Location: Boston, MA
Workplace: OnSite
At WHOOP, we’re on a mission to unlock human performance. As a member of the Mechanical Engineering NPI team, you’ll help shape the future of wearable technology by developing innovative, high-performance products that integrate seamlessly into users’ lives.
WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. We expect engineers to go deep technically, collaborate relentlessly, and take pride in execution. The pace is fast, expectations are high, and the work is deeply meaningful. This isn’t a role where you follow a blueprint. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
WHOOP is looking for a Staff Mechanical Engineer to lead critical design, validation, and development execution for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Complete technical ownership (at system level) of a next generation product from design concept to manufacturing release, ensuring performance, reliability, cost, and schedule targets are met.
- Lead mechanical design, analysis and development of mechanical components around micro-electronics, exact industrial design specifications, product requirements, and manufacturing constraints.
- Create parametric multi-body SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate and collaborate effectively across functional teams and external suppliers to align requirements, drive decisions, and resolve issues quickly
- Drive organized, end-to-end DFM coordination across multiple vendors and manufacturing methods, aligning requirements, timelines, and technical decisions to deliver scalable, high-yield production.
- Design testing protocols and validation plans, manage testing processes to ensure comprehensive verification and validation (V&V) of mechanical designs.
- Perform thorough engineering root cause analyses to identify and resolve issues
- Mentor younger engineers by example through excellence in engineering best practices
- Willingness to travel internationally up to 20% of the time
QUALIFICATIONS:
- BS or MS in Mechanical Engineering or a related field
- 10+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics
- 5+ years SolidWorks (or equivalent) CAD experience with best practices for part design/ feature architecture, surface modeling, advanced assemblies, complex configuration management and integrating DFx feedback efficiently
- 5+ years working with Tier 1 and 2 contract manufacturers in Asia and North America
- Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly
- Played a key role in the launch of 3+ products, thorough understanding of full product development process, experience guiding suppliers, product lifecycle management
- Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection
- Knowledge of Six Sigma statistical methods and how to apply them effectively to make design decisions. Ability to utilize statistical methods such as RSS tolerance stack up analysis and CPK process capability.
- Strong organization and communication skills and the ability to work well within teams in a fast-paced environment
- Ability to effectively communicate technical concepts and proposals to leadership upwards (internally), and externally to suppliers and contract manufacturers.
- Highly organized and methodical; able to create structure, plans, and risk mitigation for open-ended problems and drive them to closure.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $175,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Bengaluru, India
We are looking for a Senior Backend Engineer with strong Drupal experience to design, build, maintain, troubleshoot, and optimize the backend services and application logic that power enterprise Drupal digital experiences.
This role is backend-focused and requires deep hands-on Drupal engineering expertise, including custom module development, data modeling, business logic implementation, integrations, and platform-level troubleshooting. You will work closely with frontend engineers, architects, QA, DevOps, and product teams to deliver scalable, secure, and maintainable solutions.
This position is intended for Hyderabad-based candidates who are available to work from the office.
Design, develop, and maintain Drupal backend functionality for enterprise digital applications
Build and support custom modules, services, plugins, hooks, events, and API integrations
Implement business logic, data structures, and content/workflow behavior in Drupal
Develop and maintain integrations with external systems and APIs
Troubleshoot backend, configuration, data, caching, and platform issues
Collaborate with frontend engineers to support rendering needs and resolve cross-stack issues
Optimize application performance, scalability, and reliability
Participate in code reviews, technical discussions, and production troubleshooting
Support configuration management, deployment readiness, and environment consistency
Contribute to backend engineering standards, reusable patterns, and technical documentation
6+ years of professional software or web application development experience
3+ years of hands-on Drupal backend development experience
Strong knowledge of PHP and Drupal architecture
Experience building custom Drupal modules, services, plugins, hooks, and event-driven logic
Strong understanding of Drupal entities, fields, forms, routing, dependency injection, and configuration management
Experience working with Views, Blocks, custom content structures, and workflows
Working knowledge of Drupal caching, render cache, cache tags, cache contexts, and invalidation
Experience integrating Drupal with APIs, external services, and data sources
Ability to read and analyze frontend impact when needed, and collaborate effectively with frontend engineers
Strong Git workflow habits and familiarity with modern development tooling
Ability to troubleshoot complex application issues methodically and communicate clearly across teams
Experience with Drupal 10/11
Experience with Acquia Cloud Platform
Familiarity with Drush, Composer, Docker, or DDEV
Experience with enterprise-scale or multi-site Drupal platforms
Experience with performance tuning, security hardening, or DevOps collaboration
Familiarity with automated testing frameworks and CI/CD pipelines
Location: Shanghai, China
The Company
Founded in 2018, our client is a Dutch company focused on innovation and development of precision injection systems for small volume injections, built around a single principle: minimizing residual volume and injection risks. Their concept minimizes silicone oil contamination and reduces drug waste to delivering accurate, repeatable dosing where it matters most.
At our client, quality and efficiency are key. Their core business is the development of syringes and supporting tools to help (compounding) pharmacies obtain optimal efficiency when prefilling small dose injections. By combining feedback from doctors, pharmacists, and patients, we create products tailored to their clients’ needs.
The Role
The Supply Chain & Quality Engineer/Specialist is responsible for ensuring the efficiency, reliability, and compliance of supply chain operations while maintaining high quality standards across our manufacturer(s), materials, and processes. This role combines technical engineering expertise with management, quality assurance, and continuous improvement activities to support operational excellence and regulatory compliance.
Responsibilities
Analyse and support our manufacturer in optimizing their supply chain processes related to production, logistics, and inventory.
Identify bottlenecks and implement data‑driven improvements to reduce lead times, increase reliability, and lower total cost of ownership.
Support new product introductions by coordinating supply readiness, capacity validation, and material availability.
