How to Apply to Physical Intelligence

Key Takeaways

Read Pi's published research on π0 before applying — referencing their specific technical approach in your application or interview immediately differentiates you from generic applicants
Mirror Physical Intelligence's exact terminology in your resume: 'foundation models,' 'dexterous manipulation,' 'physical AI,' and 'general-purpose robotics' are keywords their team uses and searches for
Submit your resume as a single-column PDF through Ashby, using standard section headers, to ensure clean parsing and a professional candidate profile
For hands-on roles (Technician, Shift Lead, Prop Organizer), emphasize specific hardware skills, lab environments you've worked in, and your track record of reliability and precision
Prepare to explain why you want to work at Physical Intelligence specifically — not just 'in robotics' or 'at a startup' — by connecting your career trajectory to their mission of bringing AI to the physical world
Apply promptly — with only 16+ open roles at a company receiving significant industry attention, positions are likely competitive and may close quickly once strong candidate pools are assembled

About Physical Intelligence

Physical Intelligence (commonly stylized as π or 'Pi') is a San Francisco-based robotics and AI startup on a mission to bring general-purpose artificial intelligence into the physical world. Founded in 2024 by a team of world-class robotics researchers — including veterans from Google DeepMind, Stanford, and UC Berkeley — the company is building foundation models for robot control, aiming to do for physical manipulation what large language models have done for text. Their flagship model, π0 (pi-zero), represents a breakthrough approach to robot dexterity, enabling machines to learn generalized physical tasks rather than being narrowly programmed for a single function. Physical Intelligence has attracted extraordinary attention and funding, reportedly raising over $400 million at a multi-billion dollar valuation within its first year — a testament to investor confidence in both the team and the enormous market opportunity of general-purpose robotics. The company sits at a rare intersection of cutting-edge AI research and tangible, real-world engineering, which means the culture blends deep academic rigor with startup speed and hands-on building. What draws people to Pi is the chance to work on a problem that could reshape industries — from manufacturing and logistics to household assistance. The team is small but scaling rapidly, and the job mix of research scientists, robotics technicians, controls engineers, and forward-deployed engineers signals a company moving aggressively from lab prototypes to real-world deployment. If you thrive in environments where intellectual ambition meets physical craftsmanship, and where your work literally moves things in the world, Physical Intelligence represents one of the most compelling opportunities in the current AI landscape.

Application Process

1
Explore Open Roles on Physical Intelligence's Ashby-Powered Careers Page
Visit jobs.ashbyhq.com/physicalintelligence to browse their current 16+ open positions. Roles span a wide spectrum — from hands-on positions like Robot Build Technician and Prop Organizer to strategic roles like Business Operations and Forward Deployed Robotics Engineer. Read each job description carefully, as Pi's roles often blend responsibilities in ways unique to a fast-moving robotics startup.
2
Select a Role That Matches Your Skills and Pi's Mission
Physical Intelligence is building something genuinely novel, so don't expect cookie-cutter job descriptions. A 'Forward Deployed Robotics Engineer' at Pi likely means working directly at customer or partner sites to integrate their foundation models into real hardware — a very different job than a similar title at a mature robotics company. Choose the role where your specific skills align with their current stage of scaling from research to deployment.
3
Prepare and Submit Your Application Through Ashby
Ashby's application forms are clean and structured, typically asking for your resume, LinkedIn profile, and sometimes short-answer questions. Pi may include role-specific prompts — for technical roles, expect questions about relevant projects, and for operations roles, expect questions about your experience managing physical workspaces or logistics. Upload a PDF resume to preserve formatting and ensure Ashby's parser reads it accurately.
4
Initial Screening by the Recruiting or Hiring Team
Given Pi's relatively small team size and rapid growth, initial screening is likely handled by a lean recruiting function or directly by hiring managers. At startups of this caliber, resumes that demonstrate both technical depth and adaptability tend to move forward quickly. Expect this stage to take one to two weeks, though high-priority roles (especially those supporting active robot deployments) may move faster.
5
Phone or Video Screen with the Hiring Manager
A first conversation at Pi will likely assess both your technical qualifications and your genuine interest in the company's mission of general-purpose physical AI. For engineering and research roles, be prepared to discuss specific projects where you solved open-ended problems. For operations and technician roles, expect questions about your hands-on experience, reliability, and ability to work in fast-changing environments.
6
Technical Assessment or On-Site Work Trial
For engineering roles, Pi commonly follows the startup pattern of a technical interview that may include a take-home project, live coding, or a systems design discussion focused on robotics, controls, or ML infrastructure. For hands-on roles like Robot Build Technician or Robotics Service Technician, there may be a practical skills assessment or an on-site trial where you demonstrate your ability to work with hardware. This stage directly tests whether you can contribute from day one.
7
Final Interview Round and Offer
The final round at a company like Pi typically involves meeting multiple team members — potentially including founders or senior researchers — to assess culture fit and collaborative potential. Given the company's research-meets-deployment identity, demonstrating that you can communicate across disciplines (e.g., explaining a hardware constraint to an ML researcher) is a strong differentiator. Offers at well-funded startups like Pi commonly include equity compensation alongside salary.

