Full-Time
Software Engineer 1 New Grad
Posted on 8/5/2026
Samsara
5,001-10,000 employees
IoT platform for fleet management
Compensation Overview
£67.6k - £79.5k/yr
London, UK
Hybrid
Three days on-site in the London office and two days working remotely per week.
 Software Engineering (1) |
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- Currently be a senior pursuing a Bachelor's degree in Computer Science, Mathematics, or a related technical field.
- Have an expected graduation date in 2027.
- Work three days per week in the London, United Kingdom office and two days remotely.
- Have experience with technologies similar to Golang, TypeScript, React, GraphQL, or React Native; direct experience with the exact stack is not required.
- Be legally authorized to work at the company and in the specified work location, if applicable.
- Build backend infrastructure for the Internet of Things platform, including data ingestion and storage systems.
- Create full-stack user experiences that turn data from millions of devices into actionable insights.
- Strengthen infrastructure behind the React Native mobile application.
- Build and maintain embedded software running directly on company hardware, including edge artificial intelligence, multimedia frameworks, power management, and real-time data processing.
- Collaborate with product, design, customer success, and cross-functional engineering teams to iterate on features and deliver customer outcomes.
- Participate in customer interviews and use metrics to evaluate the outcomes of engineering work.
- Own engineering problems end to end, from researching complexity and developing solutions through delivery.
- Experience with technologies similar to Golang, TypeScript, React, GraphQL, or React Native.
- Experience from hackathons, side projects, or exploratory technical projects.
- Experience using artificial intelligence tools to accelerate debugging, draft code, or explore unfamiliar problem spaces.
Samsara provides an integrated IoT platform that combines AI-powered video security, vehicle telematics, and digital tools to boost safety, efficiency, and sustainability. It works by deploying hardware sensors and cameras on fleets and equipment that send data to a cloud platform, where AI analyzes it to deliver real-time dashboards, route optimization, and maintenance alerts. It differentiates itself with a broad, end-to-end solution across multiple industries and a strong API for custom integrations, plus a focus on analytics and electric vehicle adoption. Its goal is to help customers reduce fuel costs, improve operational efficiency, and accelerate the transition to electric vehicles.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
San Francisco, California
Founded
2015
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Tracking Label addresses $35B cargo theft crisis with near-real-time Bluetooth visibility
- Agent Studio saves 30 minutes per call and six figures annually in reporting costs
- AI Multicam and 360 Camera enhance safety in high-risk environments like mining and airports
What critics are saying
- OEM digitization by Stellantis and Rivian erodes hardware attach rates within 12–18 months
- Netradyen and Verizon Connect deploy cheaper Bluetooth trackers competing in cargo theft market
- Amazon may launch free IoT platform with zero-cost labels collapsing Samsara subscription model
What makes Samsara unique
- Agent Studio enables no-code AI agents for physical operations without IT expertise
- Samsara Network covers 99% of major U.S. roads via millions of connected devices
- proprietary Coaching Priority analyzes 45+ risk factors using AI trained on thousands of crashes
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Benefits
Health, dental, and vision coverage for employees and their families with premiums 100% covered
Mental health and wellness support
Family planning resources and parental leave policy
Quarterly reimbursement account you can use for wellness, family care, professional or personal development expenses
Flexible PTO and family leave
401k with up to 4% matching
Bi-annual company events
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%INFINITI Fleet Safety Training has launched an integration with Samsara that converts safety event data into automated training workflows. The system addresses the challenge fleets face managing high volumes of safety alerts by automatically creating training assignments based on configurable rules. The integration allows fleets to set parameters around safety events, driver thresholds, and timing to determine which behaviours require training intervention. It includes driver and group synchronisation features to align training with existing operational structures. "Safety data only matters when it leads to a clear next step," said Jay Wommack, president and chief executive of INFINITI. The tool aims to reduce administrative burden whilst standardising safety responses across organisations. The integration is available to existing INFINITI clients through their client success representatives.
