Задачи:
— Частичная занятость в AI-first продукте.
— Тестирование готовых продуктов и функций: ручное тестирование и работа поверх существующего автотест-фреймворка (unit-тесты, интеграционные тесты, Playwright со скриншотами и ИИ-визуальным контролем).
— Поиск, приоритизация багов, их отладка и исправление в коде.
— Доработка существующих, но недоделанных или низкокачественных фич.
— По мере роста доверия — разработка новых фич по готовым ТЗ (в рамках агентного кодинга).
— Работа с беклогом — разгребание накопленных задач.
Требования:
— AI-first мышление: решение задач через ИИ-инструменты, умение формулировать короткие задачи/промпты и работать совместно с моделью.
— Понимание границ применимости ИИ и где эффективнее делать руками.
— Практический опыт работы с агентным кодингом (Claude Code, Codex или аналоги).
— Техническая грамотность: понимание Git-репозитория, процесса разработки, концепций Playwright/автотестов.
— Понимание дисциплины продакшн-разработки (безопасность, нагрузка, качество кода).
— Понимание или готовность быстро разобраться в QA-процессах (тест-кейсы, баг-репорты).
— Самостоятельность и ориентация на результат.
Желательно:
— Опыт с китайскими моделями (DeepSeek, Kimi и т.п.).
— Опыт в QA: тест-кейсы, баг-репорты, автотесты.
— Знание Node.js/TypeScript (стек компании) — плюс.
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.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
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 and New York, the estimated base salary range for this role is $130,000-$150,000.
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: San Francisco, California
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.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact.
WHAT YOU’LL ACHIEVE
- Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback.
- Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
- Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
- Build internal tools and platform improvements that help all engineers ship quickly and safely.
- Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
AREAS YOU MIGHT WORK ON
- Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value.
- Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation.
- Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
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 or New York City, the estimated salary range for this role is $130,000 - $150,000
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.
Задачи:
— Проектировать и разрабатывать ETL/ELT пайплайны по цепочке Source → ODS → DDS → витрины данных.
— Строить витрины и схемы под аналитику и отчётность; оптимизировать SQL (индексы, партиционирование, предикативный pushdown).
— Настраивать доступ к данным через федеративные SQL-движки, REST/JSON API, батч- и файловые выгрузки, асинхронную обработку тяжёлых выборок.
— Вести пайплайны в Airflow с инкрементальной загрузкой, идемпотентностью и контролем качества данных (DQ).
— Вести каталог данных, глоссарий и data lineage; следить за согласованностью источников.
— Доводить задачи до прода в GitOps-флоу (GitLab CI + ArgoCD), контейнеризация (Docker / K8s).
Требования:
— Уверенный Python и очень уверенный SQL (оконные функции, оптимизация запросов).
— Опыт построения ETL/ELT-пайплайнов и оркестрации (Airflow или аналог).
— Понимание моделирования данных и хранилищ (DWH / DataMart, слои ODS/DDS, нормализация, партиционирование).
— Опыт с реляционными и аналитическими СУБД (PostgreSQL; плюсом — Vertica / Trino / ClickHouse).
— Понимание Git, CI/CD и контейнеризации (Docker), базовое понимание Kubernetes.
— Внимание к качеству данных, идемпотентности и инкрементальной загрузке.
— Интерес к финансовому домену: транзакции, отчётность, регуляторные данные, справочники.
Плюсом будет:
— Федеративные движки (Trino / Presto), каталоги данных и data lineage (OpenMetadata / DataHub). GitOps (ArgoCD), стриминг (Kafka), dbt, IaC.
— Опыт с финансовыми и регуляторными данными, витринами для отчётности, безопасностью данных.
— Базовое понимание LLM/RAG (эмбеддинги, retrieval) — как смежное направление команды.
Условия:
— Работа с современным data-стеком в финансовом домене национального масштаба.
— Менторство и турбо-рост в команде, которая катает продукты в прод каждый месяц.
— ДМС для вас и членов семьи.
— Оплачиваемый отпуск и 100% официальное оформление.
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents.
Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role.
