Forward Deployed Software Engineer

About

Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist- scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.

Role

As a Forward Deployed Software Engineer , you will work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Edison’s platforms for some of their most critical research, and projects. As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important scientific research.

Responsibilities

• Work directly with scientists, researchers, and external partners to deeply understand their workflows and translate real-world needs into high-impact technical solutions.


• Build, deploy, and iterate on production-ready software in fast cycles, often owning features end-to-end - from architecture to implementation to on-the-ground rollout.


• Integrate AI-driven tools into customer environments, ensuring reliability, usability, and measurable scientific or operational impact.


• Serve as the technical point-of-contact during deployments, troubleshooting issues in real time and collaborating closely with product, engineering, and research teams.


• Capture field insights (pain points, user behavior, unmet needs) and feed them back into product roadmaps to help shape future capabilities and accelerate adoption.

Qualifications

• 2+ years of professional software engineering experience.


• Strong engineering foundation, ideally in Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related technical field.


• Proficiency in one or more programming languages such as Python, TypeScript/JavaScript, or similar.


• Experience building and shipping production-grade software in fast-paced or ambiguous environments.


• Ability to work directly with end users — gathering requirements, translating feedback into technical solutions, and iterating quickly.


• Strong problem-solving skills and comfort navigating complex systems, debugging issues in real time, and owning features end-to-end.


• Excellent communication skills; able to interface with engineers, scientists, and external partners with clarity and empathy.


• Willingness to operate hands-on, learn new domains quickly, and adapt to rapidly evolving priorities.

Bonus points for:

• Experience working with AI/ML systems, APIs, distributed systems, or scientific/technical workflows.

Location + Compensation

• This role can be remote and based anywhere outside of California, as you will spend the majority of your time deployed at customer sites across the U.S.
  
  
  
  • Location: San Francisco Bay Area (preferred). Remote U.S. locations will be considered depending on experience and customer deployment needs.
  
  

• At Edison Scientific, we know that titles can cover a range of experience levels. Actual base pay will depend on factors such as skills, experience, and scope of responsibility. Compensation ranges may evolve as we continue to grow. In addition to base pay, team members may be eligible for equity, benefits, and other perks.
  
  
  
  • Compensation: $165,000+