Support compliance with ISO9001, ISO13485, GMP, or other relevant standards.
Work with R&D, production, and logistics to ensure product and process compliance.
Review technical documentation, certificates of conformity, and quality records.
Cross functional collaboration with HQ Netherlands, Manufacturer(s) and regional offices.
Requirements
Bachelor’s or Master’s degree (Industrial, Mechanical, Supply Chain, Quality, or equivalent).
Minimum of 3 years of experience in supply chain, engineering, quality engineering, or manufacturing operations.
Experience working with supplier management, audits, and quality systems.
Hands‑on attitude with ability to operate across engineering and supplier environments.
Detail‑oriented, proactive, and able to work independently and cross‑functionally.
Задачи:
— Проектировать, разрабатывать и внедрять LLM/AI агентов и AI-ассистированные инструменты для процессов команды информационной безопасности (анализ инцидентов, threat intelligence, vulnerability management, автоматизация рутинных операционных задач и др.).
— Выстраивать новые рабочие процессы команды на базе AI-решений — от пилотов и MVP до продуктивной эксплуатации.
— Оценивать применимость LLM/AI инструментов и агентных архитектур к задачам информационной безопасности, формировать обоснованные рекомендации по внедрению.
— Разрабатывать автоматизацию с использованием языков программирования для интеграции AI-решений с существующей инфраструктурой и инструментами (SIEM, тикет-системы, EDR и др.).
— Учитывать и минимизировать риски безопасности, связанные с использованием LLM/AI (утечки данных, prompt injection, неконтролируемый доступ агентов к системам и др.).
— Документировать архитектуру, процессы и практики использования AI-инструментов, обучать команду работе с ними.
— Участвовать (около 20% времени) в проектах Infrasec Core Team по повышению защищённости сетевой и серверной инфраструктуры.
— Работать в тесном контакте с командами CSIRT, VM, Endpoint/Server Security и Network Security для выявления точек, где AI-агенты дадут наибольший эффект.
Требования:
— Опыт работы в информационной безопасности или смежной инженерной области от 4+ лет.
— Сильные навыки программирования и автоматизации (Python или Go предпочтителен).
— Самостоятельное написание production-ready кода, а не только прототипов.
— Практический опыт работы с LLM/AI: использование API моделей, построение агентных пайплайнов, работа с RAG, промпт-инжиниринг, понимание ограничений и рисков.
— Понимание применения LLM/AI именно в контексте информационной безопасности.
— Опыт проектирования архитектуры (для новых процессов/сервисов), умение самостоятельно принимать и обосновывать технические решения.
— Базовое инженерное понимание операционных систем (Windows/Linux), сетевой инфраструктуры и типовых механизмов защиты — достаточное, чтобы проектировать AI-решения для реальных задач информационной безопасности.
— Понимание принципов кибербезопасности, векторов атак.
— Способность работать на стыке нескольких команд, выступать драйвером изменений и обучать коллег новым инструментам.
— Инициативность, самостоятельность и готовность строить процессы «с нуля» в быстро меняющейся области.
Условия:
— Формат работы на выбор: гибрид, удалёнка, офисы в Москве, Санкт-Петербурге, Иннополисе, Новосибирске и ещё более чем в 8 городах России, а также в Казахстане и Беларуси.
— Участие в конференциях, митапах, техтолках, хакатонах и конкурсах.
— Билеты, дорога и проживание за счёт компании.
— ДМС со стоматологией и льготная медицинская страховка для близких, страхование от несчастных случаев, полис выезжающего за рубеж, онлайн-поддержка психолога.
— Курсы по запросу и поддержка в карьерном развитии.
— Бесплатные курсы программирования, математики и английского языка для детей сотрудников.
— Партнёрские скидочные программы, спортивные клубы, йога в офисе.
— Оплачиваемая стажировка Route Start для начинающих специалистов.
— Зарплатные проекты от Ozon Банка и других банков.
— Льготная жилищная программа для сотрудников.
— Реферальный бонус за рекомендацию друга.
Задачи:
— Работа над проектом системы лояльности.
— Создание REST API на .NET: проектирование ресурсов и методов, коды ответов, версионирование, валидация входных данных, обработка ошибок через единый контракт.
— Создание Background-сервисов: IHostedService/BackgroundService, периодические задачи, обработка очередей, корректное завершение работы, идемпотентность операций и защита от повторной обработки.
— Конфигурирование приложений (IConfiguration, переменные окружения, секции настроек) и логирование (структурные логи, уровни, корреляция запросов).
— Работа с реляционными БД (MS SQL и/или PostgreSQL): написание и оптимизация запросов, индексы, планы выполнения, транзакции и уровни изоляции, работа с блокировками.
— Работа с нереляционными БД (MongoDB): моделирование документов, индексы, понимание сценариев применения.
— Использование ORM — Dapper или Entity Framework: понимание генерируемого SQL, отслеживание изменений, проблема N+1 и способы её обхода, миграции схемы.
— Диагностика ошибок и локальная отладка кода на C# и SQL: работа с отладчиком, чтение стек-трейсов, анализ логов, воспроизведение дефектов.
— Применение принципов SOLID и написание чистого, поддерживаемого кода.
— Работа в команде разработчиков: задачи в трекере, код-ревью, взаимодействие с аналитиками и тестировщиками.
— Декомпозиция задач и оценка трудоёмкости.
Требования:
— Уверенное владение C#: типы, generics, LINQ, async/await, исключения, IDisposable.
— Понимание платформы .NET: устройство CLR, сборка мусора, отличия .NET Framework и .NET Core, публикация и запуск приложений.
— Практические знания многопоточности: гонки, дедлоки, потокобезопасные коллекции.
— Опыт создания REST API и Background-сервисов на .NET.
