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Location: Canada Role overview: We are seeking an experienced Electrical Power System Engineer to support the concept, detailed design, analysis, verification and integration of electrical power subsystems (solar arrays, power-conditioning units, batteries, distribution & regulation) for our current and next-generation remote sensing and communications satellites. The role works closely with payload, bus, thermal, structural and mission-systems multidisciplinary teams responsible for delivering high-performance, reliable EPS solutions to commercial, government, and defense customers. Tasks summary: Architecture Concept & Requirements • Define EPS architecture (generation, storage, distribution) that satisfies mission power budget, mass, volume and reliability constraints. • Perform trade-studies (e.g., solar cell type, battery chemistry, regulator topology). • Generate system requirements, functional flow block diagrams. • Develop the Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Detailed Design & Analysis • Size solar arrays, power-conditioning units, battery packs, and power distribution units. • Build and validate high-fidelity electrical models for satellite modes, FMECA, Fault detection… • Conduct & maintain power budget models, load-flow, thermal-power coupling, and survivability analyses (e.g., eclipse, safe-mode, fault-tolerant). Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Interface with spacecraft bus teams (power, thermal, structure, avionics). • Develop/maintain high-fidelity power models for mission analysis (e.g., orbit raising, station-keeping, de-orbit). • Develop tools for power efficiency & optimisation for the satellite. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit & EPS subsystem tests. • Support ground-test & integration campaigns, fueling, thermal vacuum, EMI/EMC, and spacecraft-level integration. • Analyse test data, close out anomalies, and update design baselines. • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain design and safety standards. • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator trainings. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of EPS system design experience on LEO/MEO platforms. • Deep knowledge of spacecraft bus subsystems and their interactions. • Experience with power‑electronics design and power management hardware. • Strong understanding of aerospace system engineering fundamentals • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA • Demonstrated capability to efficiently work with little supervision • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across APAC. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Set the direction for Data Foundations. Turn ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability—and align engineers and partner teams around it. - Build and develop a high-performing team. Attract strong engineers, set clear expectations, grow technical leaders, and create an environment of ownership, direct feedback, and accountability. - Lead the team’s hardest initiatives from idea to operation. Ensure complex work has strong technical ownership, de-risk architectures through prototypes, break work into shippable milestones, and coordinate execution across engineers and teams. - Make Notion’s data platform enterprise-ready. Guide the team toward durable foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for every requirement. - Raise reliability, simplicity, and cost efficiency. Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale. - Multiply the engineering organization. Establish reusable abstractions and paved paths, delegate meaningful ownership, raise the quality of technical decisions, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration. SKILLS YOU'LL NEED TO BRING: - Deep data-platform expertise. You have designed and operated large-scale batch and streaming systems and can reason across storage, compute, ingestion, orchestration, serving, governance, and production operations. - Direction-setting leadership. You have led a Data Platform or infrastructure team through multi-quarter work—finding the right problems, defining a strategy, sequencing execution, and driving decisions with long-term consequences. - Team-building and talent development. You have attracted strong engineers, grown people across career stages, developed technical leaders, and created clarity when expectations or performance needed to change. - Hands-on engineering judgment. You stay close to critical systems and designs and know when to prototype, simplify, buy, build, or migrate. You can go deep while preserving ownership for the engineers leading the work. - Platform-product thinking. You understand the needs behind partner requests and turn repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions. - Organizational influence. You create clarity across team boundaries, surface uncomfortable technical or organizational risks early, and help engineers do their best work through strong context, delegation, feedback, and coaching. - You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively. THE SYSTEMS AND PROBLEMS YOU MAY LEAD - Evolving Notion’s data lake toward an S3 + Iceberg lakehouse with stronger governance, discoverability, schema evolution, and lifecycle controls - Scaling Kafka and Debezium-based streaming infrastructure that powers real-time product, analytics, and AI use cases - Improving Spark and distributed-compute performance, workload isolation, developer experience, and cost efficiency - Designing EKM, data residency, and compliant processing capabilities across Notion’s data estate - Creating clear platform interfaces and self-serve primitives for Data Engineering, Search, AI, and product teams WHY THIS ROLE MATTERS Notion’s data infrastructure is no longer only an internal analytics layer. It increasingly powers customer-facing features, AI systems, enterprise controls, and high-volume product workflows. The team needs a leader who can see across these systems, build the technical leadership and operating culture required for that responsibility, and find the problems that matter before they become roadmap blockers. Success means Data Foundations has a strong, growing team with clear direction and dependable execution—and teams across Notion can build ambitious data-powered products faster without compromising customer trust. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $281,000 - $334,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Brownsville, WI Corporate Office  ; Green Bay, WI  ; Madison, WI  ; Milwaukee, WI  ; Neenah, WI Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Senior Data Engineer can change yours. The Senior Data Engineer builds the trusted data foundation that powers analytics, reporting, operational insight, and AI across the Michels Family of Companies. As a senior individual contributor on the Enterprise Intelligence team, this person builds and operates lakehouse pipelines and reusable data products and helps shape the engineering standards that turn raw source data into valuable, durable enterprise assets. This is a hands-on role that owns complex work from design through production support and helps a lean team scale through patterns, automation, and observability. This role mentors engineers and provides technical leadership within delivery work. This role reports to the IT Manager, Data Platform & Engineering and is a member of the Information Technology organization. Key Responsibilities: Build and maintain batch, streaming, and event-driven ingestion pipelines that reliably connect enterprise source systems to the lakehouse. Develop transformation logic and orchestrated workflows that turn raw source data into usable, governed datasets. Design and optimize data assets that support analytics, operational reporting, downstream applications, and AI-ready consumption. Instrument pipelines and data products with validation checks, monitoring, and alerting so data and pipeline issues are detected and resolved quickly. Tune pipeline, storage, and compute workloads for performance, scalability, and cost efficiency. Establish engineering standards and reference architectures that allow a lean team to scale responsibly. Lead technical design reviews and mentor engineers through pairing, code review, and technical guidance. Qualifications: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands-on experience. 5+ years of production experience in data engineering, data platform engineering, analytics engineering, software engineering, or a related discipline. Proven experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery. Proficiency with SQL, Python, Spark or similar distributed processing frameworks, and modern engineering practices including version control, automated testing, CI/CD, and streaming ingestion. Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Warsaw Workplace: OnSite Role Highlights: - Title: AIT Engineering Team Lead - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Warsaw, Poland - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: ICEYE is seeking a Team Lead, AIT Engineering to lead the AIT Engineering function responsible for the assembly, integration, and testing of satellite systems and optical payloads. This is a technical leadership and people management role in an early-stage production environment, where products, processes, and manufacturing capabilities are continuously evolving. You will lead and develop the AIT Engineering team while acting as the technical focal point for AIT activities during spacecraft builds and integration campaigns. The role sits at the interface between Engineering and Production. You will work closely with optical, mechanical, electrical, systems, quality, and production teams to translate design intent into robust, manufacturable, integrable, and testable processes, while ensuring that feedback and issues identified during production are effectively driven back into Engineering. You will also support the integration and validation of externally supplied optical payloads, working with internal engineering teams and external suppliers to ensure successful integration into the satellite platform. The role requires a strong background in spacecraft AIT, system integration, or complex hardware integration, combined with the ability to lead people, coordinate technical activities, develop robust processes, and drive execution in a fast-paced production environment. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. What you will do - Lead and develop the AIT Engineering team, providing technical direction, mentoring, and clear priorities. - Lead the assembly, integration, and testing of spacecraft systems, acting as the technical focal point during spacecraft builds. - Support the integration and validation of externally supplied optical payloads into the spacecraft platform. - Combine technical leadership with hands-on involvement in spacecraft integration, testing, troubleshooting, and verification. - Ensure AIT readiness before builds, including tools, GSE, procedures, documentation, hardware, and engineering support. - Drive structured problem-solving and root cause analysis of integration and test issues, ensuring lessons learned are fed back into Engineering and production. - Act as the bridge between Production and Engineering, translating design requirements into practical, manufacturable, and testable integration processes. - Work closely with Systems, Mechanical, Electrical, Optical, Quality, Manufacturing, and external suppliers to resolve integration challenges. - Define and continuously improve AIT processes, procedures, test methods, tooling, fixtures, and technical documentation. - Support production ramp-up by improving integration efficiency, repeatability, reliability, and scalability. - Mentor engineers and build strong technical capabilities within the AIT organization. What we’re looking for Must haves: - 5+ years of hands-on experience in spacecraft AIT, system integration, testing, or production of complex hardware systems. - Strong experience with spacecraft integration and system-level testing across multiple engineering disciplines. - Experience with optical systems, optomechanics, optical payloads, or Earth Observation systems. - Experience working with complex precision hardware in cleanroom or controlled environments. - Strong system-level understanding across mechanical, electrical, optical, and systems engineering. - Experience with DFM / DFT principles and translating design requirements into manufacturable and testable solutions. - Experience with AIT processes, test procedures, verification, and technical documentation. - Experience with GSE, tooling, fixtures, or test setups used for integration and testing. - Strong troubleshooting skills, including structured root cause analysis and corrective actions. - Experience working with MES, ERP, test data management, or similar production systems. - Experience with Lean manufacturing or continuous improvement methodologies. - Strong understanding of configuration-controlled production and engineering environments. - Strong communication and stakeholder management skills. - Strong written and spoken English. Nice-to-haves: - Experience with optical alignment and metrology, including focus, tilt, centering, boresight, interferometry, collimators, or MTF. - Experience supporting environmental testing, such as thermal vacuum, vibration, or EMC. - Experience working with external suppliers or partners, particularly payload suppliers. - Experience supporting products from prototype through production ramp-up. - Experience with PDR, CDR, PRR, or equivalent technical and production readiness reviews. - Experience with PFMEA, process capability, or other manufacturing engineering tools. - Experience in Lean manufacturing, industrialization, or production scale-up. Application Process - Talent Acquisition interview - Hiring manager interview - Technical interview, including a technical challenge - Hiring team + director-level interview - Offer Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hyderabad, India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across APAC. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. You’re welcome to work on-site in Hyderabad, India. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Keenable создает поисковую инфраструктуру для AI-агентов. Требования: — Опыт с distributed systems — Опыт с production infrastructure — Опыт с Rust Информация о компании: — Ко-фаундер — Андрей Стыскин, ex CEO Яндекс Поиск и ex Director of Web Information Services в Amazon — Размер команды — 11-50 — Инвестиции — $26M

