Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As HR Manager in our Boston location, you'll be hands on: part strategic partner, part operator. You'll set direction and roll up your sleeves to make it happen. You'll be a trusted advisor on everything from performance and employee relations to culture - helping the business move fast while staying rigorous and fair. People Operations
WHAT YOU’LL DO
- People Operations and the Employee Lifecycle
- Own the end-to-end employee lifecycle for US employees, including onboarding, employee changes, leave management and offboarding.
- Administer US benefits, prepare payroll inputs, and handle day-to-day employee queries.
- Maintain accurate employee data, documentation and workflows in our HRIS (HiBob) and other HR systems.
- Coordinate lifecycle processes across HR, Payroll, IT, Finance, Legal and other internal teams.
- Prepare and maintain employment documentation, and support HR reporting, data quality, audits and compliance requirements.
Strategic HR Business Partnership
- Serve as the primary HR partner for Engineering, Hardware and Software leaders.
- Support technical leaders as the company grows, including adding new management layers, developing first-time managers, and adapting leadership styles as the team scales.
- Partner with the Chief HR Officer on org design, workforce planning and people strategy for the technical organization.
- Align with Talent Acquisition on technical hiring strategy, interview process health, candidate experience and hiring manager enablement.
Manager Coaching and Performance Management
- Coach managers on setting clear expectations and operating rhythms, including goals, execution cadence and feedback loops.
- Enable consistent, high-quality 1:1s, feedback and career conversations.
- Support performance differentiation (high, medium and low performance) and make sure issues are addressed early and fairly.
- Run performance and review cycles, managing the detail and delivering consistently.
Career Frameworks and Talent Development
- Partner with leaders to build and evolve career frameworks and levels for technical roles, including software, robotics, embedded, firmware, electrical and mechanical engineering.
- Clarify dual career tracks (individual contributor and management), promotion readiness and growth expectations.
- Identify retention risks in critical technical roles and put targeted plans in place with managers.
Employee Relations and Compliance
- Support managers and leaders through complex and sensitive employee situations with empathy, directness and appropriate legal and compliance awareness.
- Take ownership of operational issues and complex cases, and drive them through to resolution.
- Apply practical knowledge of US and Canadian employment practices across employee relations, benefits, payroll coordination and leave administration.
Process Improvement and Scalability
- Continuously review existing People processes and find ways to simplify, standardize and automate them.
- Build scalable people practices suited to a fast-moving deep-tech environment.
- Partner with People Ops to keep core people processes running smoothly and the employee experience strong.
WHAT WE'RE LOOKING FOR
- 7+ years of proven HRBP experience supporting technical teams (Engineering, Hardware, Software, AI/ML).
- Experience partnering directly with managers on performance management, employee relations and people decisions.
- Strong capability in org design, workforce planning, manager coaching, performance management and employee relations.
- Excellent stakeholder management, communication and influence skills. You communicate clearly, practically and confidently with employees and leaders.
- Strong execution skills: able to run cycles, manage detail and deliver consistently.
Mindset
- High judgement and confidence handling sensitive matters, balancing empathy with high standards.
- Comfortable operating in ambiguity and driving clarity where processes are still evolving.
- Able to own problems independently and drive them through to resolution.
- A process-improvement mindset and a natural tendency to simplify and automate.
Nice to Have
- Experience in deep-tech, robotics, embedded systems, or hardware and software organizations.
- Experience building or refining leveling frameworks and IC/manager career tracks.
- Familiarity with engineering operating models (on-call, incident management, postmortems).
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a VP of Sales to join our Business Development team based in Boston, Massachusetts. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
WHAT YOU'LL DO
- Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
- Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
- Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
- Develop and deliver compelling business cases & ROI analyses for potential customers.
- Build relationships with key decision-makers and stakeholders in target industries.
- Partner with product & engineering to align solutions with customer needs.
- Track market trends and competitor activity to refine go-to-market approaches.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Business, Engineering, or a related field.
- Background in robotics, automation, or advanced manufacturing technologies.
- 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
- Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
- Strong network in the relevant industries and a track record of securing strategic partnerships.
- Exceptional negotiation, communication, and presentation skills.
- Expertise in calculating ROI and developing bulletproof business cases.
- Strong analytical and problem-solving skills with a results-driven mindset.
- P&L management and financial modeling experience.
- Ability to thrive in a fast-paced, high-pressure environment.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in the Massachusetts, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on how experience maps to our internal leveling.
Location: US (Remote); US, San Diego, CA
Workplace: Remote
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a VP of Sales to join our Business Development team based in the United States. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
WHAT YOU'LL DO
- Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
- Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
- Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
- Develop and deliver compelling business cases & ROI analyses for potential customers.
- Build relationships with key decision-makers and stakeholders in target industries.
- Partner with product & engineering to align solutions with customer needs.
- Track market trends and competitor activity to refine go-to-market approaches.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Business, Engineering, or a related field.