If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation.
Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model.
Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix.
Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed.
Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle.
During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams.
Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead.
Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift.
Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability.
Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions.
Publish health reports of critical apps periodically.
Qualifications:
Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry.
4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment.
Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths.
Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts.
Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs.
Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences.
Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues.
Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity.
Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required.
Nice to Have:
Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring).
Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end.
Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents.
Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets.
JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues.
ITIL Foundation certification is a plus but not required — practical experience matters more.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally.
Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Costa Mesa, United States
WHAT YOU'LL DO
Aerodynamic design of unmanned air vehicles/missiles at conceptual, preliminary, and detail design maturities
Aerodynamic analysis of unmanned air vehicles, using both low and high order methods,
including analysis tool development and improvement as needed
Stability and control analysis
Aircraft performance modeling and simulation
Aerodynamic loads generation
Wind tunnel test planning, execution, and analysis
Flight test planning, execution, and analysis
REQUIRED QUALIFICATIONS
BS or higher degree in Aerospace Engineering
3+ work experience as an individual contributing engineer
Experience with aircraft performance and analysis predictions
Competent in a variety of aerodynamic analysis techniques including hand calculations, vortex, lattice methods, panel methods, and computational fluid dynamics (CFD)
Wind tunnel and flight test experience including data acquisition, data analysis and project coordination
Strong programming skills in higher-level languages (e.g., MATLAB, Python) for internal tool development in a version-controlled environment
Experience preparing formal documentation (i.e., specifications, test procedures, technical reports, etc.)
Passion for defending the United States and her allies
Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
StarCCM+ experience
Ice accretion or icing analysis experience
Missile DATCOM, OTIS, or DYMOS
Experience with transonic and supersonic flow regimes
Active U.S. Secret security clearance
Location: Costa Mesa, United States
WHAT YOU’LL DO:
Develop and integrate hardware on unmanned air vehicles
Own designs from concept generation to real world use
Use first principles physics as a basis for every decision
Lead design reviews, run analysis, visit vendors, define and execute hardware test plans
Build prototypes, analyze failures, and transition successful projects into production
Support critical hardware demonstrations with customers as needed
Travel to test sites as needed
REQUIRED QUALIFICATIONS:
5+ years of mechanical engineering experience Advanced Air Vehicles Programs
Experience integrating electrical and mechanical subsystems into advanced air vehicles
Experience designing mechanical parts (CAD). Understanding of manufacturing methods (machining, sheet metal, composites, 3D printing, injection molding, composite lamination, etc)
High competence with, and fluid use of, engineering first principles
BS or higher degree in Mechanical, Aerospace, or Electrical Engineering
Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
Experience in NX/Teamcenter
Experience developing aircraft subsystem layouts, performing architectural trade studies, and evaluating vendor performance data
Competency in engineering analysis, including structural, thermal, and electrical
Location: Costa Mesa, United States
WHAT YOU’LL DO:
Utilize first principle methods and design tools to develop new aircraft products
Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing
Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination)
Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate
Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule
Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives
Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members
Onsite engineering support at manufacturing and integration sites
REQUIRED QUALIFICATIONS
B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience
5+ years of experience in aerospace or related industry
Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication
Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies
Proven ability to design high performance structures and execute their fabrication
Self-directed, results oriented, and capable of working in a dynamic environment
Excellent time management, organizational, and communication skills
Ability to obtain and maintain US DoD Secret Clearance or higher
PREFERRED QUALIFICATIONS
Experience with clean sheet aircraft configuration
Siemens NX proficiency
Experience with fast paced prototype design and manufacture of uncrewed aircraft
Experience with high temperature materials selection
Broad experience across a range of aircraft programs
Hands-on experience with manufacturing
Practical aircraft knowledge (pilots license, A&P, etc.)
