developing reusable automation scripts and improving laboratory test efficiency.

Location: United States Location: Palo Alto, CA (On-site) Job Type: Contract Job Overview We are seeking an experienced PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes PHYs. This role involves hands-on laboratory testing, electrical measurement, signal integrity analysis, and debugging of high-speed interfaces across PCIe, Ethernet, UFS, and LPDDR5 technologies. The ideal candidate has a strong background in post-silicon characterization or high-speed I/O (HSIO) validation, with practical experience using advanced lab equipment and developing Python scripts for test automation. Key Responsibilities Perform post-silicon electrical characterization of high-speed SerDes PHYs and memory interfaces. Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements. Operate high-speed oscilloscopes, bit error rate testers (BERT), vector network analyzers (VNA), and TDR equipment. Analyze schematics and PCB layouts to identify signal integrity issues and support electrical debugging. Perform hands-on troubleshooting and debug at the probe point to isolate and resolve hardware-level issues. Develop and maintain Python scripts for laboratory test automation, data collection, and analysis. Analyze characterization results, document findings, and collaborate with cross-functional engineering teams to improve interface performance. Support validation activities for high-speed interfaces, including PCIe, Ethernet, UFS, and LPDDR5. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, SerDes validation, or memory electrical validation. Hands-on experience characterizing high-speed electrical interfaces in a semiconductor or systems engineering environment. Proficiency with high-speed oscilloscopes, BERT, VNA, and/or TDR measurement equipment. Practical experience measuring and analyzing eye diagrams, jitter, BER, and S-parameters. Ability to read and interpret schematics and PCB layouts for hardware-level debugging. Experience with Python scripting for laboratory automation and test data analysis. Strong troubleshooting, analytical, and problem-solving skills. Ability to work on-site in Palo Alto, California. Preferred Qualifications Experience with PCIe, Ethernet, UFS, LPDDR5, or other high-speed SerDes and memory interfaces. Background working with SoCs, GPUs, networking hardware, storage systems, or automotive computing platforms. Experience with signal integrity analysis and post-silicon hardware validation. Previous experience in semiconductor, silicon design, or systems companies. Ideal Candidate Profile Candidates with titles such as PCIe Characterization Engineer, Signal Integrity Engineer, HSIO Validation Engineer, Post-Silicon Validation Engineer, or SerDes Validation Engineer are encouraged to apply. Candidates currently based in the San Francisco Bay Area are strongly preferred due to the on-site nature of the position.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to teams creating products, games and experiences enjoyed by fans around the world. One application. Many ways to play. Apply once to this general application for consideration for anticipated 2027 IT & Software internships in Renton, Washington. This is not one specific vacancy. Projects are confirmed on a rolling basis, and one application puts you in consideration across multiple opportunities with participating teams and brands. You do not need to submit separate applications for each team or brand. If your profile aligns with a specific internship project, a recruiter may contact you directly with details and next steps. Applying does not guarantee an interview or placement. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. Teams and areas you may support Depending on confirmed projects and business needs, your internship could align to one or more areas such as: Software and application engineering Data engineering, analytics and AI enablement Cybersecurity and risk Cloud, infrastructure and platform engineering Enterprise systems and business technology Quality engineering, automation and technical product support Examples of what you may work on Depending on your placement, you may: Design, build, test or improve software, data products, automations or internal tools. Translate a user or business need into clear technical requirements and a practical solution. Debug issues, review data, document decisions and contribute to reliable, secure systems. Collaborate through code reviews, agile rituals, demos and feedback with technical and non-technical partners. Explore emerging technologies, including AI, and apply them responsibly where they improve the work. Own a defined project or feature and share the outcome with teammates and leaders. What you bring You are currently enrolled in a university degree program in Computer Science, Software Engineering, Information Systems, Data Science, Cybersecurity, Computer Engineering or a related degree program. Growing proficiency in at least one relevant language, platform or technical discipline. Logical problem-solving, curiosity and willingness to learn unfamiliar tools. Ability to communicate technical ideas, ask for feedback and work collaboratively. Interest in accessibility, security, privacy, reliability and responsible technology practices. Work samples: No portfolio is required. A GitHub profile, technical portfolio, hackathon, research or class project is welcome but optional. Application routing: If your primary interest is shaping gameplay mechanics, systems, levels or player progression rather than building the underlying technology, apply to Digital Game Design instead. Find your party: your global intern community Level up together. All interns join one global cohort connected through shared, structured onboarding and weekly learning and development. Own meaningful work tied to real business priorities, with mentorship and feedback Build career skills through brand immersion and conversations with leaders Connect with peers through networking and social experiences Volunteer and give back alongside the intern community Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the internship. We generally prioritize students entering the final year of their degree after the internship. Students at other eligible stages, including those with approximately two academic years remaining, are also encouraged to apply. Eligibility is based on program stage, not age. You can commit to the full program schedule and work model for the assigned location. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome; previous internship experience is not required. If this work excites you but you do not match every preferred skill, we still encourage you to apply. We value potential, curiosity, willingness to learn and different paths to the same capability. Program details Program dates and length: June - August (10–12 WEEKS) Schedule: Full-time, 40 hours per week Work model: Most internships follow a hybrid schedule with three days per week in the office. Select roles may require five days per week onsite. The project-specific schedule will be shared before interviews. Locations: Renton, Washington. Opportunities may support Hasbro or Wizards of the Coast teams, depending on confirmed projects and business needs. Application deadline: APPLICATIONS WILL BE REVIEWED ON A ROLLING BASIS from October to March, as needed. Pay and benefits This is a paid internship. Hourly rates vary by degree level and year in school. Renton hourly range: $44 - 46 Relocation: Assistance is available to candidates who meet the applicable distance and other eligibility criteria. What happens after you apply Our Early Careers team reviews applications as internship projects are confirmed. If your profile aligns with a project, a recruiter will contact you with the specific team, project, location, work model, dates and pay. Selected candidates will interview with the hiring team. Timing may vary by project, so please keep your contact information and availability current. If another function more closely matches your skills and interests, we may consider you for it with your permission. You do not need to submit a duplicate application. Work authorization Applicants must be legally authorized to work in the United States. The Company is unable to provide immigration sponsorship for this position. Equal opportunity and accommodations Hasbro is committed to equality of opportunity in all aspects of employment. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state or local law. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the application and interview process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $44 — $46 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Paris Workplace: Remote ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM You will be a part of a team of 5 engineers, working on the gaming backend platform. This team collaborates closely with all departments of the company, including Core Gaming, Live Gaming and Engineering & Data. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps. This team is a crucial part of Voodoo’s transition from Hyper-Casual games to Hybrid, Casual & Mid-Core. The backend platform has helped big titles like Mob Control https://apps.apple.com/us/app/mob-control/id1562817072 & Block Jam 3D https://play.google.com/store/apps/details?id=com.partyup.blockjam&hl=en_US achieve amazing growth. In the next phase of evolution, we want to scale this platform to our upcoming promising titles. The objective is to scale the most common features as well as develop new features based on studios'. This position can be fully remote in any EU country. ROLE You will work on the backend platform supporting highly scalable mobile games, played by millions of people every day. You will work closely with client-developers & game designers starting from feature design to delivery, validation, and iteration. The responsibilities are cross-functional, ranging from infrastructure, API design & coding all the way to client-side integration (we are using Golang). To succeed in this role, you will need to have passion for everything you do. You love to write code that scales to millions of users, are skilled at requirements gathering, champion new tech initiatives & leverage existing solutions. - 7+ years of backend development experience - Strong knowledge of computer science fundamentals - Extreme fluency in Golang - Mastery of SQL and NoSQL - Background in high-scale systems - Understanding of Unix-like environments - Experience working in cross-functional agile teams PROFILE - Strong analytical skills with a track record of solving complex problems related to scalability, performance, and integration in high-stakes environments. - Excellent interpersonal and communication skills, capable of influencing teams and interfacing effectively with various stakeholders. - Ability to be self sufficient and work autonomously. - A deep interest in game development is a plus. BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a Senior Technical Program Manager. Role Overview: We are seeking a Senior Technical Program Manager to join a growing Security team, with a focus on program delivery, driving portfolio management and operating model practices for Backblaze. Key Responsibilities: Lead end-to-end planning and execution of enterprise programs from initiation through delivery Communicate technical concepts and program status clearly to both technical teams and non-technical stakeholders Develop and maintain detailed program plans, timelines, budgets, and resource allocation across multiple concurrent initiatives Identify, track, and mitigate program risks and dependencies, escalating blockers to leadership with clear options and recommendations Drive cross-functional coordination between engineering, product, legal, and third-party vendors to ensure security controls are implemented on schedule Establish and report on program goals, dashboards, and status updates for executive and board-level audiences Support incident response coordination, including post-incident reviews and follow-up action tracking Foster a culture of transparency and trust, apply lean value-driven approach, manage by influence, support and empower technical teams through servant leadership In partnership with other TPMs, participate in implementation of continuous cross-functional process improvement initiatives Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience); Master's degree a plus 8+ years of technical program management experience Strong understanding of program management methodologies. Ability to adapt agile management principles to a variety of development environments ScrumMaster certification a plus Proven ability to manage multiple complex, cross-functional programs simultaneously in a fast-paced environment Excellent written and verbal communication skills, with the ability to translate technical risk into business impact for executive audiences Strong analytical and risk-assessment skills, with experience using program management and ticketing tools Demonstrated ability to build trust and influence without direct authority across engineering, legal, and executive teams High attention to detail, sound judgment under pressure, and comfort operating with ambiguity during active incidents Experience with Atlassian & Google product suites a plus Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US- based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $130,000 - $150,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio- economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice

