> 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. # Member of Technical Staff — Deployment Engineering Canonical URL: https://nextmove.md/fde/jobs/220ec67c3b04539f Causal Labs posts a FDE role to build what the customer runs in San Francisco, CA with no pay posted. Deploy AI systems, data infrastructure, and integrations with strategic customers making consequential decisions about physical systems. Read from the employer’s posting on November 8, 2026. - [Causal Labs](https://nextmove.md/fde/companies/causal-labs) Posted Jul 20, 2026 by Causal Labs · open on Ashby as of Nov 8, 2026 Pay not posted San Francisco, CA On-site Full-time Deploy AI systems, data infrastructure, and integrations with strategic customers making consequential decisions about physical systems. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F220ec67c3b04539f&placement=top) - [View posting at Causal Labs](https://jobs.ashbyhq.com/causal/f5b4dc11-806f-4c98-b0e1-811ec337109e/application) 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 Not posted 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**: External customers - **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 San Francisco, CA. Could you work there? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Travel**: Travel required, amount not stated ## More like this [BCG](https://nextmove.md/fde/companies/bcg) ### [Forward Deployed AI Engineer, United States - BCG X](https://nextmove.md/fde/jobs/cf94a12d13c41b68) Boston, MA · New York, NY · +10 more On-site 6w ago $110,000–$190,000 [Clera](https://nextmove.md/fde/companies/clera) ### [Founding Forward Deployed Engineer](https://nextmove.md/fde/jobs/7d45a70feeb21283) San Francisco, CA On-site 3mo ago Pay not posted [Intercom](https://nextmove.md/fde/companies/intercom) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/0b7b9b01aafdb7a1) San Francisco, CA Hybrid 9d ago $180,000–$237,000 - [Other jobs at Causal Labs (1)](https://nextmove.md/fde/companies/causal-labs) ## The job description from Causal Labs Posted by Causal Labs on Jul 20, 2026 Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather. Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN. ### About the deployment team A model only matters if it changes what happens in the real world. Our deployment teams embed directly with the institutions that make the highest-stakes decisions about physical systems. They turn our models into results those institutions can depend on and carry everything we learn in the field back into the product. Deployment works in small, cross-functional pods and partners closely with Product Engineering, which builds the platform the pods deploy. ### About the role We look for engineers who are excited to tackle unsolved problems. They thrive in high stakes situations, sitting next to the people in the field who depend on the answers. You embed with the institutions using our models to make consequential decisions about the physical world. Your mission is to make sure we build the *right* solution for a customer's mission: delivering the data infrastructure, integrations, and AI systems that work in practice, not just in theory — and expanding our core product to solve new problems as you discover them. **Willingness to travel to and spend extended time on-site with customers is required.** ### Responsibilities - Embed with strategic customers to understand their mission and ensure we build the solution that actually solves it - Deliver scalable data infrastructure and integrations inside real customer environments - Design and ship AI systems that hold up under real-world conditions, data, and constraints - Surface new problems as you find them in the field, and extend our core platform to handle them - Work hands-on across the stack — technical, resourceful, and close to the user ### What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. - Strong, versatile engineering skills and the resourcefulness to solve unfamiliar problems with whatever it takes - Experience building and shipping real systems in production — data infrastructure, integrations, applications - Comfort working directly with customers and adapting fast to their environments and constraints - Willingness to travel and embed on-site wherever the mission needs you - A bias toward real-world impact over elegance: solutions that work for the user, under pressure [View posting at Causal Labs](https://jobs.ashbyhq.com/causal/f5b4dc11-806f-4c98-b0e1-811ec337109e/application) ## About Causal Labs Builds a Large Physics foundation Model to predict physical systems and support decisions, beginning with weather. Seed · 10–50 people ## Similar jobs [Bain](https://nextmove.md/fde/companies/bain) ### [Lead, Engineering Excellence](https://nextmove.md/fde/jobs/22a12cc51fef0229) Atlanta, GA · Austin, TX · +8 more Hybrid 2mo ago $179,875–$203,925 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior Applications Software Engineer, Perception and Sensor Fusion](https://nextmove.md/fde/jobs/561089c546feb404) Santa Clara, CA 6w ago $152,000–$287,500 [Capgemini](https://nextmove.md/fde/companies/capgemini) ### [Capgemini Invent - Senior Consultant, Forward Deployed Engineer](https://nextmove.md/fde/jobs/0014ace4470c3ce5) Seattle, WA · New York, NY · +4 more 2mo ago $112,600–$212,700 [Artificial Intelligence Underwriting Company (AIUC)](https://nextmove.md/fde/companies/artificial-intelligence-underwriting-company-aiuc) ### [Forward-Deployed Engineer](https://nextmove.md/fde/jobs/575779887c729d4d) San Francisco, CA On-site 2mo ago $200,000–$400,000 [Column](https://nextmove.md/fde/companies/column) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/8708e316d3429f3b) San Francisco, CA On-site 4w ago $130,000–$250,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Causal Labs and want this page changed or removed? 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