Требования: — 5+ лет опыта — опыт с высоконагруженными системами — опыт с Rust — опыт с Tokio — опыт с Linux Позиция в топовую проприетарную трейдинговую компанию Формат работы: удалённо.

Location: Москва Мы - команда GigaChat Pretrain Data, готовим pretrain данные для GigaChat и GigaChat Vision. Pretrain данные - это фундамент, с которого начинается путь современной LLM модели и то, от чего наиболее зависит ее итоговое качество. Сырых данных более 40Пб и основная задача заключается в том, чтобы из этого хаоса сделать датасет, на котором будет обучена лучшая LLM в России. Обязанности * генерировать синтетические данные: математика, код, произвольная синтетика с сидами - документами из Web * исследовать токенизацию и ее влияние на качество модели (возможно написание статей) * решать задачи кластеризации миллиардов документов * исследовать разные факторы, которыми обладают текстовые данные * генерировать Vision данные для прокачки VLM * разрабатывать новые алгоритмы парсинга HTML и исследовать его влияние на качество модели * исследовать зависимости между pretrain данными и agentic capabilities итоговой модели * разрабатывать стабильную инфраструктуру, которая будет поддерживать проведение сотен и тысяч экспериментов над данными. Требования * имеешь коммерческий релевантный опыт связанный с NLP или построением инфраструктуры для данных от двух лет. Будет плюсом: * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации * опыт с MapReduce системами. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы (2 дня в офисе, 3 дня на удалёнке) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * льготная программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own build, deployment and infrastructure for scientific software that runs in awkward places — customer premises, restricted laboratory networks, air-gapped sites, and our own cloud. The role combines conventional cloud platform engineering with the harder problem of shipping updatable software into environments we do not control. Responsibilities Pillar 1 Deployment and Delivery Own build, CI/CD and release for the platform across cloud and on-premise targets. Build and maintain installers and update paths that work in restricted and offline environments. Manage database migration and rollback paths for customer installations. Success Metrics and KPIs: release frequency, failed deployments, time to patch a customer site. Pillar 2 Infrastructure Run the Kubernetes and GitOps side of the platform. Own secrets management, access control and infrastructure-as-code. Implement monitoring and log aggregation across internal and customer environments. Integrate with Constructor's platform, identity and deployment tooling. Success Metrics and KPIs: uptime, mean time to detect, infrastructure reproducible from code. Pillar 3 Security and Governance Introduce static analysis and dependency and licence scanning into the pipeline. Own backup, recovery and continuity for the platform. Support audit and compliance requirements from funded research and customer contracts. Accountability: no single undocumented dependency on one person, including yourself. Requirements Experience Strong AWS or equivalent, Kubernetes, and configuration management such as Ansible, at production scale. Real experience of on-premise and offline deployment, not only cloud. CI/CD pipeline ownership end to end Skills & Competencies Autonomous and proactive. You have carried infrastructure alone. Willing to hand knowledge over rather than hold it. Interested in the product and the science, not only the pipeline. Clear communicator in English. Education & Languages Degree in computer science or engineering, or equivalent practical track record. Fluent English. What This Role Is (and Is Not) This role IS Full ownership of infrastructure for a technically unusual product. A role where you finally get a team around you. Exposure to a broad modern stack. This role is NOT A pure cloud or pure on-premise role. A ticket-driven operations role. A role without contact with the product.