- Background in robotics, automation, or advanced manufacturing technologies.
- 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
- Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
- Strong network in the relevant industries and a track record of securing strategic partnerships.
- Exceptional negotiation, communication, and presentation skills.
- Expertise in calculating ROI and developing bulletproof business cases.
- Strong analytical and problem-solving skills with a results-driven mindset.
- P&L management and financial modeling experience.
- Ability to thrive in a fast-paced, high-pressure environment.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in the United States, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on geographical location and how your experience maps to our internal leveling.
Humanoid AI — первая компания в Великобритании, которая создает человекоподобные роботы. Уже создан робот HMND 01, используемый в промышленности, логистике и сервисе. Компания оценивается в $1.35B при инвестициях в $152M. Команда — 101-250 человек.
Задачи:
— Полный цикл работы над проектами: от концепции до финальной сдачи, арт-дирекшн и управление процессом с минимальным контролем
— Воплощение бренда Humanoid через смелый, точный и продуманный визуальный дизайн на всех каналах
— Поддержка и развитие бренд-гайдов и дизайн-систем для сохранения консистентности при масштабировании и запуске новых продуктов
— Перевод сложных технических и продуктовых задач в четкие, уверенные и понятные визуальные решения
— Дизайн в широком спектре: фирменный стиль, презентации, мерч, упаковка, веб, соцсети, оформление пространства
— Тесное сотрудничество с креативным директором и командой для единства и соответствия бренду
— Взаимодействие с командами аппаратного дизайна и продуктов для сохранения визуального языка, соответствующего роботам
— Работа с motion-специалистами (внутренними или фрилансерами) для создания раскадровок и анимационных материалов
Требования:
— Опыт работы в дизайне 6+ лет, желательно с опытом в технологиях, продуктах или ведущем креативном агентстве
— Портфолио, демонстрирующее системное мышление, сильную верстку и разнообразие: брендинг, цифровой дизайн, печатная продукция, желательно анимация или моушн
— Владение Adobe Creative Suite и Figma
— Опыт работы с After Effects или аналогичными инструментами для моушн-дизайна будет преимуществом
— Самостоятельность, умение брать ответственность и продвигать проекты без постоянного контроля
— Практичный подход: сочетание амбициозного творческого видения с соблюдением жестких сроков
— Внимание к деталям и стремление к качеству выше среднего
— Умение работать кросс-функционально с аппаратными и продуктовыми командами, переводя технические ограничения в креативные решения
— Уверенность в презентации и защите своих работ перед старшими руководителями, включая CEO и исполнительную команду
Условия:
— Конкурентные опционы с потенциалом роста стоимости
— Более 30 оплачиваемых дней отпуска, включая 23 дня ежегодного отпуска, все банковские праздники Великобритании и дополнительные дни закрытия компании (включая рождественские и новогодние каникулы)
— Частное медицинское обслуживание, включая виртуальную и очную помощь
— Пенсионная программа с общим взносом 8% (5% сотрудник, 3% работодатель) от полной заработной платы
— Бесплатный ежедневный завтрак, обед и перекусы в офисе
— Работа на переднем крае технологий с мировыми инженерами, исследователями и экспертами по продукту в области ИИ и гуманоидной робототехники
— Реальная возможность влиять на продукт и принимать участие в ключевых инициативах с первого дня
Делаю мобильную 3D-игру: Tower Defense
Ищу в команду сильного 3D-художника, который может вести визуал игры целиком: от персонажей до готовой картинки в Unity.
Задачи:
— персонажи и враги: модель, текстуры, риг под Unity (Humanoid)
— анимации: покой, бег, атаки, получение урона, смерть, появление из земли, для героя на коне и для толпы врагов
— локация: поляна, край тумана, разломы, камни, руины, растительность
— свет, туман, пост-обработка и цвет в URP, чтобы была атмосфера
— следить, чтобы всё работало на телефоне: на экране одновременно до 200 врагов
Требования:
— коммерческий опыт, выпущенные игры
— портфолио с персонажами, анимациями и локациями, собранными в Unity, не только рендеры
— живые, читаемые анимации для вида сверху
— сильный свет и пост-обработка в URP
— понимание оптимизации под мобилки
— умение самому держать визуальное направление
— плюсом будут VFX (туман, свечение, удары, частицы)
Условия:
— сдельная оплата, по договоренности
— тестовое задание оплачивается
— проектная занятость
— удалённая работа
Location: San Francisco, CA
Senior Software Design Lead, IDEO San Francisco
In a nutshell:
IDEO San Francisco is in search of a
Senior Software Design Lead
who will architect the human and technical systems behind the digital products and AI experiences we design, build prototypes that behave like real production software, and be the technical voice client CTOs trust. You'll pick up design at IDEO along the way.
Why is this role important for IDEO’s work?
