Flow Engineering
hardware development
Flow is the iterative requirements and verification platform built for hardware teams to ship complex systems faster.
Flow Engineering在招聘吗?
是的。截至2026年10月6日,Flow Engineering在 Metaintro 上有25 个在招职位。 其中21 个发布于最近 30 天内。
在招职位
按最新排序。招聘信息注明薪酬时会显示。
- Forward Deployed Engineer开发者London · 现场办公London现场办公—4天前
- Senior Product Engineer开发者San Francisco · 现场办公 · $190K – $250K/yrSan Francisco现场办公$190K – $250K/yr6天前
- Head of Forward Deployed Engineering通用技术San Francisco · 现场办公 · $240K – $300K/yrSan Francisco现场办公$240K – $300K/yr13天前
- Solutions Architect销售Los Angeles · 远程 · $160K – $210K/yrLos Angeles远程$160K – $210K/yr19天前
- Solutions Architect销售Washington · $160K – $210K/yrWashington—$160K – $210K/yr19天前
- Solutions Architect销售Austin · 远程 · $160K – $210K/yrAustin远程$160K – $210K/yr19天前
- Senior/Staff Software Engineer开发者London · 现场办公London现场办公—21天前
- Head of Solutions Engineering产品/项目管理San Francisco · 现场办公 · $195K – $265K/yrSan Francisco现场办公$195K – $265K/yr22天前
招聘模式
Flow Engineering 新增职位的速度,以及职位的办公方式。
每月新增职位当月首次发布的职位
职位的办公方式占在招职位的比例
客户
Flow Engineering 列出的全部 27 家客户。
正在招聘的客户9
- Astranis146 个在招职位

- Skydio136 个在招职位

- Isar Aerospace103 个在招职位

- Stoke Space60 个在招职位

- Rhoda.AI46 个在招职位
- Aalyria39 个在招职位
- Astrolab39 个在招职位

- Exowatt15 个在招职位
.png&sig=ahO6EfLZfMCpJBH6K563gBT0ChERVdxE_GDxHrnDz9o)
- Rivian3 个在招职位

客户案例6
- RRondo
- XXona Space Systems
- FFirestorm Labs
- deltaVision

- CCastelion
- MMytra
其他客户12
- SScott MacKenzie portrait
- Stoke
- RRyan McCullough portrait
- SSunflower Labs
- SSunflower Labs scene
- CChris Eheim portrait
- BBright AI
- GGravitics
- OOpenStar
- RRivian and Volkswagen Group Technologies
- GGMPPU
- Joby

客户怎么说
来自 Flow Engineering 客户的评价。
“Flow enables over 1,000 engineers to work efficiently, stay aligned, and maintain rigor, becoming integral to our teams' daily rhythm and making a significant impact.”
“Flow is the requirements management tool of our dreams. It reflects how we work—fast, iterative, and focused on giving everyone a common, integrated view of our system.”
“We're building a complex autonomous system, and things change fast. We didn't want a tool that slows us down. Flow was built for the kind of iterative engineering we actually do.”
AI 发布与合作伙伴
Flow Engineering 在 AI 方面发布了什么,以及与谁合作。
- 合作Rivian and Volkswagen Group TechnologiesRV Tech and Flow are building the engineering stack for the software-defined vehicle, where AI helps engineering teams keep requirements, architecture, and verification aligned across multiple brands, dozens of models, and millions of vehicles.
- 发布Flow AgentsFlow provides AI agents that continuously align CAD, simulation, code, and test.
- 合作Rivian and Volkswagen Group TechnologiesRV Tech and Flow are building the engineering stack for the software-defined vehicle, where AI helps engineering teams keep requirements, architecture, and verification aligned.
- 发布Secure AI by DesignFlow provides private inference and a full audit trail on every AI action, and says nothing is used for model training.
所需技能
在招职位中出现最多的技能。
最常要求的技能
- APIs
- Python
- Integrations
- Systems engineering
- Data migration
- Configuration
- Training
- Change management
- Technical discovery
- Security questionnaires
- Technical demos
- LLM APIs
技术栈
- 框架
- Next.js
- 分析
- Google Tag Manager
- Google Analytics 4
- CMS
- Sanity
- 库
- Tailwind CSS
公司信息
- 行业
- hardware development
- 行业(NAICS)
- 专业、科学和技术服务
- 同类公司
- Comate
按地点划分的职位
Flow Engineering 的招聘地点。选择城市以查看该地的职位。
相似公司
与 Flow Engineering 同一行业、目前正在招聘的公司。
关于 Flow Engineering 的问题
- Flow Engineering在招聘吗?
- 是的。截至2026年10月6日,Flow Engineering在 Metaintro 上有25 个在招职位。 其中21 个发布于最近 30 天内。 职位最多的团队是 Sales(13)、Developer(8)和Artificial Intelligence/Machine Learning(1)。
- Flow Engineering 在哪些地方招聘?
- Flow Engineering 正在 San Francisco、London、Austin、Los Angeles和Washington 招聘,其中 San Francisco 的在招职位最多。
- Flow Engineering 提供远程或混合办公吗?
- 在招职位中,3% 为混合办公,16% 为远程。
- Flow Engineering 的客户有哪些?
- Flow Engineering 列出了 27 家客户,包括 Astranis、Skydio、Isar Aerospace、Stoke Space和Rhoda.AI。
- Flow Engineering 看重哪些技能?
- 其在招职位最常要求 APIs、Python、Integrations、Systems engineering和Data migration。