— Опыт работы с реляционными и нереляционными базами данных.
— Опыт работы с ORM Dapper или Entity Framework.
— Навыки диагностики и отладки кода.
— Понимание и применение принципов SOLID.
— Опыт работы в команде от года.
— Практический опыт работы с AI-ассистентами разработки (GitHub Copilot, Cursor, Claude Code, Codex или аналоги).
— Критическое отношение к сгенерированному коду и ответственность за коммиты.
— Соблюдение правил информационной безопасности при работе с внешними моделями.
— Умение формулировать задачи для моделей, понимание промпт-инжиниринга и эксплуатационных ограничений.
— Осознание рисков использования AI: галлюцинации, необходимость логирования, защита от prompt injection.
Будет плюсом:
— Опыт работы с ASP.NET Core: WebAPI, middleware, IoC-контейнер, Swagger/OpenAPI.
— Опыт тестирования API: Postman, SoapUI, REST Client.
— Опыт работы с брокерами сообщений RabbitMQ или Kafka.
— Опыт работы с Git, Redmine, TeamCity.
— Опыт работы с Docker и понимание контейнеризации.
— Базовые знания фронтенда (JavaScript).
— Опыт работы с системами лояльности, биллингом, процессингом или другими областями с высокими требованиями к корректности расчетов.
Условия:
— Полный рабочий день.
— Удалённая работа.
— Работа по аутстафф модели.
— Трудоустройство через ИП или готовность его открыть.
Задачи:
— Проектировать и развивать LLM/AI-системы и AI-агентов;
— Строить многошаговые agentic workflows: routing, tool calling, state management;
— Работать с Prompt Engineering и Context Engineering;
— Управлять контекстом, памятью и состоянием диалога;
— Реализовывать structured output и function/tool calling;
— Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking;
— Интегрировать LLM с API, базами данных и внутренними сервисами;
— Разрабатывать backend-сервисы на Go и AI-компоненты на Python;
— Исследовать новые модели и подходы, быстро проверять гипотезы;
— Выбирать модели с учетом качества, latency и стоимости;
— Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge;
— Анализировать логи и traces, улучшать качество и стабильность агентов;
— Реализовывать retries, fallbacks, timeouts и обработку ошибок;
— Доводить решения от прототипа до стабильного production.
Требования:
Go:
— production-сервисы;
— REST/gRPC API;
— concurrency;
— работа с БД;
— микросервисная архитектура.
Python:
— AI-сервисы и backend;
— async;
— API;
— обработка данных;
— быстрое прототипирование.
Также важно:
— Практический опыт разработки production-приложений с LLM;
— Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation;
— Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output;
— Опыт Context Engineering: memory, summarization, динамическая сборка контекста;
— Опыт создания AI-агентов и agentic workflows;
— Работа с LLM API и понимание особенностей разных моделей;
— Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search;
— Понимание evals, regression testing и анализа production-логов;
— Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD;
— Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости.
Будет плюсом:
— Multi-agent системы;
— LangGraph;
— MCP;
— Langfuse / LangSmith;
— Elasticsearch / OpenSearch;
— Open-source LLM: Qwen, Llama, DeepSeek и др.;
— vLLM / Ollama;
— Kafka / RabbitMQ;
— Kubernetes;
— Оптимизация token usage, latency и стоимости LLM;
— Guardrails и защита от prompt injection;
— Highload-системы.
Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.
Location: Bengaluru, India
We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle.
AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance.
You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services.
This position is intended for Hyderabad-based candidates who are available to work from the office.
The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready.
Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle.
Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review.
Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel.
Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo.
Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift.
Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows.
Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites.
Validate deep-learning, reinforcement-learning, and predictive models using LangChain.
Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction.
Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python.
Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery.
Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback.
Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage.
Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails.
Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures.
Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform.
Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight.
Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure.
Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope.
Contribute to release readiness for the assigned product area without owning sign-off for the whole team.
Strong Python proficiency with pytest for test and evaluation automation.
Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks.
Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools.
Hands-on use of Cursor or agentic development tools for test generation and maintenance.
Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift.
Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain.
Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction.
Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python.
Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations.
Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion.
Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools.
Experience testing AI security, privacy, access control, and guardrails.
Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures.
Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools.
Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions.
Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight.
Experience managing defects through resolution in Jira or an equivalent tool.
Ability to work with domain experts, product, and engineering on ground truth and coverage gaps.
Experience contributing to release readiness for an assigned product area.
Playwright and TypeScript experience for UI and API automation.
Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform.
Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform.
Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows.
Experience managing test data and troubleshooting test environments needed for reliable execution.
Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls.
Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Senior Manufacturing Engineer, you will be responsible for developing manufacturing solutions that enable new products from early design through production ramp. You will work closely with Product Design, Mechanical, Electrical, Quality, and factory engineering teams to influence product design, define assembly strategies, and develop the fixtures, tooling, equipment, and processes required to manufacture products at scale.
You will apply strong mechanical design fundamentals, DFX expertise, and hands-on manufacturing experience to identify manufacturing risks early, translate product requirements into robust manufacturing solutions, and solve complex technical challenges with a high degree of independence.
RESPONSIBILITIES:
- Partner closely with Product Design and Mechanical Engineering throughout product development to drive DFM, DFA, and DFX, identifying manufacturing risks and influencing product designs for assembly, quality, scalability, automation, and cost.
- Develop manufacturing concepts and assembly strategies from early prototypes through production, translating product requirements into practical manufacturing processes, tooling, and equipment.
- Design and develop fixtures, tooling, nests, gauges, and manufacturing aids used for assembly, alignment, bonding, welding, inspection, and test.
- Own fixture and tooling development from concept through detailed design, tolerance analysis, fabrication, debugging, qualification, and release to production.
- Apply GD&T, tolerance analysis, datum strategies, and mechanical design principles to ensure product and fixture designs support repeatable manufacturing and measurement.