Software design makes the biggest impact by turning a product vision into something a client can actually build, and by testing ideas in working code rather than static screens. Their skillset is critical to our business because the work has evolved from designing interfaces to designing systems: how people, software, and AI agents behave together. We count on them to understand data models, APIs and agentic infrastructure from first principles, and speak credibly on technical choices with executives and engineering leaders.
Once here you will:
Work with product designers, product strategists and design researchers on 8–12+ week digital product engagements that may span from product vision and strategy to full end-to-end build. You will play a key role in turning human insights into technical architecture: data, APIs, integrations and the agentic layer.
Build early prototypes with real data, real models and real integrations, so we learn quickly and lower the risk of big bets.
Advise client executives and engineering teams on tech stack choices, build-vs-buy, evaluating APIs and LLMs, and feasibility.
Design how agents and systems behave on a human's behalf, including guardrails, failure states and how the system stays legible to both people and machines.
Raise the craft bar inside IDEO. Create reusable starter kits and toolkits so teams stop building from scratch, and coach designers who prototype in code.
Help shape proposals and scope technical work in business development.
What does IDEO offer you?
IDEO is a place where you can solve diverse, complex challenges for our clients and their organizations, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and humility. We intentionally craft moments that allow our community to pause, create, and connect. We encourage our community to bring their whole selves to work, respect the need for work-life balance, and allow for autonomy in the design process and your career.
As a Software Designer in San Francisco, we provide the opportunity for you to:
Learn design from a leading design and innovation firm
. IDEO's founders designed Apple's first mouse and the first laptop. Since then, we've kept people at the center of design through every wave of technological change. You'd learn to do field research with real people, synthesize insights and tell compelling stories, and work alongside some of the best designers in the world.
Work across many problem spaces
. In one year you might redesign a retail or finance app, prototype new ideas in media and entertainment, and take on systemic challenges in health and education. Working across clients and industries stretches your thinking. A good solution isn't only technically sound: it has to fit real people, real businesses and the constraints they work within.
Be in the room for the "why" before the "how."
You'd shape the question from day one instead of receiving a spec after decisions have been made. And you’d help build this practice at IDEO to shape how next generation digital products are designed and built in the era of AI.
Some previous projects to check out:
Straight Arrow News
: a redesigned news app and website with features like See All Sides, Sources and Media Landscape views. App page views grew 1,170% and active users 700%. This role would design the content and data model underneath and prototype with real feeds.
Gates Foundation – Last Mile Money
: human-centered design for 100+ digital financial products serving 34M underserved users. This role would work on architecture for low-connectivity settings and evaluate partner platforms and APIs.
Jack Technology – Aitu
: AI-enabled industrial sewing machines and a humanoid robot, designed around how they work with factory workers. This role would work on system behavior: how the AI signals what it's doing and how humans stay in control.
Relevant experience and mindset:
Must-haves:
6-8+ years as a software engineer shipping production software, ideally at growth-stage or established tech companies where speed and scale both mattered. You've taken products from concept to launch.
1-2+ years as an engineering lead or solutions architect: scoping, estimating and planning projects, and making architecture decisions others build on. You think at a systems level.
Deep software fundamentals, including systems design, data modeling, APIs, and tradeoffs around performance, security and scale, plus fluency in a modern stack (e.g., TypeScript, React, Python, Node; AWS, GCP, Azure).
Hands-on building with LLMs (tool use, agents, retrieval, evals) and advanced prototyping. You turn concepts into working software quickly, using real data and integrations, with quality that holds up beyond vibe coding.
A track record of working closely with product, design and data, plus curiosity about people and a desire to learn how the craft of software intersects with product and design. You use prototypes as a way to think, not just to deliver.
Strong communication and storytelling: architecture diagrams, system maps and presentations that make technical recommendations clear and persuasive to executives and engineering leaders.
Nice-to-haves:
Comfort with Figma, design systems and front-end craft
Client-facing or consulting experience, or taking part in UX research
Experience with hardware or connected devices (Arduino, IoT)
Pop quiz, Hot Shot:
A client's CEO wants "an AI agent in the app by Q2." What's your first question for the CEO?
What's a piece of software that's beautifully built under the hood, not just on the surface? What makes it good?
Application requirements and instructions:
Résumé, LinkedIn + Cover Letter (Optional)
GitHub or two to three work samples (code, architecture docs, side projects or technical writing)
A short response of about 300 words: "Tell us about a technical decision you made that shaped how people experienced a product. What were the tradeoffs, and what would you do differently today?”
Payscale & Benefits
IDEO is committed to paying its employees, contractors & vendors equitably, regardless of gender identity or race/ethnicity/cultural identity.
The salary range for this role is $130,000-150,000 USD. Final offers may vary based on candidate experience, location, and other factors. As a full-time position, this role is eligible for employee benefits.
In addition to base compensation, IDEO offers a rich benefits package including the following:
Hybrid Model: Team members based in the San Francisco Bay Area are expected to work in the studio on Tuesdays, Wednesdays, and Thursdays, with flexibility based on client travel, project needs, and deliverables. Candidates based outside the Bay Area are not expected to be in the studio regularly, but should be available to travel as needed for IDEO and client work.