Resume Tips for Physical Intelligence

critical

Lead with Robotics, AI, or Hands-On Hardware Experience

Physical Intelligence is building robots that learn — your resume should immediately signal relevance to this mission. If you've worked with robotic manipulation, reinforcement learning, controls systems, or physical prototyping, make that the first thing a reviewer sees. Even for operations or workplace roles, highlighting experience in hardware-intensive or lab environments will set you apart from candidates with only generic corporate backgrounds.

critical

Use Pi's Language: Foundation Models, Dexterity, Physical AI

Physical Intelligence has a specific vocabulary rooted in their research: foundation models for robots, general-purpose physical intelligence, dexterous manipulation, and pi-zero. Mirror this language naturally in your resume where it applies to your experience. If you've worked on sim-to-real transfer, imitation learning, or large-scale robot data collection, name those techniques explicitly — Ashby's keyword matching and Pi's reviewers will both recognize the relevance.

critical

Upload a Clean, Single-Column PDF for Ashby Parsing

Ashby's ATS parser handles PDFs well, but multi-column layouts, text boxes, and heavy graphics can cause fields to misparse. Use a single-column format with clear section headers (Experience, Education, Skills, Projects). Avoid headers and footers for critical information like your name or contact details, as parsers sometimes skip those regions. A clean layout ensures your application data populates correctly in the recruiter's dashboard.

recommended

Quantify Impact on Physical Systems, Not Just Software Metrics

At Pi, results are measured in the physical world — task success rates, cycle times, hardware uptime, deployment speed. Instead of only listing software metrics like latency or throughput, quantify outcomes like 'improved robotic grasping success rate from 72% to 94%' or 'reduced robot build assembly time by 30% through fixture redesign.' For operations roles, metrics like 'managed a 2,000 sq ft robotics lab serving 25 researchers' are more compelling than vague responsibility statements.

recommended

Highlight Startup Adaptability and Cross-Functional Work

Physical Intelligence has roughly 50-100 employees and is scaling fast. Your resume should convey that you've thrived in environments where roles aren't rigidly defined. If you've simultaneously managed lab equipment, coordinated with researchers, and handled vendor relationships, say so explicitly. Startups at Pi's stage value people who can context-switch and fill gaps without waiting for a process document to be written.

recommended

Include Relevant Projects, Open-Source Contributions, or Research

Pi was founded by researchers who value intellectual contribution. If you've published papers (even workshop papers), contributed to robotics open-source projects (ROS, MuJoCo, Isaac Gym, LeRobot), or built notable personal projects involving physical systems, include a dedicated 'Projects' or 'Publications' section. For technician and operations roles, documenting hands-on builds, shop certifications, or equipment you're proficient with serves the same purpose.

nice_to_have

Keep It to One Page (Two Max for Senior Roles)

Fast-moving startups review resumes quickly. For most applicants, a tightly edited one-page resume is ideal. Senior engineers or researchers with extensive publication records or 10+ years of directly relevant experience can justify two pages. Every line should earn its space — remove roles or details that don't connect to robotics, AI, operations, or startup environments.

ATS System: Ashby

Ashby is a modern, all-in-one recruiting platform increasingly favored by well-funded startups like Physical Intelligence. It combines ATS functionality with recruiting analytics and scheduling, giving hiring teams a streamlined view of every candidate. Ashby's parser is generally reliable with standard resume formats but works best with clean, consistently formatted documents.