- Work with product engineering teams to evaluate component interfaces, assembly sequences, joining methods, tolerance stack-ups, and other design characteristics that impact manufacturability.
- Develop and qualify manufacturing processes including adhesive bonding, heat staking, mechanical assembly, and other processes used in small consumer electronic devices.
- Define critical process parameters, process windows, acceptance criteria, and controls to ensure manufacturing processes consistently meet product requirements.
- Evaluate manual and automated assembly approaches and develop fixture and equipment concepts that enable appropriate levels of automation.
- Use DOEs, process characterization, capability analysis, and failure analysis to validate manufacturing designs and optimize process performance.
- Troubleshoot complex product, fixture, and process interactions during development builds and production ramp, driving issues to root cause and implementing robust engineering solutions.
- Collaborate directly with contract manufacturers, equipment vendors, and tooling suppliers to develop, review, debug, and qualify manufacturing solutions.
- Provide hands-on technical support during prototype builds, engineering validation, process qualification, and production ramp.
- Travel domestically and internationally up to 25% to support development builds, tooling and equipment qualification, and production ramp.
QUALIFICATIONS:
- Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related technical field.
- 5+ years of manufacturing engineering experience supporting product development and moderate- to high-volume manufacturing.
- Ability to operate independently in fast-paced product development and manufacturing environments with limited technical oversight.
- Strong experience applying DFM, DFA, and DFX principles during product development, with demonstrated ability to influence product designs for manufacturing.
- Strong proficiency in SolidWorks, including detailed mechanical design, assemblies, drawings, and fixture design best practices.
- Strong knowledge of GD&T, datum structures, tolerance analysis, tolerance stack-ups, and dimensional inspection methods.
- Experience developing and qualifying manufacturing processes for small electromechanical or battery-powered electronic products.
- Experience with manufacturing technologies including adhesives, heat staking, injection-molded plastics, and automated and manual assembly.
- Strong understanding of injection-molded plastic part design principles, tooling considerations, defect modes, and their interaction with downstream assembly processes.
- Experience designing and executing DOEs, process characterization studies, capability analyses, and structured failure investigations.
- Strong hands-on mechanical/electrical and analytical problem-solving skills with the ability to independently develop solutions to complex product and manufacturing challenges.
- Experience working directly with contract manufacturers, equipment vendors, tooling suppliers, and cross-functional product development teams.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Russia; Moscow; Perm
Workplace: remote
About Xsolla
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.
About the Role
We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about.
The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs:
minting and gifting;
trading on our Bazaar marketplace;
Merkle-based reward airdrops;
gas sponsorship;
an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider.
Responsibilities
The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale
The smart account and permissioning model, evolved to meet both product and compliance needs
The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it
The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to
MPC
-based custody
Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams
Engineering standards in the Web3 domain
Production escalations in the wallet and account abstraction domain
WHAT YOU WILL DO
Design and evolve the
ERC
-4337 user operation lifecycle (prepare → sign → submit → confirm),
EIP
-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction
Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable
Define
EIP
-1193 /
EIP
-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow
Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets
Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and
RPC
dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents
Write RFCs and design docs; review critical code, contracts and designs
Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans
Create leverage for the engineering org through documentation, tooling and mentorship
Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
REQUIRED
Experience
8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets
Designing or operating a production smart wallet or account abstraction system serving real users and real value
Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place
Account abstraction and smart wallets
ERC
-4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (
ERC
-7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts (
ERC
-6492)
EIP
-7702 and the post-Pectra landscape:
EOA
delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions)
Building on or extending production smart account implementations; modular account standards (
ERC
-7579 /
ERC
-6900)
Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation;
ERC
-7710 /
ERC
-7715
Signature schemes and wallet interfaces:
EIP
-712 typed data,
ERC
-1271 contract signatures, WebAuthn / passkey (P-256) signers;
EIP
-1193,
EIP
-6963,
EIP
-5792 batched calls,
ERC
-7677 paymaster interfaces
Smart contracts and
EVM
Solidity and the
EVM
: reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors
L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior,
RPC
and indexer semantics
Backend
Go: idiomatic code, concurrency patterns, performance profiling
TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on
Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result
Data and infrastructure
PostgreSQL: schema design, query optimization, migrations at scale
Kubernetes: deploying, operating and debugging services
Asynchronous messaging and event-driven design (Kafka or
NATS
): consumer groups, at-least-once delivery
Git, CI/CD
Security
Key management in production: platform secure storage (Keychain / Keystore), HSMs,
MPC
or threshold signing, and the operational discipline around each
Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and
DoS
Leadership
Leading multi-quarter technical initiatives across teams
Influencing architecture and standards beyond your immediate team
RFCs and design docs that stand on their own and are actionable without you in the room
AI-assisted engineering
Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository
English
English at C1 level
Nice to Have
Hands-on experience with
ZK
Stack and
zk
-rollups
Hands-on experience with embedded and ecosystem wallet and
AA
infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy
MPC
/ threshold custody, social recovery or guardian-based recovery in a consumer product
NFT
and token infrastructure at scale:
ERC
-721 /
ERC
-1155 /
ERC
-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services
Contributions to open-source wallet, security or identity projects, including authoring or reviewing
ERC
/
EIP
standards
Compliance requirements for crypto consumer products:
KYC
/
AML
, geofencing,
MiCA
, SOC 2, ISO 27001,
GDPR
data minimization, audit logging
Identity and auth integration for wallet derivation: OAuth 2.0 /
OIDC
, JWT verification, token scoping
Platform or infrastructure engineering: building systems other engineers build on
Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI
Gaming industry experience: platforms for game developers, publishers or players
How We Work
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
HOW WE HIRE
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise.
System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
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 and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, 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.
EMPLOYMENT DETAILS
Location: Remote
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus
Workplace: hybrid
Capital.com's Product Security team protects our web and mobile applications, infrastructure, and external perimeter in a highly regulated environment. As Senior/Staff Application Security Engineer, you will raise the bar for application security across the organisation. This role is measured by leverage: how well you design, automate, and scale security processes so that many engineering teams can build securely by default.
You will lead security architecture reviews and threat modelling, increasingly with the help of AI tooling, and turn one-off security work into repeatable, self-service capabilities. The role combines deep hands-on offensive and defensive security expertise with the engineering mindset needed to automate at scale. You will work closely with development, QA, DevOps, and platform teams.
Responsibilities:
Security Architecture & Threat Modelling:
Lead security architecture reviews and threat modelling for new and existing systems, using AI tools to make reviews faster, more consistent, and scalable across teams
Act as a security force multiplier by influencing the standards, patterns, and guardrails that let teams move fast and stay secure
Security Automation & Tooling:
Design, build, and automate scalable security processes that engineering teams can self-serve, covering secure design review, threat modelling, testing, and remediation workflows
Integrate and automate security checks across the SDLC and CI/CD pipelines (SAST, DAST, SCA, secrets, and IaC scanning), tuned for strong signal and low friction
Own and evolve security tooling such as DefectDojo and SAST, DAST, and SCA platforms, maximising automation, coverage, and integration
Apply AI and LLM-based tooling to architecture review, threat modelling, code review, and vulnerability triage, and help define how the team adopts these tools safely
Security Testing & Vulnerability Management:
Conduct and oversee security assessments of web and mobile applications, APIs, and cloud infrastructure, including manual testing and PoC development
Run vulnerability scans across internal infrastructure and the external perimeter, then analyse findings, define remediation, and track issues to closure
Support and triage the Bug Bounty Program and external vulnerability reports, automating triage where possible
Participate in and help lead red teaming and offensive security exercises
Enablement:
Drive knowledge sharing on secure development, mentor engineers, and deliver training for development and QA teams
Requirements:
Experience:
5+ years in application or product security, or equivalent depth, with a track record of senior or staff-level impact
Demonstrable experience leading security architecture reviews and threat modelling (e.g. STRIDE, attack trees, data-flow analysis) across multiple teams or products
Proven ability to automate and scale security processes by building tooling, integrations, and self-service workflows that reduce manual effort
Technical:
Strong hands-on security testing skills, including code review and web, mobile, and API application security assessments, as well as the ability to triage and validate external vulnerability reports and bug bounty submissions
Strong software engineering ability in at least one language (e.g. Python, Go, JavaScript), with the ability to build automation, not just scripts
Deep understanding of the OWASP Top Ten, secure design, and secure coding best practices
Experience with SAST, DAST, SCA, and vulnerability management platforms, and integrating them into CI/CD
Strong understanding of modern application architectures: REST APIs, microservices, cloud-based systems, and containers
Practical experience applying AI and LLM tooling to security work, or clear enthusiasm and aptitude to do so
Collaboration:
Excellent communication and influencing skills: you can explain security concepts to technical and non-technical stakeholders and drive change without direct authority
A self-starter who enjoys solving complex problems, building leverage through automation, mentoring others, and strengthening security culture
Nice to have:
Experience securing the AI harness: hardening LLM and agent pipelines, prompts, tool and MCP integrations, and model endpoints against prompt injection, data leakage, and insecure agent actions
Experience securing Kubernetes, including cluster hardening, RBAC, network policies, admission control, workload isolation, and image and supply-chain security
Experience securing AWS infrastructure, including IAM, network and account architecture, key and secret management, and CSPM
Experience building AI-assisted security tooling or internal self-service security platforms
Experience mentoring or technically leading a security team
Offensive or advanced security certifications such as OSAI, OSEP, OSCP, or OSWE
What you'll get in return:
You will join the company, that cares about work and life balance
Annual Bonus based on the performance review cycle
Generous Annual Leave Policy
Medical Insurance and Pension fund, with additional benefit packages based on the location
Hybrid working model (3 days from our modern office and 2 days fully remotely)
Comprehensive Workation Policy with 30 more remote days available.
Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.
Xometry is an on-demand manufacturing marketplace connecting customers with manufacturers for custom industrial parts.
As Staff Product Manager for Pricing, you will own the strategy and roadmap for pricing and manufacturability across the EMEA region, a technical, cross-functional role at the intersection of pricing strategy, manufacturing domain expertise, and applied AI.
Задачи:
— Define and drive a multi-year roadmap for pricing and manufacturability in Europe, translating market dynamics, competitive positioning, and customer behavior into a pricing strategy that accelerates sales growth without sacrificing margin discipline.
— Lead the Intelligent DFM Workbench systems and models that determine pricing of custom parts across European markets, identifying and closing gaps where pricing is too slow, rigid, or disconnected from manufacturability cost.
— Partner with global product, data science, and ML engineering teams to adapt and scale AI-driven pricing and manufacturability solutions for Europe, including geometry-based cost estimation, manufacturability scoring, and pricing optimization models.
— Define and track key metrics such as win rate, price realization, quote-to-order conversion, margin accuracy, and manufacturability sign-off latency to prioritize the roadmap.
— Act as the hub between Sales, Sourcing, Data Science, Engineering, and regional leadership across Europe, presenting strategy, trade-offs, and ROI to executive leadership regionally and globally.
— Represent Europe in global strategy to ensure market realities shape Xometry's global pricing and AI product direction.
Требования:
— 8+ years of product management experience, including leading AI/ML-powered or technical products in B2B, marketplace, or manufacturing/engineering environments.
— Experience owning a system of record or complex data contract with human-in-the-loop workflows.
— Experience designing policy-driven workflows such as approval routing, tiered sign-off, escalation logic.