Health Benefits: Vision, Dental, Healthcare
Financial Benefits: 401K with Employer Contribution
Family & Caregiving: Parental Leave, Adoption Assistance, Fertility Assistance, Transgender Medical Assistance, Breastmilk shipment, Back-up/Dependent Care, Pet Insurance
Other Benefits: Flexible Work, Flexible Time Off, Paid Holidays, Annual Education Stipend, Home Office Stipend, Commuter Reimbursement, and Phone & Internet Reimbursement
Commitment to Diversity
At IDEO, we are committed to the work of advancing diversity, equity and inclusion within our organization and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives
to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research.
Please note that the successful candidate must be based in the United States and have the unrestricted right to work in the US. Unfortunately, we are unable to offer sponsorship for this role. IDEO proudly supports flexible work.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Director & Associate General Counsel at Humanoid, you will lead legal operations across the U.S. and Canada as we scale our footprint in the region. Reporting to the Chief Legal Officer & General Counsel, you'll serve as our senior legal representative and principal point of contact here — spanning regulatory support for production and R&D, IP across the research and manufacturing lifecycle, dispute resolution and pre-litigation matters, and the corporate and financing work that comes with our growth. You'll also partner closely with compliance leadership to track regulatory obligations, support public policy engagement, and own the region's legal infrastructure: entity management, governance, policies, templates, outside counsel, tooling, and reporting.
If you're excited to help shape a growing legal function, want real ownership over how law and compliance guide the deployment of real-world robots, and are ready to be the senior legal voice for a fast-growing region, we want to hear from you.
WHAT YOU'LL DO
- Own legal operations for North America across the United States and Canada, acting as an extension of the Office of the General Counsel in the region.
- Provide regulatory support to our production and R&D functions as HMND‑01 is deployed into industrial environments, working with compliance leadership to translate requirements into workable processes.
- Advise on IP rights across R&D and production, including invention capture, ownership, licensing, and protection.
- Manage disputes and pre-litigation matters across the region.
- Support commercial contracting in North America in partnership with our global contracts function.
- Drive legal support for public policy and government engagement in the United States and Canada, in partnership with our government relations and commercial leadership.
- Support corporate and financing workstreams in the region.
- Engage and manage outside counsel across the United States and Canada, with a clear view of cost and value.
- Own the legal operations infrastructure for the region, including entity management, policies, templates, tooling, and reporting.
- Build, manage, and develop the North American legal team as headcount grows, while remaining close to the work yourself.
WHAT WE'RE LOOKING FOR
- 10+ years of legal experience following bar admission, including 5+ years in-house in regulated industries.
- Licensed US attorney in good standing.
- 5+ years of people management experience, with the ability to build and scale a team as the region grows.
- Regulatory support experience across production and R&D functions.
- Substantive IP experience.
- Dispute resolution experience.
- A hands-on, execution-oriented approach: you do the work yourself as well as overseeing others.
- Comfortable operating in ambiguity and creating clarity in a fast-moving environment.
- Ability to work from our Boston office five days per week.
Nice to Have
- Familiarity with Canadian law, or experience running a cross-border US–Canada remit.
- Experience in robotics, artificial intelligence (AI), automotive, aerospace, or advanced manufacturing.
- Experience supporting a venture financing round in-house.
- Exposure to product safety, export controls, or trade compliance.
- Experience supporting government relations or public policy work.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in Massachusetts, the expected base salary range is $220K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Ищем Unity Environment / Technical Artist, Character / Animation Generalist в инди-команду. Разрабатываем сюжетную игру от первого лица в жанре исторического шпионского триллера для Windows. Игрок действует под чужой личностью, работает с документами, разговаривает с персонажами, исследует локации, принимает решения и старается не оставлять следов. Проект находится не на стадии идеи: уже существует рабочий прототип с основными механиками, интерфейсом, диалогами, сохранениями и проходимой миссией. Сейчас мы переходим к созданию полноценной визуальной части.
Задачи Unity Environment / Technical Artist:
— разработка и оформление игровых локаций;
— создание или адаптация модульного окружения;
— расстановка мебели, реквизита и визуальных ориентиров;
— настройка материалов и освещения;
— импорт и адаптация готовых лицензированных ассетов;
— создание и настройка Prefab;
— работа с URP;
— настройка производительности, LOD и графических профилей;
— сохранение удобной навигации и хорошей читаемости пространства;
— участие в формировании общей атмосферы игры.
Визуальное направление — сдержанный кинематографический реализм: исторические интерьеры, бумага, дерево, металл, стекло, локальные тёплые источники света и холодные зоны наблюдения. Без чрезмерной сепии, хоррор-эффектов и яркой аркадной подсветки.
