Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Brand & Experience team builds the emotional connection between Deliveroo and our customers, riders, and partners. With a deep understanding of our audience and a passion for creativity, we bring our brand to life across every touchpoint. Whether it’s a push notification, social campaign, or packaging design—we craft compelling experiences that shape perceptions, spark engagement, and make Deliveroo a loved, global brand.
We’re looking for a Senior Creative Project Manager to join our London team. This is a hybrid role working 3 days a week from our London HQ. In this role, you’ll help us lead the end-to-end delivery of creative projects across diverse briefs—from fast-turnaround sprints to global, multi-channel campaigns—while driving studio operations and process improvements. This is a 12 month fixed term contract.
What You’ll Be Doing
You’ll be joining the Creative Studio team. Reporting into the PMO Lead, you'll work alongside Creative, Campaign, Design, and Creative Operations functions to power our in-house marketing and creative output.
Here’s what your day-to-day might look like:
Campaign & Project Delivery
Lead the end-to-end delivery of creative briefs—ranging from high-volume growth marketing and CRM sprints to complex, multi-market campaigns including AV and TVC.
Develop accurate project plans, timelines, and milestones while managing budgets and resources to ensure seamless delivery across creative and marketing teams.
Stakeholder Leadership & Traffic Management
Act as the primary contact for projects, building strong relationships across internal teams and partner agencies while keeping everyone aligned on goals and milestones.
Manage traffic and intake: evaluate briefs, flag out-of-scope requests, manage sprint scheduling, and allocate resources based on team capacity.
Operations & Process Improvement
Own key PMO operations by refining Asana templates, documentation, and intake workflows to make studio operations more efficient, consistent, and scalable.
Support studio-wide operational initiatives, including resourcing models, tooling, reporting, and adopting AI-enabled creative production workflows in partnership with our Creative AI Technologist.
Risk Mitigation & Team Mentorship
Identify project risks early and implement effective solution strategies to keep work moving smoothly without compromising quality.
Motivate and guide creative project teams, sharing best practices across the PMO and supporting less experienced project managers and freelancers.
What You’ll Need to Thrive
Essential
Significant experience managing end-to-end creative projects and integrated campaigns within an in-house studio or creative marketing agency.
Proven ability in resource management, capacity planning, and traffic management for high-volume, fast-turnaround performance and growth marketing assets (paid social, CRM, in-app).
Deep understanding of creative operations, including intake flows, studio tooling (e.g., Asana), project documentation, and process optimization across local and global markets.
Exceptional stakeholder management and communication skills, with the confidence to challenge, motivate, and align cross-functional teams and external partners.
Demonstrated ability to manage project budgets, mitigate risks proactively, and deliver high-quality work to tight deadlines.
Nice to Have
Hands-on experience integrating AI tools and adoption strategies into creative production and studio workflows.
Experience managing and onboarding external agencies or freelance resources.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Ищем стажёра , который будет помогать развивать продукт, улучшать пользовательский опыт и влиять на ключевые продуктовые метрики. • Обучение в одном из ведущих вузов (ВШЭ, МФТИ, МГУ, СПбГУ, ИТМО или зарубежные университеты).
Задачи:
— Обеспечивать проектное администрирование и координацию данных по нескольким активным проектам.
— Собирать, поддерживать и обновлять информацию о проектах, качественные записи и сопроводительную документацию.
— Управлять данными проектов и назначенными задачами с использованием Deltek, Jira, CRM и других систем управления проектами.
— Готовить и распространять отчёты, дашборды и информацию о производительности проектов на основе доступных данных.
— Контролировать незавершённую документацию, действия, сроки и требования к качеству, активно взаимодействовать с заинтересованными сторонами.
— Поддерживать точные, полные и проверяемые записи для обеспечения процессов контроля качества и готовности к аудитам.
— Выявлять отсутствующую или неточную информацию, решать несоответствия, эскалировать проблемы и поддерживать непрерывное улучшение рабочих процессов проектов.
Требования:
— Минимум 3 года релевантного опыта в координации данных, администрировании проектов, координации проектов, администрировании систем качества или аналогичной роли.
— Практический опыт работы с Deltek обязателен.
— Владение Microsoft Excel и Microsoft 365, включая управление данными, отчётность и документацию.
— Сильные навыки письменного и устного общения, способность координировать работу с заинтересованными сторонами и контролировать незавершённую информацию.
— Отличное внимание к деталям и точность в ведении записей проектов, отчётов и данных систем.
— Сильные организационные, тайм-менеджмент и навыки решения проблем, способность самостоятельно управлять несколькими проектами, задачами и сроками.
— Опыт работы с Jira, CRM или системами управления документами желателен.
— Наличие соответствующей степени бакалавра и опыт работы в строительстве или средах реализации проектов являются преимуществом.
Условия:
— Работа из дома.
— График с понедельника по пятницу с 9:00 до 18:00 по AEST/AEDT (с учётом перехода на летнее время).
— Медицинское страхование с покрытием для 2 иждивенцев и возмещение медицинских расходов.