— Ability to operate across regions and stakeholder groups to maintain a single global design standard.
— Exceptional written and verbal communication skills to distill technical and operational complexity for engineers and executives.
— Rigorous, data-driven approach to prioritization, experimentation, and measuring impact on cycle time, quality, and customer/partner satisfaction.
— Familiarity with manufacturing processes and DFM principles (CNC machining, sheet metal, additive manufacturing, injection molding) is a strong plus.
— Comfort with geometry-based feasibility rules.
— Track record partnering with data science and ML engineering teams to ship models into production; experience with computer vision, 3D/geometric analysis, or applied LLM/VLM is a plus.
— Bachelor's degree in Engineering, Computer Science, Business, or related field; advanced degree (MBA, MS) is a plus.
Xometry is an equal opportunity employer; all applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Location: Hanoi; Shenzhen / Dongguan / Guangzhou / Foshan
Workplace: onsite
Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.
We are looking for an experienced Lead CCTV Industrialization Engineer and NPI Expert with broad hands-on expertise in electronic, mechanical, and optical product development, manufacturing introduction, validation, and production testing.
The key objective of this role is to share practical expertise across R&D, NPI, and Manufacturing, to build up proper CCTV manufacturing processes, ecosystem, and lines to maximize throughput and efficiency.
A mandatory requirement is substantial practical experience in a mature, well-established company with proven engineering and manufacturing processes for video surveillance IP cameras and similar devices.
Mandatory requirements
7+ years of practical experience in Video/CCTV device development, NPI, Product Industrialization, Manufacturing Engineering, Product Engineering, or related hardware manufacturing roles
Experience in building/managing CCTV manufacturing line
Proven hands-on experience across the full product lifecycle in a mature manufacturing company
Ability to identify industrialization risks during the design stages and provide practical recommendations to R&D, Mechanical, Hardware, Firmware, QA, and Manufacturing teams throughout all development and manufacturing stages
Practical experience with factory production and mass-production ramp-up, including onsite factory support
Strong understanding of production-line structure and manufacturing processes for video devices
Deep understanding of environmental and reliability validation, including temperature and humidity testing, mechanical testing, and burn-in testing
Expert knowledge of optical subsystems, image sensors, and ISP performance, including validation, testing flows, troubleshooting, and issue resolution
Ability to identify whether image-quality issues originate from hardware, optics, mechanics, ISP tuning, firmware, or manufacturing processes
Practical experience with image sensor contamination control, clean assembly procedures, dust inspection, and dust-ingress prevention
Ability to act as a technical authority and knowledge-sharing expert rather than only as an execution-focused engineer
Technical Background and Expertise
Strong understanding of optics and camera assembly, lens systems, focusing, Active Alignment (AA), dust contamination control, and dust protection
Experience with flat protective glass, domes, plastic windows, IR windows, coatings, mechanical stress, and contamination effects on optical systems
Clear understanding of plastic and metal enclosure design principles, injection-molded and die-cast part manufacturing technologies, including sealed enclosures, membranes, waterproofing, and other outdoor product design specifics
Experience with IPX6 / IPX7-type testing, leak testing, and pressure testing
Deep understanding of moisture and condensation issues in sealed devices, including the use of silica gel or molecular sieves and membrane vents
Strong practical understanding of video camera manufacturing issues such as damaged pixels, shading, fixed-pattern noise, sensor tilt, and sensor mounting defects
Understanding of AWB, AE, OBC, and AI-enabled ISP technologies
Experience with factory sensor and optical calibration procedures and image quality validation principles
Good understanding of Ethernet, IEEE 802.3af / 802.3at, PoE, and EMI / EMC interactions
Working knowledge of Embedded Linux / RTOS, boot processes, factory firmware flashing, Secure Boot, OTA updates, and recovery mechanisms
Basic practical understanding of 2.4 GHz / 5 GHz behavior, interference, attenuation, antenna placement, and enclosure impact
Understanding of Li-ion / LiFePO4 fundamentals, charging and discharging, standby and active current consumption, and realistic battery-life validation
Basic understanding of microphone and speaker validation, including enclosure and waterproof membrane impact
Preferred knowledge of video WDR / HDR, AI-enabled ISP technologies, low-light optimization, H.264 / H.265 / AV1 fundamentals, and bitrate / quality trade-offs
We offer
The opportunity to suggest and implement your own ideas that directly influence the product and its mass production
A place in a fast-growing company with a motivated and professional team
Competitive salary
Medical insurance
Corporate English classes
The opportunity to participate in Ajax’s internal beta-testing program for security systems
Discounts from partner companies
Discounts on Ajax products
Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.