Задачи Character / Animation Generalist:
— создание или адаптация игровых персонажей;
— подбор и настройка подходящих лицензированных моделей;
— подготовка одежды и внешнего вида персонажей;
— rigging и skinning;
— настройка Unity Humanoid и Mecanim;
— импорт моделей и анимаций в Unity;
— настройка базовых движений и переходов;
— создание различимых силуэтов и образов персонажей;
— подготовка рук игрока от первого лица;
— настройка взаимодействий с документами, дверями и предметами;
— устранение clipping, foot sliding и ошибок анимации;
— оптимизация моделей и материалов.
Полноценный motion capture и сложная лицевая анимация на текущем этапе не требуются. Главная задача — получить убедительных персонажей, естественные основные движения и понятные визуальные различия между ролями.
Требования Unity Environment / Technical Artist:
— опыт работы в Unity;
— понимание URP, материалов и освещения;
— умение собирать полноценные игровые локации;
— работа с модульными ассетами и Prefab;
— базовое понимание оптимизации;
— готовность работать в команде и соблюдать единое художественное направление.
Плюсом будет:
— знание Blender или Substance Painter;
— опыт в реалистичных или исторических проектах;
— навыки технического художника;
— опыт работы с Git и Git LFS.
Требования Character / Animation Generalist:
— опыт работы с игровыми персонажами;
— Blender, Maya или аналогичный инструмент;
— понимание rigging и skinning;
— опыт работы с Unity Humanoid и Mecanim;
— умение адаптировать готовые модели и анимации;
— понимание оптимизации;
— наличие портфолио.
Плюсом будет:
— опыт работы с персонажами от первого лица;
— создание или настройка рук игрока;
— работа с исторической одеждой;
— знание animation retargeting;
— работа с root motion;
— настройка blend shapes;
— опыт интеграции персонажей в Unity.
Условия:
— задачи разделяются на небольшие понятные этапы;
— на первом этапе фиксированная зарплата не предусмотрена;
— вознаграждение — согласованный процент от фактически полученных продаж игры;
— размер процента, продолжительность выплат и порядок расчёта фиксируются письменно до начала работы;
— при появлении финансирования возможен переход на фиксированную или комбинированную оплату;
— авторство указывается в титрах.
Это revenue-share проект, поэтому будущий доход не гарантируется.
Ищем человека, которому интересна совместная разработка игры и участие в проекте на раннем этапе.
В отклике укажите:
— кратко о своём опыте;
— ссылку на портфолио;
— опыт работы с Unity;
— какие задачи можете выполнять самостоятельно.
Ищем Unity Environment / Technical Artist, Character / Animation Generalist в инди-команду. Разрабатываем сюжетную игру от первого лица в жанре исторического шпионского триллера для Windows. Игрок действует под чужой личностью, работает с документами, разговаривает с персонажами, исследует локации, принимает решения и старается не оставлять следов. Проект находится не на стадии идеи: уже существует рабочий прототип с основными механиками, интерфейсом, диалогами, сохранениями и проходимой миссией. Сейчас мы переходим к созданию полноценной визуальной части.
Задачи Unity Environment / Technical Artist:
— разработка и оформление игровых локаций;
— создание или адаптация модульного окружения;
— расстановка мебели, реквизита и визуальных ориентиров;
— настройка материалов и освещения;
— импорт и адаптация готовых лицензированных ассетов;
— создание и настройка Prefab;
— работа с URP;
— настройка производительности, LOD и графических профилей;
— сохранение удобной навигации и хорошей читаемости пространства;
— участие в формировании общей атмосферы игры.
Визуальное направление — сдержанный кинематографический реализм: исторические интерьеры, бумага, дерево, металл, стекло, локальные тёплые источники света и холодные зоны наблюдения. Без чрезмерной сепии, хоррор-эффектов и яркой аркадной подсветки.
Задачи Character / Animation Generalist:
— создание или адаптация игровых персонажей;
— подбор и настройка подходящих лицензированных моделей;
— подготовка одежды и внешнего вида персонажей;
— rigging и skinning;
— настройка Unity Humanoid и Mecanim;
— импорт моделей и анимаций в Unity;
— настройка базовых движений и переходов;
— создание различимых силуэтов и образов персонажей;
— подготовка рук игрока от первого лица;
— настройка взаимодействий с документами, дверями и предметами;
— устранение clipping, foot sliding и ошибок анимации;
— оптимизация моделей и материалов.
Полноценный motion capture и сложная лицевая анимация на текущем этапе не требуются. Главная задача — получить убедительных персонажей, естественные основные движения и понятные визуальные различия между ролями.
Требования Unity Environment / Technical Artist:
— опыт работы в Unity;
— понимание URP, материалов и освещения;
— умение собирать полноценные игровые локации;
— работа с модульными ассетами и Prefab;
— базовое понимание оптимизации;
— готовность работать в команде и соблюдать единое художественное направление.