Location: Prague; Belgrade; Serbia - Remote; Cyprus - Remote; Limassol; Toronto; Canada - Remote Workplace: hybrid As the only company focused 100% on Java, Azul is building the Java platform for the modern cloud enterprise. We are reimagining how customers use Java, bringing them the tools and insight they need to deliver faster, more performant, more dependable, and less expensive Java services. Come join one of the most influential members of the Java and OpenJDK community and help influence the future of Java. Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Compiler Performance Engineer to make Falcon generate even faster code. This is not a compiler front end role and not a compiler built from scratch: the compiler exists, runs in production at large enterprises, and your job is to find where the generated code is slower than it should be and fix it in the optimizer and code generator. You will join a distributed team of compiler experts and work on real workloads with direct, measurable impact on customer performance. What You Will Do Analyze performance of Java benchmarks and customer workloads, find gaps in generated code and trace them to their root cause in the compiler Implement and improve optimizations in Falcon's middle end and back end: inlining, loop optimizations, vectorization, redundancy elimination, speculative optimizations and their interaction with the runtime Improve code generation for x86_64 and AArch64 Write tests and benchmarks that prove the improvement and protect it from regressions Contribute changes upstream to LLVM where it makes sense Minimum Requirements 2+ years of professional experience in compilers, JIT compilers or low level performance engineering Strong C++ design and coding skills Solid understanding of compiler optimization theory: SSA, data flow analysis, loop transformations Ability to read assembly and reason about why one instruction sequence is faster than another Nice to Have Experience with LLVM IR and LLVM optimization passes, or with another optimizing compiler such as HotSpot C2, Graal, GCC or V8 Experience with profilers such as perf, VTune or async profiler Knowledge of x86_64 and/or AArch64 microarchitecture Experience with Java, Scala or Kotlin, or with JVM internals MSc or PhD in Computer Science with a compiler or performance focus What We Offer Opportunity to make a high impact at a growing, global company Work alongside top experts worldwide contributing to the Java ecosystem Referral Program — help us grow with great people Premium IT equipment — MacBook Pro or hardware of your choice Competitive paid holidays and sick time Flexible working hours Remote first OR Prague / Limassol / Belgrade city center offices OR hybrid - UP TO YOU! Competitive compensation

