现场工程师
Field Engineer
现场工程师
职位介绍
公司简介:TurbineOne是一家快速发展的高性能初创公司,使命是为所有在美国国家前线服役的美国人增强态势感知能力——我们得到了最优秀的国防科技风投公司的支持。我们的前线感知系统是一种以边缘计算为核心的软件平台,使任何人,即使没有技术知识,也能在通信受限的战术环境中构建和使用机器学习模型。
我们快速发展的初创公司正在寻找一位有才华且多才多艺的现场工程师加入我们的团队。在这个职位上,你将处于部署我们创新的机器学习解决方案的最前沿,在高风险环境中与国家安全客户直接合作,确保我们系统的无缝集成和最佳性能。作为开发团队和最终用户之间的关键纽带,你将有机会对国家安全运作产生重大影响,同时推动机器学习技术的边界。如果你能在快节奏、具有挑战性的环境中茁壮成长,并对先进技术与关键任务的结合充满热情,我们希望听到你的声音。
职位名称:现场工程师
- 汇报对象:工程运营经理
- 工作地点:可在家办公,但需要频繁出差
主要职责:
- 能够并愿意每年出差多达50%的时间。
- 理解客户需求和要求,使用前线感知系统(FPS)提供定制的集成解决方案。
- 识别并定义将FPS与现有和新兴系统集成的过程。
- 编写软件脚本以实现系统集成和解决方法。
- 与工程、产品和客户成功团队紧密合作,交付稳健的集成解决方案。
- 进行现场评估和分析,了解客户基础设施并推荐最佳集成策略。
- 制定详细的集成计划、时间表和文档,指导实施过程。
- 在集成和部署阶段为客户提出现场技术支持和培训。
- 持续收集客户反馈,迭代改进集成流程和FPS功能。
- 通过及时排查和解决集成问题,确保现场部署的成功。
在典型的一天中,你将:
- 为每个分配的项目配置和设置FPS部署
查看英文原文
Field Engineer
ABOUT THE JOB
Company Intro: TurbineOne is a fast-moving and high-performance startup with a mission to strengthen situational awareness for all Americans serving at our nation’s frontlines - and we are backed by the best DefenseTech venture capitalists. Our Frontline Perception System is an edge-first software platform that allows anyone, even with no technical knowledge, to build and use machine learning models within a comms-contested tactical environment.
Our rapidly growing startup seeks a talented and versatile Field Engineer to join our dynamic team. In this role, you'll be at the forefront of deploying our innovative ML solutions in high-stakes environments, working directly with national security customers to ensure seamless integration and optimal performance of our systems. As a crucial link between our development team and end-users, you'll have the opportunity to significantly impact national security operations while pushing the boundaries of ML technology. We want to hear from you if you thrive in fast-paced, challenging environments and are excited about the intersection of advanced technology and critical missions.
Job Title:Field Engineer
- Reporting to: Engineering Operations Manager
- Location:Geographically flexible for home-office with frequent travel required
Primary Responsibilities:
- Be willing and able to travel up to 50% of the year.
- Understand customer needs and requirements, providing tailored integration solutions using the Frontline Perception System (FPS).
- Identify and define integration processes for integrating FPS with existing and emergent systems.
- Write Software Scripts to enable system integrations and workarounds.
- Collaborate closely with engineering, product, and customer success teams to deliver robust integration solutions.
- Conduct on-site assessments and evaluations to understand customer infrastructure and recommend optimal integration strategies.
- Develop detailed integration plans, timelines, and documentation to guide the implementation process.
- Provide hands-on technical support and training to customers during the integration and deployment phases.
- Continuously gather feedback from customers to iterate and improve integration processes and FPS capabilities.
- Ensure successful field deployments by troubleshooting and resolving integration issues promptly.
On a Typical Day You Would:
- Provision and configure FPS deployments for each engagement you are assigned to.
- Meet with customers to gather and understand their specific integration needs and constraints.
- Design and document a tailored integration process for the customer’s existing or emergent systems.
- Write a js or python script to route data generated in FPS to a client system via api subscription.
- Deploy and configure FPS on-site, ensuring seamless integration with the customer’s infrastructure.
- Provide technical training and support to customer teams, ensuring they are confident in using FPS.
- Collaborate with internal teams to refine and improve FPS based on field experiences and customer feedback.
- Troubleshoot and resolve any technical issues that arise during integration and deployment.
Desired Experience and Attributes:
- High standard of ethics, grit, integrity, and moral character.
- 5+ years of work experience in system integration, preferably within defense or related industries.
- Strong understanding of machine learning concepts and their practical applications.
- Good understanding of networking concepts, LAN vs WAN, ssh, ip, DHCP etc.
- Proven experience in integrating complex software systems with existing infrastructure.
- Excellent problem-solving skills and ability to think critically in high-pressure environments.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Willingness to travel frequently and work on-site with customers as needed.
- A college degree in Computer Science, Engineering, or related field is preferred.
Startup Culture Expectations:
- We’re a small, fully remote team, and everything is our responsibility.
- Our team thrives on autonomy, trust, and solid communication.
- Everyone on the Team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves.
Eligibility:
· Must be eligible to obtain a clearance with the U.S. government.
For internal use during the hiring process:
Desired Skills:
- Experience in engineering complex production systems.
- Proven track record in system integration and deployment.
- Experience working in resource-constrained environments.
- Strong technical documentation and communication skills.
Desired Attributes:
- Strong interest in understanding and solving customer problems.
- Demonstrable self-starter with a proactive approach to problem-solving.
- A huge amount of inquisitiveness and interest in how systems work and a willingness to jump in anywhere and spend time debugging.
Culture Fit:
- Humility around the problem space and the problem set.
- Inquisitiveness and interest in meeting customer needs.
- Comfortability with a fully-remote position and frequent travel requirements.
Compensation:
· The base salary range for this role is $130,000–$185,000. Actual compensation will be determined based on experience, skills, and geographic location.
Originally posted on Himalayas