Плюсом будет:
— знание Blender или Substance Painter;
— опыт в реалистичных или исторических проектах;
— навыки технического художника;
— опыт работы с Git и Git LFS.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics.
WHAT YOU'LL DO
- Team Leadership & Product Security Delivery
- Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle.
- Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems.
- Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture.
- Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms.
Security Assurance & Certification
- Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation.
- Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act.
- Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users.
- Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification.
Incident Response & Lifecycle Security
- Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis.
- Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations.
Commercial & Bid Support
- Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope.
- Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions.
WHAT WE'RE LOOKING FOR
- Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes.
- Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments.
- Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context.
- Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development.
- Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner.
- Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence.
Preferred:
- Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems.
- Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths.
- Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems.
- Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme.
- Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments.
- Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS).
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: Germany
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a skilled and motivated Shift Supervisor to join our team on-site in Schweinfurt, Bavaria, Germany, supporting the deployment, integration, and maintenance of our humanoid robot solutions at customer facilities. As the on-site operations lead, you will coordinate site activities, collect operational data, and supervise a team of Field Operations Associates. This position requires problem-solving skills, sound judgement under pressure, and a customer-centric approach.
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WHAT YOU'LL DO
- Supervise a team of Field Operations Associates, setting and maintaining high standards in a demanding operational setting. This is a hands-on operational and technical leadership role representing Humanoid at customer sites.
- Act as the on-shift operational leader, ensuring that the appropriate tools, spare parts, and equipment are available.
- Supervise standard operating procedures (SOPs) for customer sites and document learnings from field issues.
- Test product releases and robot capabilities.
- Diagnose hardware and software issues using logs, diagnostics, and field observations, performing maintenance where appropriate.
- Collect, analyse, and interpret operational data to evaluate robot performance, identify bottlenecks, and drive continuous improvements.
- Track, document, and reproduce software and hardware issues, providing clear technical feedback to engineering and product teams.
- Tackle production incidents and technical issues in cooperation with service and engineering teams.
- Act as the primary on-shift liaison between the deployed location and Humanoid offices.
REQUIREMENTS
- 2–5 years of experience in industrial automation, robotics, or automotive integration, deployment, and development.
- Strong technical understanding of mechanical, electrical, and networking systems, with hands-on experience in troubleshooting, assembly, and maintenance.Excellent problem-solving, analytical, and decision-making skills, particularly in high-pressure operational environments.
- Strong communication, documentation, and stakeholder management skills, with the ability to work independently in dynamic customer environments.
- Business-fluent English.
- Flexibility to support future assignments at customer sites and occasional visits to company locations in the UK and Europe.
- Unrestricted right to work and live in the European Union.
WHAT WE'RE LOOKING FOR
- Prior experience in warehouse/logistics automation, industrial robotics, or humanoid robotics deployment.
- Working knowledge of a relevant local language (e.g. German).
- Valid Class B (or equivalent) driver's licence.
- Familiarity with software integration and sensor-based automation.
- Experience with commissioning, acceptance testing, or software validation.
- Experience working in complex operational environments.
- Experience working directly with customers in an operational leadership role.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Autonomy Engineer focused on Spatial Intelligence to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments
- Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings.
- Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra-low latency performance on edge hardware
- Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state
- Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration.
- Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap.
WHAT WE'RE LOOKING FOR
- Exceptional software engineering skills with a proven track record of shipping complex ML systems into production.
- Strong background in 3D scene understanding and the design of efficient spatial data structures.
- Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures).
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems.
- High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code.
- Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: India
Workplace: OnSite
ABOUT HUMAN ARCHIVE
Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.
About the role
We operate a fleet of camera and sensor devices in the field at scale. They generate large volumes of recordings on removable media, and every recording has to reach cloud storage intact, correctly identified, and traceable back to the exact device, card and operator that produced it.
This role owns the technical layer underneath that pipeline. Day-to-day offload is run by an operations lead and their team; you are the person who makes their work possible and correct. You own the ingest stations, the tooling that runs on them, the hardware fleet, quality control, and the standards everyone follows. When something fails in a way the operations team cannot resolve, it comes to you.
It is hands-on. You will spend time at ingest stations, in the quality control area, and at deployment sites, and you will write scripts to make all of it less manual.
It suits someone comfortable with a Linux terminal and a screwdriver in the same afternoon, who finds an unaccounted-for storage card genuinely intolerable.