Submit your resume as a PDF — Ashby parses PDFs reliably, and this preserves your formatting across all devices the reviewer may use
Use standard section headers like 'Experience,' 'Education,' 'Skills,' and 'Projects' so Ashby's parser correctly categorizes your information
Incorporate keywords directly from the Pi job description — Ashby allows recruiters to search and filter candidates by keywords, so matching their terminology ('controls engineering,' 'robot manipulation,' 'foundation models') increases your visibility
Avoid tables, multi-column layouts, images, or text embedded in graphics — these can confuse Ashby's parsing engine and result in garbled candidate profiles
Fill out all optional fields in the application form — Ashby surfaces completion data to recruiters, and incomplete profiles may be deprioritized
If the application includes short-answer questions, treat them as mini cover letters — Ashby displays these prominently in the candidate profile, and Pi's small team will likely read them carefully

Complete Ashby Resume Guide →

Interview Culture

Interviewing at Physical Intelligence reflects the company's identity as a research-driven startup that builds real, physical systems.

Expect a process that values both intellectual rigor and practical capability — Pi needs people who can think deeply about hard problems and then actually make robots work. For engineering and research roles, the interview process typically spans three to four rounds. An initial recruiter or hiring manager screen assesses your background and motivation. This is followed by one or more technical interviews that may include live problem-solving in areas like controls, ML/AI, or systems engineering, depending on the role. For Forward Deployed Robotics Engineers, expect scenario-based questions about diagnosing robot failures in the field or adapting systems to new environments. The technical bar is high — Pi's founding team includes some of the most cited researchers in robotics and AI, and they hire people who can hold their own in that intellectual environment. For hands-on roles like Robot Build Technician, Robotics Service Technician, and Shift Lead, the process likely includes a practical skills assessment. You may be asked to demonstrate mechanical assembly skills, troubleshoot a hardware setup, or describe your approach to maintaining equipment in a fast-paced lab. Reliability, attention to detail, and the ability to work safely with complex hardware are paramount. Across all roles, culture fit at Pi means several specific things: comfort with ambiguity (the company is defining a new field), a bias toward action over process, genuine excitement about physical AI, and the ability to collaborate across very different disciplines — researchers, engineers, and technicians all work in close proximity. Pi's small size means your interviewers may include founders or senior leaders. Come prepared to discuss not just what you've done, but why physical intelligence as a field matters to you. Demonstrating that you've engaged with Pi's published research (their papers on π0 are publicly available) can be a strong signal of genuine interest.

What Physical Intelligence Looks For

Deep technical skill in robotics, controls, ML, or hands-on hardware — Pi hires specialists who can contribute immediately to building and deploying physical AI systems
Genuine passion for the mission of general-purpose physical intelligence — this isn't a generic employer, and they want people who are specifically excited about making robots smarter
Startup adaptability and comfort with ambiguity — roles at Pi often evolve as the company scales from research prototypes to real-world deployments
Cross-disciplinary communication skills — the ability to bridge the gap between ML researchers, hardware engineers, and operations teams is highly valued in a small, integrated company
Bias toward action and ownership — Pi moves fast, and they look for people who proactively solve problems rather than waiting for detailed instructions
Reliability and precision for hands-on roles — robot build technicians and service technicians must demonstrate meticulous attention to detail and consistent work quality
Collaborative mindset without ego — working alongside world-class researchers requires intellectual humility and the confidence to contribute your own expertise simultaneously

Frequently Asked Questions

How long does the hiring process at Physical Intelligence typically take?

Based on patterns common at well-funded startups of Pi's size and stage, the hiring process likely takes two to four weeks from application to offer for most roles. High-urgency positions — particularly hands-on roles supporting active robot builds and deployments — may move faster. Research and senior engineering roles with multiple technical rounds may take slightly longer. Ashby's integrated scheduling tools help keep the process efficient, so once you're in the pipeline, you should expect reasonably prompt communication.

Do I need a PhD or robotics background to apply to Physical Intelligence?

Not for every role. While Pi's research positions likely expect advanced degrees in robotics, machine learning, or related fields, many of their current openings — Robot Build Technician, Prop Organizer, Workplace Manager, Shift Lead, Business Operations — do not require a PhD or deep research background. What matters across all roles is relevant hands-on experience and genuine alignment with Pi's mission. A skilled technician with experience assembling and maintaining robots is just as essential to Pi's success as a researcher publishing papers on foundation models.

Should I write a cover letter when applying to Physical Intelligence?

If the Ashby application form includes an optional field for a cover letter or additional information, use it — but make it count. A short, focused letter (200-300 words) explaining why Physical Intelligence specifically excites you, what you know about their π0 work, and what unique perspective you bring will stand out far more than a generic template. At a startup this small, the hiring team likely reads these optional fields. If no cover letter field is provided, you can weave your motivation into any short-answer questions Ashby presents.

What's the best format for my resume when applying through Ashby?

PDF is the preferred format for Ashby applications. Use a clean, single-column layout with standard fonts (Arial, Calibri, or similar), clear section headers, and bullet points for experience. Avoid tables, graphics, multi-column designs, and text boxes — these elements can confuse Ashby's parser and result in a garbled candidate profile. Place your name and contact information at the top of the document body (not in a header/footer), and ensure all text is selectable rather than embedded in images.

Does Physical Intelligence offer remote work?

Given the nature of Pi's work — building, testing, and deploying physical robots — most roles likely require on-site presence in their San Francisco Bay Area facilities. Positions like Robot Build Technician, Shift Lead, and Forward Deployed Robotics Engineer are inherently in-person. Some roles in business operations or research ops may have more flexibility, but the default assumption for a hardware-centric robotics company should be that regular on-site work is expected. Check individual job listings for specific location requirements noted in the Ashby posting.

What experience level does Physical Intelligence typically hire for?

Pi's current job postings suggest they hire across a wide experience spectrum. Technician and operations roles may be accessible with 1-3 years of relevant hands-on experience, while engineering and forward-deployed roles likely require 3-7+ years of experience in robotics, controls, or related fields. The presence of roles like Shift Lead and Workplace Manager indicates they also need experienced operational leaders. What unites all levels is the expectation of competence and ownership — at a startup this early, there's little room for extended onboarding, so demonstrating that you can contribute quickly is key.

How should I follow up after submitting my application to Physical Intelligence?

Ashby sends automated confirmation when your application is received, so you'll know it went through. If you haven't heard back within two weeks, a single, polite follow-up email to the recruiting team is appropriate — keep it brief, reiterate your interest in the specific role, and mention one concrete reason you're a strong fit. Avoid multiple follow-ups, as Pi's small team is likely managing a high volume of applications given their funding visibility. Connecting with Pi team members on LinkedIn with a thoughtful message (not a generic connection request) can also increase your visibility.

What should I prepare for a technical interview at Physical Intelligence?

Preparation should be tailored to your role. For engineering positions, review fundamentals of robot controls, motion planning, sensor integration, or ML for robotics depending on the specific role. Familiarize yourself with Pi's published research on π0 and their approach to foundation models for physical tasks — being able to discuss their technical direction shows serious engagement. For technician roles, be ready to describe your hands-on experience with specific tools, assembly processes, and troubleshooting methodologies. Across all roles, prepare concrete examples of problems you solved in ambiguous situations, as this is the daily reality at a frontier robotics startup.

How competitive are roles at Physical Intelligence?

Very. Physical Intelligence has attracted significant attention as one of the most ambitious robotics AI companies to launch in recent years, backed by prominent investors and founded by leading researchers. With only 16+ open roles and high industry visibility, each position likely receives a substantial number of applications. To stand out, your application needs to demonstrate specific, relevant experience — not just general interest in robotics or AI. Tailoring your resume to Pi's exact terminology, showing knowledge of their technical approach, and clearly articulating why you're drawn to their specific mission will give you a meaningful edge over generic applications.

Sample Open Positions

Check Your Resume Before Applying → View 16 open positions at Physical Intelligence

Related Resources

Similar Companies

Sources

Physical Intelligence Careers Page — Physical Intelligence (via Ashby)
Physical Intelligence Official Website — Physical Intelligence
π0: A Vision-Language-Action Flow Model for General Robot Control — Physical Intelligence
Ashby ATS Platform Overview — Ashby