Задачи:
— Разработка генеративных ИИ-моделей для синтеза визуального и проектного контента на основе структурированных данных товарного каталога в рамках проверки гипотез (PoC) внутри корпоративной платформы по оценке ИИ-инициатив
— Разработка архитектуры агентов: управление состоянием диалога и контекстом, динамический выбор инструментов (tool calling), настройка уровней автономности и сценариев human-in-the-loop
— Построение системы метрик: разработка офлайн- и онлайн-показателей, кросс-валидация, прямая оценка бизнес-эффекта
— Непрерывный мониторинг дрейфа моделей и качества данных в продакшене
— Построение пайплайнов оценки (LLM Evals): контроль галлюцинаций, релевантности ответов и мониторинг поведения системы
— Обеспечение безопасности: защита от prompt injection, предотвращение утечек персональных данных (PII/privacy) и аудит прав доступа агента
— Оценка стоимости, latency и масштабируемости LLM-решений
Требования:
— Глубокое понимание жизненного цикла ML-модели: от подготовки признаков до интерпретации результатов
— Знание методов борьбы с переобучением, data leakage, регуляризации
— Уверенный выбор алгоритмов под задачу
— Владение матстатистикой для проверки гипотез, расчета доверительных интервалов и самостоятельного дизайна A/B-тестов
— Опыт работы хотя бы в одном из направлений: классическое машинное обучение, временные ряды и прогнозирование
— Языки и библиотеки: Python (pandas/polars, NumPy, scikit-learn, CatBoost/XGBoost/LightGBM, PyTorch), продвинутый SQL
— Написание поддерживаемого production-кода: модульная архитектура, юнит-тесты, логирование, документация, работа с GitFlow и код-ревью
— Практический опыт работы с API языковых моделей, платформой Hugging Face и orchestration-фреймворками
— Опыт работы в e-commerce, retail или других продуктовых highload-системах
— Инфраструктура и оркестрация: Airflow, MLflow, Kafka, Redis, Kubernetes
— Мониторинг и наблюдаемость: Prometheus, Grafana, OpenTelemetry
— Опыт эксплуатации GPU-инфраструктуры и оптимизации inference
— Адаптация моделей через fine-tuning (LoRA/PEFT)
— Опыт проектирования agentic workflows или multi-agent-систем
— Понимание принципов информационной безопасности, privacy и работы с персональными данными
Проект: Банк. Создание омниканального диалогового канала с клиентом по обслуживанию и продажам.
Требования:
— Коммерческий опыт Android-разработки от 3 лет.
— Уверенное знание Kotlin и понимание особенностей работы языка.
— Опыт разработки на Kotlin Coroutines и Flow.
— Практический опыт разработки UI на Jetpack Compose.
— Опыт разработки и поддержки экранов на XML.
— Понимание принципов построения Android-приложений и жизненного цикла компонентов.
— Практический опыт применения архитектурных подходов MVVM и/или MVI.
— Опыт работы с Dependency Injection (Dagger, Koin или аналогичные решения).
— Опыт работы с навигацией в Android-приложениях (Jetpack Navigation, Cicerone или аналогичные решения).
— Умение читать существующий код, разбираться в чужих решениях и поддерживать большие кодовые базы.
— Способность самостоятельно реализовывать задачи и доводить фичи до продакшена.
— Опыт участия в code review и командной разработке.
Будет плюсом:
— Опыт работы с многомодульными проектами.
— Опыт написания unit-тестов.
— Опыт миграции экранов с XML на Compose.
Условия:
— Работа по ИП.
— Оплата до 1600 руб/час (фуллтайм по производственному календарю РФ).
— Сроки проекта: 3 месяца с возможной пролонгацией.
— Гражданство РФ и локация: РФ/РБ.
— Удалённая работа.
— Аутстафф.
Location: US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc
Your Role:
As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature our approach to securing AI both within Tenable's products and across the enterprise. AI introduces a new class of risk at the intersection of application security, cloud risk, and data governance, and you will be on the front lines of defining how we assess, test, and address it.
You will apply hands-on AI engineering experience alongside deep product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. You will establish security standards for responsible AI use, influence decisions across the organization, and build tooling that raises our security posture.
This role is ideal for a practitioner who has spent real time building with AI systems, looking under the hood of model internals, and wants to channel that experience into a security specialty.
Your Opportunity:
Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle.
Conduct safety research, inspecting model internals (e.g., detecting hidden deception, latent knowledge, or unwanted concepts across layers) as a core methodology.
Perform AI safety assessments and threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks.
Design and implement robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models.
Act as a subject matter expert in AI safety research by inspecting model internals to detect hidden deception, latent knowledge, or unwanted concepts, ensuring highly transparent and aligned AI outputs.
Continuously monitor the AI landscape for novel vulnerabilities and attack techniques, applying deep engineering experience to proactively defend enterprise AI deployments.
Develop security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses.
Deploy controls to ensure model integrity, governance, and proper access control across models and feature stores.
Build AI-driven tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors.
Perform AI safety, security assessments, threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks.
Collaborate with software engineers, and product teams to integrate security best practices into AI development, training, validation, and deployment processes.
Drive Secure Software Development Lifecycle (SSDLC) and DevSecOps practices for AI-powered products, including threat modeling, security testing, penetration testing, and CI/CD pipeline security automation.
Create security guidance, documentation, and training for internal engineering and development teams; develop metrics that drive desired security behaviors and outcomes.
Research emerging trends in AI security and contribute to innovative solutions that support Tenable's AI initiatives.
What You'll Need:
5 or more years of professional experience in information security or application security, with at least 1–2 years focused on securing AI/ML systems.
Master’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred; advanced degree preferred.
Deep understanding of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks.
Strong coding experience in Python and/or Go.
Experience with frameworks & libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar.
Experience using specialized interpretability and probing tools/libraries such as TransformerLens, NNsight, Captum, or LIT (Learning Interpretability Tool).
Familiarity with mechanistic & Architectural Concepts: inspecting internal model states, residual streams, attention patterns, activation steering, Sparse Autoencoders (SAEs), or feature attribution.
Strong understanding of the ML/AI lifecycle and the security risks associated with each stage.
Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services.
Knowledge of data security principles, including encryption, masking, and tokenization.
Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling.
Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices.
Ability to work cross-functionally across engineering, product, and business teams.
Strong written and verbal comAAmunication skills; able to clearly translate complex AI security risks for both technical and non-technical audiences.
Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership.
Self-motivated and effective working independently and across distributed teams.
And Ideally:
Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments.
Familiarity of AI security frameworks and standards, including OWASP LLM Top 10 and the NIST AI Risk Management Framework.
Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc).
Familiarity with AI governance frameworks (EU AI Act, NIST AI RMF, etc.).
Background in cloud security or large-scale SaaS product environments.
Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications are a plus, but not necessary.
#LI-Hybrid
#LI-MS1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$122,500
—
$163,166.67 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
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
About OKX
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
The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters.