WHAT YOU’LL DO
Own the ingest pipeline (the operations team runs it)
- Build, configure and maintain ingest stations — hardware, operating system, tooling — and replicate that build reliably across locations
- Own the ingest tooling in the field: deploy updates, fix what breaks, and carry requirements back to the software team
- Define the verification and media lifecycle rules the operations team follows — what must pass before a card is released for reuse, and what happens when it doesn’t
- Act as escalation for failed and partial ingests: determine whether the cause is media, device, station, tooling or procedure, and fix the underlying issue rather than the instance
- Audit that the process is actually being followed, and close the gaps you find
Own the hardware fleet
- Maintain inventory of capture devices, memory cards and drives across locations, with full chain of custody
- Run reconciliation and investigate discrepancies to root cause rather than writing them off
- Specify and evaluate hardware — cards, readers, hubs, enclosures, drives — and manage returns and warranty claims with suppliers
- Plan capacity: how many cards, how many drives, what rotation, with margin
Quality control
- Investigate recording failures with controlled tests rather than guesswork; isolate whether a fault sits in the device, the media, the station or the procedure
- Decide what gets escalated, repaired or retired, and document the evidence behind the call
- Define capture configuration standards and verify device settings in the field
Support the teams
- Be the technical escalation point for the operations lead, the quality control team and field operators
- Train operators on tooling and hardware, and write procedures a new joiner can follow unsupervised
- Travel to deployment sites as needed
Report
- Produce recording yield, data loss and operator performance reporting
- Be able to say whether a bad number reflects a real failure or an artefact of how it was measured
Automate
- Write Python and shell scripts to remove manual steps from the workflow
- Work with the software team on tooling requirements, and file precise bug reports when the software gets in the way
WHAT WE’RE LOOKING FOR
- A technical background — a degree in engineering or computer science, or equivalent hands-on experience. This is an engineering role that happens to involve hardware and field work, not a coordination role with a technical veneer
- Comfort in Linux: mounting and formatting media, filesystems, permissions, scheduled jobs, reading logs
- Working Python — enough to script a batch job, walk a directory tree, or call an API
- Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as part of how you work day to day. We expect you to use them to write scripts, investigate failures and draft procedures faster than you would alone, and to know where their output needs checking before it reaches a station or an operator
- Hardware troubleshooting instinct: forming a hypothesis, testing it, eliminating causes one at a time
- Real care about data integrity and chain of custody, and the discipline to follow a verification step even when it is inconvenient
- Clear written English — you will write procedures other people depend on
- Willingness to work with physical equipment and travel to sites
- Comfort in an environment where the process may not exist yet and you are expected to define it
NICE TO HAVE
- Experience with cameras or sensor hardware
- SQL, or experience querying an internal API for reporting
- Storage systems — RAID, ZFS, network-attached storage administration
- Prior work in data collection, field operations, logistics or laboratory operations
- Barcode or asset-tracking systems
Location: India
Workplace: OnSite
ABOUT HUMAN ARCHIVE
Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.
About the Role
We build and run the software platform behind a large-scale data collection and annotation operation: the system of record that tracks what was collected and by whom, the tooling annotators work in, the ingest integrations that move data from physical media into cloud storage, and the reporting that tells us whether any of it is working.
These are internal systems with real users — operators in the field, annotators working through millions of items, ingest stations moving terabytes, and machine clients writing back automatically. They are small enough that you will own whole systems and serious enough that correctness matters: a duplicated record or a dropped identifier means data that can no longer be traced to what produced it.
We want a strong generalist. You will design schemas, build APIs, write the interfaces on top of them, and deploy and debug the whole thing in production. Nobody here hands you a spec.
WHAT YOU’LL DO
- Design and build services end to end — schema, API, and the internal interfaces on top — primarily Python, FastAPI, PostgreSQL and React
- Build a bunch of dashboards and internal web apps to track metrics, KPIs and deployments
- Own data models where correctness is load-bearing: explicit table grain, immutable external identifiers, idempotent writes, derived rather than duplicated state
- Build tooling for human review workflows, including putting model output in front of people to correct rather than having them start from scratch
- Build and maintain integration surfaces for machine clients — automated processes that read and write over authenticated service endpoints
- Deploy and operate on AWS (object storage, CDN, DNS, identity, load balancing), and lead debugging when something breaks across those layers
- Do the performance work: query profiling, indexing, caching, and the aggregate views that keep reporting responsive
- Work directly with the operations team — the people using what you build are down the hall, and their workflow constraints are the requirements
WHAT WE’RE LOOKING FOR
- Strong Python in production, with FastAPI or a comparable framework, and real PostgreSQL depth: schema design, indexing, query performance, migrations
- Enough front-end capability to own the client as well as the server — React and TypeScript. You need not be a design specialist, but you should ship a usable internal tool without waiting for one
- API design judgment: versioning, idempotency, batch endpoints, and failure semantics that return per-item results rather than failing everything
- Data-integrity instincts. You should be able to explain why deriving a value beats storing a second copy of it, and why a client-generated identifier solves a retry problem
- Ability to debug across boundaries — application, database, network, cloud service — and to isolate a fault to a layer before proposing a fix
- Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as a normal part of how you build. We care that you ship well with them and that you review what they produce: you own the code that lands, whoever or whatever drafted it
- Comfort with ambiguity and ownership: choosing an approach, writing down why, and living with the consequences
- Clear technical writing
NICE TO HAVE
- Serving or integrating model inference in a production path — batching, latency, versioning, handling low-confidence output
- Annotation, labelling, or any human-in-the-loop review system
- Clients that must tolerate unreliable connectivity and reconcile cleanly afterwards
- Media or sensor data at scale — video pipelines, large binary object storage, structured time-series recording formats
- Infrastructure as code, CI/CD, or observability — we are light here and would welcome someone who raises the floor
- Tooling that exposes internal data to language models
Location: Santa Clara, CA
Workplace: onsite
Role Overview
We are looking for a Senior Software Engineer to own the systems that power a large-scale data collection operation, including the collection platform, operator tooling, data pipeline, and fleet infrastructure.
