前向部署工程师
Forward Deployed Engineer
职位描述
作为Field AI的前线部署工程师，你将处于将我们的自主系统带入现实世界的最前沿，负责现场的部署、集成和持续性能。这个角色既需要工程能力，也需要解决问题的能力。你将与客户和内部团队紧密合作，确保操作成功，快速整合现场反馈以提高可靠性和性能，并推动采用，使我们的系统从第一天起就成为关键任务。
薪酬与福利
我们根据个人背景和经验来确定最终薪资；提供的基本工资可能因地理位置、与工作相关的知识、技能和经验而有很大差异。此外，虽然我们喜欢在办公室一起工作，但我们也愿意探索混合办公或远程办公的选项。
为什么加入Field AI？
我们正在解决世界上最复杂的挑战之一：在非结构化、之前未知的环境中部署机器人。我们的Field基础模型™在感知、规划、定位和操作方面设定了新的标准，确保我们的方法在部署时具有可解释性和安全性。
你将有机会与一支世界级的团队合作，他们以创造力、韧性和大胆的思维而著称。凭借十年的现场解决方案部署经验，赢得DARPA挑战赛部分，并拥有来自DeepMind、NASA JPL、Boston Dynamics、NVIDIA、Amazon、Tesla Autopilot、Cruise Self-Driving、Zoox、Toyota Research Institute和SpaceX等组织的专业知识，我们正致力于实现雄心勃勃的目标。
成为下一次机器人革命的一部分
为了应对如此雄心勃勃的挑战，我们需要一支与我们的愿景一样独特的团队——创新者，他们超越传统方法，渴望解决困难的、未探索的问题。我们寻找那些挑战现状、深入未知领域并带来跨学科专业知识的人。我们的团队不仅需要顶尖的AI人才，还需要出色的软件开发人员、工程师、产品设计师、现场部署专家和沟通者。
我们总部位于阳光充足的南加州欧文市，拥有美国本土和全球的团队成员。
加入我们，塑造未来，成为一支有趣、紧密合作的团队的一员。
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About the Job
As a Forward Deployed Engineer at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.
Compensation and Benefits
We take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
What You'll Get To Do
- 1. Field Deployment & Operations
- Lead the end-to-end deployment of autonomous systems in customer environments.
- Ensure systems are configured, tested, and operational under real-world conditions.
- Troubleshoot and resolve technical issues quickly to maintain uptime and mission success.
- 2. System Reliability & Performance
- Gather and analyze field feedback to identify areas for improvement.
- Work closely with product and engineering teams to drive enhancements into the core system.
- Implement monitoring and diagnostic tools to ensure sustained reliability.
- 3. Customer Enablement & Adoption
- Partner with customer teams to train and support operators in achieving operational readiness.
- Translate complex technical concepts into clear, actionable workflows.
- Act as a trusted advisor to accelerate adoption and long-term value realization.
- 4. Cross-Functional Collaboration
- Serve as the voice of the customer, bringing field insights back to engineering and product teams.
- Collaborate across software, hardware, and AI research groups to deliver integrated solutions.
- Contribute to building scalable deployment practices and playbooks for future rollouts.
What You Have
- Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience).
- 2-3 years of experience in software engineering, systems integration in Field Robotics industry.
- Experience in field deployment of complex technical systems.
- Proficiency in Python, C++, Git, ROS.
- Familiarity with Linux-based systems, containerization, and cloud infrastructure.
- Strong troubleshooting and debugging skills across software, hardware, and networking layers.
- Self-starter mindset with the ability to thrive in ambiguous and rapidly changing environments.
Extras That Set You Apart
- Experience deploying, operating, or maintaining mission-critical systems in real-world environments.
- Experience using Jira or Wrike or Confluence or other program management software tools
- Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions.
- Excellent communication skills, with the ability to explain technical concepts to non-technical users.
- Willingness to travel and work on-site with customers as needed.