Требования: — 3-5 лет опыта работы в области ASIC Verification Engineering.

Задачи: – Разработка и оптимизация ETL-процессов с использованием Python и SQL. – Разработка и внедрение масштабируемых конвейеров обработки данных для обработки различных источников данных. – Работа с реляционными базами данных (например, PostgreSQL, Oracle) для обеспечения эффективного хранения и извлечения данных. – Оптимизация SQL-запросов и скриптов Python для повышения производительности и удобства сопровождения. – Внедрение надежной обработки ошибок, ведение журналов и мониторинг для конвейеров обработки данных. – Взаимодействие с межфункциональными командами для интеграции и управления источниками данных. Требования: – Более 5 лет опыта в области проектирования данных. – Навыки работы с Python и SQL на экспертном уровне – умение писать эффективный, масштабируемый и поддерживаемый код. – Обширный опыт в проектировании ETL-процессов и работе с большими массивами данных. – Глубокое понимание оптимизации производительности баз данных и оптимизации запросов. – Опыт работы с моделированием данных и проектированием схем. – Знание решений для облачного хранения данных (Azure, AWS или GCP). – Высокие навыки решения проблем и способность работать самостоятельно. – Желательно: опыт работы с PySpark, оркестраторами и знание CI/CD для автоматизации процесса развертывания. Условия: – Полностью удаленная позиция с гибкими условиями работы.

42 — независимая AI research-лаборатория, создающая универсальные фундаментальные модели для прогнозирования и принятия решений в сложных, быстро меняющихся системах. Стек: Go, Rust, Kafka, Postgres, ClickHouse. Амстердам, Нидерланды. Помощь с переездом.

Задачи: — Проектировать и строить инфраструктурные примитивы, определяющие масштабирование CI/CD платформы, систем сборки и сред разработки по всей инженерной организации. — Помогать строить и эксплуатировать Kubernetes-контрольную плоскость для CI/CD платформы, включая инфраструктуру self-hosted раннеров GitHub Actions (автомасштабирование, изоляция, оптимизация затрат и производительности), GitHub Apps и GitHub-as-code (права доступа, вебхуки, автоматизация на уровне организации), безопасный сетевой доступ для CI/CD и удалённых сред разработки (Tailscale), GitOps-деплой платформенных сервисов (Flux), эфемерные/по требованию среды разработки и системы сборки. — Разрабатывать ключевые инфраструктурные компоненты, включая Kubernetes Operators и автомасштабирование, которые напрямую используют продуктовые команды, снижая необходимость в индивидуальных CI/CD и средах. — Не заниматься операционной поддержкой, а создавать системы, определяющие процесс сборки, тестирования и деплоя, формируя надёжность и масштабируемость опыта разработчиков в организации. Требования: — 6–9+ лет опыта в SRE, платформенной или инфраструктурной инженерии. — Подтверждённый опыт масштабирования Kubernetes в высоконагруженных продуктивных средах. — Глубокие знания Kubernetes, включая внутренние механизмы, поведение планировщика, кастомные ресурсы и диагностику сбоев на уровне кластера. — Опыт создания платформенной инфраструктуры, контрольных плоскостей или Kubernetes Operators, а не только их использования. — Сильный опыт распределённых систем и обеспечения надёжности в продуктиве. — Владение Terraform и GitOps, включая проектирование и сопровождение автоматизации, а не только выполнение сценариев. — Опыт работы с GitOps-подходами (Flux, ArgoCD). — Практический опыт масштабных CI/CD платформ: GitHub Actions (self-hosted раннеры, workflows-as-code), GitHub Apps, системы сборки. — Опыт работы с AWS и облачной инфраструктурой в продуктиве. — Владение Go (предпочтительно) или другим системным языком. Условия: — Удалённая работа из Канады. — Зарплата от 90 000 до 125 000 USD в год.

Требования к кандидату: - 6+ years commercial Data Engineering - Enterprise-scale data pipelines & platforms - Microsoft Azure data services - Azure Databricks + Apache Spark - Azure Data Factory - Microsoft Fabric + modern cloud analytics - Azure Data Lake (ADLS) or equivalent - Strong SQL + ETL/ELT - Medallion architecture + reusable frameworks - CI/CD & DevOps (Azure DevOps preferred)