Location: Costa Mesa, United States
WHAT YOU WILL DO
Full cycle PCB design including collecting requirements, schematic design, component selection, supervision or completion of layout, bring-up, test, debug, and system integration
Conduct bring-up and design work on microcontrollers, ensuring seamless integration within the system
Troubleshoot issues that span electrical and software boundaries, utilizing both lab equipment (Oscilloscopes, DMM, etc.) and basic software debugging tools}
ADDITIONAL LEARNING & DEVELOPMENT OPPORTUNITIES
Work in a fast-paced environment supporting new developments, deployments, and customer operated hardware
Perform power design, including development and integration of power management systems and components
Develop payloads and subsystems (sensors, payload interfaces, power management, and networking)
Create system interconnect diagrams and define wire harnesses that connect electronic equipment within a subsystem
Collaborate closely with other electrical, mechanical, software, firmware, and test engineers to deliver fully functional, mission-critical products
Conduct peer-level and cross-discipline design reviews
REQUIRED QUALIFICATIONS
Bachelor’s Degree in Electrical Engineering or equivalent, with 3+ years of experience designing, testing, and troubleshooting complex system designs
Ability to perform power system and electrical loading analysis, simulation, and testing to determine optimal solutions
High competence using lab test equipment (benchtop power supplies, electronics loads, oscilloscopes, DMM, logic/spectrum analyzers, etc.) with familiarity of thermal and EMI test chambers and using basic software debugging tools
Familiarity with common electrical bus interfaces (CAN, I2C, SPI, Ethernet, RS232/422, RS485, USB)
Exceptional organization and communication skills (both written and oral)
Eligible to obtain and maintain an active U.S. security clearance
Experience with power design and power management systems
Hands-on experience with microcontrollers, including bring-up and design work
Knowledge of modern analog and digital electronics and electronic circuits
Experience designing mixed-signal PCBs with multiple layer counts, layer stackup and impedance matching for power and sensor applications, understanding correct grounding approaches and employing appropriate board protections and filtering
Understanding of low voltage and high voltage power electronics and control systems in order to capture system interconnect diagrams and drive cable harnessing designs with proper wire and connector selection
PREFERRED QUALIFICATIONS
Familiar with high end consumer or military embedded systems design
Experience with power systems including batteries and AC power.
Develop low-level firmware for bring-up and test
Background in defense and missile systems.
Comprehensive understanding of the effects of temperature and vibration on electrical designs.
Location: Costa Mesa, United States
WHAT YOU’LL DO
Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs
Develop verification plans with traceability to system and hardware requirements
Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks
Build functional coverage models and drive code coverage analysis to closure
Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs
Establish and maintain regression suites, tracking coverage metrics and verification progress
Debug failures using waveform tools and simulation logs at the HDL and system level
Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement
Support hardware validation and board bring-up on target platforms
Ensure verification meets DO-254 and relevant safety standards
Author verification closure reports and coverage analysis summaries
REQUIRED QUALIFICATIONS
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field
2+ years of experience in FPGA/ASIC verification
Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches
Object-oriented programming principles
Industry simulators (Questa, VCS, Xcelium, or Vivado)
Git-based collaborative workflows including code review
Linux development environments
Strong communication and teamwork skills
Eligible to obtain and hold a U.S. Secret security clearance
PREFERRED QUALIFICATIONS
5+ years of experience in FPGA/ASIC verification
Master’s degree in Electrical Engineering, Computer Engineering, or related field
DO-254, avionics verification standards for UAS, and safety-critical verification processes
SVUnit or equivalent unit-testing frameworks
Formal verification or CDC verification tools
Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI
Verification automation scripting (Python, Tcl, Makefile)
SoC and ARM-based embedded platforms
Verification automation, CI/CD integration, and Nix-based build environments
Location: Costa Mesa, United States
WHAT YOU’LL DO:
Utilize first principle methods and design tools to develop new aircraft products
Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing
Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination)
Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate
Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule
Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives
Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members
Onsite engineering support at manufacturing and integration sites
REQUIRED QUALIFICATIONS
B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience
5+ years of experience in aerospace or related industry
Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication
Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies
Proven ability to design high performance structures and execute their fabrication
Self-directed, results oriented, and capable of working in a dynamic environment
Excellent time management, organizational, and communication skills
Ability to obtain and maintain US DoD Secret Clearance or higher
PREFERRED QUALIFICATIONS
Experience with clean sheet aircraft configuration
Experience with high temperature materials
Experience with thermal gradient structural analysis
Siemens NX proficiency
Experience with fast paced prototype design and manufacture of uncrewed aircraft
Experience with high temperature materials selection
Prior experience working in high speed programs
Hands-on experience with manufacturing
Practical aircraft knowledge (pilots license, A&P, etc.)