Does InTow have an API? Dispatch dashboards and accounting. Rex Automaton did not find a public InTow API or Zapier app. Here is how Rex Automaton built live dispatch dashboards, alerts, and accounting sync with InTow CSV exports plus Samsara GPS. Short answer: Rex Automaton did not find a public InTow developer API or a Zapier/Make connector. Rex Automaton integrated InTow by scheduling CSV exports from InTow Connect Console, ingesting them into a database, joining that data to live Samsara GPS, and driving a dispatch dashboard, alerts, and an accounting CSV for QuickBooks imports. If you run InTow today, this pattern gets you dashboards and sync without waiting on a vendor API. Definition: InTow API integration is the practice of automating exports from InTow, normalizing them, and programmatically combining them with external systems like Samsara and accounting so dispatch can see, alert, and reconcile without manual copy paste. Most tow operators want one screen that shows active calls, trucks on map, ETAs, and the day's money. InTow Connect already pushes in-app or text notices, but there is no public API Rex Automaton could find and no self-serve Zapier or Make app. The Connect Console can export call data to Excel, but there is no native schedule that pushes it out automatically. | Process | Manual InTow workflow | Automated InTow workflow | | Dispatch visibility | Flip between InTow screens. Ask drivers for location by phone or SMS. One dashboard: active calls from CSV export joined to live Samsara GPS, colored by SLA and status. | | Alerts | Text chains and group chats. Easy to miss during rush. Rules engine sends Slack or SMS alerts for aging calls, unassigned calls, or driver off-route. | | Accounting | Re-key call data or hand-edit spreadsheets for QuickBooks. ETL maps InTow CSV to a clean accounting CSV and drops it into an import folder. | | Driver scorecards | Weekend spreadsheet chore with fragile formulas. Nightly rollups compute on-time, cancel ratio, ticket value by driver. | Rex Automaton run a three-lane architecture: export out of InTow on a reliable cadence, enrich with live GPS from Samsara, and publish two outputs: a dispatch dashboard with alerts and an accounting-ready CSV. * InTow CSV export lane: InTow Connect Console supports exporting call data to Excel or CSV. Rex Automaton standardize the export layout and store each file in a watched folder. A small service ingests each file and upserts rows into Postgres with idempotency. * GPS lane via Samsara: InTow integrates with Samsara on the InTow side. For external dashboards Rex Automaton read GPS from Samsara directly and join by truck identifier. The official Samsara marketplace page notes the integration is built by InTow and enabled through InTow Manager. Plan vendor coordination and a Windows service on your side for their native link. * Publish lane: Its service computes KPIs, powers a dashboard API, sends alerts for aging or unassigned calls, and writes an accounting CSV mapped to your import template. Sources Rex Automaton relied on while designing this: InTow Connect Console supports exporting to Excel for downstream uses like payroll. InTow's mobile app supports push or text notices for call events. Samsara's marketplace confirms an InTow-built integration that you enable through InTow and requires installing an InTow GPS Service on a Windows PC and mapping trucks to Samsara vehicles. The first move is to agree on one export layout from InTow Connect Console and drop every export file into a shared "intow_exports" folder. Rex Automaton keep a manifest so re-exports do not duplicate rows. Key gotcha: exports are manual in the Console. Until InTow offers a schedule, assign a day-close step or use a desktop job to trigger the same export button reliably. Its ingestion service watches the folder, parses each CSV, and upserts on the stable key you choose (for example: call_number). Gotcha: Excel sometimes saves numbers like call numbers in scientific notation or strips leading zeros. Save as CSV and set sensitive columns to Text before export. Rex Automaton keep trucks and driver associations explicit so joins are stable even when unit labels change on paper. Gotcha: keep a mapping table for any difference between InTow's truck identifiers and what drivers or Samsara call a unit. That avoids silent mismatches. For external dashboards Rex Automaton read GPS directly from Samsara and join on trucks. Keep the fetch isolated so the rest of your system stays model and vendor agnostic. Gotcha: Samsara's marketplace notes the InTow integration is enabled by InTow and requires a Windows InTow GPS Service. For your external dashboard, you can still read Samsara directly in parallel. Plan for vendor lead time to enable their native link inside InTow. Rex Automaton publish a simple API for the dashboard and a rules engine that pages the team when a call sits too long without a truck. Gotcha: InTow Connect supports push or text notices in-app. Webhooks for external systems are not documented. Your alerting should fire from your ETL layer where you control formats and routing. Accounting does not need every column. Rex Automaton write the minimal set your bookkeeper wants and drop the file in a shared import