Standard Bots builds industrial robots and the software that runs them. Its flagship product is the RO1, a six-axis collaborative robot arm aimed at manufacturers who want automation without a dedicated robotics team: you demonstrate the task and the robot learns the sequence, rather than someone writing motion code for every part. The company has said it uses NVIDIA’s Isaac Sim to simulate and test its robots, and it points at newer hardware and industrial humanoids in its own funding announcements as it scales. The robots are assembled in the United States, at a plant in Glen Cove, New York that the company is expanding. One quick disambiguation: Standard Bots is the industrial-arm maker, not The Bot Company, Kyle Vogt’s home-robot startup. One caveat for machine-learning candidates drawn by the “AI-native” label: no perception, ML, or controls interview loop is attested here, so if that is your field, read on as orientation only.
The reason to prepare for this loop now is money and momentum. In June 2026 Standard Bots raised a $200 million Series C at a $1 billion valuation, led by RoboStrategy, with participation from existing investors including General Catalyst. A fresh unicorn round pointed at scaling US manufacturing means headcount, and the open roles skew toward customer-facing applications engineering plus a smaller software and robotics team. The broader library of company interview guides helps you calibrate, but keep Standard Bots in its own bucket: it ships physical hardware with a software layer, not a model or an app.
Why the interview looks the way it does
The product explains the questions. A robot that executes a learned sequence of physical actions is, under the hood, an ordering-and-scheduling problem, so a coding round that leans on queues is on-theme rather than arbitrary, and a system-design round framed as “design and run a sequence of robot actions” is the job stated as a whiteboard problem. The AI-assisted coding round is the company interviewing the way it builds: its whole pitch is that AI lets non-programmers operate robots, so it wants to see you work fluently with an AI agent in a real repo.
What the interview actually contains
One caution before the table: the rounds below come from a single detailed, dated candidate account (a June 2026 report for a software-engineering role), which is the full attested evidence base here. Treat it as attested for that one track and timestamp rather than a stable, company-published process. Everything about the applications-engineering track further down is reconstructed from job postings, not a candidate report, and is marked as such. Ask your recruiter to confirm the current shape for your specific req.
| Standard Bots interview stage (one candidate report, June 2026; last row inferred from job postings) | Format | What it screens for | Source |
|---|---|---|---|
| Technical phone screen | LeetCode-style live coding | One standard coding problem; correctness and communication | Attested, 1 candidate report (June 2026) |
| Onsite round 1: coding | Live coding, queue-based problem | Data-structure fluency, clean code under time pressure | Attested (n=1) |
| Onsite round 2: system design | Open-ended design | Design and execute a sequence of robot actions; scoping and tradeoffs | Attested (n=1) |
| Onsite round 3: AI-assisted coding | Live, with Claude Code and repo access given 24h ahead | Whether you can drive an AI agent productively in a real codebase | Attested (n=1) |
| Onsite round 4: behavioral | With hiring manager(s) | Motivation, ownership, fit for a hardware-paced startup | Attested (n=1) |
| Reference check | Recruiter-run | Final confirmation before offer | Attested (n=1) |
| Applications / Solutions Engineer loop | Not publicly reported | Customer-facing automation design on the RO1 (see below) | Inferred from postings; no candidate report |
The same account rates the onsite between average and difficult but fair, with a recruiter who checked in after each stage, a start-to-offer timeline of just over a month, and an offer landing less than a week after the onsite (Glassdoor, June 2026). The report is tagged New York, NY with a virtual onsite; it does not state the candidate’s level or whether the role was remote, hybrid, or office-based. The factory sits in Glen Cove on Long Island, so a software role most likely lands NYC-area or remote, worth pinning down with the recruiter. One report is thin evidence, so weight the shape of the loop over any single detail.
The AI-assisted coding round
This is the round that separates Standard Bots from a generic startup loop, and the 24-hour head start is the tell. You get the repository and the agent (Claude Code) a day early, which makes the round a judgment test. The interviewers want to see that you explored the codebase ahead of time, that you can get the agent to make a real change without blindly accepting a wrong one, and that you can defend output you did not type. Spend the prep window actually orienting in the repo instead of polishing a solution, and go in able to say why you accepted or rejected each thing the agent suggested. Treat it like pair-programming with a partner who is fast and confident and sometimes wrong.