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
Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.
This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace.
Responsibilities
Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve
Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system
Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams
Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic
Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change
Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design
Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase
Help set technical standards and best practices for the team, and mentor other engineers
Minimum Qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Strong software engineering fundamentals and hands-on coding ability
Experience making architectural decisions that other engineers and teams build on top of
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Demonstrated ability to operate effectively in ambiguous, fast-changing environments
Strong candidates may also have
Experience building infrastructure or platforms specifically for research or machine learning workflows
Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems
Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy
Prior experience as a technical lead or mentor for other engineers
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:
$405,000
—
$625,000 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: Barcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Formal Verification (FV) Engineer to join one of our clients' teams.
Reporting directly to the Vector Unit Verification Lead, this is a highly technical Individual Contributor (IC) role. In this position, you will be the dedicated formal expert for the VU team, responsible for designing scalable formal testbenches, writing mathematical properties, and ensuring the absolute algorithmic and architectural integrity of our vector pipeline. You will work side-by-side with VU microarchitects to hunt down deep corner-case bugs and achieve formal sign-off on high-complexity arithmetic and execution blocks.
Key Responsibilities
Block-Level Execution & Convergence Engineering (90%)
End-to-End Testbench Ownership:
Design, deploy, and maintain robust formal verification environments for complex Vector Unit sub-blocks (e.g., Vector Execution Pipelines, Vector Register File/Rename interfaces, and Vector Floating-Point Units).
Datapath & Arithmetic Verification:
Implement advanced word-level modeling, bit-blasting, and algebraic rewriting strategies to verify complex IEEE-754 floating-point and integer vector arithmetic units.
Proof Convergence Management:
Independently diagnose and resolve proof-convergence failures, over-constraints, and state-space explosions using advanced reduction techniques (e.g., case-splitting, black-boxing, and abstraction modeling).
RISC-V Vector Compliance:
Develop formal environments to mathematically prove that the VU pipeline strictly complies with the RISC-V Vector (V) Extension specification.
Simulation Partnership:
Collaborate closely with VU simulation engineers to define a razor-sharp boundary between simulation and formal verification, ensuring maximum bug-hunting efficiency and zero coverage gaps.
Embedded Mentorship & Best Practices (10%)
Formal-Friendly Design:
Partner with VU microarchitects during early-stage RTL development to drive formal-friendly coding styles and structural design patterns.
SVA Propagation:
Review and refine SystemVerilog Assertions (SVA) written by design and simulation peers, establishing best practices for block-level assertions within the VU team.
Education:
B.S./M.S. in Computer Engineering, Electrical Engineering, or Computer Science with practical industry execution; or a Ph.D. with a research focus on formal methods or computer arithmetic.
Experience:
5+ years of production-grade hardware verification experience (or Ph.D. + 1–3 years) with a strong, proven track record of applying formal verification to CPU, GPU, or DSP execution pipelines.
Collaboration Style:
A self-driven engineer who enjoys deep mathematical puzzles, collaborates seamlessly within a localized block-level team, and can translate complex proof counter-examples into actionable bugs for designers.
Datapath Validation Focus:
Strong specialization in arithmetic formal verification, algebraic rewriting, and word-level modeling. Familiarity with control-path formal techniques (liveness, safety properties) is highly welcome.
Vector Microarchitecture:
Good working knowledge of high-width execution pipelines, vector execution units, or floating-point/integer arithmetic hardware. Experience with Out-of-Order execution mechanics is a plus.
Formal Tools:
Proficient command of commercial EDA formal tools (e.g., Cadence JasperGold/DPV, Synopsys VC Formal, Siemens OneSpin) and their specialized mathematical/datapath apps.