folder. Gotcha: an official InTow to QuickBooks integration is unconfirmed. QuickBooks imports accept CSV but column names and tax handling vary by account. Have your accountant finalize the template before you automate this export. Any dashboard stack works. Rex Automaton often serve one JSON route for active calls joined with GPS. Client code does the rest. Gotcha: set a short-cache on GPS to avoid hammering telematics and to keep the map smooth. * No public API: Rex Automaton could not find an official InTow developer API. Plan for export-driven integration. If an API appears later, keep your ETL modular so you can swap sources without a rebuild. * Manual export cadence: The Connect Console's export is manual. Until scheduling exists, treat day-close export as a shift task or automate the desktop with a safe, idempotent macro. Feet on the ground beats a brittle headless browser here. * Webhooks unconfirmed: InTow Connect supports push or text notices. Rex Automaton did not find outbound webhooks. Build alerts from your ETL so paging is in your control. * Samsara enablement steps: Samsara's marketplace page says the InTow integration is built by InTow. Expect vendor coordination and a Windows InTow GPS Service install where you map trucks to Samsara vehicles. * Time zones and DST: Store call_dt in UTC and render in local time. Daylight saving transitions create apparent 59 or 61 minute gaps if you do not anchor to UTC internally. * Excel type drift: Excel will coerce long IDs, phone numbers, and leading-zero fields. Lock columns to Text in the export layout and validate on ingest. For a towing operation running InTow, this pattern removed the need to re-key data and gave dispatch a single pane: live calls from yesterday's and today's exports, trucks from Samsara, and clear red-yellow-green rules for what needs action. Accounting receives a clean CSV at the end of day instead of a fragile workbook. Why this matters: roadside volume is relentless. AAA reported it responded to over 32 million roadside rescues in 2023. A team that is not re-keying and screen-flipping moves faster when volume spikes. Source: https://newsroom.aaa.com (AAA newsroom reports annual roadside assistance volumes). Does InTow have an official API? Rex Automaton did not find public developer docs or a published base URL and auth spec for an InTow API. Its production approach uses exports from InTow Connect Console as the system of record and layers automation on top. Is there a Zapier or Make.com connector for InTow? Rex Automaton found no official InTow app listings in the Zapier or Make directories. Treat integration as a light data pipeline: export CSV from InTow, watch-folder ingest, and publish to your downstream tools. How do you build a real-time dashboard without webhooks? You combine frequent InTow exports for call state with live GPS from Samsara. The GPS lane is real time. Call-state freshness depends on your export cadence. Many operators do day-close plus ad-hoc exports during peaks. Can this sync to QuickBooks automatically? An official InTow to QuickBooks integration is unconfirmed. Rex Automaton generate a CSV mapped to your accountant's import template and drop it where they expect it. QuickBooks Desktop and Online both accept CSV imports when the columns match the account's setup. What does this cost monthly? Infrastructure is light: a small database and a serverless or tiny VM process to watch files and compute alerts. Your main cost is the engineering build and light maintenance. There are no per-call platform fees in this pattern. How long does it take to stand up? Rex Automaton typically stand up the ingest, schema, and basic dashboard in one to two weeks after the export layout is locked. Samsara enablement inside InTow requires vendor coordination, so get that request in early. If you want a single-pane dispatch dashboard and clean accounting handoff while you stay on InTow, Rex Automaton has shipped this exact pattern. See its towing ops write-up on moving a demo to live, then book a short call. Rex Automaton cover the dispatch build on its services page too. Read its related post Tow company ops dashboard: from demo to live, see its services at /services#workflow-automation, and book time at /book. Want Rex Automaton to build this for you? 15-minute discovery call. No pitch. Rex Automaton tell you what to automate first.
Samsara has released a report finding that equipment theft and loss costs mid-size operations an average of C$18 million annually. The study surveyed 1,500 financial executives across seven countries, focusing on organisations with annual revenues between C$340 million and C$1.4 billion. Surprisingly, 72% of operational costs stem from disappearing assets valued under C$14,000, such as tools, sensors, and generators, rather than heavy machinery. The report found that 71% of operations without asset tracking experience equipment theft quarterly, with 25% of new equipment budgets allocated to replacements. At 38% of Canadian organisations lacking real-time visibility, employees spend over 10 hours weekly searching for missing equipment. Additionally, 82% of Canadian operations reported significant shutdowns or delays due to missing critical assets in the past year.