This is an engineering role. Day-to-day teleoperation is performed by a dedicated operator team that you direct — you build what they run on, and you own what comes out of it.
Project Details
Location: 100% Onsite (Santa Clara, CA, US)
Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM
Start Date: ASAP
Contract Duration: 12-month contract with possibility of extension
Rate: $105/hour
What You’ll Do
Design, build, and maintain the software behind our data collection stations — teleoperation stack, multi-camera recording, and session tooling.
Deploy and upgrade that stack across the fleet without stopping collection; keep workstations, containers, and networking healthy.
Own the data pipeline end to end: automated validation, conversion into our dataset format, upload, metadata, and versioning.
Build the QA tooling that catches dropped frames, stream desync, bad calibration, and mislabeled episodes before data reaches training.
Direct a team of teleoperators — define task protocols and SOPs, onboard them on new tasks and embodiments, review session quality, and unblock them daily.
Own fleet reliability: calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation.
Bring up new stations and new embodiments; report throughput, yield, and data health to the research team.
What we need to see
MS in CS, Robotics, EE/ME, or a related field (or BS with equivalent hands-on experience).
3+ years building software for real robot systems — not simulation only.
A system you designed and shipped that other people depended on daily, and that you kept running.
Strong Python and Linux; Docker, git, CI, and SSH-based fleet administration.
Robot middleware and real-time multi-sensor recording — ROS 2 or equivalent vendor SDKs.
Experience supporting a data collection or teleoperation operation: you have built the tools operators depend on and owned throughput and quality numbers.
Comfortable around robot hardware — arms or humanoids, dexterous hands, RGB-D cameras, and the calibration that keeps them honest.
Able to lead operators without formal authority: you write clear SOPs, train people, and communicate status without being asked.
Ways to stand out from the crowd
Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands.
XR teleoperation: Quest / PICO / Vision Pro, motion-capture gloves, whole-body retargeting.
Imitation-learning data tooling — LeRobot, HDF5/Zarr episode stores, dataset versioning, S3 at TB–PB scale.
Built internal dashboards or tooling for a production line or high-throughput lab.
Open-source contributions to robotics data or teleoperation tooling.
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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.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it.
WHAT YOU'LL DO
New Product Introduction (NPI)
- Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production.
- Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes.
- Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures.
- Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget.
Manufacturing Scalability
- Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production
- Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases.
- Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation.
- Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production.
Quality & Defect Reduction
- Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues.
- Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow.
- Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs.
- Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs.
Supplier Management
- Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling.
- Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements.
- Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management.
- Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers.
WHAT WE'RE LOOKING FOR
- Bachelor's degree in Mechanical Engineering or a related field.
- 10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment.
- Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems.
- Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.).
- Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC.
- Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution.
- Experience standing up or scaling manufacturing lines at contract manufacturers.
- Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders.
- Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international).
Preferred Qualifications:
- Experience in robotics, automation, or other complex mechatronic products.
- Familiarity with PLM/ERP systems and NPI program management tools.
- Six Sigma or equivalent quality certification.
- Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO).
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors.
You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms.
The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).
WHAT YOU’LL DO
Low-Level Control Development
- Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2.
- Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation.
- Implement safety and fault-handling mechanisms for dynamic conditions.
Modeling, Kinematics & System Identification
- Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation.
- Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry.
Software & Systems Integration
- Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics.
- Design and debug multi-layer control architectures.
- Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging.
Sensor & Hardware Integration
- Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack.
- Hands-on hardware bring-up and debugging.
Cross-Disciplinary Collaboration
- Close the loop with mechanical/electronics engineers across sites on actuation requirements;
- Support hardware bring-up, calibration, and performance testing.
WHAT WE'RE LOOKING FOR
- M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts.
- Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme.
- Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it.
- Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux.
- Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro.
PREFERRED QUALIFICATIONS
- BLDC motor control (commutation, current control, torque optimization)
- ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes).
- Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors.
- System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF.
- Experience with dynamic system modeling and simulation at the actuator and transmission level.
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
ОфисUS, Boston, MA
УдалённоUS (Remote); US, San Diego, CA
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leadSan Francisco, CA; Candidates based outside the Bay Area are not expected to be in the studio regularly, but should be available to travel as needed for IDEO and client work; Please note that the successful candidate must be based in the United States and have the unrestricted right to work in the US