Software Engineer - Systems Engineering AI Tooling

ABOUT APPLIED INTUITION 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. We are an in-office company, and our expectation is that 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. ABOUT APPLIED INTUITION Applied Intuition builds the toolchain that enables the world's leading physical AI programs to develop, validate, and deploy these complex systems safely. Our software is used by top automotive OEMs, trucking companies, and robotaxi programs to accelerate the path from research to production. ABOUT THE TEAM The Insights platform is the data and analytics layer underlying Applied Intuition's physical AI development tooling suite. We own the full stack — from ingestion and query infrastructure to data discoverability, dataset management, and next-generation agentic analytics. Our platform gives autonomy engineers complete visibility and control over the data their workflows produce: sensor logs, simulation runs, model eval results, KPIs, and more. It gives users the flexibility to analyze and operationalize that data quickly, minimizing any technical barriers. We're building the next-generation Insights platform for physical AI — one that scales alongside the fleets, simulation environments, and end-to-end models that define where the industry is headed. WHAT YOU'LL WORK ON Ingestion & Data Reliability — The entry point for all data on the platform. The correctness, freshness, and reliability of everything downstream depends on getting this right at scale across a diverse set of upstream sources. Query Critical Path — The infrastructure every single query in our product flows through. Latency, correctness, and stability here has a direct, visible impact on every user of the platform, every day. Dashboarding & Autonomy-Native Visualization — The analytics surface that users actually see. Beyond standard BI, we build visualizations and integrations specific to physical AI: geographic views, log and simulation playback, and domain-specific renderers that don't exist off the shelf. Agentic Analytics — The frontier of what Insights becomes. Building the architecture that lets an AI understand a user's intent, reason about the underlying data and physical AI concepts, and deliver answers, charts, and dashboards entirely through natural language. Data Discoverability & Governance — The connective tissue that lets users and agents understand what data exists, where it came from, and how to use it. Without this, scale becomes a liability rather than an asset. Dataset Lifecycle Management — The operational foundation that keeps the data lakehouse healthy and performant as data volumes grow by orders of magnitude. Data Wrangling & Transformation — The tools that give users agency over their own data — enabling custom preparation and ETL flows without ever leaving the product. WHY THIS ROLE This is a high-ownership role on a small team building the infrastructure that the entire autonomy development workflow depends on. You'll have end-to-end ownership of systems used daily by engineers at some of the most sophisticated autonomous vehicle programs in the world — at a stage where your architectural decisions will shape the platform for years to come. WHAT WE'RE LOOKING FOR * 3+ years of industry experience   * Experience building production data infrastructure, platform engineering, or distributed systems * Experience with large-scale data processing and query execution at production scale * Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring * Experience with data lakehouse architectures, table formats, or query federation is a strong plus * Comfort operating across the stack — from storage and query engines to APIs and product-facing tooling * Familiarity with building for observability: metrics, alerting, and operational health of data systems * Experience developing, testing, and shipping software with coding agents  * Bonus: experience with LLM tool use, developing agentic workflows, or semantic layers for natural language interfaces * Bonus: exposure to multimodal data, geospatial systems, or AV/robotics tooling Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually. 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.

ABOUT APPLIED INTUITION 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. We are an in-office company, and our expectation is that 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. ABOUT THE ROLE We're looking for a Hardware Systems Engineer with strong robotics and software expertise to own the system, hardware, and electrical/electronics (EE) level requirements for a new Applied Intuition product of strategic importance. Working from vehicle-level requirements, you'll decompose and allocate them into clear, testable system and hardware requirements, and you'll define the EE systems for the test benches and rigs used to validate the product. This is a requirements- and architecture-focused role - you will not perform hands-on hardware development (no schematic capture, PCB layout, or board bring-up). Instead, you define what the hardware and test infrastructure must do, own the requirements and architecture in a model-based environment, and establish the process, tooling, and traceability foundations - ASPICE, Polarion, and Cameo - that the rest of the program builds on. AT APPLIED, YOU WILL: Requirements from vehicle-level requirements * Decompose and allocate vehicle-level requirements into system-, hardware-, and EE-level requirements; define system bounds, capabilities, and functional features. * Convert customer needs and autonomy/Vehicle OS use cases into system and hardware requirements and operational objectives for the system as a whole. * Ensure the built system meets its intended requirements, and keep requirements current as vehicle-level requirements evolve. EE systems for benches & rigs * Define the electrical and electronics (EE) architecture for the test benches and rigs used to validate the product, including hardware-in-the-loop (HIL) rigs and bench setups. * Specify power distribution, wiring and harnessing, signal interfaces, instrumentation, data acquisition (DAQ), sensor/actuator emulation, and safety interlocks for benches and rigs. * Capture bench and rig requirements and interfaces, and partner with the teams that build and maintain them so the infrastructure delivers the coverage needed to verify system and software requirements. Architecture & modeling * Use Cameo (MBSE/SysML) to build, maintain, and analyze the functional and logical architecture, and define variant management for Vehicle OS products. Verification, traceability & compliance * Own validation and verification of requirements at both the system and hardware level. * Maintain end-to-end traceability across user journeys, features, system requirements, subsystem/hardware/EE requirements, bench and rig definitions, and test cases - across the full toolchain. * Define processes for ASPICE Level 2 compliance, partner with the QA team to meet industry standards (e.g., ISO 26262 functional safety), and configure Polarion (requirements management) and Cameo (architecture management) for compliant industry processes. Cross-functional collaboration * Work daily with hardware, embedded, perception, and autonomy software teams, providing requirements guidance so the delivered design stays as close as possible to the intended design. * Coordinate with test, validation, and lab teams to align bench and rig capability with the program's verification needs. WE'RE LOOKING FOR SOMEONE WHO HAS: * 3+ years of systems or hardware systems engineering experience (5+ preferred) covering requirements, functional decomposition and allocation, analysis, and verification. * Bachelors and/or Masters Degree in Electrical Engineering, Computer Engineering, or a related field. * Experience deriving and allocating requirements from higher-level (e.g., vehicle-level) requirements. * Working understanding of EE systems - power, wiring and harnessing, signal interfaces, instrumentation, and DAQ - sufficient to define test benches and rigs. * Excellent written and verbal communication - able to move fluidly between deep technical detail and stakeholder-level clarity. Note: this role does not involve hands-on hardware development (schematic capture, PCB layout, or board bring-up). Nice to have: * Familiarity with software safety analyses (SW-FTA, SW-FMEA) or software safety case development at the application or platform level — this is a strong differentiator for this role * Familiarity with software tool classification and qualification activities per ISO 26262 Part 8 * Experience across multiple vehicle domains — ADAS or propulsion or chassis, or body electronics — with an understanding of domain-specific safety challenges * Exposure to ASPICE (Automotive SPICE) software process assessments alongside ISO 26262 * Experience working with third-party assessors through product assessment or audit cycles 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.