Languages:
Native fluency in SystemVerilog and SystemVerilog Assertions (SVA). Scripting proficiency (Python, Tcl, or Bash) for testbench automation.
Nice to Have
RISC-V Core Verification.
RISC-V Ecosystem:
Familiarity with the RISC-V Architecture, specifically the Vector (V) and Floating-Point (F/D) extension ecosystems.
Emulation platforms (Veloce, ZeBu).
Core/Bus interface protocols (e.g., AXI/CHI).
Задачи:
— Проектировать и развивать масштабируемый бэкенд для мобильного приложения.
— Реализовывать real-time коммуникации и геолокационные сервисы.
— Оптимизировать API для плавного и быстрого UX на мобильных устройствах.
— Принимать ключевые решения по стек-технологиям, инфраструктуре и процессам.
— Настраивать CI/CD, тестировать и разворачивать код без боли.
— Плотно работать в связке с мобильными разработчиками.
Требования:
— 5+ лет опыта в бэкенд-разработке (идеально — в highload/B2C мобильных приложениях).
— Сильный Java, понимание масштабируемых архитектур.
— Опыт работы с RESTful и WebSocket API.
— Отличное знание баз данных (PostgreSQL и гео-инструментов вроде PostGIS).
— Опыт с облаками (AWS / GCP / Azure) и Docker.
— Понимание безопасности: OWASP Top 10, GDPR/HIPAA.
— Английский от Upper-Intermediate (русский язык будет плюсом).
Будет плюсом:
— Сертификаты Java Oracle (OCA/OCP/OCM).
— Участие в Open Source.
Условия:
— Влияние на продукт: решения определят архитектуру глобального сервиса.
— Локация на выбор: гибрид в солнечной Лимасоле (Кипр) или удаленка из любой точки мира.
— Конкурентная зарплата и быстрый карьерный рост.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a
Big Data Platform Engineer
, you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously.
What You’ll Be Doing
Platform Core:
Design and operate large-scale distributed data systems
Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark)
Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy
Drive reliability and performance improvements across batch and real-time pipelines
AI Integration:
Build the AI-native platform layer
Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs
Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity
Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection
Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases
Tooling & DX:
Evolve the developer experience
Own the internal data development platform — IDE integrations, code review automation, deployment tooling
Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration
Collaborate with data warehouse and service teams to define platform contracts
Ops
& Governance:
Drive operational excellence
Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets
Build automated incident response and root-cause analysis pipelines
Define and enforce infrastructure policies across multi-cloud environments
AI Agent Ownership — Platform Tier
Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers
Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation
Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems
MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into
What We Look For In You
5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent)
Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive)
Strong software engineering skills in Java, Scala, or Python; experience with API-first design
Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents)
Solid understanding of multi-cloud architectures and cost governance
Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management
Experience with MCP or similar agent-tool frameworks is a strong plus
Passion for building systems that make other engineers 10x more productive
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Barcelona, Spain; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Bolzano, Italy; Rome, Italy; Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Darmstadt, Germany; Bramsche, Germany; Bielefeld, Germany; Bernau, Germany; Chemnitz, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Geoergsmarienhütte, Germany; Freiburg, Germany; Frankfurt, Germany; Essen, Germany; Atlanta, United States; Austin, United States; Boca Raton, United States; Boston, United States; Chicago, United States; Columbus, United States; Dallas, United States; Detroit, United States; Florida City, United States; Houston, United States; Los Angeles, United States; Kirkland, United States; Kansas City, United States; Indianapolis, United States; Miami, United States; Milwaukee, United States; Minneapolis–Saint Paul, United States; New York, United States; Newark, United States; Redmond, United States; Sacramento, United States; San Francisco, United States; San Jose, United States; Seattle, United States; St. Louis, United States; Richmond, United States; Vacaville, United States; Tampa, United States; Fatorda, India; Hyderabad, India; Bangalore, India; Mumbai, India; Pondicherry, India; Ahmedabad, India; Delhi, India; Batumi, Georgia; Tbilisi, Georgia; Antalya, Türkiye; Porto, Portugal; Lisbon, Portugal; Buenos Aires, Argentina
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
IP Verification Engineer
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Responsibilities:
Develop a verification plan based on the specification.