Location: Prague; Belgrade; Serbia - Remote; Cyprus - Remote; Limassol; Toronto; Canada - Remote Workplace: hybrid As the only company focused 100% on Java, Azul is building the Java platform for the modern cloud enterprise. We are reimagining how customers use Java, bringing them the tools and insight they need to deliver faster, more performant, more dependable, and less expensive Java services. Come join one of the most influential members of the Java and OpenJDK community and help influence the future of Java. Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Senior Compiler Performance Engineer to own major performance areas of Falcon. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. Your job is to push its generated code further, deciding which optimizations matter, designing them and delivering measurable speedups on real workloads. You will work in a distributed team of compiler experts, with direct influence on what Falcon optimizes next. What You Will Do Own performance of Falcon for a set of workloads or an optimization area end to end: analysis, design, implementation, validation Design and implement new optimizations and improve existing ones in the middle end and back end: inlining heuristics, loop optimizations, vectorization, escape analysis, speculation and deoptimization, GC barrier and runtime call optimization Drive code generation quality on x86_64 and AArch64, including bringing Falcon to new hardware platforms Investigate complex performance issues reported by customers and turn findings into compiler improvements Review code, mentor engineers on the team and raise the bar for performance methodology Minimum Requirements 5+ years of professional experience developing optimizing compilers or JIT compilers Strong C++ design and coding skills in large codebases Proven track record of delivering compiler optimizations with measurable performance impact Deep knowledge of compiler optimization theory and its practical tradeoffs: compile time, code size, correctness Strong performance analysis skills: profilers, hardware counters, reading and reasoning about generated assembly Nice to Have Significant experience with LLVM optimization passes or code generation; LLVM commit access is a plus Experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar Deep knowledge of x86_64 and/or AArch64 microarchitecture Experience with JVM internals: garbage collection, deoptimization, profiling PhD in Computer Science or significant research experience in compilers What We Offer Opportunity to make a high impact at a growing, global company Work alongside top experts worldwide contributing to the Java ecosystem Referral Program — help us grow with great people Premium IT equipment — MacBook Pro or hardware of your choice Competitive paid holidays and sick time Flexible working hours Remote first OR Prague / Limassol / Belgrade city center offices OR hybrid - UP TO YOU! Competitive compensation

-Разрабатывать, поддерживать и масштабировать backend-решения для высоконагруженных корпоративных систем наших клиентов. -Высшее профильное образование (Computer Science, IT, прикладная математика или смежные технические направления).

The CTO will define everything around it, bring the first clusters into production and build the services that turn physical capacity into a platform customers can actually use. - Hands-on experience treating servers, GPUs, fabric and storage as one system, and taking clusters from delivery to production, not just overseeing vendors.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across CEE. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the CEE market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across CEE. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across CEE business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the CEE enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the CEE market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in CEE Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR 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. 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a 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.

Location: Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Paris; Amsterdam; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will lead the team building our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you own it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. WHAT YOU WILL DO - Own the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.