> 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. # Deployments Software Engineer Canonical URL: https://nextmove.md/fde/jobs/bc0180c57a5392c1 Physical Intelligence posts a FDE role to build what the customer runs in San Francisco, CA with no pay posted. This role is on the Deployments team at Physical Intelligence, responsible for integrating state-of-the-art vision-language-action models with robots deployed on customer sites. Read from the employer’s posting on November 8, 2026. - [Physical Intelligence](https://nextmove.md/fde/companies/physical-intelligence) Posted Jun 8, 2026 by Physical Intelligence · open on Ashby as of Nov 8, 2026 Pay not posted San Francisco, CA On-site Full-time This role is on the Deployments team at Physical Intelligence, responsible for integrating state-of-the-art vision-language-action models with robots deployed on customer sites. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fbc0180c57a5392c1&placement=top) - [View posting at Physical Intelligence](https://jobs.ashbyhq.com/physicalintelligence/1e8a741a-d415-4c34-9ac8-eda4c5393e41/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 Mid-level FDE postings, 106 postings: the middle 50% of posted pay is $123K to $162K, median $149K. ### 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 - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Mid - **Role**: Individual contributor ### Do you meet what the posting states? The posting reads as a mid-level role. What level are you at now? The job is in San Francisco, CA. Could you work there? 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**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time ## More like this [Palantir](https://nextmove.md/fde/companies/palantir) ### [Forward Deployed Infrastructure Engineer, Internship - US Government](https://nextmove.md/fde/jobs/5cd7717124410282) Palo Alto, CA On-site 4mo ago $120,000 [Arkham Technologies Inc.](https://nextmove.md/fde/companies/arkham-technologies-inc) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/fa3df20a38255419) Palo Alto, CA 2w ago Pay not posted [Sift](https://nextmove.md/fde/companies/sift) ### [Application Software Engineer](https://nextmove.md/fde/jobs/14809e80210a38c9) San Francisco, CA · Los Angeles, CA Hybrid 3mo ago $125,000–$175,000 ## The job description from Physical Intelligence Posted by Physical Intelligence on Jun 8, 2026 ### Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. Deploying robots into the real world takes more than a capable model - it takes designing a physical system that's fast, safe, and reliable enough to run unattended on a customer's floor, backed by software you can observe, debug, and trust if something goes wrong. As a Robotics Software Engineer, you'll build that system. You'll integrate state-of-the-art models with robots that work on-site - building system safeguards, the teleoperation interfaces operators rely on, and the latency optimizations that make remote control feel instant. You'll work with researchers, platform engineers, and robot operators to make the whole stack dependable enough that customers bet their operations on it. ### The Team The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we’re a full-stack robotics team - whether it’s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer. ### In This Role You Will **- Design remote teleoperation interfaces:** Develop comfortable and precise interfaces for controlling robots with many degrees of freedom **- Optimize for low-latency network performance: **Engineer teleoperation interfaces that can continue functioning even in weak internet areas **- Optimize System Performance:** Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput. **- Streaming & Video Systems:** Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter. **- Reliability & Debugging:** Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces. **- Cross-Functional Collaboration:** Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows. ### What We Hope You’ll Bring - Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software. - Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict. - Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components. - Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues. - A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness. - Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface. ### Bonus Points If You Have - Experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines. - Camera system expertise (synchronization, capture pipelines, codecs, GPU offload). - Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations). - Background in robotics or autonomous systems (implementation, not research). - Familiarity with distributed systems that process real-time data flows. *Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.* [View posting at Physical Intelligence](https://jobs.ashbyhq.com/physicalintelligence/1e8a741a-d415-4c34-9ac8-eda4c5393e41/application) ## About Physical Intelligence Building vision-language-action foundation models that enable generalist robots to perform complex manipulation and mobility tasks across diverse real-world environments. Series B · 100–200 people ## Similar jobs [Deepgram](https://nextmove.md/fde/companies/deepgram) ### [Forward-Deployed Engineer (FDE), Strategic Accounts](https://nextmove.md/fde/jobs/15bda554e4bf3180) San Francisco, CA · New York, NY On-site 2mo ago $155,000–$193,000 [11x](https://nextmove.md/fde/companies/11x) ### [Forward Deployed Engineer [REMOTE - US]](https://nextmove.md/fde/jobs/ae299b4675bb88c5) San Francisco, CA · US remote Remote 7w ago $180,000–$200,000 [Persona](https://nextmove.md/fde/companies/persona) ### [Field Product Engineer](https://nextmove.md/fde/jobs/40116663481493ba) San Francisco, CA Hybrid 2w ago $100,000–$110,000 [Giga](https://nextmove.md/fde/companies/giga) ### [Forward Deployed Engineer I/II](https://nextmove.md/fde/jobs/a8c1bc68a76e5ecc) San Francisco, CA On-site 4mo ago $100,000–$190,000 [Charta Health](https://nextmove.md/fde/companies/charta-health) ### [Software Engineer (FDE / Platform) - Intern](https://nextmove.md/fde/jobs/e25de0e0ad62dad9) San Francisco, CA On-site 2mo ago $83,200–$124,800 - [Compare mid FDE salary ranges](https://nextmove.md/fde/salary/mid-level) - [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 Physical Intelligence and want this page changed or removed? 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