The coding and system-design rounds
The live coding is standard interview fare, reported around a queue problem, so a pass through the common coding patterns and a refresher on time and space complexity covers the algorithmic slice. The system-design round is where the domain shows up: asked to design and run a sequence of robot actions, decompose it instead of jumping to code. Think about how actions are represented and ordered, how you handle one failing mid-sequence (retry, stop, roll back), how state is tracked across the sequence, and how a human operator would define or adjust it, since no-code operation is the whole product. General design muscle from a set of system-design interview guides transfers, as long as you ground the answer in robots and actions.
The roles Standard Bots actually hires for
Read the job board before you over-index on the software loop above. The bulk of the open engineering reqs are Applications Engineer and Solutions Engineer roles: you design automation around the RO1, install and program it at customer sites, build proof-of-concept cells, write sample code and application notes, and travel up to about 50 percent of the time. No candidate has posted this interview, but a field-deployment role like it probes a predictable set of things you can prepare for. Expect to scope a customer’s automation problem end to end out loud: cycle-time and throughput targets, the part’s weight against the arm’s payload and reach, end-effector and gripper choice, fixturing, and machine safety and guarding. Expect to walk through standing up a proof-of-concept cell and programming the RO1 for it, troubleshooting a deployment that faults on the plant floor, explaining it to operators who are not engineers, and sketching rough ROI or payback math for the customer. The postings say a robotics background is not required, but they do ask for a couple of years in complex technical environments (or equivalent education) and working comfort with automation, basic electrical, mechanical, and programming, so the bar here is applied hands-on problem-solving and customer communication more than algorithms. Hardware-side role families (firmware and embedded, controls and motion planning, perception) also exist behind a product like this, but none has an attested loop or a posted band, so scope your prep to the exact req you are applying to.
How to read the comp
Comp data for a hardware company this size is thin, and what exists is role-specific. One concrete band comes from a since-removed Applications Engineer posting (California residency required, remote, taken down in January 2026) that listed $80,000 to $120,000 depending on experience. That is a field-engineering band for one closed req rather than a current software-engineering number, so treat it as a historical data point and confirm anything live with the recruiter. There is no publicly posted US band for the software, firmware, controls, or perception roles, so do not anchor on a number you cannot see. The usual fallback when no band is posted is public H-1B LCA disclosure data, which gives a defensible base-salary floor, but those filings show no Standard Bots records at all, so there is no visa-backed number to cite either. That absence is itself a signal: a company this size with zero LCA filings has most likely not sponsored anyone yet, and the one applications-engineering posting that addressed it said outright that visa sponsorship was not available. If you need an H-1B or a transfer, treat it as a probable no until a recruiter says otherwise, and raise it on the first call. Offers at this stage come as base plus equity, usually stock options, so pin down the grant size, strike price, vesting, and your level, since leveling moves the number more than negotiation does. Run the package through a total-comp calculator to value the equity against the $1 billion valuation, and a salary-negotiation walkthrough covers how to push without torching the offer.
How to prepare
Prioritize the two reps specific to this loop. First, rehearse the AI-assisted round deliberately, because few other companies run it yet: take an unfamiliar repo, point an agent at a real change, and practice narrating out loud why you accept or reject each thing it suggests. Second, prepare one or two concrete robot-action-sequence design answers so the system-design round does not catch you reaching for a generic web-service template. Plain coding reps on queues and the common patterns are the floor, not what sets you apart. If you are going for an applications or solutions role instead, the reps are the ones in the section above: scoping a customer automation problem aloud and walking a non-engineer through a proposed cell. The behavioral round is a real filter at a hardware startup on whether you can ship under physical-world constraints, so bring two or three tight stories; a STAR structure keeps them from wandering. Secondary but worth a pass: a lightweight study plan to spread algorithmic prep over a couple of weeks, and a resume checker, since quantified shipped-hardware bullets read very differently from generic software ones.
If you want comparables, the closest in spirit is Applied Intuition, another hardware-adjacent software company whose loop rewards production-quality code over puzzle speed. Robotics-surge names like Physical Intelligence get grouped in with it in headlines, but they are foundation-model labs for robots, not arm manufacturers, and their interviews skew far more toward research and machine learning. Standard Bots puts a trainable arm on a real factory floor, and the interview keeps pulling back to that: can you build and reason about a system a non-programmer will trust to move.
Practice the behavioral round:
