--- title: 'Robotics Integration Engineer, Tech Lead at Applied Intuition' canonical: 'https://feeny.ai/job/robotics-integration-engineer-tech-lead-applied-intuition-sunnyvale-hgjjxk2a4qxc' type: 'job' last_seen: '2026-11-08' --- # Robotics Integration Engineer, Tech Lead at Applied Intuition - **Company:** [Applied Intuition](https://feeny.ai/companies/applied-intuition) - **Location:** Sunnyvale, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.ashbyhq.com/applied/1c449549-175a-4e69-8fde-5c7d2038988e ## Job description Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at [applied.co](http://applied.co). We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ## About the role The Industrials team automates and adds intelligence to heavy machinery across construction, mining, and agriculture. As a Senior Robotics & Integration Engineer, you will own the software and hardware platform that our intelligent autonomy stack runs on — everything from networking, time synchronization, sensors and drivers, and middleware, down to embedded systems, drive-by-wire, and low-level controls actuation. This role sits at the intersection of hardware, software, and robotics, blending 0→1 development with production systems and direct product and customer-facing work. You will partner with core teams across the company — such as electrical, middleware, firmware, and hardware, etc. — and bring their work together, adapting it into products that enable customer success. As a tech lead, you will coordinate and prioritize the work of multiple engineers on the team as well as cross-functional efforts with internal teams. At Applied Intuition, you will: - Own the vehicle platform end-to-end: networking, time synchronization, sensor selection and drivers, middleware integration, embedded software, drive-by-wire, and low-level controls actuation - Architect and deliver full-system platform capabilities spanning hardware and software, taking them from 0→1 prototypes through to reliable production systems deployed on heavy machinery - Integrate the cross-functional work of internal teams into cohesive, product-ready platforms adapted to customer machines and use cases - Interact directly with customers to identify target use cases, define platform requirements, and drive integrations through to successful deployment in the field - Lead and coordinate a team of engineers: set technical direction, prioritize across competing workstreams, and manage cross-functional dependencies with internal teams - Design and bring up test rigs and validation infrastructure for end-to-end system testing, hardware-in-the-loop verification, and on-vehicle validation - Debug, test, and troubleshoot complex interactions across the full stack — from sensor timing and network behavior to actuation and controls — to ensure reliability and system performance in harsh, real-world environments We're looking for someone who has: - 5+ years of experience in robotics, systems integration, or platform software development, with demonstrated technical leadership or tech lead experience - Bachelor's or Master's Degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related area - Deep, hands-on experience across the robotics platform stack: sensors and drivers, networking and time synchronization, middleware (e.g., ROS 2, DDS, or proprietary frameworks), and embedded systems - Strong development experience in C/C++ on Linux, including debugging and testing complex real-time systems - Experience with vehicle actuation and low-level controls, such as drive-by-wire systems and controller integration - Strong understanding of electronic systems and how to set up, instrument, and debug them - Ability to coordinate and prioritize across multiple engineers and cross-functional teams to deliver on customer commitments Nice to have: - Experience with heavy machinery, off-road vehicles, agriculture, mining, or construction equipment - Experience with automotive and industrial communication technologies, including CAN, J1939, LIN, Ethernet/TSN, PTP/gPTP, AUTOSAR, etc. - Experience taking robotic systems from prototype to production, including safety considerations, release processes, and CI/CD for embedded targets - Experience interacting directly with customers to scope, deliver, and support projects that meet their requirements - Firmware development experience or familiarity with microcontroller-based systems - Skills in adjacent areas (electrical/harness design, CAD/3D printing, PCB design, etc.) Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you! ## About Applied Intuition ## Company Overview - **One-liner**: Applied Intuition builds software and digital infrastructure to bring physical AI — autonomous driving and robotics — to every moving machine on the planet. - **Entity Type**: Private (Series C; $1.5B total funding raised) - **Headquarters**: Sunnyvale, California, United States - **Founded**: 2017 - **Founders**: Qasar Younis (CEO) and Peter Ludwig (CTO) ## Core Business - **Primary industry/industries**: Autonomous driving, robotics, defense technology, simulation and validation software for ADAS/AD systems. - **Target customers**: B2B — automotive OEMs (18 of top 20 global automakers), trucking, construction, mining, agriculture, and the U.S. Department of Defense and its allies. - **Mission or purpose statement**: “To build physical AI that creates a safer, more prosperous world.” ## Products & Services - **Tools for Vehicle Intelligence**: Simulation, validation, and data management platforms for ADAS and autonomous vehicle development. SaaS and software tools for engineers building intelligent machines. - **Vehicle OS**: An operating system for vehicles that manages over-the-air updates, data pipelines, and in-vehicle software, enabling automakers to deploy and maintain software-defined vehicles at scale. - **Self-Driving Systems / Autonomy Stack**: End-to-end autonomous driving solutions, including perception, planning, and control, designed for cars, trucks, and off-road machinery. - **NextGen OS & Infrastructure**: Platforms for defense, robotics, and next-generation physical AI applications, including solutions used by the U.S. military. ## Market Standing - **Valuation**: ~$15 billion (as of 2024/2025, per LinkedIn profile) - **Key Metric**: Total funding of $1.5 billion; 1,153 employees (+55% YoY); 396 active job postings - **Notable Investors/Partners**: Andreessen Horowitz, General Catalyst, Floodgate, NVIDIA, Databricks; partners include 18 of top 20 global automakers and U.S. defense agencies. - **Growth Signals**: - Acquired EpiSci (Feb 2025), Caliber Data Labs, and entities in Germany/UK. - Headcount grew 55% YoY; 1,000+ engineers. - Office expansion to 12 countries (US, UK, Germany, Sweden, South Korea, Japan, India, etc.). - Active hiring — job postings up 117.6% YoY. ## Competitive Advantages - **Deep domain expertise**: Founded by YC alum/former GM engineer (Qasar Younis) and ex-Google Maps/Android Automotive engineer (Peter Ludwig). - **Talent density**: 1,000+ engineers, 40+ ex-CTOs, and 30+ former founders on staff — a unique concentration of senior, founder-level talent. - **Breadth of industry coverage**: Serves automotive, defense, trucking, mining, agriculture, and construction — rare diversification in physical AI. - **Trusted by government and top OEMs**: U.S. military and 18 of top 20 global automakers rely on their stack, creating high switching costs and deep moats. - **End-to-end platform**: Covers simulation, validation, OS, and full autonomy stack — not just a point solution. ## Strategic Focus - **Expansion into defense**: Heavy investment in defense AI, including acquisitions and dedicated government offices in Washington D.C., San Diego, and Ft. Walton Beach. - **Scaling physical AI beyond automotive**: Driving autonomy into mining, agriculture, construction, drones, and satellites. - **Growing global footprint**: Opening offices in Europe and Asia to serve local OEM and defense clients. - **Deepening the research lab**: Building a world-class AI research team focused on real-world intelligence. ## Why Work Here - **Culture**: “1,000 engineers, 40 ex-CTOs, and 30 former founders” — a high-agency, high-trust environment where engineers take ownership of hard problems from day one. - **Impact**: Work on technology that goes from sports cars to fighter jets to mining trucks — real-world physical AI that saves lives and reshapes industries. - **Benefits**: - 100% employer-paid medical, dental, vision, and life insurance - 50% 401(k) matching - Up to 12 weeks fully paid parental leave - Learning stipend for education and training - Fitness and wellness stipend - 25 free Lyra coaching/therapy sessions per year - Catered lunches and expensed dinners, snacks, and drinks at offices - Alumni network for long-term professional connections - **Work model**: Office-first culture with global hubs (12 offices across US, Europe, and Asia). Not fully remote — roles are generally tied to a specific office location. ## Sources 1. [appliedintuition.com — About](https://www.appliedintuition.com/about) 2. [appliedintuition.com — Homepage](https://www.appliedintuition.com/) 3. [linkedin.com — Applied Intuition Company Page](https://www.linkedin.com/company/applied-intuition-inc) 4. [appliedintuition.com — Careers](https://www.appliedintuition.com/careers) 5. [appliedintuition.com — Jobs](https://www.appliedintuition.com/jobs) ## Other roles at Applied Intuition - [Technical Program Manager, Defense OS](https://feeny.ai/job/technical-program-manager-defense-os-applied-intuition-sunnyvale-9bnc63pbf5qe) — Sunnyvale, CA - [Network and Security Engineer, Defense](https://feeny.ai/job/network-and-security-engineer-defense-applied-intuition-sunnyvale-nrjf7nmpp25m) — Sunnyvale, CA - [Full-Stack Engineer, C2 Command & Control](https://feeny.ai/job/full-stack-engineer-c2-command-control-applied-intuition-sunnyvale-p5c35qknx672) — Sunnyvale, CA - [Software Engineer, C++ (Onboard Platform)](https://feeny.ai/job/software-engineer-c-onboard-platform-applied-intuition-sunnyvale-p489bx55ft2a) — Sunnyvale, CA - [Autonomy Integration Engineer (Drone Stack)](https://feeny.ai/job/autonomy-integration-engineer-drone-stack-applied-intuition-sunnyvale-tan8xdrrvasy) — Sunnyvale, CA - [Autonomy Integration Engineer - Drone Stack](https://feeny.ai/job/autonomy-integration-engineer-drone-stack-applied-intuition-freeport-7fzbq9hxsp5t) — Freeport, FL - [Software Engineering Manager (Defense/PhysicalAI)](https://feeny.ai/job/software-engineering-manager-defense-physicalai-applied-intuition-washington-bfs8784c9g0k) — Washington, DC - [Product Manager - Data Engine](https://feeny.ai/job/product-manager-data-engine-applied-intuition-sunnyvale-wbg3ysdbymb5) — Sunnyvale, CA - [Senior Software Engineer - Frontend Platform](https://feeny.ai/job/senior-software-engineer-frontend-platform-applied-intuition-sunnyvale-fqhx4vndyafr) — Sunnyvale, CA - [Software Engineer - Frontend Platform](https://feeny.ai/job/software-engineer-frontend-platform-applied-intuition-sunnyvale-8s9ndgc19p33) — Sunnyvale, CA