Build verification infrastructure for the block.
Develop tests, stimulus, and checkers based on the test plan.
Achieve 100% regression and functional coverage.
University degree in Electrical Engineering or a related field.
5+ years of experience in UVM-based verification of complex IPs.
Proficiency in developing verification environments from scratch.
Knowledge of AXI protocols.
Nice to have prior experience in verification of multicore designs.
УдалённоBarcelona, Spain; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Bolzano, Italy; Rome, Italy; Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Darmstadt, Germany; Bramsche, Germany; Bielefeld, Germany; Bernau, Germany; Chemnitz, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Geoergsmarienhütte, Germany; Freiburg, Germany; Frankfurt, Germany; Essen, Germany; Atlanta, United States; Austin, United States; Boca Raton, United States; Boston, United States; Chicago, United States; Columbus, United States; Dallas, United States; Detroit, United States; Florida City, United States; Houston, United States; Los Angeles, United States; Kirkland, United States; Kansas City, United States; Indianapolis, United States; Miami, United States; Milwaukee, United States; Minneapolis–Saint Paul, United States; New York, United States; Newark, United States; Redmond, United States; Sacramento, United States; San Francisco, United States; San Jose, United States; Seattle, United States; St. Louis, United States; Richmond, United States; Vacaville, United States; Tampa, United States; Fatorda, India; Hyderabad, India; Bangalore, India; Mumbai, India; Pondicherry, India; Ahmedabad, India; Delhi, India; Batumi, Georgia; Tbilisi, Georgia; Antalya, Türkiye; Porto, Portugal; Lisbon, Portugal; Buenos Aires, Argentina
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
As a Technical Expert, you will own the core build-out of the Operations Automation & Cloud Management Platform, focusing on the
unified management and intelligent orchestration of multi-cloud products
. By integrating with cloud provider APIs (Aliyun, AWS, Azure), the role builds full-lifecycle management capabilities across compute, storage, network, database, and middleware resources—combined with CMDB, Event Center, orchestration engines, and AI / LLM capabilities—to evolve from manual operations toward intelligent control and automated change, continuously improving operational efficiency and stability.
What You’ll Be Doing
Design and develop the Operations Automation & Cloud Management Platform, building
full-lifecycle management capabilities for multi-cloud resources
across compute, storage, network, database, and middleware;
Integrate with cloud provider APIs (Aliyun, AWS, Azure) and Terraform
to enable unified onboarding, automated provisioning, configuration changes, and cost optimization of cloud products;
Own the design and development of core systems including
CMDB, Event Center, and orchestration engines
, building a unified data foundation for resources, configurations, and events, and develop workflow engines, task schedulers, and approval mechanisms;
Build
intelligent cloud management capabilities
, leveraging AI / LLM for intelligent orchestration, change-risk assessment, and capacity/cost prediction, driving the evolution from manual operations to intelligent control;
Explore the application of
AI / LLM in cloud management
, building an intelligent ops assistant (ChatOps / AI Copilot) to support natural-language-driven cloud resource operations and smart ticket handling;
Design and maintain unified RESTful / gRPC interfaces and SDKs, and participate in platform security (OIDC, IAM Role, RBAC, audit) and operations.
What We Look For In You
Bachelor's degree or above in Computer Science, Software Engineering, or related fields;
Proficient in
Java
, familiar with Spring / Spring Boot / Spring Cloud;
Development or integration experience in multi-cloud resource management (Aliyun, AWS, Azure) and cloud provider APIs / Terraform
;
Strong API design and system integration skills, with understanding of distributed architecture;
Experience designing or developing CMDB, orchestration engines, or event centers;
Knowledge of AI / LLM application development (Prompt Engineering, RAG, Agent), able to integrate AI into cloud management and operations scenarios;
Excellent problem-solving skills and strong code-quality awareness.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
San Francisco, California
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