How Samsara is bringing AI agents into the physical world. AI agents are moving beyond office workflows and into trucks, dispatch centers, maintenance shops, and field teams. Samsara CTO John Bicket explains what that shift could mean for safety, trust, and the physical economy. Jul 15, 2026 AI agents are usually imagined inside a browser: drafting an email, writing code, booking a meeting, or quietly eating your spreadsheet for lunch. But some of the biggest opportunities for agents may be happening far away from a laptop screen - in trucks, warehouses, job sites, dispatch centers, maintenance shops, and everywhere else that keeps the physical economy moving. In its latest episode of The Neuron: AI Explained, Corey Noles and Grant Harvey sit down with Samsara Cofounder and CTO John Bicket at Samsara Beyond 2026 in Las Vegas to talk about what AI looks like when the work involves vehicles, frontline workers, equipment, safety teams, and actual miles on the road. Samsara has spent years connecting fleets and frontline operations through dash cams, telematics devices, asset trackers, and operational software. The company's next bet is that this network can become an AI layer: one that sees what is happening, understands what needs attention, and helps teams take action before a small issue becomes an expensive one. That is a different version of the agent story than "AI can write your meeting recap." In physical operations, a missed signal can mean a breakdown, delayed shipment, safety incident, or a manager drowning in alerts. The useful agent is not the one with the flashiest demo. It is the one that helps a dispatcher, driver, or maintenance leader make the next decision faster and with more context. Its favorite moments. * 1:13: John breaks down Samsara's AI push, from Agent Studio and AI cameras to bird's-eye operational visibility. * 2:43: Why AI at the edge matters when the data comes from vehicles, cameras, and connected equipment rather than just documents and chat windows. * 5:46: The leap from paper workflows to AI - and why some companies may skip parts of the traditional "digital transformation" playbook altogether. * 7:53: How Agent Studio is meant to give operations teams a practical, permissioned on-ramp to building agents without turning everyone into an AI engineer. * 15:12: What it looks like when AI can communicate with drivers, not just summarize data for people at headquarters. * 17:09: Why physical-world agents have a different job than software-only agents: they have to handle messy, real-time environments where context changes fast. * 28:16: The shift from detecting driving events after they happen to identifying patterns that could signal risk earlier. * 30:43: The hard conversation around cameras, privacy, driver trust, and why safety tools fail when workers experience them as surveillance. * 35:07: AI ride-alongs: using AI to scale the kind of coaching and context that traditionally depends on a human sitting in the passenger seat. * 37:07: John's vision for the next few years of operations: less hunting through dashboards, more real-time visibility and guidance. AI agents need to leave the office. Samsara's pitch is not that one magical agent will run a fleet. It is that operational teams already have the data they need - spread across vehicles, cameras, logs, policies, maintenance records, routes, and driver workflows - and AI can help turn that data into action. That is the logic behind Agent Studio: teams can configure agents around their own policies, permissions, triggers, and operational needs. In practice, that could mean creating a maintenance digest, flagging a geofence event, assisting a driver with a company-policy question, or surfacing the few risks that deserve a manager's attention first. The key word is first. Physical operations do not need another dashboard full of beeps. They need systems that reduce the "where is it?" tax: Where is the truck? Where is the shipment? Which vehicle needs attention? Which safety issue is actually urgent? Who needs a follow-up before the next shift? AI is most useful here when it shrinks the pile of work rather than adding another screen to monitor. More automation raises the value for trust. Samsara's customers are not starting from zero with AI. Many already rely on AI cameras, in-cab safety alerts, automated event detection, and dashboards that surface operational risks, and they've largely grown to appreciate the protections those provide. Agents extend that foundation by helping teams interpret the information faster, automate follow-up work, and make existing insights easier to act on. But the more active these systems become, the more carefully companies need to manage the experience for frontline workers. Better visibility can improve safety and help teams respond faster. Keeping messages and actions focused on that value helps prevent concerns about such things being used to catch them doing something wrong. That is why the conversation around AI ride-alongs and coaching matters. The strongest use case is giving drivers useful support, recognizing safer behavior, and helping human managers focus their attention where their experience can make the biggest difference. The long-term adoption test for ai in all work is whether agents can build on tools workers already use without becoming another source of noise or scrutiny. They have to be useful to operations leaders, understandable to frontline teams, and designed so people know what the system is doing and why. Samsara's broader strategy is to turn its connected hardware and operational data into an intelligence layer. Agent Studio pushes that strategy beyond identifying events and surfacing insights toward automating what happens next. Because agents are not just coming for inboxes. They're now arriving in the real world. Watch and listen now: YouTube Dive deeper. * Samsara's Agent Studio and agentic-AI announcement - a closer look at the workflows, permissions, and operational use cases behind the conversation. * Everything AI Samsara announced at Beyond 2026 - its deeper breakdown of the company's AI cameras, maintenance tools, tracking labels, and agent strategy. Corey Noles is the Host of The Neuron: AI Explained podcast and Managing Editor of AI and Experimental Content at TechnologyAdvice, where he leads the charge in testing and refining emerging content strategies across the company's portfolio.
Samsara has launched Agent Studio, a platform enabling operations teams to build and deploy AI agents for physical operations without IT expertise. The tool automates repetitive tasks like paperwork management and driver communications. The San Francisco-based company's platform leverages 25 trillion data points captured in 2025 to provide real-time fleet and worksite insights. Users can access over 15 pre-built templates or create custom workflows. Early adopters in food distribution and field services have reported significant time savings, including reduced communication delays and automated fleet status reporting. The platform aims to help teams reallocate resources from manual tasks to higher-value initiatives. Samsara, founded in 2015 by John Bicket and Sanjit Biswas, develops cloud-based sensor systems combining plug-and-play sensors, internet connectivity, and software.