— Государственные обязательные льготы.
— Возможности работы с ведущими компаниями Австралии и других стран.
— Программы обучения и развития карьеры.
— Корпоративные мероприятия, командные активности и сессии по оздоровлению.
— Поддерживающая и инклюзивная культура.
— Менеджеры, ориентированные на рост и успех сотрудников.
О компании:
Twoconnect связывает высококвалифицированных специалистов с Филиппин с устоявшимися компаниями в Австралии, Новой Зеландии, США, Великобритании и Европе, предоставляя прямой доступ к глобальным карьерным возможностям и долгосрочным перспективам. Компания предлагает конкурентоспособную оплату и льготы, дополнительные выплаты и структурированные программы развития карьеры, обеспечивая финансовую и профессиональную устойчивость. Высокий уровень удержания сотрудников подтверждает приверженность компании культуре, ориентированной на людей, стабильность, рост и заботу о каждом сотруднике. Twoconnect является работодателем, предоставляющим равные возможности, ценит культурное разнообразие и поддерживает инклюзивную рабочую среду.
Location: Remote - Global
Workplace: Remote
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
THE ROLE
We’re looking for a PMO to be the bridge between Product and Engineering. You’ll keep complex, fast-moving projects on track, make sure teams are aligned and unblocked, and build the trusted relationships that make delivery happen.
This role is equal parts delivery driver and team connector. You hold people accountable to timelines, and you do it with warmth, empathy, and genuine care for the team.
JOB SCOPE:
- Bridge Product and Engineering: translate priorities, surface dependencies, and keep both sides aligned on scope, trade-offs, and timelines
- Drive ETAs and results: own project plans, track milestones, and push initiatives to completion on time
- Partner closely with PMs and engineering leads: run planning cadences, sprint reviews, and cross-team syncs that actually move work forward
- Spot and clear blockers early: identify risks, escalate the right issues to the right people, and drive resolution
- Build relationships and engagement: act as a trusted point of contact across teams, foster collaboration, and keep team dynamics healthy
- Bring visibility to leadership: deliver clear, concise status updates, delivery metrics, and project health reporting
- Improve how we work: refine PMO processes, tools, and rituals so teams ship faster with less friction
REQUIREMENTS:
- 3+ years in program management, technical program management, PMO within tech or product-led companies
- Genuine passion for Web3 and a sharp eye for where the industry — and wallet infrastructure specifically — is heading.
- A proven track record of driving cross-functional projects to delivery between Product and Engineering
- Warm, caring, people-first style: you build trust easily and people want to work with you
- Results-driven: comfortable pushing for timelines and holding teams accountable without damaging relationships
- Enough technical fluency to understand engineering trade-offs and earn credibility with engineers
- Excellent communicator who can align stakeholders at every level, from engineers to executives
- Highly organized: you thrive on bringing structure to ambiguity in a fast-moving environment
- Familiarity with tools like Jira, Notion, Linear, or similar
- Experience in a high-growth or scale-up environment
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
• Достигать согласованных результатов в заранее согласованные сроки. • Управлять разработкой, маркетингом и продажами: корректировать и адаптировать продукт, ставить задачи, объяснять требования, контролировать сроки и качество результата.
Location: Aberdeen, United Kingdom
W
e are?
A leading specialist engineering services company delivering integrated solutions for complex energy and infrastructure projects and operating assets. Our business is built on the belief that our people are what make EnerMech excellent. When we are thriving globally it's not just about investing in our infrastructure, service offering and technology, but by also investing in our people.
The role?
Due to continued growth a new role has arisen for a Project Engineer to join our Process & Industrial Services team here at EnerMech in Aberdeen. This is a staff onshore office based role.
This role will be responsible for providing the day-to-day support to the client for the delivery of the contract and liaising with EnerMech field crew on a daily basis regarding maintenance/operations. The role will also involve attending client planning meetings to ensure mobilisation readiness and date compliance. You will also be asked to provide first line technical support for the work being carried out offshore.
You are?
To be successful for this role you will have demonstrable operational experience supporting client organisations with excellent safety behaviours and have a focus on customer satisfaction.
You will have demonstratable experience within Process Services which will include but not be limited to;
Nitrogen Pumping, Flange Management, Bolting, Leak Testing and Purging.
You will hold strong commercial awareness with good technical awareness.
Diversity & Inclusion
At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated.
Company benefits
Generous holiday entitlement
Pension scheme
Private health cover
Various staff discount schemes
Canteen on site
Employee referral scheme
Location: Bangladesh; Brazil; India; Colombia; Egypt; Ghana
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems.
CONTRACT:
Contractor assignment, 4 weeks
COMMITMENT:
Hourly, up to 40h/week
LOCATIONS:
Remote -
Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
PROCESS:
AI Interview
NOTES: PhD Degree is mandatory!
Key Responsibilities
Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery.
Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests.
Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning.
Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability.
Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results.
Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins.
Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations.
Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices.
Requirements
PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave.
Proficiency in Linux and command-line environments.
Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling.
Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation.
Experience reviewing complex technical work, engineering simulations, computational models, or research outputs.
Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability.
Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions.
Experience mentoring, reviewing, or leading small technical teams.
Excellent written communication skills for precise technical feedback and documentation.
Location: Pakistan; Indonesia; Kenya; Turkey; Nigeria; Vietnam
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems.
CONTRACT:
Contractor assignment, 4 weeks
COMMITMENT:
Hourly, up to 40h/week
LOCATIONS:
Remote -
Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
PROCESS:
AI Interview
NOTES: PhD Degree is mandatory!
Key Responsibilities
Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery.
Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests.
Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning.
Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability.
Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results.
Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins.
Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations.
Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices.
Requirements
PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave.
Proficiency in Linux and command-line environments.
Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling.
Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation.
Experience reviewing complex technical work, engineering simulations, computational models, or research outputs.
Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability.
Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions.
Experience mentoring, reviewing, or leading small technical teams.
Excellent written communication skills for precise technical feedback and documentation.
Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems.
CONTRACT:
Contractor assignment, 4 weeks
COMMITMENT:
Hourly, up to 40h/week
LOCATIONS:
Remote -
Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
PROCESS:
AI Interview
NOTES: PhD Degree is mandatory!
Key Responsibilities
Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery.
Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests.
Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems.
Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning.
Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability.
Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results.
Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues.
Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior.
Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis.
Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices.
Requirements
PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL).
Advanced proficiency in Linux and command-line environments.
Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design.
Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles.
Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs.
Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability.
Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
Experience mentoring, reviewing, or leading small technical teams.
Excellent written communication skills for precise technical feedback and documentation.
Location: Turkey; Nigeria; Kenya; Pakistan; Indonesia; Vietnam
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems.
CONTRACT:
Contractor assignment, 4 weeks
COMMITMENT:
Hourly, up to 40h/week
LOCATIONS:
Remote -
Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
PROCESS:
AI Interview
NOTES: PhD Degree is mandatory!
Key Responsibilities
Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery.
Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests.
Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems.
Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning.
Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability.
Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results.
Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues.
Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior.
Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis.
Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices.
Requirements
PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL).
Advanced proficiency in Linux and command-line environments.
Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design.
Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles.
Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs.
Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability.
Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
Experience mentoring, reviewing, or leading small technical teams.
Excellent written communication skills for precise technical feedback and documentation.
О проекте:
MeGo.Tours — сервис для путешествий: бронирования, гиды, туры, маршруты, marketplace услуг.
Сейчас масштабируем продукт и усиливаем управление разработкой, поэтому ищем Project Manager, который поможет держать процессы под контролем и доводить задачи до результата.
Требования:
— Опыт в project / delivery роли от 6 месяцев
— Понимание Agile / Scrum процессов
— Умение структурировать хаотичные требования
— Сильные коммуникационные навыки
— Базовое понимание разработки (web / mobile)
— Опыт работы с таск-трекерами (Jira, Trello и др.)
— Ответственность и системное мышление
Будет плюсом:
— Опыт в стартапах
— Понимание product management
— Опыт работы с аналитикой и метриками
— Навыки работы с документацией (PRD, BRD)
— Опыт в travel / marketplace / e-commerce проектах
Чем предстоит заниматься:
— Управлять процессом разработки (planning → execution → delivery)
— Вести спринты и координировать команду (dev / design / marketing)
— Декомпозировать задачи и следить за их выполнением
— Контролировать сроки, риски и приоритеты
— Организовывать коммуникацию между бизнесом и разработкой
— Вести трекинг задач в Jira / аналогах
— Подготавливать статус-отчёты и апдейты по проектам
— Помогать превращать идеи в понятные задачи для команды
Условия:
— Возможность влиять на процессы и продукт
— Работа напрямую с фаундерами
— Гибкий формат работы
— Процент от прибыли / опционы обсуждаемы
— Один обязательный созвон в неделю + рабочие сессии по необходимости
— Реальный опыт построения travel-tech продукта
Формат работы: удалёнка (позже возможно работать из офиса Алматы)
Location: California
Workplace: onsite
Role Overview
We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.
Project Details
Location: 100% Onsite (Santa Clara, CA, US)
Employment: Full-time W-2
Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM
Start Date: ASAP
Contract Duration: 12-month contract with possibility of extension
Rate: $40 per /hour
What You’ll Do
Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use.
Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors.
Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras.
Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data.
Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses.
Soldering, crimping, connectorization, harness building, and PCB rework support at the bench.
Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors.
Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up.
Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow.
Help bring up new embodiments and new stations alongside engineers and researchers.
What we need to see
3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar.
AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience.
Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar).
Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope.
Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said.
Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream.
Methodical and self-documenting. An undocumented fix is a future outage.
Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time.
Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours.
Ways to stand out from the crowd
Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands.
Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent.
Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras.
Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters.
Light scripting in Python or bash to automate a repetitive bench or calibration task.
Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked.
Vendor-facing experience: RMAs, lead times, and spares planning.
Job reference: #L1-CC1
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
