> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)

Canonical URL: https://nextmove.md/fde/jobs/1f4ccd670bfaf5d4

Lila Sciences posts a staff FDE role to build what the customer runs in Cambridge, MA and 1 more, at $192,000–$256,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Embeds with internal and external materials science teams to identify customer problems and rapidly build and deploy production solutions on the Lila platform. Read from the employer’s posting on November 8, 2026.

- [Lila Sciences](https://nextmove.md/fde/companies/lila-sciences)

Posted Oct 6, 2025 by Lila Sciences · open on Greenhouse as of Nov 8, 2026

**$192,000–$256,000** Cambridge, MA +1 Full-time

Embeds with internal and external materials science teams to identify customer problems and rapidly build and deploy production solutions on the Lila platform.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F1f4ccd670bfaf5d4&placement=top)
- [View posting at Lila Sciences](https://job-boards.greenhouse.io/lilasciences/jobs/4031303009)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$192K–$256K Above the median

Midpoint $224K · median $190K

This job $192K to $256K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations (not covered)

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Senior

- **Role**: Individual contributor

### Do you meet what the posting states?

The posting reads as a senior role. What level are you at now?

The job is in Cambridge, MA · San Francisco, CA. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Cambridge, MA · San Francisco, CA

- **Employment type**: Full-time

- **Travel**: Travel required, amount not stated

- **Pay**:

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## The job description from Lila Sciences

Posted by Lila Sciences on Oct 6, 2025

### Your Impact at LILA

We're seeking extraordinarily talented Forward Deployed Engineers to join our growing team. Our FDEs are high-performing generalists with a broad set of skills across scientific domains and software engineering, in addition to depth in one or more focus areas.

As an FDE, you'll embed directly within our internal and external materials science teams, living their problems and rapidly ideating, building, and deploying solutions that transform their capabilities across the Lila platform. You'll leverage our AI and software platform tools while developing custom features that address each customer's unique challenges. This isn't traditional software development—it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months.

### What You'll Be Building

- Developing, wrapping, and adapting domain-specific tools for data analysis, process optimization, and more.
- Deploying custom agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA).
- Building real-time data pipelines that transform scientific data into actionable insights.
- Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists.

### What You'll Need to Succeed

- Domain expertise in chemistry, materials science, or related field.
- Ability to communicate effectively with external partners and internal product and technical leaders.
- Experience with data engineering, ETL pipelines, and working with complexdatasets.
- Strong full-stack development skills with the ability to work across backend, frontend, and data layers.
- Exceptional problem-solving abilities and comfort with ambiguous requirements.
- Knack for product discovery and an ability to pass well-defined customer requirements back to the product teams.
- Willingness to travel to customer sites for engineering deployments

### Bonus Points For

- Previous customer-facing or consulting experience.
- Depth in controls engineering and machine learning.
- Experience with atomistic simulation software ( VASP; Quantum Espresso ).
- Familiarity with ML/AI implementation and deployment.
- Familiarity with modern web technologies (TypeScript, React).

### What Makes a Great FDE

- Customer Obsessed: You're energized by understanding customer problems deeply and seeing your solutions drive real impact.
- Fast Learner: You quickly grasp new scientific domains and translate complex requirements into elegant solutions.
- Autonomous: You thrive with minimal supervision and take extreme ownership of customer success.
- Collaborative: You work seamlessly with both technical and non-technical stakeholders.
- Technically Versatile: You're comfortable jumping between technologies and picking up new tools as needed.

### Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

**U.S. Benefits.** Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

**International Benefits.** Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range

$192,000—$256,000 USD

### About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

### We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

### A Note to Agencies

*Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.*

[View posting at Lila Sciences](https://job-boards.greenhouse.io/lilasciences/jobs/4031303009)

## About Lila Sciences

Lila provides a scientific superintelligence platform and AI Science Factories that generate hypotheses, design and run experiments, and learn from results for life, chemistry, materials, energy, and defense R&D.

Series A · 200–500 people

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