We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability.
What You’ll Be Doing
Lead the architecture, design, and development of complex, high-performance C++ trading systems.
Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries.
Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation.
Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour.
Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities.
Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification.
Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms.
Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries.
Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture.
Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices.
Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks.
What We Look For In You
Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued.
5+ years of hands-on software engineering experience, with substantial experience building production C++ systems.
Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs.
Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments.
Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs.
Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour.
A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution.
Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes.
Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability.
Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team.
Nice to Haves
Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems.
Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms.
Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments.
Practical experience applying AI tools to improve software engineering workflows and code quality.
Experience working with globally distributed, cross-functional engineering teams.
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: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE SECURITY PLATFORM TEAM
The Infrastructure Security team provides and supports the primitives that enable engineering to securely build applications and meet compliance obligations, while abstracting away the underlying complexity for the best possible developer experience.
Our work centers on workload identity and authorization: how internal applications authenticate to each other and to the services they depend on, and how that access is granted and enforced. We're replacing static secrets with short-lived identity credentials, bringing identity-based authentication to the services engineers use every day, and unifying how authorization is managed across the company.
We're a platform engineering team with a security mission. We measure success by the security outcomes we enable and by how much engineers enjoy building on what we ship — the secure path should be the easiest path.
WHO WE'RE LOOKING FOR
- A platform builder. You love building infrastructure that other engineers rely on every day, and you sweat the developer experience details that make adoption effortless.
- Fluent in service-to-service auth. You know authentication and authorization deeply: JWTs, X.509 certificates, and when to reach for each.
- A systems thinker. You reason carefully about bootstrapping, circular dependencies, availability, and failure modes, especially for infrastructure that everything else depends on.
- A pragmatic migrator. You know that shipping the primitive is half the job. You can drive adoption across many teams, meet them where they are, and retire the legacy path.
- A strong partner to engineering. You build trust with engineers by understanding their priorities and making security frictionless.
- Excited about AI. You're embracing AI and automation to scale platform work and reduce toil.
- Curious and humble. You ask the basic questions, enjoy untangling complex systems, and bring others along with you.
RESPONSIBILITIES
- Build workload identity infrastructure. Make short-lived identity credentials a default part of every application's runtime environment, in partnership with application platform owners.
- Bring identity-based authentication to internal services. Work with the owners of major internal dependencies to support identity certificates, make them the golden path for newly onboarding applications, and drive migration of existing ones.
- Eliminate static secrets. Replace all static passwords and service tokens with short-lived identity credentials, and build identity-authenticated egress proxies and API abstractions that inject and automatically rotate managed secrets for the external dependencies that still require them.
- Unify authorization. Build a single interface and framework through which authorization policies are centrally managed and enforced.
QUALIFICATIONS
- 5+ years of experience in software engineering, with a focus on security-related platform, infrastructure, or distributed systems.
- Strong working knowledge of secrets management, fine-grained authorization, and workload identity systems.
- Familiarity with the Kubernetes ecosystem and authentication/authorization technologies such as JWTs, X.509 certificates, PKI, cert-manager, SPIFFE/SPIRE, and OPA.
- Experience building and operating production infrastructure that other teams depend on, with attention to availability and failure modes.
- Proven ability to drive cross-team adoption of platform capabilities or lead large-scale migrations.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Hong Kong
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
About the Team
Design and Development
Job Overview
We are seeking a highly motivated and diligent Project Engineer to join the Preschool & Fashion Engineering team. In this role, you will play a key part in crafting toys and deliver groundbreaking play experiences to reach more than 1 billion fans annually. The candidate will be owning the engineering development and delivery of innovative, safe, high-quality, and efficient products from concept through production launch, including PEPPA PIG, MY LITTLE PONY, BABY ALIVE and more. This role requires close collaboration with Product Design, Project Management, Packaging, Quality Assurance, and manufacturing partners to ensure successful product execution throughout the development lifecycle. The ideal candidate combines strong engineering fundamentals with excellent project management, communication, and problem-solving skills.
Location and Work Arrangement
This role is based at our Hong Kong office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Lead engineering development activities for Preschool & Fashion product lines.
Support new product development from concept evaluation through market introduction including feasibility study of concepts, estimate BOM cost and tool plan at initial stage.
Partner internationally with multi-functional team to drive product development to meet specification within timeline.
Analyze various engineering build options to work towards the best product performance, quality, efficient product cost and shortest development path.
Product debug and drive issue resolution during development and production phases.
On-site review to support manufacturing process development and continuous improvement.
Find opportunities for cost reduction, material optimization, tooling efficiency
Support alternative sourcing and material qualification programs.
Issue and maintain product specifications, product & tool BOM
Occasional travel to Mainland China or other countries
What You'll Bring
Bachelor degree in mechanical engineering, manufacturing engineering, product engineering, or a related engineering field, with equivalent experience also considered.
2+ years of engineering experience in Production or Product development, ideally in the toy industry.
Fundamental understanding of plastic toy manufacturing including plastic injection molding, product assembly processes and decorations.
Basic knowledge in tool building and construction
Understanding in Design for Manufacturing (DFM) and Design for Assembly (DFA).
Preschool or Fashion dolls toys experience will be beneficial
Pro-E, SolidWorks or other 3D modelling skills will be helpful
Knowledge of toy regulations and standards would be advantage
Respects the process and company’s practices, don't worry about challenging the status quo.
Problem solving skills and critical thinking.
Innovative, passionate, initiative and adaptive, while we encourage everyone to express your ideas!
Positive relationship, communication, strong presentation skills help bringing trust and boost productivity.
Good command of written and spoken English and Chinese (Cantonese and Mandarin)
Love Toys and Play! Create joy and community through the magic of play.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
seniorBengaluru, India
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